Aggregate index of social–environmental sustainability to evaluate the social–environmental quality in a watershed in the Southern Amazon

The purpose of this study was to build an aggregate index of social–environmental sustainability derived from incorporation of indicators of the quality of soil, water, and vegetation, and social organization and socioeconomic variables, in order to assess the overall social–environmental quality in a micro watershed in the Southern Amazon. From a population of 105 family production units 56 were randomly selected for evaluation of indicators of the quality of soil and water as well as for conducting interviews to evaluate the farmers’ perception of soil, water, and vegetation quality and also of socioeconomic aspects of agroecosystems. The aggregate index built from social–environmental sustainability indicators shows that the selected indicators were adequate for describing social–environmental quality and confirms the hypothesis that the studied micro-watershed in the southern edge of the Amazon is in a state of collapse, and is socially and environmentally degraded.     

Towards a dashboard of sustainability indicators for Panama: A participatory approach

The importance of pursuing sustainable modes of development has received increased global recognition in recent years. Since the issue was first addressed in the United Nations⿿ 1987 Brundtland Report, many countries have developed their own sustainability strategies. In Panama, a UNESCO Chair entitled Dialogues on Sustainability was created in 2011 by four scholarly institutions with the objective of advancing a sustainability agenda through education, research and discussion. In line with conclusions from the United Nations⿿ Agenda 21 action plan, the UNESCO Chair identified the creation of a set of national sustainability indicators as an important step toward this goal. This paper presents the work done by the Chair to develop a dashboard of national sustainability indicators for Panama. Indicators were selected using participatory methods, involving 42 individuals representing 16 different government agencies, NGOs, academic institutions, and private entities from Panama. Adhering to a three-pillar structure, the resulting dashboard of 20 indicators is shown to be a useful tool for understanding past trends, present issues, and future trajectories within Panama⿿s economic, environmental, and social spheres. As a further demonstration of the dashboard⿿s utility, this paper focuses on three example issues shown by the dashboard to be important: security, vehicles and vehicle emissions, and natural disasters. This paper also juxtaposes the Human Development Index and Ecological Footprint to compare Panama with other Latin American countries.     

A PCA-based method for construction of composite sustainability indicators

Purpose

Sustainable manufacturing is practiced globally as a comprehensive strategy for improving the sustainability performance of the manufacturing industry. While sustainability is characterized into such three dimensions as economic, environmental, and social, currently, there is no quantitative method yet to measure the so-called ??sustainability?? in the manufacturing industry. The objective of this research is to develop a comprehensive and effective quantitative method to measure the overall sustainability performance of manufacturing companies.

Methods

In this paper, an integrated methodology is presented for the development of composite sustainability indicators based on principal component analysis (PCA). In developing this integrated approach, both industry and academia surveys are conducted to identify what sustainability indicators are favored by the sustainable manufacturing community. A unique index is then generated to measure the overall sustainability performance of industrial practices. The methodology can be used for benchmarking the overall sustainability performance of various manufacturing companies.

Results

A case study is conducted on a total of 11 global electronic manufacturing companies. The overall sustainability performance of these companies are measured, benchmarked, and ranked. The results showed that PCA is an effective approach for constructing composite sustainability indicators across environmental, economic, and social dimensions.

Conclusions

From this research, it is found that industry and academia have different views on the sustainability measurement, evidenced by different weights put on the same indicator in industry and academia. The case study demonstrated that the methodology presented in this paper is an effective tool for comprehensive measurement of sustainability performance of manufacturing companies. Strengths and weaknesses of each company can be identified. Then, the recommended improvements can be suggested based on the study of each of the individual indicators.     

Introducing weights to life cycle sustainability assessment—how do decision-makers weight sustainability dimensions?

Purpose

Decisions based on life cycle sustainability assessment (LCSA) pose a multi-criteria decision issue, as impacts on the three different sustainability dimensions have to be considered which themselves are often measured through several indicators. To support decision-making at companies, a method to interpret multi-criteria assessment and emerging trade-offs would be beneficial. This research aims at enabling decision-making within LCSA by introducing weights to the sustainability dimensions.

Methods

To derive weights, 54 decision-makers of different functions at a German automotive company were asked via limit conjoint analysis how they ranked the economic, environmental, and social performance of a vehicle component. Results were evaluated for the entire sample and by functional clusters. Additionally, sustainability respondents, i.e., respondents that dealt with sustainability in their daily business, were contrasted with non-sustainability respondents. As a last step, the impact of outliers was determined. From this analysis, practical implications for ensuring company-optimal decision-making in regard to product sustainability were derived.

