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Research on green certificate rankings in the MENA region primarily focuses on building scale, relying on the certified project count. This assessment approach overlooks the spatial factor, failing to capture their influence on the urban built environment, thus potentially undermining other efforts not reflected by the project count. This research aims to rank countries in the Middle East and Northern Africa (MENA) region based on their ongoing efforts regarding green neighbourhood certification.

This study employs a three-phase methodology to rank MENA countries' adoption of green neighbourhood certification systems: content analysis, multicriteria analysis (MCA) using the analytical hierarchy process (AHP) and spatial analysis.

Based on the content analysis, four major performance indicators were identified and the conventional ranking using projects count was presented. Using AHP, the MCA could rank the countries in the region according to their unique performance indicators score, clarifying the differences between conventional and AHP-based rankings. Finally, the spatial analysis phase uncovers shortcomings in the traditional ranking method, revealing inaccuracies and misrepresentations for several countries.

The study presents an innovative ranking methodology to monitor the green neighbourhood actions of countries in future development and establish a pioneering framework to evaluate the impact of green certifications within the region.

Increasing pressure from government and consumer to be environmentally conscious has led firms to focus their attention on the assessment and controlling the adverse impacts their operations have on the environment. The current study focuses on identifying the factors and their relative importance in the implementation of Green Supply Chain Management (GSCM) process.

The factors influencing the GSCM are ranked from most important to least important using a novel method of ranking relying on rough sets theory. Opinions on the importance of the factors are gathered from the experts from industrial, environmental, and societal domains.

Involvement of government in promoting the importance of green practices in organizations and societal insistence of being environmentally conscious are the factors that demonstrated maximum potential in establishing a strong GSCM framework.

This study aids the management to discover important factors for the establishment of a strong GSCM framework. This encourages the management to follow and apply green practices in operations. Also, it sheds light on the current situation of environmental awareness in the Indian construction industries.

This paper adds to the existing literature on identification and ordering of factors for GSCM by introducing a novel method of ranking based on Rough set approach. The method includes the preference information of the decision makers to yield the final ranking of the factors.

The purpose of this paper is to study the relationships among environmental performance (EP), environmental disclosure (ED), and financial performance (FP) (three corporate constructs) using data from Newsweek’s green rankings.

Previous studies document mixed results about the relations among the three constructs. A firm’s overall management strategy may affect the three constructs simultaneously; therefore, the interrelationships among EP, ED, and FP were jointly examined. A simultaneous equations approach was used to test the hypothesis.

The three-stage least square (3SLS) estimation results show a negative relationship between EP and FP and a positive relationship between EP and ED, suggesting that financially successful firms are less likely good environmental performers but green firms are more likely to disclose their EP.

Since the sample firms examined in this study are US large-size companies, the results found in this paper may not apply to small- and/or medium-size firms or to companies in other countries.

Three corporate constructs are jointly correlated with each one. A firm’s overall strategic plan on environmental engagement is likely reflected in how it engages in each of the constructs that affect costs and benefits. Sustainable efforts, in short term, may put firms at risk. Companies may need to take a long-term perspective when cutting costs is curtailed.

The research contributes to the ED and EP literature by using a 3SLS simultaneous equation method and analyzing a more recent and comprehensive multi-industry data. By controlling industry effect, the research investigates the interrelationships among three corporate constructs and finds interesting results. An interpretation and discussion are provided.

This study aims to evaluate and rank green airlines by proposing a novel approach that integrates different multi-criteria decision-making (MCDM) techniques.

Three MCDM techniques were adopted: Decision-Making Trial and Evaluation Laboratory (DEMATEL) addressed the impact relationships between Airline Green Operations (AGOs) and classified them into cause and effect; analytical hierarchy process (AHP) prioritized these actions and found their global and local weights; and Techniques to Order Preferences by Similarity to Ideal Solution (TOPSIS) used the weighted actions to evaluate and rank 20 green airlines as a case study.

