Issues Regarding the Adoption of Green Building Policies

The thesis highlights the variables regarding green building technologies of Australia. The research aims to identify general challenges or adversities to effective policy adoption of initiatives in green building. The main challenges or hurdles confronted in the adoption of policies and implementation of Green Building Technologies in the construction industry of Australia. The primary data analysis discovered that adoption of economic costs and prices, financial schemes and supports, lack of interest towards green buildings, adoption of technologies towards green technologies and inadequate support towards green technology of Australia is present significantly.

Running head: GREEN BUILDING POLICIES
Issues Regarding the Adoption of Green Building Policies
Jay Parikh
APIC

GREEN BUILDING POLICIES 2
Acknowledgement:
 First of all, I would like praise the almighty GOD for providing me the opportunity to carry out the study.
 I am also highly indebted to {Prof…………….} for his guidance and advice in conducting this work. I would like to thank
{Prof……….} for his encouragement and direction during the work.

GREEN BUILDING POLICIES 3
Abstract:
The thesis highlights the variables regarding green building technologies of Australia. The green building policy is crucial in current
scenario as it may enhance the use of bamboos and green materials reducing environment pollution, national expense and adversities
caused by ecological burden. Cost effectiveness and implementation towards correct profitability and sustainability are maintained
towards the green building technology. Improved maintenance, operation, deconstruction and renovation processes would lead to a
correct policy making towards green building technologies. The thesis aims to identify general challenges or adversities to effective
policy adoption of initiatives in green building. The research also has an objective to the issues from the perspectives of the various
stakeholders in the construction industry and their perceptions regarding the viability as well as the need of execution of green
building policies in the economy of Australia. The main challenges or hurdles confronted in the adoption of policies and
implementation of Green Building Technologies in the construction industry of Australia. The primary data analysis discovered that
adoption of economic costs and prices, financial schemes and supports, lack of interest towards green buildings, adoption of
technologies towards green technologies and inadequate support towards green technology of Australia is present significantly. Higher
degrees of data base and skepticism are found to be significantly correlated with each other. Drawbacks of financial, technical and
governmental point of view are discussed and qualitatively analyzed. Government of Australia should reconsider its green building
policies and provide adequate incentives to the building authorities. The role of stakeholders and policy makers in this subject would
be very crucial and future-decider. Proper policy of government or non-government authorities would increase awareness of the
people.
Key words
Global construction, Ecology, Durability, Sustainability, Green building policy, Construction industry, Stakeholders, Legal and
Judicial Systems, Inductive and Deductive research, Reliability, Factor analysis, Correlation coefficient, Homogeneity, Tax and
Subsidiary systems, Costs and benefits.

GREEN BUILDING POLICIES 4
Table of Contents
Chapter One: Introduction and Background Information............................................................................................................................3
1.1. Introduction...................................................................................................................................................................................3
1.2. Background Information...............................................................................................................................................................3
1.3. Purpose of the Study.....................................................................................................................................................................3
1.4. Objectives......................................................................................................................................................................................3
1.5. Research Questions.......................................................................................................................................................................3
1.6. Conclusion....................................................................................................................................................................................4
Chapter Two: Literature Review.................................................................................................................................................................4
2.1. Introduction.......................................................................................................................................................................................4
2.2. Green buildings.................................................................................................................................................................................4
2.3. Nonexistence of knowledge and awareness......................................................................................................................................4
2.4. Economic Issues................................................................................................................................................................................4
2.5. Government barriers..........................................................................................................................................................................5
2.6. Attitude and Market...........................................................................................................................................................................5
2.7. Inexistence of Incentives...................................................................................................................................................................5
2.8. Nonexistence of Green technologies champions...............................................................................................................................5
CHAPTER 3: METHODOLOGY...............................................................................................................................................................6
3.1. Research Hypotheses.........................................................................................................................................................................6
3.2. Research Design................................................................................................................................................................................6
3.3 Research Philosophy..........................................................................................................................................................................6
3.4 Research Approach.............................................................................................................................................................................7
3.5 Data Collection Procedure..................................................................................................................................................................7
3.6 Data collection techniques and analysis.............................................................................................................................................8
3.7 Ethical consideration..........................................................................................................................................................................8
3.8 Research Limitations..........................................................................................................................................................................8
3.8 Conclusion..........................................................................................................................................................................................8
4. Data Analysis and Findings:....................................................................................................................................................................8
4.1. Findings of Quantitative Study and its Analysis:..............................................................................................................................8
4.1.1. Descriptive statistics with visualisation:.....................................................................................................................................8
4.1.2. Correlation coefficients:............................................................................................................................................................13
4.1.3. Factor Analysis:........................................................................................................................................................................14
4.1.4. Reliability of the variables of dataset:.......................................................................................................................................16
4.2. Thematic Qualitative Analysis and its Findings:............................................................................................................................17
5. Conclusion:............................................................................................................................................................................................17
6. Recommendation:..................................................................................................................................................................................18
7. References..............................................................................................................................................................................................19
8. Appendix:..............................................................................................................................................................................................20
8.1. Survey questionnaires for quantitative study:.................................................................................................................................20
8.2. Survey questionnaires for qualitative study:...................................................................................................................................20

GREEN BUILDING POLICIES 5
Table of Figures
Figure 1: Higher economic costs and market prices adopt Green Building Technology as compared to the conventional technologies 10
Figure 2: Lack of financial schemes and supports to implement in Green Building technologies...........................................................11
Figure 3: Unwillingness to replace the conventional methods by new green building techniques is the reason of slow adaptation.......11
Figure 4: High degree of scepticism about the implementation of the GB technologies..........................................................................12
Figure 5: High conflicts among the different stakeholders stall the growth of the GB Technology in the contemporary construction...12
Figure 6: Lack of sufficient and productive databases regarding the adoption and implementation of GB technologies........................13
Figure 7: Lack of inadequate incentives of government to promote and encourage the implementation of GB technologies.................13
Figure 8: The Scree Plot of Factor Analysis..............................................................................................................................................16
Table of Tables
Table 1: Higher economic costs and market prices adopt Green Building Technology as compared to the conventional technologies. 10
Table 2: Lack of financial schemes and supports to implement in Green Building technologies.............................................................10
Table 3: Unwillingness to replace the conventional methods by new green building techniques is the reason of slow adaptation.........11
Table 4: High degree of scepticism about the implementation of the GB technologies...........................................................................11
Table 5: High conflicts among the different stakeholders stall the growth of the GB Technology in the contemporary construction....12
Table 6: Lack of sufficient and productive databases regarding the adoption and implementation of GB technologies.........................13
Table 7: Lack of inadequate incentives of government to promote and encourage the implementation of GB technologies..................13
Table 8: Table of Pearson’s correlation coefficients between the variables..............................................................................................14
Table 9: Testing the sphericity of the variables.........................................................................................................................................15
Table 10: Principal Component Analysis in Extraction Method...............................................................................................................16
Table 11: Factor or Component Matrix.....................................................................................................................................................17
Table 12: The value of reliability statistic.................................................................................................................................................17
Table 13: Validity levels of each variables of the data set........................................................................................................................17