Results and discussion

The results showed a large spread in weighting without clear clustering. On average, all sustainability dimensions were considered almost equally important: the economic dimension tallied at 33.5%, the environmental at 35.2%, and the social at 31.2%. Results were robust as adjusting for outliers changed weights on average by less than 10%. Results by function showed low consistency within clusters hinting that weighting was more of a personal than a functional issue. Sustainability respondents weighted the social before the environmental and economic dimension while non-sustainability respondents put the economic before the other two dimensions. Provided that the results of this research could be generalized, the retrieved weighting set was seen as a good way to introduce weights into an operationalized LCSA framework as it represented the quantification of the already existing decision process. Therefore, the acceptance of this weighting set within the respective company was expected to be increased.

Conclusions

It could be shown that conjoint analysis enabled decision-making within LCSA by introducing weights to solve a multi-criteria decision issue. Furthermore, implications for practitioners could be derived to ensure company-optimal decision-making related to product sustainability. Future research should look at expanding the sample size and geographical scope as well as investigating the weighting of indicators within sustainability dimensions and the drivers that influence personal decision-making in regard to weighting sustainability dimensions.

     

Cultural values on CSR patterns and evolution: A study from the biplot representation

Based on institutional and stakeholder theory, this study aims to observe the influence the cultural system has on the degree of responsibility of business behaviour and examines how normative isomorphism influences the Corporate Social Responsibility practices at the country level. We use the Hofstede model because its dimension group highlights the cultural similarities and differences between countries, and we measure CSR along five indicators referring to environmental and social dimensions. This study contributes to the literature by adopting a multi-region approach considering a sample of 6600 observations of 600 publicly-listed companies headquartered in 18 countries in Europe, North America, Japan and Australia, during the period 2004–2014. Given the multidimensional character of the data, we use the exploratory statistical techniques X-STATIS and HJ-biplot, since this allows us to approximate a large group of variables in a low-dimensional space, providing us with a useful visualisation of the structure of the data of the sample relative to the variables. Our main conclusion is that cultural dimensions exert important pressures on firms and their commitment, so, companies located in collectivist societies and, even more, in feminist ones, are characterised by the pursuit of the common good and place greater emphasis on social and environmental issues, thereby showing best CSR practices. Overall, the data does point to more activity in Northern than in Southern Europe, and show that companies respond to what is important in their own countries; for example, the Nordic countries give priority to social policies, while Japanese companies are more committed to the environment. Finally, our results evidence that companies worldwide adopt similar patterns of CSR practices, but their degree of development is strongly determined by the normative institutional characteristics.     

Biodiesel-TBL+: A new hierarchical sustainability assessment framework of PC&I for biodiesel production – Part I

Sustainability assessment of biodiesel production is a topic of increasing importance due to the interest of governments to define sovereignty strategies and diversification of their energy matrix, and to set up the impact of biofuels production. In this context, this work aims to propose a hierarchical structure of sustainability assessment that integrates dimensions of sustainable development with principles, criteria and indicators (PC&I). The method employed to define the hierarchical structure was a comprehensive literature review, based on information search strategy and classification. About 400 documents were reviewed and 103 documents were ultimately selected, including laws, policy documents, certificates, directives and other normative documents and papers published in peer-reviewed journals. The first result of the analysis was the need to strengthen identification of the sustainable development assessment, adding the political and technological dimensions to the three traditional dimensions, social, economic and environmental, studied in this kind of evaluation. The second result was the proposal of a hierarchical framework for the sustainability assessment of biodiesel production, organized in four levels: the first level comprises the five dimensions associated with sustainable development evaluation, the second includes 13 principles, the third contains 40 criteria and the fourth level corresponds to a set of indicators that describes each criterion. Outcomes of this work provide a foundation for further discussion of sustainability assessments for biodiesel production and its potential application in specific contexts.     