DEMATEL outcomes provide the first AGOs impact relationships map (IRM), classify AGOs into cause and effect actions and provide better understanding how these green operations affect each other. According to the AHP outcomes, “GHG1and fuel” and “GHG2 and Energy” were the most important set of actions, respectively. Finally, a new evaluation and ranking for 20 green airlines has been presented.

The AGOs IRM provides a better understanding of the airline green operations and how they affect each other. The new evaluation and ranking technique helps airlines to identify their green strength and weakness areas and supports their sustainability processes.

The increasing importance of AGOs evaluation and analysis highlights the importance of green airlines studies like this one. This study analyzed AGOs, their impact relationships, developed their IRM and provided a new worldwide green airline benchmarking base.

The purpose of this paper is to explore the source of apparent abnormal returns accrued by “green” company stocks. Though one cannot completely rule out that market-to-book and size factors may already capture the information of Trucosts’ total damage measure, the authors attempt to attribute the effect to risk, a persistent desirable characteristic or a short-run attention effect.

The authors construct portfolios of stocks using the Trucost data for identifying more environmentally friendly companies. The authors then compare the risk-adjusted returns of the green portfolios to the non-green portfolios. A secondary analysis of the price impact of being listed on the Newsweek green company listed is used to determine attention effects.

The authors find that green stock returns outperform the most polluting stocks by 3.7 percent per year on a risk-adjusted basis. The evidence is most consistent with a significant but economically small attention effect coupled with a longer lasting and greater magnitude desirable characteristic driving green returns. The authors do not find evidence of a risk-contribution to the performance after controlling for well-known factors.

Fund managers may benefit from this research in selecting green stocks, and thereby enhancing investment performance, with desirable characteristics without fear of increasing risk.

One social implication is that investing in sustainable and green firms may not only be beneficial for the common good but also for the investor. Increased capital flows, and hence lower borrowing costs, for green firms may assist in creating a more ecologically sustainable economy.

To the authors’ knowledge this paper unique in attempting to determine if the green premium is a short-run inefficiency resolved by attention or a result of a desirable characteristic.

China Pakistan Economic Corridor (CPEC) projects are widely spread throughout Pakistan with the potential to have a massive impact on Pakistan’s economic future. CPEC projects have, therefore, made it imperative that green practices are adapted to provide sustainability to the CPEC projects. The adoption of green supply chain management (GSCM) framework will significantly increase the value attained from CPEC projects through the increased benefits to the socio-cultural and economic conditions of Pakistan without causing harm to the environment. The purpose of this paper is to identify and rank the GSCM practices for implementation in the construction industry of Pakistan according to expert opinion.

This study targets the experts who are employed as supply chain managers in the different construction industries of Pakistan. The opinions of these experts have been extracted through an online questionnaire that was based on six alternatives along with four criteria. The tool of multi-criteria decision making (MCDM) that is a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) has been used to analyze the results.

Six alternatives that have been used for this study are green design, green procurement, green production, green warehousing, green transportation and green recycling. The top-ranked alternative as a practice for GSCM is green warehousing followed by green production. The lowest ranked alternative in this study is green recycling. The alternatives have been ranked on the basis of “cc” values derived through TOPSIS.

As the advancement in the construction industry will definitely going to impact the environmental sustainability of the country, the results derived through this research will assist the managers of the construction industry of Pakistan to adopt best practices among green supply chain in order to lower their impact.

Framework using TOPSIS in order to find the best GSCM practice in Pakistan has not been reported before this study.

Current literature presents limited measurement methods of quantifying manufacturers' performance with environmental concerns. The purpose of this paper is to construct a company performance index for benchmarking motor vehicle manufacturers (MVMs) with environmental concerns.

Methods of constructing the index include regression analysis, a modified linear method for normalizing variables and a geometric mean for aggregating variables into a single index I_MVM (index for MVMs). A case study is conducted in 12 MVMs from 2008 to 2017. A sensitivity analysis with the simple additive weighting method is performed to analyze how different aggregation methods affect the final value. The index I_MVM is assessed through a benchmark with three existing indices.