GREEN BUILDING POLICIES 6
Chapter One: Introduction and Background Information
1.1. Introduction
The aspect of environmental protection and sustainability has become an integral part of every industry. Sustainable
development is aimed at meeting the needs of the current generation without compromising the right of the future generation to meet
their needs with the same resource. According to Cooper et al. (2016), there are three essential aspects of sustainable development.
These include the social development, environmental protection, and economic development. Over the years, owing to the
considerable changes in the climatic conditions in the global framework, which has been becoming more apparent with time, the
preservation of climate and prevention of environmental degradation have become as issue immense concern, among the politicians,
economists, environmentalists as well as the population as a whole across the world (Young, 2012).
In this context, the different industries across the globe have been trying to cut down their share of contribution to the pollution
and environmental degradation, which primarily includes the global construction industry. The global construction industry is counted
as one of the highest consumer of global energy, thereby contributing majorly to the carbon dioxide emissions. It has been empirically
observed that the global construction industry consumers nearly 40% of the total energy and contributes to the emission of nearly one
third of the total amount of green gas in the international scenario (Kibert, 2016). Keeping this into consideration, over the last few
decades, the concept of “green building” has been gaining popularity in the construction industry across the world. The concept of
green building has been considered as the forth component of the environment development in the current period (Tam et al., 2017).
Green building (GB) is the process of adopting structures by the use of processes that consider resource-efficient and environmental
responsibility as the primary goal throughout the life-cycle of the building process (Ciora, Maier & Anghel, 2016). It covers the
construction and design all through to maintenance, operation, deconstruction, and renovation processes. The notion of green building
refers to the result which is derived by implementation of sustainable approaches of construction, with the primary benefits of the
same. These are the production of enhanced health conditions of humans, higher protection and sustainability of environment,
efficiency in usage of resources and energy as an overall increase in the profitability and environmental sustainability of the industry
into consideration (Zuo & Zhao, 2014). In the construction industry, green building is gaining an increased acceptance as a viable
solution to achieving the growing demand for a healthy and environmental friendly building with considerable focus on the
sustainability issues. Also known as the high performance or sustainable buildings, green buildings consider the comfort, durability,
utility element, and economy of a building.
1.2. Background Information
In the current global construction industry, the concept of green building is being adopted in the global wake of environmental
stewardship. With the rise in demand of healthy lifestyles as well as with the increase in the global concern regarding the
environmental preservation and prevention of greenhouse emissions, the concept of green building is taking a stole whether it is the
design of an office or a house. The concept and the practice has also begun to be implemented in the construction industries across the
world abruptly. However, there is still limited knowledge on sustainable or green building in the global construction industry.
According to Tam et al. (2017), the adoption of green housing requires various rating systems for sustainable buildings as they have to
meet certain standards to qualify as green building. There also remains considerable debates regarding the feasibility and cost
effectiveness of such initiatives. The implementation of green building also needs incorporation of the same and its provision in the
policy frameworks of the different countries across the globe. This procedure is not expected to be smooth and easy provided the fact
that implementation of such initiatives and building procedures are expected to bring a disruption in the existing frameworks of
construction industry across the world and in the activities and profitability of the different stakeholders of this industry (Eichholtz,
Kok & Quigley, 2013). As a result, there is a need to take into consideration the initiative and concern of green building policy
adoptions as well as the aspects of the different hurdles which are expected to be cropping up in the implementation of policy
frameworks targeted to enhance the scopes of green building in the construction industry, while planning for the process within the
industry.
1.3. Purpose of the Study
Cooper et al. (2011) denote that the uptake of GB technology is not as apparent as is expected in the international construction
environment. With the growing interest, there still exist many barriers that persist in adopting green building policies. The
examination of these barriers is essential is it creates lack of efficiency in the potentiality of the economic and environmental benefits
on the green building policies in the construction industry. Just as important is the evaluation of issues affecting the adoption of green
building policies to effectively foster the implementation of sustainable building. The main aim of this study is thus to identify
common challenges or barriers to effective policy adoption of initiatives in green building. The paper evaluates these aspects from the
stakeholder perspectives with the aim of proposing effective recommendations that can be adopted as solutions to the policy
challenges identified.
1.4. Objectives
Keeping the fact that green building has been developing as one of the primary components in the construction industry, the
concerned research aims to study the different hurdles and issues which are found in the aspects of implementation of policies
regarding green building initiatives in the construction industry. The research also aims to view the issues regarding the same from the
perspectives of the different stakeholders in the construction industry and their perceptions regarding the viability and need of
implementation of green building policies, in the economy of Australia.
1.5. Research Questions
To study the probable issues hampering the smooth and abrupt adaptation of the Green Building technologies in the
construction, the following research questions have been taken into consideration in the concerned research.
The primary research question in this aspect is as follows:
What are the main issues or hurdles faced in the policy adoption and implementation of Green Building Technologies in the
construction industry of Australia?
Based on the primary question, there are few secondary research questions which the concerned research explores and analyzes
based on the data collected and interpreted, the questions being as follows:

GREEN BUILDING POLICIES 7
 Is there any conflict of interest among the stakeholders regarding the adoption of Green Building Technologies vis-à-vis
conventional ones in the construction industry in Australia?
 Are there sufficient databases and information available regarding the adoption as well as profitability and sustainability of
such technologies?
 What are the benefits perceived by the stakeholders from implementation of the GB technologies?
 What are the threats perceived by the stakeholders from the implementation of the GB technologies?
 What are the cost advantages or disadvantages of implementation of GB technologies over conventional ones?
 What is the level of trust prevailing in the industry and among the different stakeholders behind the implementation of the
same?
1.6. Conclusion
Thus, as can be seen from the above discussion, in the contemporary period, Green Building has been developing as a new
component in the construction industry and shows the potential to be an alternative in the construction sector in the global framework,
much of which can be attributed to the increase in the awareness regarding the prevention of pollution and degradation of the
environment. Green Building technologies are expected to be incorporated in the policy frameworks of the different countries.
However, there remains different hurdles and issues in the aspect of development of policy frameworks in this aspect. The concerned
research aims to study these hurdles which are present in the aspect of policy framing for implementation of green building
technologies in the construction industries, especially in Australia.
Chapter Two: Literature Review
2.1. Introduction
In this section, we will go through the literature relating to understanding green buildings and issues regarding adoption of
green building policies. As a whole, the issue of adopting the construction of green buildings comes with a fair share of challenges as
they occur in any green management initiative. According to Visscher, Laubscher, and Chan (2016), barriers that affect affecting
environmental management systems are information scarcity, inadequate information, inappropriate knowledge, ineffective financial
resource management, improper implementation techniques and harsh organizational culture. The paper is thus focused on pointing
out the gaps that exist in barriers conjoint in the adoption of green building policies. In detail, this chapter covers the barriers to
adoption of green building policies.
2.2. Green buildings
For a building to be termed green, then it would be appropriate for the construction project to allow the preservation of the
natural environment that surrounds it. Putting up the building will enhance a healthy environment that will not interrupt the land,
water, and resources within and outside the building. The green building should be in a position to promote the development of
environment, health, and economy.
2.3. Nonexistence of knowledge and awareness
Information is critical to be able to have adequate information or understanding, and it also entails creating acceptance and
public awareness of the Australian’s. It is important to note that green building technology is usually sophisticated than the
conventional building technology. Therefore, the availability of knowledge is significant in green building arena. McAuley (2018)
points out that, the carrying out of green technology research is a matter that is tedious to developers, contractors, and clients. In
Australia, some researchers point this challenge to the scarceness of green building information, familiarity, technical expertise,
research, and education according to Miller, Spivey, and Florance (2008). With these paucities, it is crucial to point out that these
hindrances are correlated and in turn affect implementation of green building policies in Australia.
Without proper research, it is a challenging task to come up with a business idea for a green building that is considerable. With
information and reliable research being inadequate, for stakeholders to improve their awareness and understanding they will not be in
a position to act in a manner that suggests that they support the matter. Lack of information is the critical barrier for stakeholders to
adopt green policies (Nath, 2014). Together with the lack of research, these impact the stakeholders negatively to be able to be aware
of the importance of green building technologies in Australia. Even if investors or the government understand green technologies,
several populations do not understand green technologies making implementing the programs trying (Hwang, Zhu, Wang, & Cheong,
2017). Improper or lack of understanding may result in the inappropriate definition of green building and this, in turn, hinders green
development in Australia. Implementing green building guidelines will be a daunting task because stakeholders will desist from green
building adoption reason being, they are not familiar with the green designs, products, materials and related technologies.
2.4. Economic Issues
Economic or financial concerns are a major hindrance to the adoption of green building policies leaves alone other policies
worldwide. During construction of green building projects, the cost is one of the critical economic factors. When a general comparison
is carried out, it costs more to start and finish green building projects due to its expensive materials compared to the conventional
buildings and such factor translates to their policy adoption. Third party costs thwart embracing of green building policies (Visscher,
2016). Such third part costs in Australia include high consultant costs and green building costs. McAuley (2018) denotes that,
financial barriers to green building guidelines include inaccurate perceptions that green building has the possibility of inviting high
initial investments. Economic issues occur in the form that in Australia, new conventional buildings are increasing at skyrocketing
rate, energy prices aren’t low, and the use of resourceful technologies such as green technologies and renewable technologies are not
efficiently exhilarated.
Necessary calculations have been carried out by investors, and the results are that they discover that the costs of green building
are high and this makes the buildings have an extended payback period. It, in turn, discourages their participation in the coming up or
implementation of green building policies. Green building specialists put an approximation that the cost of green building is 3 to 4%
higher than the conventional structures (McAuley, 2018). In China, the high additional costs that are related to green building
technologies are considered as one of the primary barriers to their policy implementation. In developed counties such as Canada, the

