Environmental Performance Indicators Research Articles

The relationship between the rule of law and environmental sustainability: empirical evidence from the analysis of global indices

ABSTRACT The rule of law has been found central in promoting environmental sustainability. While existing literature has examined certain aspects of the rule of law and environmental sustainability in analyzing their association, there remains a gap in our understanding of the intricate linkages between these two concepts. Specifically, there is a lack of a holistic approach to exploring the relationship between the rule of law and environmental sustainability. To address this gap, this study aims to conduct a thorough examination of the relationship between the rule of law and environmental sustainability. Our study, based on the rule of law index (ROLI) and the environmental performance index (EPI), reveals that environmental performance is closely associated with the rule of law. Environmental performance is particularly related to certain dimensions of the rule of law, such as ‘constraints on government powers’, ‘open government’, ‘fundamental rights’, and ‘criminal justice’. However, it should be noted that regional variations exist. For instance, the ROLI and the EPI are not clearly associated in the least-developed countries. Overall, results show that the rule of law plays an important role in enhancing environmental performance across developing and developed countries. Our study suggests considering the importance of community engagement and an effective, impartial, and independent justice system to improve environmental performance.

Evaluation of the environmental sustainability performance of Eastern European countries with integrated MCDM methods

Especially in recent years, the environmental problems of countries have been increasing due to the acceleration of industrialization, increasing population, continuous increase in the consumption and energy requirements of the society and the development of technology. In order to eliminate these problems, countries take many measures and precautions. This study aims to compare Eastern European countries by evaluating their positions in the environmental sustainability performance index (EPI). For this purpose, the importance levels of the criteria were found with ENTROPY, which is in the objective category of multi-criteria decision making (MCDM) methods, and then the ranking of the countries in the environmental sustainability performance index was determined with Complex Proportional Assessmnet (COPRAS) and Weighted Aggregated Sum Product Assessment (WASPAS) methods. The data used in the evaluation of the environmental sustainability performance index “The 2022 Environmental Performance Index (EPI)” ranking of Eastern European countries is the data prepared by Yale University and obtained from the relevant web address. According to the results obtained, the ranking of the criteria in terms of their importance levels were ranked as water resources, waste management and agriculture, and the rankings obtained according to COPRAS and WASPAS methods differed in the environmental sustainability performance ranking of the countries, and it was determined that the WASPAS method gave more consistent results.

Green I.T and Datacenter: a Study of Environmental Management Indicators

Objective: Identify the environmental indicators from the ABNT ISO NBR 14031 standard applicable to data centers to improve energy efficiency and environmental management. Theoretical Framework: The study addresses concepts of Green IT, practices for data center efficiency, and the indicators from the ABNT NBR ISO 14031 standard, including environmental, managerial, operational, and condition performance indicators. Method: Bibliometric research to support the theme, through searches on the Scopus and IEEE platforms, with content analysis of the main references, including the NBR ISO 14031 standards. Results and Discussion: Operational indicators from the NBR ISO 14031 standard were identified and adapted for data centers, such as the quantity of reused materials, energy used and saved, and specific emissions. The practical application of these indicators was detailed. Research Implications: The research contributes to the application of Green IT practices and energy efficiency in data centers, providing a basis for the adoption of environmental management indicators. Originality/Value: Although there are various individual studies related to Green IT or data centers, there are few studies relating these themes together. Thus, this study fills this gap by promoting an integrated approach to Green IT and environmental management, and providing support for data center managers towards Green IT.

