Environmental performance indicators of China's coal mining industry: A bootstrapping Malmquist index analysis
出版年份 2021 全文链接
标题
Environmental performance indicators of China's coal mining industry: A bootstrapping Malmquist index analysis
作者
关键词
Coal mining, Malmquist index, Bootstrapping, Environmental performance
出版物
RESOURCES POLICY
Volume 71, Issue -, Pages 101991
出版商
Elsevier BV
发表日期
2021-01-18
DOI
10.1016/j.resourpol.2021.101991
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- China CO2 emission accounts 2016–2017
- (2020) Yuli Shan et al. Scientific Data
- Super-slack-based measuring data envelopment analysis on the spatial–temporal patterns of logistics ecological efficiency using global Malmquist Index model
- (2020) Renyan Long et al. Environmental Technology & Innovation
- A temporal progressive analysis of the social performance of mining firms based on a Malmquist index estimated with a Benefit-of-the-Doubt directional model
- (2020) Renata Oliveira et al. JOURNAL OF CLEANER PRODUCTION
- Direct estimation of marginal characteristics of nonparametric production frontiers in the presence of undesirable outputs
- (2019) Victor V. Podinovski EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Sustainable total factor productivity growth for 55 states: An application of the new malmquist index considering ecological footprint and human development index
- (2019) Shujing Yue et al. RESOURCES CONSERVATION AND RECYCLING
- Selective strong and weak disposability in efficiency analysis
- (2019) Mahmood Mehdiloo et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Productivity and energy efficiency assessment of existing industrial gases facilities via data envelopment analysis and the Malmquist index
- (2018) David Fernández et al. APPLIED ENERGY
- Nonparametric production technologies with weakly disposable inputs
- (2018) Mahmood Mehdiloozad et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Assessing integrated water use and wastewater treatment systems in China: A mixed network structure two-stage SBM DEA model
- (2018) Xiaoyang Zhou et al. JOURNAL OF CLEANER PRODUCTION
- China CO2 emission accounts 1997–2015
- (2018) Yuli Shan et al. Scientific Data
- Environmental efficiency analysis of China's regional industry: a data envelopment analysis (DEA) based approach
- (2017) Liang Chen et al. JOURNAL OF CLEANER PRODUCTION
- A framework for measuring global Malmquist–Luenberger productivity index with CO 2 emissions on Chinese manufacturing industries
- (2016) Ali Emrouznejad et al. ENERGY
- Comprehensive efficiency evaluation of coal enterprises from production and pollution treatment process
- (2015) Malin Song et al. JOURNAL OF CLEANER PRODUCTION
- Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis
- (2015) Ning Zhang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- China’s regional energy and environmental efficiency: A Range-Adjusted Measure based analysis
- (2013) Ke Wang et al. APPLIED ENERGY
- Dynamic DEA with network structure: A slacks-based measure approach
- (2013) Kaoru Tone et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- Online Discriminative Kernel Density Estimator With Gaussian Kernels
- (2013) Matej Kristan et al. IEEE Transactions on Cybernetics
- Comparative study on efficiency performance of listed coal mining companies in China and the US
- (2009) Hong Fang et al. ENERGY POLICY
- Directional distance functions and slacks-based measures of efficiency
- (2009) Rolf Färe et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Dynamic DEA: A slacks-based measure approach☆
- (2009) Kaoru Tone et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- ASYMPTOTICS AND CONSISTENT BOOTSTRAPS FOR DEA ESTIMATORS IN NONPARAMETRIC FRONTIER MODELS
- (2008) Alois Kneip et al. ECONOMETRIC THEORY
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