Composite eco-efficiency indicators for China based on data envelopment analysis

Huang, Jianhuan; Xia, Jiejin; Yu, Yantuan; Zhang, Ning

doi:10.1016/j.ecolind.2017.10.040

Cited by 107 publications

(48 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…More specifically, we examine the association between the pollution information transparency index (henceforth PITI, maximum value is 100) and eco-efficiency measured by an extended DEA model [2], simultaneously incorporating the presence of metafrontier technique, undesirable outputs, and super efficiency into slacks-based measure (henceforth Meta-US-SBM). (The World Business Council for Sustainable Development (WBCSD) defines eco-efficiency as the reducing environmental impact and resource intensity in the process of satisfying human needs and bringing quality of life [3].…”

Section: Introductionmentioning

confidence: 99%

Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China

Huang

Neng-sheng

2018

Sustainability

Self Cite

View full text Add to dashboard Cite

The present paper investigates the impact of pollution information transparency index (PITI) on eco-efficiency using a novel panel dataset covering 109 key environmental protection prefecture-level cities in China over the period [2008][2009][2010][2011][2012][2013][2014][2015]. We apply an extended data envelopment analysis (DEA) model, simultaneously incorporating metafrontier, undesirable outputs and super efficiency into slack-based measure (Meta-US-SBM) to estimate eco-efficiency. Then, the bootstrap Granger causality approach is utilized to test the unidirectional Granger causal relationship running from PITI to eco-efficiency. Results of DEA model show that there exist significant spatiotemporal disparities of eco-efficiency, on average, the eco-efficiency in eastern region is relative higher than those of central/western region. Estimates of ordinary least square (OLS) method, quantile regression, and spatial Durbin model document that the evidence of an inverted-U-shaped relation between PITI and eco-efficiency is supported, and the turning points vary from 0.3370 to 0.4540 with different model specifications. Finally, supplementary analysis of panel threshold model also supports the robust findings. Policy implications are presented based on the empirical results.

show abstract

Section: Introductionmentioning

confidence: 99%

Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China

Huang

Neng-sheng

2018

Sustainability

Self Cite

View full text Add to dashboard Cite

show abstract

“…Metafrontier analysis is a mainstream approach to consider the heterogeneity of factors [ 46 – 48 ], and it proceeds in two steps. First, banks are classified into different groups according to their internal characteristics (such as state-owned commercial banks, joint-stock commercial banks, and foreign banks), including some stylized environments [ 49 – 52 ] to estimate a group-specific production frontier for each group.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and evolution of bank efficiency considering heterogeneity technology: An empirical study from China

Yin

Huang

2018

PLoS ONE

Self Cite

View full text Add to dashboard Cite

The performances of different types of banks may vary due to heterogeneous technology, which can be examined by metafrontier analysis. However, the metafrontier constructed in most existing literature is concave, resulting in a biased estimation of efficiency. Based on 93 Chinese commercial banks over the period of 2005–2016, we first evaluate the banking efficiency by using the proposed data envelopment analysis (DEA) model, NCMeta-US-NSBM, which simultaneously incorporates a non-concave metafrontier technique, undesirable outputs, and super efficiency into a network slacks-based measure (NSBM) model. Subsequently, the evolution of banking efficiency during the study period is investigated on the basis of the Dagum Gini index and kernel density estimation methods. The main empirical results show the following. 1) There exists significant disparity/heterogeneity in banking efficiency for overall efficiency, productivity efficiency, and profitability efficiency. 2) The results of the technology gap ratio (TGR) and the evaluation of stated-owned banks (SOB), joint-stock banks (JSB), and city commercial banks (CCB) in the productivity stage are higher than those in the profitability stage, indicating that most of the banks have a large space for improvement, especially for SOB and JSB in the profitability stage. 3) The major contribution of the overall difference of banking efficiency in China is the intensity of the transvariation. 4) Although the kernel density estimations for different efficiency scores have similar distributions in corresponding years, the multilevel differentiation phenomenon of banking efficiency may appear after 2008.

show abstract

“…Nevertheless, much research is not comprehensive: Some researches preferred to focus on only one or two aspects of the problems. For example, research on industrial wastewater pollution evaluation [40], efficiency evaluation of industrial system cleaner production and waste disposal [41], and industrial eco-efficiency indicators have been established [42,43]. Meanwhile, from the perspective of environmental protection, scholars studied ecological environment evaluation on all kinds of perspective [44], and analysis of the interactions among China's economic growth and its energy consumption, air emissions, and air environmental protection investment [45].…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Development of Industry–Environmental System Based on Resilience Perspective

Wan

Yang

Wen

et al. 2020

IJERPH

View full text Add to dashboard Cite

The contradiction between industrial development and ecological environment pressure has been becoming progressively severe. Under this circumstance, more attention has been paid to the balance between industrial economic development and environmental deterioration and resource consumption. Thus, this study takes the development of industry and ecological environment change as an interactive system consideration, and comprehensively evaluates the changes of the industrial-environment system on resilience perspective with innovation. Accordingly, this paper establishes a comprehensive evaluation model. The Environmental Performance Index (EPI) and Industrial Structure Entropy (ISE) were applied to analyze the current environment pressure and industrial conditions. Then, the catastrophe theory was used to evaluate the reasonably established index system for the impact of various factors in the industrial-environment system on the resilience change. Next, the adaptive cycle model was used to analyze the evaluation results and reveals the dynamic change law of the system in the resilience range. Finally, Chengdu was selected as the research area to verify the validity of the whole study. It was found that the resilient change process of Chengdu industry-environmental system accord with the four-stage theory of adaptive cycle model. The resilient level of the city was also improved during the cycle. The result of the study can be useful to future plans and decisions. What is more, understanding the characteristics of each stage will be helpful to determine the reasonable implementation time of each key factor and improve its feedback ability.

show abstract

Composite eco-efficiency indicators for China based on data envelopment analysis

Cited by 107 publications

References 48 publications

Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China

Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China

Evaluation and evolution of bank efficiency considering heterogeneity technology: An empirical study from China

Sustainable Development of Industry–Environmental System Based on Resilience Perspective

Contact Info

Product

Resources

About