GREEN BUILDING POLICIES 8
situation is of no difference. In Australia stakeholders are forced to import the green technology from other countries, this raises the
costs in most cases and turns to affect policy execution. Policy implementation becomes an uphill task when financial institutions and
individuals are not willing to fund green building projects.
2.5. Government barriers
According to Love et al., (2012), governments play a vital role in the elevation and relegation of green technologies. The
Australian government is in a position of creating rules and systems that favour environment conservation and these results into the
Australians obligations to green technologies applications. With this being taken to effect, contrary to the outcome can be realized
when green technologies are not given the serious attention they deserve. Such government barriers represent a hindrance to the
adoption of green building policies in Australia. Enforcing regulations by the government are critical for the accomplishment of
government strategies, and the nonexistence of enforcement bodies can creep up rules related to green buildings like in China (Koski
& Lee, 2014). Legal systems with penalties exist in Australia, but sometimes, the weak judicial system makes it challenging to enforce
such laws. In a country like China, the management and monitoring systems are vulnerable in green building systems. Australian
government push will be significant in accelerating green building development. Thus, they should have the capacity to provide
incentives (both financial and non-financial), act as a green building supporter, form and regulate standards.
2.6. Attitude and Market
It is important to note that there is a significant role played by stakeholder’s attitude and this cannot be wished away in the
green building market. The attitude in this point also entails behaviour and lifestyle. Stakeholder’s such as the government, investors,
and clients approach significantly influence the adoption of green technologies (Love et al., 2012). The Australian citizens being the
users and the ones with funds put them in the stakeholder's category in the development of green building policies. Hence, they are in
the in the top level of decision making. If the Australian citizens have less or no interest in matters green technologies, then it is not
practicable for other project teams to adopt green building policies. The clients form an integral part of the green building policy
implementation and if they show eagerness, then there is a source of stimulus for other players in the policy adoption.
Koski and Lee (2014). Note that stakeholder’s attitude being negative affect green building market and when they are resilient
to change from using the conventional building technologies and practices then it negatively affects policy adoption. Due to the lack
of information concerning green technologies and the stakeholder’s unchangeable traditional ideas, many Australians become
uncertain of the quality and performance of the green buildings. The suspicion impedes espousal of the green building policies.
2.7. Inexistence of Incentives
Australia faces numerous challenges in green building policy adoption. Economic or financial barrier being a vital issue, then
there are high chances that lack of incentives will also cripple the policy execution. This makes it demoralizing for those who
participate in green technology to contribute to the policymaking. Green designs are not approved quickly in several countries due to
inappropriate knowledge to its benefits, and this discourages the stakeholders to participate in green technology policy enactment
(Joachim et al., 2017). Many Australians who occupy the green buildings raise concerns about the green buildings. Different issues
come into play with topics ranging from querying how comfortable the buildings are and if they are worthy of the cash they pay. The
occupant’s problems are influenced by the same barriers of green building technologies discussed in this literature review. The green
building occupants raise numerous concerns making it uncomfortable for stakeholders to engage in the green building policy
implementation.
2.8. Nonexistence of Green technologies champions
There have been severe barriers to green building technology development in Australia. The restrictions make it challenging
for green technology defenders to be available. Nath (2014) asserts that in many countries it’s difficult to find green technology
development defenders since the citizens in most cases usually are resistant to change from the conventional to green buildings. The
resistance to change and inefficient knowledge causes lack of green building champions who can be part of the stakeholders to drive
implementation of the policies.
2.9. Conclusion
Australia faces the task of developing its economy and protecting its ecological environment is on top of its priorities. Green
buildings have the capabilities to diminish the negative impact of constructing buildings on the natural environment. The adoption of
green building policies is affected by many barriers. Australia faces numerous obstacles to adoption of green building policies. This
literature review aimed at analysing the problems in adoption of green building policies in Australia. With the comparison of different
experts and journals, most of the barriers explained in this review are found to be critical. The barriers that are most critical include
non-existence of knowledge, financial issues, government barriers, attitude, and market.

GREEN BUILDING POLICIES 9
CHAPTER 3: METHODOLOGY
This section evaluates and expresses the methodological designs which have been adopted in the concerned study. It presents
the hypothesis and research questions that guides the research towards finding objectives related to the research. It also focuses on the
instrumentation as well as related factors that directly or indirectly affect the study process.
3.1. Research Hypotheses
Keeping into consideration the purposes and the objectives of the research, the following hypotheses have been formed, which
have been studied in the light of the empirical evidences collected and analysed. Based on the results of the analysis these following
hypotheses have been accepted or rejected and the implications and interpretation of the same have been discussed in the result section
of the research.
The hypotheses are as follows:
H1: There exists higher economic costs and market prices in the aspects of adoption of Green Building Technology as compared to the
conventional technologies used in the construction industry
H2: Unwillingness to change or replace the conventional methods by new green building techniques have been one of the primary
reason behind its slow adaptation
H3: There exists a lack of financial schemes and supports (like that of bank loans) in the aspect of implementation of Green Building
technologies
H4: There exists high degree of scepticism about the implementation of the GB technologies
H5: There exists a lack of sufficient and productive databases regarding the adoption and implementation of GB technologies
H6: There exist lack of inadequate incentives on part of the government to promote and encourage the implementation of Green
Building technologies in the construction industries
H7: High conflicts of interests among the different stakeholders in the industry stalls the growth of the Green Building Technology in
the contemporary construction scenarios
3.2. Research Design
The research design shows the type of construct in which the concerned studies are constructed and data are collected and
interpreted. There remain three general types of research designs which are as follows:
Figure 1: Types of research design
(Source: As created by the author)
The explanatory research design helps in identification of the different types of occurrences in the domain of research while
the exploratory research design helps in collecting and exploring the different aspects related to the concerned research topic, thereby
helping in the development of new insights about the topics. On the other hand, the descriptive research design enables the collection
and expansion of the domain of knowledge based on the collection and analysis of data (Meyers, Gamst & Guarino, 2016).