Review of the Environmental Performance Index (EPI): Methods, Constraints and Recommendations

Review of the Environmental Performance Index (EPI): Methods, Constraints and Recommendations

Assessing the Spatiotemporal Dynamics of Environmental Sustainability in China

Environmental sustainability is crucial to the Sustainable Development Goals (SDGs). We can gain an overview of a region’s or country’s dynamics by quantifying and analyzing its patterns over time and space. It can then be used to develop more sustainable policies. This study created a database of indices covering China’s environment, economy, and resource domains. Using an improved Environmental Sustainability Index (ESI) approach, we assessed sustainability and its spatiotemporal dynamics in 31 Chinese provinces between 2000 and 2017. Our findings suggest that provinces with high levels of socioeconomic development tend to have higher environmental scores, especially after experiencing severe environmental issues. Some underdeveloped provinces achieved high scores due to their relatively low environmental pressure and high resource efficiency. However, most underdeveloped provinces had high environmental pressure and low resource efficiency, leading to low environmental sustainability. We also discovered that sustainability scores improved between 2000 and 2017, mainly due to socioeconomic advancements. Yet, some environmental issues, such as air pollution, worsened during the latter part. Therefore, we confirmed an inverted U-curve relationship between environmental, resource, and socioeconomic components. Clustering analysis based on provincial economic and demographic characteristics also revealed different chronological patterns of environmental scores across the clusters. Additionally, we detected the transfer of pollution from developed to less-developed regions during the early 2000s.

Comparative analysis of environmental sustainability indicators: Insights from Japan, Bangladesh, and Thailand

This study analyses environmental sustainability indicators (ESIs) and explores their governance challenges in developing countries (Bangladesh and Thailand) and advances possible remedies in light of the practices of a developed country (Japan). A comparative analysis of countries' performance based on the ESIs could help identify useful practices from countries with high ESI to improve the poor ESI countries. While it is broadly understood that renewable energy and effective governance support environmental sustainability, our findings extend this knowledge by detailing how these factors interact specifically within the contexts of developed and developing nations. The analysis delineates the complex relationship between GDP growth, fossil fuel reliance, and sustainability efforts, offering a detailed examination of the variance in ESI performance across these countries. Beyond established notions, this study empirically validates the relationships between environmental sustainability (ES) and its influencing factors, providing a country-specific analysis that emphasizes the differential impact of renewable energy adoption, governance quality, and economic policies on environmental sustainability in Japan, Bangladesh, and Thailand. The results also revealed that Bangladesh's performance in terms of majority ESIs ranges from bad to worse, while Japan exhibits good performance in all its ESI indicators except for emissions. Thailand's ESI performance indicates its vulnerability to climate disasters and slow growth of renewable energy. The ESI measures of Thailand have shown its susceptibility to climate-related calamities and a slowdown in the rate of renewable energy implementation. A noticeable discrepancy in the execution of regulatory frameworks was noted between developing countries, such as Bangladesh, and industrialized ones, such as Japan. The outstanding results of Japan's ESI may be credited to the successful practices of its citizens and their strong devotion to the rule of law.

Economic growth and Environmental Sustainability in Selected African countries: A panel investigation

This study examined the effect of economic growth on environmental sustainability among selected African countries. To achieve the objectives of this study economic growth was analysed alongside some control variables - foreign direct investment, credit to the private sector, population growth rate and trade openness to determine their impact on environmental performance index (proxy for environmental sustainability) in the six selected African countries namely: Angola, Algeria, Egypt Ghana, Libya, and Nigeria over the period 1990-2022 using panel analysis. Based on the analysis of the data trend analysis and econometric analysis of panel fixed effect regression econometric technique, some key empirical findings were made. Egypt had the highest environmental performance index (EPI), Direct relationship between the real GDP and environmental performance index (EPI) was visualised in Algeria, Egypt and Libya. Economic growth had a positive and significant impact on the environmental performance index. That FDI and trade openness had positive but marginal effect on environmental performance index while credit to the private sector and population growth rate had negative impact on environmental performance index in the selected countries. Based on the findings, the study recommended increase investment in the real sector and the increase in emission tax in order to sustain the environment in Africa.