Assessing regional sustainable development through an integration of nonlinear principal component analysis and Gram Schmidt orthogonalization

The regional sustainable development level (SDL), sustainability of regional development (SRD) and system coordination (SC) make up the triangular truss of regional sustainable development assessment, but it is debated how should traditional practice best weight and calculate the whole sustainable development system level. The Bohai Rim, covering three provinces and two municipalities in China, lies in a region that is sensitive to profound conflict between socioeconomic development and environment pollution in the process of sustainable development. Considering the defects of traditional models and the multidimensionality of regional sustainability issues, we proposed an integrated model of nonlinear principal component analysis and Gram Schmidt orthogonalization and presented a novel regional sustainable development assessment method and framework from three perspectives for the society–economy–environment system of the Bohai Rim region. The results show that: (a) the integration of nonlinear principal component analysis and Gram Schmidt orthogonalization can well remedy the defects of traditional methods and provide a more objective conceptual framework; (b) the sustainability of regional development and system coordination models graphically demonstrate the essence and connotation of a dynamic sustainable development system; (c) the empirical study demonstrated that the Bohai Rim region has experienced a distinct development period in which the SRD experienced a steady decline and the SDL and SC generally increased; (d) the coordination ability can be improved by a decline in the environmental sustainability, which reveals the importance of environment subsystem optimization; and (e) the weight distribution of variables demonstrates that the most significant factors affecting sustainable development are the indicators from the dimensions of people's standard of living, economic structure and environmental pollution. This study enriches the sustainable development assessment theory and methodology, and lays the foundation for further sustainable development research in the Bohai Rim region.     

Urbanization in Southeast Asia: Assessing Policy Process and Progress toward Sustainability

In investigating the relationship between urbanization and sustainability in cities of developing countries, many researchers have looked to rising incomes as a driver for environmental improvement. This article challenges the transition and evolutionary models of urban environmental development that suggest that as cities grow in per capita income, their local environmental problems will diminish. The transition model is outcomes-based, and a competing model based on greater attention to participation in setting sustainability goals and assessing the progress toward those goals is presented.
Consensus on appropriate sustainability indicators is a key element, albeit a challenging one, in the task of pursuing urban sustainability. This is due to the contested nature of the concept of sustainability and also the fact that much of the work done on sustainability has been conducted among countries or on a national scale. A brief review of health, urban transport, air quality, and sewerage indicators suggests that cities do not necessarily see more progress as the per capita income increases. Low-income cities in Southeast Asia that are performing well are likely to see a deterioration in standards with rapid economic and population growth.     

Integrating triple bottom line input–output analysis into life cycle sustainability assessment framework: the case for US buildings

Purpose

With the increasing concerns related to integration of social and economic dimensions of the sustainability into life cycle assessment (LCA), traditional LCA approach has been transformed into a new concept, which is called as life cycle sustainability assessment (LCSA). This study aims to contribute the existing LCSA framework by integrating several social and economic indicators to demonstrate the usefulness of input–output modeling on quantifying sustainability impacts. Additionally, inclusion of all indirect supply chain-related impacts provides an economy-wide analysis and a macro-level LCSA. Current research also aims to identify and outline economic, social, and environmental impacts, termed as triple bottom line (TBL), of the US residential and commercial buildings encompassing building construction, operation, and disposal phases.

Methods

To achieve this goal, TBL economic input–output based hybrid LCA model is utilized for assessing building sustainability of the US residential and commercial buildings. Residential buildings include single and multi-family structures, while medical buildings, hospitals, special care buildings, office buildings, including financial buildings, multi-merchandise shopping, beverage and food establishments, warehouses, and other commercial structures are classified as commercial buildings according to the US Department of Commerce. In this analysis, 16 macro-level sustainability assessment indicators were chosen and divided into three main categories, namely environmental, social, and economic indicators.

Results and discussion

Analysis results revealed that construction phase, electricity use, and commuting played a crucial role in much of the sustainability impact categories. The electricity use was the most dominant component of the environmental impacts with more than 50 % of greenhouse gas emissions and energy consumption through all life cycle stages of the US buildings. In addition, construction phase has the largest share in income category with 60 % of the total income generated through residential building’s life cycle. Residential buildings have higher shares in all of the sustainability impact categories due to their relatively higher economic activity and different supply chain characteristics.

Conclusions

This paper is an important attempt toward integrating the TBL perspective into LCSA framework. Policymakers can benefit from such approach and quantify macro-level environmental, economic, and social impacts of their policy implications simultaneously. Another important outcome of this study is that focusing only environmental impacts may misguide decision-makers and compromise social and economic benefits while trying to reduce environmental impacts. Hence, instead of focusing on environmental impacts only, this study filled the gap about analyzing sustainability impacts of buildings from a holistic perspective.     