GREEN BUILDING POLICIES 10
Keeping this into consideration, the concerned research takes a descriptive research design in order to examine and analyse the
issues and their impacts regarding the design and implementation of policy frameworks for encouraging adaptation of the Green
Building Technologies in the construction sector of Australia.
3.3 Research Philosophy
There exist three philosophical approaches in the general global research framework, which are as follows:
Figure 2: Types of research philosophies
(Source: As created by the author)
The Positivism research philosophical approach facilitates the testing of different hypotheses and assertions on the basis of the
empirical data collected and based on the acceptance or rejection of such hypotheses, helps the research to reach its conclusion. On the
other hand, realism can be used for both quantitative as well as qualitative researches due to the absence of highly structured research
frameworks like that of the positivism framework (Hughes & Sharrock, 2016). On the other hand, interpretivism philosophy deals
with in-depth analysis of small and generally qualitative research samples.
The concerned research taking into account both quantitative as well as qualitative research methods for analysing a small but
detailed sample, both the positivism and realism philosophical frameworks are taken into account.
3.4 Research Approach
There are two broad types of approaches which are incorporated in the research frameworks usually, which are as follows:
Figure 3: Types of research approaches
(Source: As created by the author)
The inductive approach facilitates the formation of research aims and questions and executing the research on the basis of the
same. Conversely, in the deductive research approach the hypotheses are first formulated and then their viability is tested on the basis
of the information or evidences collected. Keeping this into consideration, the concerned research takes a deductive approach, thereby
forming the relevant hypotheses and testing the same in the light of the data collected.
3.5 Data Collection Procedure
For the purpose of analysis of concerned research topics quantitative and qualitative data can be collected. The quantitative
data collection helps in analysing and observing the numerical and cardinal aspects of the concerned research topics and also helps in
making the results more comprehensive and easy to apprehend (Mertens, 2014). However, there are different aspects, especially the
ordinal and abstract ones which are crucial but cannot be taken into account by the quantitative methods, for which qualitative data are
required to be collected. Keeping this into consideration, both qualitative and quantitative data are collected to provide the opportunity
for varied comparisons of the data. Chan et al. (2017), observe that a viable research must be supported by reliable and accurate data.

GREEN BUILDING POLICIES 11
Data can be primary or secondary in nature. While primary data sources collected by the researcher directly, helps in
enhancing the data quality and authenticity, however, the same is a time taking and costly process. However, the secondary data
collection method, in spite of being cost efficient, easy and time saving, often face the problem of biasness or faults in the data,
thereby distorting the analysis as a whole. Keeping this into consideration, primary data is collected and analysed in the concerned
research (Hewson & Stewart, 2016). The main instruments for the collection of primary quantitative and qualitative data are by the
methods of interviews and research surveys in the sample population.
3.6 Data collection techniques and analysis
For the purpose of the concerned research, primary data has been collected in the form of interviews and surveys from a
sample size of 60 respondents consisting of Green Building experts from different fields, with the relevance of the construction
industry of Australia. Primary quantitative data has been collected in the form of quantitative surveys from these 60 chosen
respondents, focussing on the primary issues which are present in the aspects of policy development and implementation of GB
technologies. The research also takes into account the need for in depth and qualitative analysis of the individual perceptions of the
relevant respondents. For the purpose of the same, 10 out of the chosen 60 respondents are re-selected on the basis of random
sampling and in depth and open-ended interviews have been conducted with them in order to take into account their perceptions in
these aspects.
The quantitative data collected has been analysed statistically with the help of software platform SPSS and correlation and factor
analysis have been done to analyse the viability of the hypotheses formed previously. On the other hand, thematic analysis is done on
the qualitative data collected to make the research findings robust and with proper insight (Auberlet et al., 2014).
The value of correlation coefficient 0 to 1 indicates a positive correlation and the value of correlation coefficient from (-1) to 0
refers a negative correlation. On the other hand, the value of correlation coefficient between (±1) to (±0.7) means strong correlation
between two scale variables. The value of correlation coefficient between (±0.7) to (±0.4) refers the moderate correlation between two
scale variables. The value of correlation coefficient in the interval form (±0.4) to (±0.1) interprets a weak correlation. Finally, the
correlation coefficient in the interval (±0.1) to 0 refers that the two variables are uncorrelated to each other (Hall, 2015). The
correlation coefficient helps to find the direct one-to-one link between two variables. The table also displays the significance of the
correlation coefficients. The significances of the correlation coefficients are tested with respect to 5% level of significance. The
researcher can find whether the association is positive or negative. Also, it could be interpreted whether the link is one of the three
cases that are weak, medium and strong. On the other hand, factor analysis is a technique that is used to decrease a large number of
variables into lesser number of factors. This method extracts maximum common variance (MCV) from all the variables and combine
them into a common score. Actually, factor analysis is a part of Generalised Linear Model (GLM). This method ignores
multicollinearity and accepts correlation between variables. Factor analysis is accomplished by principle component analysis and used
for hypothesis testing.
In the qualitative data analysis thematic analysis is incorporated. Thematic analysis is a broadly used qualitative data analysis
method or the cluster of methods that focus on detecting patterned meaning across a data set. There are many ways of thematic
analysis could be found for data analysis. These are inductive approach, deductive approach, sematic way, constructionist approach,
realistic or essentialist approach and latent way. In this thesis, the researcher takes into account constructionist approach. It focuses on
looking at how certain reality is generated by the data.
3.7 Ethical consideration
According to Nix and Hall (2016), ethical consideration means that respondents should not suffer physical pain, loss of privacy,
discomfort, or embarrassment. Ethical consideration also stipulates that dignity of the research respondents should be upheld. Ethical
consideration also underscores importance of assuring confidentiality and anonymity of the respondents (Chan, Darko, Ameyaw, and
Owusu-Manu, 2017). Besides, any deception or misleading information regarding research objectives should be avoided. Based on
these criteria, adequate measures will be taken to ensure that respondents do not suffer in any way by participating in this research.
The identities of the respondents will be adequately secured. Throughout the survey and interview, high level of objectivity has been
observed. The interviews have been conducted with the consent of the respondents and to preserve their dignity, anonymity has been
maintained in the concerned research (Resnik, 2015).
3.8 Research Limitations
Whereas deliberate steps will be taken underscore the validity of the research, some limitations may be inevitable. For
instance, the study is limited to a sample of population. Due to time and cost, the questionnaire will rely on small sample of those who
were issued with survey questions. Also, the research specifically concentrates on the respondents in Australia, thereby making the
findings the recommendations based on the research findings subjective and applicable to the country itself as the scenarios may or
may not be the same in the other parts of the world, which is also another primary limitation of the concerned research.
3.8 Conclusion
This chapter has discussed the research data collection methods that will be adopted during the study. The chapter has
illustrated how interview and survey instruments have been chosen according to their best fit and how the same have been employed
to collect relevant data with the aim of addressing research questions and hypotheses formed for the concerned research. The chapter
has also examined the design of the interviews and the questionnaire in accordance with the feedback and methods of analysis.
4. Data Analysis and Findings:
4.1. Findings of Quantitative Study and its Analysis:
As discussed above, the concerned research takes a mixed method of analysis of data collected, involving both quantitative as
well as qualitative data analysis techniques. In the quantitative analysis, with the usage of SPSS statistical software platform,
correlation and factor analysis tests have been conducted on the quantitative data collected. On the other hand, a thematic qualitative