Exploring dietary patterns and their association with environmental sustainability and body mass index in children and adolescents: Insights from the National Food, Nutrition and Physical Activity Survey 2015–2016

ObjectiveTo adapt four dietary patterns for children and adolescents, and study their associations with sustainability (greenhouse-gas emissions-GHGE and land use-LU), and health (body mass index-BMI) indicators. Research methods & proceduresDietary intake of children (3-9y) and adolescents (10-17y) from the National Food, Nutrition and Physical Activity Survey 2015–2016, Portugal (n = 1153) was assessed through two non-consecutive interviews: one-day food diaries (children), and 24-h recalls (adolescents), using an automated multiple-pass method, including a picture book for portion sizes estimation. Adherence to the Eat-Lancet and World Health Organization (WHO) recommendations, Mediterranean and Atlantic diets were evaluated using adapted versions for pediatrics of the World Index for Sustainability and Health (WISH), Diet Quality Index (DQI), Mediterranean Diet Score (MDS) and Southern-European Atlantic Diet (SEAD), respectively. Diet-related GHGE and LU were estimated using the SHARP-Indicators database. BMI (measured) z-scores were classified according to WHO criteria. A standardized weighted health-sustainability composite index was created (BMI + 0.5*GHGE+0.5*LU). Adjusted linear regression models were computed. ResultsWISH, DQI, MDS, and SEAD had weighted mean scores (range) of 50 (0−130), 24 (9–36), 20 (8–32), and 17 (8–32), respectively. All dietary patterns were associated with lower environmental impact, particularly in children, but not with BMI. Only MDS explained both health and sustainability indicators in childhood (composite index: sd.β = −0·223,95%CI:-0·347,-0·072,R2 = 25.1 %), and adolescence (composite index: sd.β = −0·159,95%CI:-0·315,-0·003,R2 = 31.3 %). ConclusionThe Mediterranean diet was the most related to (higher) environmental sustainability and (lower) BMI. However, in children (not adolescents), the WISH, DQI, and SEAD showed then same associations.

Effectiveness and sustainability of solutions sets aimed at plus energy buildings. A multi-case and multi-domain investigation

PurposePlus Energy Buildings (PEBs) are gaining attention in construction for providing advantages not only on the singular building but also on higher levels, namely neighbourhoods and national grids. Different from the current standard of net zero energy buildings, PEBs lack broader and holistic investigations that consider energy, environmental, and economic performance indicators. These are needed to evaluate their often-debated effectiveness and environmental sustainability. To this purpose, this work assesses technical equipment functional systems aimed at PEBs by considering energy, environmental and cost performance indicators and by carrying out a multi-case and multi-domain investigation. MethodA parametric modelling is carried out based on building energy simulations and user energy profile modelling in 16 case studies. Relevant Key Performance Indicators are derived and followed to attempt result clustering and to derive general considerations for the designed solution. FindingThe study showed that the effectiveness of such systems is limited if PV modules are located on the roof exclusively. Moreover, heat pumps and PV technologies need to be better coupled and harmonised in subarctic regions. Overall, centralised systems perform better, and environmental and economic advantages depend on the national energy and economic context. Such results can be considered valid under the same conditions and circumstances; therefore, an extension of case studies is needed.

Proposal of an environmental performance index to assess leather-manufacturing companies

Despite the global economic and environmental importance of the leather industry, the specialized literature still presents an important gap in analyzing the environmental performance of the leather manufacturing process from the waste generated. This paper aims to propose an unprecedented index (Index of Leather Manufacturing- ILM) to evaluate the environmental performance of leather manufacturing processes. The development of the index combines Life Cycle Assessment (LCA) and a Multicriteria Decision Method (MCDM) and is oriented to consider the impact of waste on environmental health. Its estimate is based on: the calculation of the environmental potential impact of the waste; the waste quantity produced by the company over a given period; the relative geographic coverage that each waste can achieve; the assessment of the appropriateness of the disposal of waste generated by the firm. The proposed index was tested on a large Brazilian leather manufacturer. The results showed that the waste management in the company is not perfect but is well rated, and residues with the greatest environmental impact are: wetblue shavings, wetblue sawdust, and gaseous emissions from beam house operation.