Assessment of sustainable development in the EU 27 using aggregated SD index

In the European Union the sustainable development is a fundamental and overarchingobjective enshrined in the Treaty and measuring progress towards sustainable development is an integral part of the EU Sustainable Development Strategy. Eurostat produce a monitoring report every two years based on the EU set of sustainable development indicators (SDIs). The main objective of this paper is to create an aggregated index of the sustainable development from EU set of SDIs for each 27 EU country based on the PCA. The headline indicator economic growth was not involved because its increase is not expressly followed by positive change in other SDIs from social, economic and environmental fields. The aggregated SD index enables to get an overall picture about the position of each of the 27 EU countries and its development in terms of the sustainability over time as assumed in the EU Sustainable Development Strategy. Sweden, Denmark, Netherland, and Great Britain have repeatedly reached the highest value of aggregated SD index. The highest positive change in the aggregated SD index has occurred in countries with the lowest value of aggregated SD index. Moreover, we put this new aggregated index in relation with economic growth and found that there is a negative correlation between aggregated SD index and the economic growth for most of the 27 EU countries.     

Empirical evaluation of sustainability of divergent farms in the dryland farming systems of India

The present study argues that there are heterogeneous farm systems within the drylands and each farm system is unique in terms of its livelihood asset and agricultural practice, and therefore in sustainability. Our method is based on household survey data collected from 500 farmers in Anantapur and Kurnool Districts, in Andhra Pradesh State of India, in 2013. We carried out principal component analysis (PCA) with subsequent hierarchical clustering methods to build farm typologies. To evaluate sustainability across these farm typologies, we adopted a framework consisting of economic, social and environmental sustainability pillars and associated indicators. We normalized values of target indicators and employed normative approach to assign different weights to these indicators. Composite sustainability indices (CSI) were then estimated by means of weighted sum of indicators, aggregated and integrated into farm typologies. The results suggested that there were five distinct farm typologies representing farming systems in the study area. The majority of farms (>70%) in the study area are small and extensive (typology 1); marginal and off farm based (typology 2). About 20% of the farms are irrigation based and intensive (typology 3); small and medium and off farm based (typology 4) and irrigation based semi-intensive (typology 5). There was apparent variability among farm typologies in terms of farm structure and functions and composite sustainability indices. Farm typologies 3 and 5 showed significantly higher performances for the social and economic indices, while typologies 2 and 4 had relatively stronger values for environment. These discrepancies support the relevance of integrated farm typology- and CSI approaches in assessing system sustainability and targeting technologies. Universally, for all farm typologies, composite sustainability indices for economic pillar was significantly lower than the social and environment pillars. More than 90% of farmers were in economically less-sustainable class. The correlations between sustainability indices for economic and environment were typology specific. It was strong and positive when aggregated for the whole study systems [all samples (r = 0.183; P < 0.001)] and for agriculture dependent farm typologies (e.g. typologies 1 and 3). This suggests the need to elevate farms economic performance and capacitate them to invest in the environment. These results provide information for policy makers to plan farm typology–context technological interventions and also create baseline information to evaluate sustainability performance in terms of progress made over time.     

An Entangled Model for Sustainability Indicators

Nowadays the challenge for humanity is to find pathways towards sustainable development. Decision makers require a set of sustainability indicators to know if the sustainability strategies are following those pathways. There are more than one hundred sustainability indicators but they differ on their relative importance according to the size of the locality and change on time. The resources needed to follow these sustainability indicators are scarce and in some instances finite, especially in smaller regions. Therefore strategies to select set of these indicators are useful for decision makers responsible for monitoring sustainability. In this paper we propose a model for the identification and selection of a set of sustainability indicators that adequately represents human systems. In developing this model, we applied evolutionary dynamics in a space where sustainability indicators are fundamental entities interconnected by an interaction matrix. we used a fixed interaction that simulates the current context for the city of Cuernavaca, México as an example. We were able to identify and define relevant sets indicators for the system by using the Pareto principle. In this case we identified a set of sixteen sustainability indicators with more than 80% of the total strength. This set presents resilience to perturbations. For the Tangled Nature framework we provided a manner of treating different contexts (i.e., cities, counties, states, regions, countries, continents or the whole planet), dealing with small dimensions. This model provides decision makers with a valuable tool to select sustainability indicators set for towns, cities, regions, countries, continents or the entire planet according to a coevolutionary framework. The social legitimacy can arise from the fact that each individual indicator must be selected from those that are most important for the subject community.     