GREEN BUILDING POLICIES 12
analysis has been done on the qualitative data collected, the primary themes being technical, financial and governmental facts. The
results of the analysis, both quantitative and qualitative are arranged and interpreted in the following sections of this chapter of the
research.
4.1.1. Descriptive statistics with visualisation: Do the higher economic costs and market prices adopt Green Building Technology as compared to the conventional
technologies?
Frequency Percent
Valid
Strongly Disagree 2 3.3
Disagree 9 15.0
Neutral 17 28.3
Agree 26 43.3
Strongly Agree 6 10.0
Total 60 100.0
Table 1: Higher economic costs and market prices adopt Green Building Technology as compared to the conventional technologies
Out of 60 respondents only 11 (18.3%) employees either strongly disagree or disagree with the fact that there exists higher economic
costs and market prices in the aspects of adoption of Green Building Technology as compared to the conventional technologies used in
the construction industry (Field, 2013). 32 people either agree or strongly agree with that fact.
The heights of bars are proportional to the frequencies of each level of a variable.
Figure 1: Higher economic costs and market prices adopt Green Building Technology as compared to the conventional technologies
 Is there the lack of financial schemes and supports to implement in Green Building technologies?
Frequency Percent
Valid
Strongly Disagree 4 6.7
Disagree 8 13.3
Neutral 17 28.3
Agree 26 43.3
Strongly Agree 5 8.3
Total 60 100.0
Table 2: Lack of financial schemes and supports to implement in Green Building technologies
Among 60 responders a significant number of 26 (43.3%) responders regard that there exists a lack of financial schemes and supports
in the aspect of implementation of Green Building technologies. Only 12 (20%) responders denied the proposition.

GREEN BUILDING POLICIES 13
Figure 2: Lack of financial schemes and supports to implement in Green Building technologies
 Is slow adaption the reason of unwillingness to replace the conventional methods by green building techniques?
Frequency Percent
Valid
Strongly Disagree 3 5.0
Disagree 5 8.3
Neutral 9 15.0
Agree 35 58.3
Strongly Agree 8 13.3
Total 60 100.0
Table 3: Unwillingness to replace the conventional methods by new green building techniques is the reason of slow adaptation
Here, a very high proportion of responders agreed (58.3%) that there remains unwillingness to change or replace the conventional
methods by new green building techniques that have been one of the primary reason behind the slow adaption of green building
technologies. Only 11.3% responders disregarded the consideration. Only 9 responders are neutral about this fact.
Figure 3: Unwillingness to replace the conventional methods by new green building techniques is the reason of slow adaptation
 Is there available any kind of scepticism about the implementation of the Green Building technologies?
Frequency Percent
Valid
Strongly Disagree 2 3.3
Disagree 6 10.0
Neutral 16 26.7
Agree 30 50.0
Strongly Agree 6 10.0
Total 60 100.0
Table 4: High degree of scepticism about the implementation of the GB technologies

GREEN BUILDING POLICIES 14
Only 13.3% people denied the fact that there exists high degree of scepticism about the implementation of the green building
technologies. A large percentage of 36 people (60%) responders supported and strongly supported the fact that there exists high degree
of scepticism about the implementation of the green building technologies. The significant number of 16 people had no idea about that
fact.
Figure 4: High degree of scepticism about the implementation of the GB technologies
 Is there present any kind of high conflicts among the different stakeholders stall the growth of the Green Building Technology
in the contemporary construction scenario?
Frequency Percent
Valid
Strongly Disagree 6 10.0
Disagree 9 15.0
Neutral 16 26.7
Agree 24 40.0
Strongly Agree 5 8.3
Total 60 100.0
Table 5: High conflicts among the different stakeholders stall the growth of the GB Technology in the contemporary construction
Out of 60 samples 29 people accepts and 15 people denies the that high conflicts among the various stakeholders in the industry stalls
the growth of the green building technology in the contemporary construction scenarios. Therefore, the number of responders for the
acceptance of the proposed consideration are greater in number than the number of people who disregard the presence of high
conflicts of interest.
Figure 5: High conflicts among the different stakeholders stall the growth of the GB Technology in the contemporary construction
 Are there any lack of sufficient and productive databases regarding the adoption and implementation of Green Building
technologies?
Frequency Percent
Valid Strongly Disagree 4 6.7
Disagree 9 15.0

GREEN BUILDING POLICIES 15
Neutral 13 21.7
Agree 31 51.7
Strongly Agree 3 5.0
Total 60 100.0
Table 6: Lack of sufficient and productive databases regarding the adoption and implementation of GB technologies
Out of 60 responders 31 (51.7%) respondents proposed that they agree with the fact that there exists a lack of sufficient and productive
databases regarding the adoption and implementation of the green building technologies. 21.7% people either strongly disagreed or
disagreed with the fact. Similarly, 21.7% people kept their equal types of consideration about the proposition.
Figure 6: Lack of sufficient and productive databases regarding the adoption and implementation of GB technologies
 Is the lack of inadequate incentives of government to promote and encourage the implementation of the Green Building
technologies observed?
Frequency Percent
Valid
Strongly Disagree 3 5.0
Disagree 9 15.0
Neutral 24 40.0
Agree 19 31.7
Strongly Agree 5 8.3
Total 60 100.0
Table 7: Lack of inadequate incentives of government to promote and encourage the implementation of GB technologies
Out of 60 responders, a huge percentage of 40% people are neural about the fact that there exists the lack of inadequate incentives on
the part of the government for promoting and encouraging the implementation of the green building technologies in the construction
industries. Similarly, 40% people agree or strongly agree with the fact. Only 20% people disregarded the consideration.

GREEN BUILDING POLICIES 16
Figure 7: Lack of inadequate incentives of government to promote and encourage the implementation of GB technologies
4.1.2. Correlation coefficients:
Table 8: Table of Pearson’s correlation coefficients between the variables
Correlations
There exists
higher
economic
costs and
market
prices in the
aspects of
adoption of
Green
Building
Technology
as compared
to the
conventional
technologies
used in the
construction
industry
There exists a
lack of
financial
schemes and
supports (like
that of bank
loans) in the
aspect of
implementation
of Green
Building
technologies
Unwillingness
to change or
replace the
conventional
methods by
new green
building
techniques
have been one
of the primary
reason behind
its slow
adaptation
There exists
high degree of
scepticism
about the
implementation
of the GB
technologies
High
conflicts of
interests
among the
different
stakeholders
in the
industry
stalls the
growth of the
Green
Building
Technology
in the
contemporary
construction
scenarios
There exists a
lack of
sufficient and
productive
databases
regarding the
adoption and
implementation
of GB
technologies
There exists
lack of
inadequate
incentives on
part of the
government to
promote and
encourage the
implementation
of Green
Building
technologies in
the
construction
industries
There exists
higher economic
costs and market
prices in the
aspects of
adoption of
Green Building
Technology as
compared to the
conventional
technologies
used in the
construction
industry
Pearson
Correlation
1 .562** .497** .627** .472** .588** .462**
Sig. (2-
tailed)
.000 .000 .000 .000 .000 .000
N
60 60 60 60 60 60 60
There exists a
lack of financial
schemes and
supports (like
that of bank
loans) in the
aspect of
implementation
of Green
Building
technologies
Pearson
Correlation
.562** 1 .625** .622** .477** .631** .589**
Sig. (2-
tailed)
.000 .000 .000 .000 .000 .000
N
60 60 60 60 60 60 60
Unwillingness to
change or
replace the
conventional
methods by new
green building
techniques have
been one of the
primary reason
behind its slow
adaptation
Pearson
Correlation
.497** .625** 1 .549** .496** .534** .468**
Sig. (2-
tailed)
.000 .000 .000 .000 .000 .000
N
60 60 60 60 60 60 60
There exists
high degree of
scepticism about
the
implementation
of the GB
technologies
Pearson
Correlation
.627** .622** .549** 1 .668** .614** .605**
Sig. (2-
tailed)
.000 .000 .000 .000 .000 .000
N
60 60 60 60 60 60 60
High conflicts of
interests among
Pearson
Correlation
.472** .477** .496** .668** 1 .647** .539**