Socio-Economic Modelers of Environmental Performance: Empirical Evidence from the European Union

Abstract The environment represents one of the main collective responsibilities of the current period, marked by accelerated economic development. In the context of increasingly pronounced ecological deterioration and less sustainable practices, the level of involvement of decision-makers and the population has become a great challenge. Beyond legislative mechanisms, which can help states improve their environmental performance, an important role is also played by knowing the direct and indirect factors that can act on this performance. The specialized literature approaches environmental performance from various angles, most studies being focused on analysis tools and how to measure it, and less on the factors that can shape it at the national level. In this context, our approach takes into account the synergies between the environmental performance at the level of the European Union member states (measured by the Environmental Performance Index - EPI) and the selected economic-social factors. The selected sample includes the 27 member states of the European Union, the analysis being carried out for the period 2006-2022. The research methodology is based on Bayesian network analysis through Gaussian graphical models. The obtained results show that environmental performance is closely related to economic and social factors, through positive or negative connections, the relationship being bidirectional. Our approach is thus intended to be useful in providing a series of information to support decision-makers both in the implementation of environmental policy at the European level and in the adjustment of some national regulations.

Environmental sustainability and tourism growth: convergence or compensation?

AbstractIn addition to the socio-economic advantages, tourism has been proven to be one of the most important sectors with adverse environmental effects. Therefore, this study examines the relationship between tourism and environmental sustainability by using a panel data from 32 countries in Latin America and the European Union for the period 2000–2019. Several techniques of cointegration and convergence of clusters are used to meet this objective. The empirical results show that on average, tourism growth has a negative impact on the environment in the two groups of countries, which could be attributed to the heterogeneity of the level of regional tourism development. On the other hand, the convergence of tourism growth and environmental sustainability is evident at different adjustment speeds in the different sample panels. It generates empirical evidence on whether the current expansion of the tourism sector in Latin American and European countries entails significant environmental externalities by using the ecological footprint variable as an indicator of environmental sustainability and foreign tourist arrivals as an economic indicator.

Assessing and Clustering Countries Based on COVID-19 and Related Indicators: Clustering and MULTIMOORA Approaches

The COVID-19 pandemic has been one of humanity's most difficult times. The pandemic spread and impact were not at the same level for all countries. Investigation of the variation of the countries is crucial for policymakers. Therefore, the study proposed to cluster countries according to the number of COVID-19 cases, deaths, vaccinations and related socioeconomic, disease, and health risk factors and rank them by using MULTIMOORA (MOORA plus the full multiplicative form) in an integrated way. The data set consists of 148 countries and 13 indicators. K-Means algorithm was used to cluster countries. Optimal cluster was found as six according to Silhouette Index. The cluster consisted of mostly developed countries ranked as best perform cluster. It had the highest number of COVID-19 vaccinations, GDP per capita, share health expenditure in GDP, life expectancy, elderly population portion, and environmental performance index values, and the least mortality of chronic diseases. Moreover, Norway, Iceland, and Denmark were the best-performing countries in this cluster. In addition to this, Turkey was located in the second-ranked cluster. It was also determined that COVID-19 indicators (cases, deaths, and vaccinations) were related to GDP per capita, environmental index, and life expectancy. As a result, policymakers can develop pandemic policies for country groups separately, and assistance can be provided in this regard according to the priority order of the countries.

Bangladesh towards green growth: a review of environmental sustainability indicators

Pursuing green growth is crucial for Bangladesh to transition from an unsustainable economic trajectory to a more sustainable and inclusive one. Bangladesh is picked for this study because of impending and severe economic and environmental threats. This study intends to review the present scenario of various environmental sustainability-related indicators in Bangladesh, focusing on renewable energy consumption, freshwater resources, water productivity, CO2 emissions, energy intensity, air pollution, and natural resource rents. The World Bank database has been utilized to obtain secondary time series data of Bangladesh spanning from 2000 to 2020. As a descriptive study, cross-sectional and observational research methods as well as descriptive statistics and figures are used to elucidate the secondary data. Data demonstrate that Bangladesh now generates 41.16% of its energy from renewables, despite considerable variability. Regardless of the variation in freshwater availability, averaging at 708.19 cubic meters per capita, efficient water productivity remains consistent, indicating a robust water management system. The country demonstrates a relatively low carbon footprint, emitting 0.35 metric tons of CO2 per capita, alongside varying energy intensity levels, highlighting the need for enhanced efficiency measures. While pervasive PM2.5 air pollution poses a significant health risk, Bangladesh's reliance on natural resource rents underscores the importance of sustainable resource management practices for long-term economic stability. The observations of this study might assist in the formulation of policies of water management systems, air pollution control initiatives, and conservation of ecology to promote Bangladesh's long-term sustainability objectives and formulate policies.