Assessing the sustainability of water companies: A synthetic indicator approach

Performance indicators (PIs) are essential in the benchmarking process used to rate and rank water companies. However, a set of individual PIs does not provide a holistic assessment of company performance from multiple perspectives. A multidimensional evaluation of the performance of water companies can be achieved by aggregating the PIs into a synthetic indicator. Although the concept of sustainability involves economic, environmental and social criteria, most of the previous studies have not considered these three dimensions simultaneously. This paper discusses a process of indicator aggregation using two approaches based on multi-criteria decision analysis to evaluate and compare the sustainability of water companies from a holistic perspective. A synthetic indicator embracing economic, environmental and social PIs was computed for a sample of 154 Portuguese water companies. Both methods yielded similar rankings of water company sustainability. The techniques and results presented in this paper may be utilized as a means of improving the benchmarking process in regulated water industries, as well as providing valuable contributions to decision-makers on the most efficient steps for improving the sustainability of urban water services.     

Deriving sustainability measures using statistical data: A case study from the Eisenwurzen, Austria

Within the past two decades sustainability has become a key term in emphasizing and understanding relationships between economic progress and the protection of the environment. One key difficulty is in the definition of sustainability indicators based on information at different spatial and temporal scales. In this paper we formalize statistical models for the assessment of sustainability impact indicators using a public data source provided by the Austrian government. Our application example is the Eisenwurzen region in Austria, an old and famous mining area within the Alps. The total area covers 5.743 km² and includes 99 municipalities. In our study we define 15 impact indicators covering economic, social and environmental impacts. For each of the impact indicators we develop response functions using the available public data sources. The results suggest that the available data are an important source for deriving sustainable impact indicators within specific regions. The presented approach may serve as diagnostic tool to provide insights into the regional drivers for assessing sustainability indicators.     

中国不同规模城市可持续发展综合评价

城市是一类社会-经济-自然复合生态系统,城市的可持续发展指标体系和评价方法是衡量城市经济、社会、环境状况及可持续发展能力的重要手段。采用全排列多边形综合图示法,以中国277个地级及地级以上城市为研究对象,建立了不同规模城市的可持续发展指标体系,包括经济发展、社会进步、生态环境3类24项指标,对其2000—2010年的可持续发展能力进行了综合评价。研究结果表明:从不同城市规模类型间横向对比分析来看,随着城市规模的增大,经济发展、社会进步和可持续发展综合指数相应提高,生态环境指数却随之下降。从不同规模城市类型内的时间序列分析对比来看,2000—2010年不同规模城市的经济发展、社会进步、生态环境指数各个方面均有显著提高,可持续发展综合指数也伴随着提升。并且,巨大特大型城市在生态环境保护方面提高幅度最大;大型城市在社会进步方面提高幅度最大;中小型城市在经济发展和可持续发展综合能力方面提高幅度最大。但截止到2010年,不同规模城市的可持续发展综合指数均为Ⅲ级,可持续发展能力仅处于一般水平。探究了中国不同规模的城市可持续发展过程中面临的诸多问题,然后提出相应的对策建议,为今后的新型城市化建设提供参考。     

Indicators for assessing socioeconomic sustainability of bioenergy systems: A short list of practical measures

Indicators are needed to assess both socioeconomic and environmental sustainability of bioenergy systems. Effective indicators can help to identify and quantify the sustainability attributes of bioenergy options. We identify 16 socioeconomic indicators that fall into the categories of social well-being, energy security, trade, profitability, resource conservation, and social acceptability. The suite of indicators is predicated on the existence of basic institutional frameworks to provide governance, legal, regulatory and enforcement services. Indicators were selected to be practical, sensitive to stresses, unambiguous, anticipatory, predictive, estimable with known variability, and sufficient when considered collectively. The utility of each indicator, methods for its measurement, and applications appropriate for the context of particular bioenergy systems are described along with future research needs. Together, this suite of indicators is hypothesized to reflect major socioeconomic effects of the full supply chain for bioenergy, including feedstock production and logistics, conversion to biofuels, biofuel logistics and biofuel end uses. Ten indicators are highlighted as a minimum set of practical measures of socioeconomic aspects of bioenergy sustainability. Coupled with locally prioritized environmental indicators, we propose that these socioeconomic indicators can provide a basis to quantify and evaluate sustainability of bioenergy systems across many regions in which they will be deployed.     