GREEN BUILDING POLICIES 17
the different
stakeholders in
the industry
stalls the growth
of the Green
Building
Technology in
the
contemporary
construction
scenarios
Sig. (2-
tailed)
.000 .000 .000 .000 .000 .000
N
60 60 60 60 60 60 60
There exists a
lack of sufficient
and productive
databases
regarding the
adoption and
implementation
of GB
technologies
Pearson
Correlation
.588** .631** .534** .614** .647** 1 .548**
Sig. (2-
tailed)
.000 .000 .000 .000 .000 .000
N
60 60 60 60 60 60 60
There exists lack
of inadequate
incentives on
part of the
government to
promote and
encourage the
implementation
of Green
Building
technologies in
the construction
industries
Pearson
Correlation
.462** .589** .468** .605** .539** .548** 1
Sig. (2-
tailed)
.000 .000 .000 .000 .000 .000
N
60 60 60 60 60 60 60
**. Correlation is significant at the 0.01 level (2-tailed).
The value of correlation coefficient 0 to 1 indicates a positive correlation and the value of correlation coefficient from (-1) to 0 refers a
negative correlation. On the other hand, the value of correlation coefficient between (±1) to (±0.7) means strong correlation between
two scale variables. The value of correlation coefficient between (±0.7) to (±0.4) refers the moderate correlation between two scale
variables. The value of correlation coefficient in the interval form (±0.4) to (±0.1) interprets a weak correlation. Finally, the
correlation coefficient in the interval (±0.1) to 0 refers that the two variables are uncorrelated to each other (Hall, 2015).
The correlation coefficient helps to find the direct one-to-one link between two variables. The table also displays the significance of
the correlation coefficients. The significances of the correlation coefficients are tested with respect to 5% level of significance. The
researcher can find whether the association is positive or negative. Also, it could be interpreted whether the link is one of the three
cases that are weak, medium and strong.
The calculated table showed that all the correlation coefficients lie in the interval of 0.4 to 0.7. Therefore, all the correlations are
positive and moderately strong in nature. Hence, one variable has moderate and positive effect on other variables.
For example, the variables “There exists high degree of scepticism about the implementation of the GB technologies” and “There
exists a lack of sufficient and productive databases regarding the adoption and implementation of GB technologies” have correlation
coefficient 0.614. It refers that these with the increment of one variable, the other variable also gets increased with moderate strength.
4.1.3. Factor Analysis:
Factor analysis is a technique that is used to decrease a large number of variables into lesser number of factors. This method
extracts maximum common variance (MCV) from all the variables and combine them into a common score. Actually, factor analysis
is a part of Generalised Linear Model (GLM). This method ignores multicollinearity and accepts correlation between variables. Factor
analysis is accomplished by principle component analysis and used for hypothesis testing.
To accomplish the factor analysis, the following assumptions are considered that are-
 Multiple variables are at continuous level.
 There exists linear relationship among the variables.
 The number of samples are adequate in nature.
 The data is suitable for data reduction.
 There does not exists significant outliers in the values of the variables.
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .890
Bartlett's Test of Sphericity
Approx. Chi-Square 212.847
df 21
Sig. .000
Table 9: Testing the sphericity of the variables

GREEN BUILDING POLICIES 18
Sphericity is a crucial assumption of factor and repeated-measure ANOVA analysis. It indicates the condition where the variances of
the differences between all possible pairs within-subject conditions are equal. Kaiser-Meyer-Olkin (KMO) and Bartlett’s test
calculated the sphericity of the data set.
The calculated value of Kaiser-Meyer-Olkin Measure of Sampling Adequacy is 0.89 that is near to 1. It reflects a good measurement
of the sampling variables.
Bartlett’s Test of Sphericity examines the null hypothesis that the correlation matrix is an identity matrix ( Garson, 2012). The
significant p-value of the null hypothesis is 0.0. It is less than 0.05. Hence, with 95% probability, it could be said that the null
hypothesis of sphericity of the variables are accepted.
Total Variance Explained
Component Initial Eigenvalues Extraction Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 4.387 62.666 62.666 4.387 62.666 62.666
2 .612 8.745 71.411
3 .543 7.750 79.161
4 .500 7.139 86.300
5 .404 5.765 92.065
6 .321 4.590 96.656
7 .234 3.344 100.000
Extraction Method: Principal Component Analysis.
Table 10: Principal Component Analysis in Extraction Method
The initial number of factors was 7 which was equal as the number of variables used in the factor analysis. Only one factor could be
retained in this factor analysis. Note that, eigen values are nothing but the variances of the factors executed with the help of principle
component analysis. The “Total” column contains the eigen values of the variables. The first factor always obtains most variance and
the preceding factor accounts as much of the left-over variance as it can be. Therefore, all the successive factor would account for
lesser variance. Here, the first factor obtains 62.66% variance of the cumulative variances of the all factors. The columns of extracted
sum of square loadings is lower than initial eigen-values due to the fact that common variance is always smaller than the total variance
(Comrey & Lee, 2013).
Figure 8: The Scree Plot of Factor Analysis
The scree plot measures the eigenvalue with respect to the component of factor number. Eigen values are capable of generating the
loadings of the factors in principal component method. The importance of any variable in the data set is measured as per the eigen
value. It displays that after first component, the following factors provide a flat trend. The successive factors are accounted for smaller
and smaller amounts of the total variance. The factor that has significant size of eigen value takes part in the variability of the data set
most significantly. The factors having small size of eigen values could be neglected to be considered as important factors of the data.
Component Matrixa
Component
1
There exists high degree of scepticism about the implementation of the GB technologies .850
There exists a lack of sufficient and productive databases regarding the adoption and
implementation of GB technologies
.827
There exists a lack of financial schemes and supports (like that of bank loans) in the
aspect of implementation of Green Building technologies
.816
High conflicts of interests among the different stakeholders in the industry stalls the
growth of the Green Building Technology in the contemporary construction scenarios
.777

GREEN BUILDING POLICIES 19
There exists higher economic costs and market prices in the aspects of adoption of
Green Building Technology as compared to the conventional technologies used in the
construction industry
.758
There exists lack of inadequate incentives on part of the government to promote and
encourage the implementation of Green Building technologies in the construction
industries
.758
Unwillingness to change or replace the conventional methods by new green building
techniques have been one of the primary reason behind its slow adaptation
.749
Extraction Method: Principal Component Analysis.
a. 1 components extracted.
Table 11: Factor or Component Matrix
The table includes the unrotated factor loadings that are the correlations between the variable and the factor. The components or the
factors are found to be highly correlated with each other.
4.1.4. Reliability of the variables of dataset:
Reliability Statistics
Cronbach's
Alpha
N of Items
.899 7
The value of Cronbach’s Alpha is found to be 0.899. Therefore, the data set having 7 variables are found to be highly reliable and
valid (Larsson, 2015). These establish the fact that the data set is authentic, practical and realistic.
Table 12: The value of reliability statistic
Item-Total Statistics
Scale Mean if Item
Deleted
Scale Variance if Item
Deleted
Corrected Item-Total
Correlation
Cronbach's Alpha if
Item Deleted
There exists higher economic costs and
market prices in the aspects of
adoption of Green Building
Technology as compared to the
conventional technologies used in the
construction industry
20.3167 23.779 .664 .889
There exists a lack of financial
schemes and supports (like that of bank
loans) in the aspect of implementation
of Green Building technologies
20.4000 22.753 .734 .881
Unwillingness to change or replace the
conventional methods by new green
building techniques have been one of
the primary reason behind its slow
adaptation
20.0667 23.792 .657 .890
There exists high degree of scepticism
about the implementation of the GB
technologies
20.2000 23.214 .782 .876
High conflicts of interests among the
different stakeholders in the industry
stalls the growth of the Green Building
Technology in the contemporary
construction scenarios
20.5167 22.525 .686 .887
There exists a lack of sufficient and
productive databases regarding the
adoption and implementation of GB
technologies
20.4000 22.719 .753 .879
There exists lack of inadequate
incentives on part of the government to
promote and encourage the
implementation of Green Building
technologies in the construction
industries
20.5000 23.746 .667 .888
Table 13: Validity levels of each variables of the data set
All the variables have the value of Cronbach’s Alpha in the range 0.8 to 0.9. Hence, no variables could be deleted from the dataset.