Analysis of the relationship between carbon pricing and green innovation: A multidimensional study in 35 countries

Increased greenhouse gas emissions are the main cause of global warming, leading to effects such as rising sea levels, extreme weather events, and unprecedented species extinction. The 2015 Paris Agreement, with the participation of 195 countries, aimed to reduce CO₂e emissions and limit the increase in global temperature to 2 °C compared to pre-industrial levels. Academia, the World Bank, and the Organization for Economic Co-operation and Development emphasize CO₂e pricing as a crucial initiative to mitigate global warming and promote a low-carbon economy. This can be achieved through taxes on fossil fuel emissions or a carbon credit auction system such as the Emissions Trading System (ETS). However, complexity arises when considering cross-border pricing limitations and the concern that companies may relocate to countries with less stringent environmental regulations. Therefore, the objective of this study is to investigate the correlations between the 35 countries that have CO₂e pricing practices. Data and methods involved statistical analysis of three exogenous variables using SPSS software: a) countries' position in the Environmental Performance Index (EPI) ranking; b) historical number of green patents registered in these countries; and c) the number of scientific articles published with decarbonization as a central topic. The results suggest a virtuous cycle in these countries, where CO₂e pricing leads to an increase in green articles and patents, contributing to their improved position in the global EPI ranking. The main implications of this study are that achieving the objectives of the Paris Agreement will require a collective effort from all countries, and therefore, good practices must be encouraged and replicated. Meeting decarbonization targets necessitates structural changes, such as those in the current energy model. This virtuous cycle should be extended to other countries that do not yet practice CO₂e pricing to advance the goal of mitigating global warming and transitioning to a low-carbon economy.

A comprehensive analysis of key factors’ impact on environmental performance: Evidence from Globe by novel super learner algorithm

This study aims to analyze comprehensively the impact of different economic and demographic factors, which affect economic development, on environmental performance. In this context, the study considers the Environmental Performance Index as the response variable, uses GDP per capita, tariff rate, tax burden, government expenditure, inflation, unemployment, population, income tax rate, public debt, FDI inflow, and corporate tax rate as the explanatory variables, examines 181 countries, performs a novel Super Learner (SL) algorithm, which includes a total of six machine learning (ML) algorithms, and uses data for the years 2018, 2020, and 2022. The results demonstrate that (i) the SL algorithm has a superior capacity with regard to other ML algorithms; (ii) gross domestic product per capita is the most crucial factor in the environmental performance followed by tariff rates, tax burden, government expenditure, and inflation, in order; (iii) among all, the corporate tax rate has the lowest importance on the environmental performance followed by also foreign direct investment, public debt, income tax rate, population, and unemployment; (iv) there are some critical thresholds, which imply that the impact of the factors on the environmental performance change according to these barriers. Overall, the study reveals the nonlinear impact of the variables on environmental performance as well as their relative importance and critical threshold. Thus, the study provides policymakers valuable insights in re-formulating their environmental policies to increase environmental performance. Accordingly, various policy options are discussed.