Emergy analysis of regional water ecological–economic system

The theoretical framework and methodology of a water ecological–economic system (WEES) assessment based on emergy synthesis are proposed in this paper. Through calculating ecological and economic inputs and outputs within and outside the complex system, this paper discusses the system's economic situation, water resources development and system sustainability based on a series of emergy indicators. Besides traditional indices, following the principle of system assessment, four new indices, water emergy ratio (WER), water emergy utilization ratio (WEUR), water emergy self-support ratio (WESR), and water emergy density (WED) are formulated to assess the state of water resources development quantitatively. Taking the Zhengzhou water ecological–economic system as a study area, through the comparison of the systematic indicators of Zhengzhou with those of the selected Chinese cities, the general status of the Zhengzhou water ecological–economic system in China is identified. The results also show that most indicators of Beijing are located at middle levels among the selected Chinese cities. In particular, the sustainability, expressed by the indicators emergy-based sustainability index (ESI) and water resources population carrying capacity (WPC) were 1.34 and 1.94 million, respectively, in Zhengzhou in 2005, which indicates that the Zhengzhou WEES is in heavy pressure of water resources and is located at low levels of sustainability.     

Interaction characteristics and development pattern of sustainability system in BHR (Bohai Rim) and YRD (Yangtze River) regions,China

The well-run structure, function and dynamics of complex regional sustainability system are critical for maintaining regional sustainability stability, so exploring the interaction characteristics and development pattern of the system should be considerably significant. Based on the new comprehensive index system of sustainability system, the indices of social, economic and eco-environmental dimensions and nine thematic indices are firstly presented for BHR (Bohai Rim) and YRD (Yangtze River) regions during the period 2001–2010, and then the regional sustainability changes are further tracked by regional sustainability index (RSI) and regional coordination index (RCI). Furthermore, we mainly focus on the dynamic interaction characteristics and propose green development index (GDI) to reflect the development pattern of BHR and YRD from the perspective of taking all indicators into account. The study results show that: the average annual growth rates of the indices of social, economic and eco-environmental dimensions of the BHR region are 10.00%, 19.11% and 0.37% during the study period, while the ones of YRD region are 7.32%, 20.25% and 0.46%, respectively, demonstrating that economic progress is the fastest-improving pillar for RSI of the two regions; the standard deviations of the indices of three dimensions that can construct a triangle diagram and the amount of that failed to construct are both decreasing from 2001 to 2012, showing that the RCI of two regions have made some progresses; BHR have stayed in some positions where eco-environmental level gradually decreases (from 0.50 to 0.45) with the progression of socioeconomic situations (from 0.20 to 0.50), while BHR in a position where eco-environmental level gradually increases (from 0.53 to 0.57) with the progression of socioeconomic situations (from 0.25 to 0.55), revealing dynamic interaction characteristics, and then in their evolution trajectories, YRD has been principally at the intermediate sustainable development stage while BHR always at the potentially unsustainable one; the green social or economic development degree, associated with the uneven resource utilization and eco-environment occupancy among provinces, should contribute most to regional development pattern. The study guides a direction where the policy makers need to improve in regional sustainability management.     

助推2030可持续发展议程环境目标落实——第二届联合国环境大会会议简述

第二届联合国环境大会于2016年5月23日—27日在肯尼亚内罗毕举行,来自174个国家的2500多名代表参加了此次会议。其主题是"落实《2030年可持续发展议程》中的环境目标"。会议聚焦于最新的全球、区域和国家环境问题,审视可持续发展议程及其环境目标的落实情况,并最终达成了25项具有里程碑意义的决议,推动落实2030年可持续发展议程。对于中国而言,应该在落实2030议程环境目标的过程中,加快经济转型和生态文明建设,推动实现建设美丽中国和可持续发展的目标。     

Economic growth and environmental impacts: An analysis based on a composite index of environmental damage

The conflict between economic growth and the environment is complex and sharper today than ever before. Indeed, the relationship between economic growth and the sustainability of ecosystems has been extensively discussed in the literature, but the results remain controversial.This paper reviews the use of single and composite indicators of environmental damage and questions whether the Environmental Kuznets Curve (EKC) hypothesis sufficiently mirrors the relationship between economic growth and ecological damage. Ecological Indicators are relevant when they potentially inform society about ecological developments in a reliable way. We use the modified composite index of environmental performance (mCIEP) to measure environmental damage, and GDP per capita to represent economic growth. The econometric model is developed using panel data composed of 152 countries and a period of 6 years. The model is estimated for the full sample, for three different sets of countries, by level of development, and a decomposition analysis is carried out, which corresponds to the study of the CIEP individual dimensions.Our results reveal that, at present, the EKC hypothesis is not proved. We conclude that it is critical to be clear that economic growth alone is not enough to improve environmental quality. Therefore, creating a consistent, coherent and effective environmental policy framework is essential in order to improve environmental quality that supports wellbeing and enables long-term economic development.