GREEN BUILDING POLICIES 20
4.2. Thematic Qualitative Analysis and its Findings:
Thematic analysis is a broadly used qualitative data analysis method or the cluster of methods that focus on detecting patterned
meaning across a data set. There are many ways of thematic analysis could be found for data analysis. These are inductive approach,
deductive approach, sematic way, constructionist approach, realistic or essentialist approach and latent way. In this thesis, the
researcher takes into account constructionist approach. It focuses on looking at how certain reality is generated by the data.
Financial facts:
All the people agreed to the fact that there is not enough funding for the green buildings. The probable reasons as per responders are
lack of support, lack of interest and lack of government funds. While finding the causes regarding financial behaviour, it was mostly
found that lack of required capital is the reason behind it. Besides the issues of debt crisis, low returns, implementation techniques,
political issues and lack of foreign information has come under the light of consideration. Only one responder incurred the financial
barrier.
Governmental facts:
Only but the last respondent answered that enough incentives are available from the government. Two of them mentioned about scope
and huge tax rate of government. The response about Green Building policies of the government are mixed. Five of them informed
that government has already taken proper policies in case of funding, trading and taxation that would improving the current status.
One responder told that although government has taken policies but the policies are not clear. Rest of the four responders said that
government did not take appropriate measures and policies. Therefore, the policies required to be improved especially in control of
pollution.
Technical facts:
Except Ninth responder, all the responders conveyed that people has lack of knowledge in the technical field to have green building
policies. They expressed their views on lack of knowledge of the builders, lack of resources in the market and the indifference to adopt
modern technology.
The whole scenario according to the qualitative analysis of the interviews refer that the scarcity of green building policies,
funding, support of government and technical knowledge to have green buildings are available. However, it is a fact of hope that
people are not completely against the green buildings perhaps because of its sustainability and nature friendly outlook. High economic
costs and lack of willingness to change are found to be present along with the lack of the presence of database about the same.
Significant lack has been found to be present in the technical and financial aspects and there are hopes for improvement in the hands
of the government of the countries in the aspect of development and greater implementation of Green Technologies.
5. Conclusion:
Green constructions are designed to impact the hygiene and natural behaviour. Green constructions are designed efficiently with
energy-efficient heating, cooling, lighting and water systems. These buildings include high-performance insulation, adequate
appliances and sustainable construction materials. The technology itself is allowing the new trend for controlling the pollution in the
environment. Concrete buildings consume more electricity than green buildings. This indicates that the investment in green buildings
might be a strategy implemented by Australian government and private organisations to adapt the rising prices or regulation in future.
Increase in standards and encourage in private development are essential for
 Cost effective hose energy efficiency financing
 financial incentives for commercial and residential construction
 green retrofit standards for existing municipal buildings
 higher quality of new construction and major renovation of municipal buildings
 amendment of multiple services for increasing demand for eco-friendly real estate
This thesis represents an overview of economics and policies through the evidences retrieved from quantitative and qualitative survey
concerning green building policies. Green building policies entirely influence the durability of buildings, designs and construction to
operation and destruction. In the report, the policy instruments and market failures are also discussed. With the brief review of global
green building programs, it could be interpreted that by describing challenges for the implementation of green building policies and
priorities for future research.
The trend of green building sustainability offered fertile ground for both research and new policies globally. Green building
economics and policies have generated numerous policies that has emerged to promote eco-friendly and sustainable buildings for
overcoming market failures associated to the buildings. These policies mostly depend on mandates. Governmental taxes and subsidies
have the capability to be cost-effective and comprehend the command-and-control approaches in the typical construction market to
build construction and operation. Proper designing of tax and subsidiary system characteristics build context-specific costs and
benefits related with building construction and operation. The policymakers of government or non-governmental organisations must
be aware to follow the consequences of encouraging environment friendly buildings rather than retrofitting the existing buildings.
The data analysis part highlights the conception of ground situation surveyed from a target population. The findings discovered that
higher economic cost and market price is one of the greatest obstacle to adopt green building technology as compared to conventional
construction technology. The other significant cause is the lack of financial schemes and supports from bank or other governmental
institutions. The unwillingness and indifference of people to replace the conventional buildings with other green buildings, high
degree of scepticism about the implementation of the GB technologies, high conflicts of interest among the various stakeholders of the
Green Building Technology in the contemporary construction scenarios and the lack of sufficient and productive databases regarding
the adoption and implementation of GB technologies are the other discovered reasons. It was also found that there exists the lack of
inadequate incentives on the governmental promotional part to implement green building technologies in the construction industries. It
intends an approach towards incomplete community sustainability for green building conception.
Some obstacles that found in evaluation of green building policies and programs are discovered in literature review and data analysis
segment. The drastic amount of heterogeneity of individual green-certified buildings has made it critical to evaluate the non-market
and market facilities of green constructions. This makes it problematic to compare “greenness” across buildings. Many formal
measures and policies make it mandatory only for the buildings to build the certification standards. It could be inferred that as per the
discussion of the challenges of implementing policies and seeking to understand the issues regarding green buildings, some priorities
for future research and policies are to be undertaken.

GREEN BUILDING POLICIES 21
6. Recommendation:
Firstly, the flexibility inherent in green building programs and recommendations results in a scarcity of consensus on the follow ups to
be measured. Many factors directly or indirectly put the impact on policy recommendation based up on resource efficiency,
productivity of the employees & workers, development density and stable financial performance on construction. The impact of green
building policies approaches to the sustainable eco-level and corporate social responsibility. The policies of green construction might
be affected by the scarcity of systematic evidence in case of green building enhancement cost. As a result of benefits of the
improvements and varieties of adopted green building practices, the overall green building practices are penetrated.
The environment protection agencies and governmental associates should have a clean planning to provide an opportunity for cleaning
the negative externalities. The green building policies focuses to information asymmetry and split incentives. Other kinds of policy
and technological changes may facilitate or inhibit green buildings. The investment of Australian government and other foreign
governments may enhance or inhibit the mind sets towards green building. The investments in dynamic water supply system, smart-
grid technology and real-time electricity permit the policymakers to reconstruct the potential towards building operation. Green
buildings may be clustered alongside the overall clustering of new constructions indicating high-performance constructions or
sustainable preferences. Environmental policies and policy preferences are linked with the help of urban growth patterns for green
consumers, investors, stakeholders or donors.
More of it, policy reformers may change price levels as well as volatility. This certifies the construction of green buildings for
evolving over time. Green builders facilitate the demand-side management for encouraging the more sustainable and responsive
buildings. In this context, the government should grant “Green Action Plan” and implement the green building ordinances in green-
city building movement. Government should approach to build the green constructions with the help of local green building
organisations for growing the green building practice of the country. It would reduce the energy usage and create suitability of climate
protection policies. Through energy rating and disclosure as well as building codes in smart financing, the advanced greening in the
Australian cities could be accomplished.
An eco-friendly and energy-saving program should be built for the environmental conservation. Therefore, consciousness among
people and builders is necessary. The early actions of Australian government can involve non-financial incentives to improve green
building. As a result, all citizens of Australia would have an access to healthier and more efficient places to live and work.