Study of Environmental Performance Index of Mines Using a Balanced Scorecard Approach and Fuzzy Network Analysis

Study of Environmental Performance Index of Mines Using a Balanced Scorecard Approach and Fuzzy Network Analysis

Impact of sustainability integrating environmental and social practices on farm resilience: a quantitative study of farmers facing the post-COVID-19 economic turbulence in Japan

Research on sustainability practices and resilience in farm systems has focused on the mutual interrelationship between the two. When identifying critical variables related to sustainability, it is essential to take an integrated perspective that considers the interplay among sustainable practices and uses a dataset that includes both environmental and social indicators. Thus, this study aims to quantitatively identify the impact of integrated sustainability indices on farm resilience, which is classified as persistence and adaptation, in the face of Post-COVID-19 economic turbulence. We obtained data from a questionnaire survey of 4,604 farms conducted by a government financial institution. Integrated sustainability indices and resilience indices are formulated through the application of factor analysis. As a result, we develop six sustainability indices that integrate environmental and social practices. A regression analysis reveals a positive correlation between the integrated sustainability indices and short-term persistence as farm resilience. Moreover, these sustainability indices exhibit a more pronounced impact on long-term adaptive resilience. These results imply that the integrated sustainability indices are more adept at evaluating farmers’ sustainability endeavors and clarifying the relationship between sustainability and farm resilience than traditional environmental and social sustainability indicators.

ISO 14001 Environmental Standard: Process Approach and Identification of Environmental Aspects and Impacts

Environmental management is the management of activities that may have an impact on the environment. It aims to limit polluting emissions and risks to the environment and to save natural resources. Often unsuspected and therefore without us always realizing it, all economic activities can have a considerable impact on the environment. Indeed, the manufacture of products requires the extraction of raw materials and the use of water and energy. Similarly, activities associated with the manufacturing process, such as maintenance, transportation; all have environmental impacts. The environmental management system is a progress tool that integrates the environmental dimension into an organization’s strategy, leading it to set objectives, achieve and maintain performance through effective management and promotes anticipation (the forecast). There is a multitude of guides allowing self-diagnosis by the organization and which make it possible to make an environmental assessment. ISO 14001 is the environmental management standard (EMS) created by the international organization for standardization. It defines the requirements of a global environmental management system for self-reporting or certification purposes. It is organized in 17 points modeled on quality management, well known for 34 years in the industry. The standard does not establish any absolute requirement for environmental performance, other than a commitment to environmental policy, to comply with legislation and the principle of continuous improvement. Pollution prevention through the identification of the various significant environmental aspects and impacts, which accounted for 70% of the requirements of ISO 14001, is the main environmental improvement point. In addition, since these environmental aspects and impacts can only be identified from the activities, products and services associated with them, this article represents a working method that allows expressing good environmental practices, present in the form of environmental performance indicators that inform in a concentrated and precise manner on the different activities with environmental relevance.

Enhancing sustainability considerations in construction industry projects

AbstractIn today’s society, the construction sector significantly influences all three aspects of sustainability: economic, environmental, and social. Industry and academia have recognized sustainability in construction projects as a key concern. The New Zealand government also focuses on providing a sustainable construction sector centred on high performance, high productivity, enhanced innovation, and improving community well-being through a better-built environment. Project management and sustainability are two distinct areas of research. Previous empirical research on the effectiveness of construction project implementation lacked sustainability success components. This research aims to provide criteria for project sustainability success for future performance on construction projects. Based on the existing literature, many economic, environmental, and social sustainability indicators were compiled for consideration at various pipeline project life cycle phases. The information gathered from the Scopus database was analyzed using ATLAS.ti 9 software to create project sustainability success criteria. Pipeline construction projects and sustainability must focus on environmental challenges while managing economic and social advantages. The research investigated sustainable construction adoption, revealing weak awareness among organizations due to limited understanding among key actors like clients, regulatory bodies, and construction organizations. Lack of effective application of sustainability guidelines, inadequate legislation, and building codes were significant hurdles in implementing sustainable practices in the construction sector. The study highlights essential issues to promote sustainable practices in the industry. The study findings suggest that organizations and individual factors are strong predictors for achieving sustainable construction and are vital antecedents leading to greater sustainability adoption. Finally, the study points to construction project managers’ knowledge of how to set up criteria connected to sustainability and how it could affect the outcome of their projects.