Three realistic considerations are identified from MVMs, based on which proper and transparent methods are chosen to construct the I_MVM. The construction of the index I_MVM has been assessed through a benchmark against the methodologies of three other indices. The results indicate that the new measurement is feasible and effective for MVMs to measure their company performance from an environmental perspective.

The construction of the index I_MVM can support policymakers with accurate statistics for decision-making. As a response to current imperative climate policies, this paper raises awareness of CO₂ emissions in vehicles' production. For statistical organizations and stakeholders in the investment world, this paper provides available and reliable statistics for trend analysis of different MVMs.

A new method is designed for constructing a company performance index for MVMs. Three environmental variables are identified based on literature, their environmental impact as well as their data availability from public documents. A ranking by manufacturer with environmental concerns is generated. This index can contribute with available statistics and useful insights toward decision-making.

This study aims to investigate the carbon emission disclosures (CED) and performance of UK higher educational institutions (HEIs) and the associated impact on their environmental reputation. The paper argues that HEIs possess distinct characteristics that make comparisons with profit-oriented companies problematic and misleading.

The green score published by the People and Planet organisation provided the population for this analysis. All universities with a 2012 score were entered into the initial sample. The association between green reputation, CED and carbon performance was examined using a robust least squared regression model. The green score published in 2019 was then compared with this to confirm whether the findings still held.

CED, carbon emissions and carbon audit were found to have highly significant determinant relationships with HEIs’ green reputation status at a 1% significance level.

The impact of CED and carbon performance indicators needs to have a clear relationship with reputation to motivate HEIs to act and disclose.

The study is distinct in investigating the impact of CED and carbon performance by UK HEIs on their environmental reputation. The study shows whether, and how, the HEI CED and carbon performances contribute towards their environmental reputation. HEIs have distinct characteristics from profit-seeking organisations and thus tailored research is required.

This case highlights the journey of the Capital University of Science and Technology (CUST) to adhere to the green organization initiatives. In 2016, the government of Pakistan announced its adherence to the United Nations (UN) sustainable development goals (SDGs) 2030 and asked the regulatory bodies to improvize accordingly. Following this announcement, the Higher Education Commission (HEC), the main regulatory body in Pakistan, instructed all universities to fulfill their responsibility toward environment and align themselves with UN-SDGs 2030. As a response to this call, in 2017, CUST decided to shift toward sustainability by making changes in its policies and strategic planning. The emphasis was vital to attract Gen Z, gain international recognition, and align with the Pakistan regulatory body of (HEC). In doing so, the management decided that the campus should go green. The installation of solar panels on campus was one such green initiative through which the university was able to produce 3,650 units per day. After a long and decisive struggle, the university has achieved eighth position in Universitas Indonesia-GreenMetric World Ranking 2020 and making the regulatory authority happier.

To outsource part of their work, organizations are looking for suppliers who also have green criteria with other criteria. Selecting suppliers begins with the definition of potential suppliers and then selects the best among them. This study aims to present a two-part approach for selecting suppliers consisting of suppliers’ prioritization.

In the first part, the criteria that influence on selecting the suppliers have been identified and extracted using the literature review and experts’ opinion which consists of 19 criteria. Then, these criteria were evaluated by the content validity ratio index and using experts’ opinions, and finally, 16 criteria were selected for selecting green suppliers in a polyethylene’s products producer company in Iran. In the next step, suppliers are selected in a green supply chain using multi-criteria decision-making methods such as Dempster–Shafer theory and grey relationship analysis, which is a strategic decision.

This study attempts to improve the level of reliance on the whole uncertain degree by combining Dempster–Shafer theory and grey relational analysis (GRA), which makes the grey analysis method more robust and its results more reliable. The findings show that Supplier 4 is ranked as first within six suppliers.

Using GRA and Dempster–Shafer theory for green supplier selection problem in polyethylene industry is the novelty of this work.