GREEN BUILDING POLICIES 22
7. References
Auberlet, J. M., Bhaskar, A., Ciuffo, B., Farah, H., Hoogendoorn, R., & Leonhardt, A. (2014). Data collection techniques. In Traffic
Simulation and Data: Validation Methods and Applications (pp. 5-32). CRC Press (Taylor & Francis Group).
Basto, M., & Pereira, J. M. (2012). An SPSS R-menu for ordinal factor analysis. Journal of statistical software, 46(4), 1-29.
Braun, T., Cajias, M., & Hohenstatt, R. (2017). Societal Influence on Diffusion of Green Buildings: A Count Regression
Approach. Journal of Real Estate Research, 39(1), 1-37.
Chan, A. P., Darko, A., Ameyaw, E. E., & Owusu-Manu, D. (2017). Barriers Affecting the Adoption of Green Building Technologies.
Journal of Management in Engineering, 33(3), 04016057. doi:10.1061/(asce)me.1943-5479.0000507.
Ciora, C., Maier, G. & Anghel, I. (2016). Is the higher value of green buildings reflected in current valuation practices? Journal of
Accounting and Management Information Systems, Vol. 15 No. 1, pp. 58-71.
Comrey, A. L., & Lee, H. B. (2013). A first course in factor analysis. Psychology Press.
Cooper, P., Liu, X., Kosasih, P. & Yan, R. (2011). Modelling net zero energy options for a sustainable building research centre. 12th
Conference of International Building Performance Simulation Association, Building Simulation 2011 Conference (pp. 2799-
2806).
Eichholtz, P., Kok, N., & Quigley, J. M. (2013). The economics of green building. Review of Economics and Statistics, 95(1), 50-63.
Field, A. (2013). Discovering statistics using IBM SPSS statistics. sage.
Garson, G. D. (2012). Testing statistical assumptions. Asheboro, NC: Statistical Associates Publishing.
Hall, G. (2015). Pearson’s correlation coefficient. other words, 1(9).
Hewson, C., & Stewart, D. W. (2016). Internet research methods. John Wiley & Sons, Ltd.
Hughes, J. A., & Sharrock, W. W. (2016). The philosophy of social research. Routledge.
Hwang, B., Zhu, L., Wang, Y., & Cheong, X. (2017). Green Building Construction Projects in Singapore: Cost Premiums and Cost
Performance. Project Management Journal, 48(4), 67-79. Retrieved from
Joachim, O. I., Kamarudin, N., Aliagha, G. U., Hakim Mohammed, M. A., & Ali, H. M. (2017). Green and Sustainable Commercial
Property Supply in Malaysia And Nigeria. Geographical Review, 107(3), 496-515. Retrieved from
Kibert, C. J. (2016). Sustainable construction: green building design and delivery. John Wiley & Sons.
Koski, C., & Lee, T. (2014). Policy by Doing: Formulation and Adoption of Policy through Government Leadership. Policy Studies
Journal, 42(1), 30-54. Retrieved from
LARSSON, O. (2015). Reliability analysis. LUND University.
Love, P. D., Niedzweicki, M., Bullen, P. A., & Edwards, D. J. (2012). Achieving the Green Building Council of Australia's World
Leadership Rating in an Office Building in Perth. Journal of Construction Engineering & Management, 138(5), 652-660.
doi:10.1061/(ASCE)CO.1943-7862.0000461
Mallinson, C., Childs, B., & Van, H. G. (2017). Data Collection in Sociolinguistics: Methods and Applications, Second Edition.
Milton: Taylor and Francis.
McAuley, T. (2008). Understanding Green Building Cost and Value. AACE International Transactions, 1-43. Retrieved from
Mertens, D. M. (2014). Research and evaluation in education and psychology: Integrating diversity with quantitative, qualitative, and
mixed methods. Sage publications.
Meyers, L. S., Gamst, G., & Guarino, A. J. (2016). Applied multivariate research: Design and interpretation. Sage publications.
Miller, N., Spivey, J., & Florance, A. (2008). Does Green Pay Off? Journal of Real Estate Portfolio Management, 14(4), 385-399.
Retrieved from
Nath, V., Kumar, R., Agrawal, R., Gautam, A., & Sharma, V. (2014). Impediments to Adoption of Green Products: An ISM
Analysis. Journal of Promotion Management, 20(5), 501-520. doi:10.1080/10496491.2014.946200
Nix, I., & Hall, M. (2016). Collecting Questionnaire and Interview Data: Evaluating Approaches to Developing Digital Literacy
Skills. doi:10.4135/978144627305015595384
Olsen, W. K., & SAGE. (2012). Data collection: Key Debates and Methods in Social Research. London: SAGE Publications.
Received from
Resnik, D. B. (2015, December). What is ethics in research & why is it important. In ideas.
Shea, C., Roberts, M., Johnson, E. P., & Hadlock, W. (2013). Matching Data Collection Method to Purpose: In the Moment Data
Collection with Mobile Devices for Occasioned Based Analysis. Survey Practice, 6(1), 1-7. doi:10.29115/sp-2013-0003
Tam, V. W., Khoa, N., Cuong, N., Tran, X. W. & Wang, J. (2017). A Review of International Green Building Designs. International
Journal of Construction Project Management. 9 (1), 144-189.
Visscher, H., Laubscher, J., & Chan, E. (2016). Building governance and climate change: roles for regulation and related
polices. Building Research & Information, 44(5/6), 461-467. doi:10.1080/09613218.2016.1182786
Yong, A. G., & Pearce, S. (2013). A beginner’s guide to factor analysis: Focusing on exploratory factor analysis. Tutorials in
quantitative methods for psychology, 9(2), 79-94.
Zuo, J., & Zhao, Z. Y. (2014). Green building research–current status and future agenda: A review. Renewable and sustainable energy
reviews, 30, 271-281.

GREEN BUILDING POLICIES 23
8. Appendix:
8.1. Survey questionnaires for quantitative study:
1) There exists higher economic costs and market prices in the aspects of adoption of Green Building Technology as compared to the
conventional technologies used in the construction industry
2) There exists a lack of financial schemes and supports (like that of bank loans) in the aspect of implementation of Green Building
technologies
3) Unwillingness to change or replace the conventional methods by new green building techniques have been one of the primary
reason behind its slow adaptation
4) There exists high degree of scepticism about the implementation of the GB technologies
5) High conflicts of interests among the different stakeholders in the industry stalls the growth of the Green Building Technology in
the contemporary construction scenarios
6) There exists a lack of sufficient and productive databases regarding the adoption and implementation of GB technologies
7) There exists lack of inadequate incentives on part of the government to promote and encourage the implementation of Green
Building technologies in the construction industries
Responses measured
Strongly disagree Disagree Neither agree or disagree Agree Strongly agree
1 2 3 4 5
8.2. Survey questionnaires for qualitative study:
1) Is there Enough funding for Green Buildings?
2) What are the financial barriers towards adoption of Green Buildings?
3) Are there enough incentives available from the Government?
4) What is your views of the Green Buildings Policies?
5) Were enough people with technical knowledge available?