Regional environmental efficiency evaluation in China: Analysis based on the Super-SBM model with undesirable outputs

Li, Hong; Fang, Kuangnan; Yang, Wei; Wang, Di; Hong, Xiaoxin

doi:10.1016/j.mcm.2012.09.007

Cited by 215 publications

(108 citation statements)

References 23 publications

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“…Tone (2004) proposed a SBM model with undesired output. Li et al (2013b) added the undesired outputs to the super-efficient SBM model, and put forward the super-efficient SBM model with undesired output, and analyzed the environmental efficiency of China's economic development.…”

Section: Construction Of Inclusive Green Total Factor Productivity Indexmentioning

confidence: 99%

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Does Foreign Direct Investment Improve Inclusive Green Growth? Empirical Evidence from China

Zhu

A-zhong

2018

Economies

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Abstract:Inclusive green growth is a sustainable development mode in pursuit of economic growth, social equity, and environmental protection. At present, a large number of articles have discussed the impact of foreign direct investment (FDI) on economic growth, green growth, and inclusive growth. However, the research about inclusive green growth is mainly descriptive. This paper constructs China's inclusive green growth index and analyzes the impact of FDI on inclusive green growth in China. Specifically, by constructing a super efficiency slacks-based measure model (which has two undesirable outputs: income disparity and environmental pollution) to calculate the Inclusive green growth index, this paper compares and analyses the differences and regional characteristics of China's total factor productivity, inclusive total factor productivity, green total factor productivity, and inclusive green total factor productivity. We find that total factor productivity is decreasing after considering undesirable output, and the traditional total factor productivity is higher than the inclusive green total factor productivity by 0.112; at the regional level, the trend of the total factor productivity is gradually decreasing from east to west, which indicates that there are regional differences in inclusive green growth of China, and there is room for improvement. Meanwhile, we construct a panel vector autoregressive model (PVAR) and use generalized impulse response function and variance decomposition to analyse the influence of FDI on China's inclusive green total factor productivity. The results show that FDI is beneficial to the promotion of inclusive green total factor productivity in China, and environmental pollution in the FDI process is an important factor hindering the inclusive green total factor productivity.

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Section: Construction Of Inclusive Green Total Factor Productivity Indexmentioning

confidence: 99%

“…The income gap and environmental pollution are two kinds of undesired output in the process of economic growth. Therefore, we choose the super efficiency slacks-based measure model with unexpected output to solve the total factor productivity (Li et al 2013b).…”

Section: Introductionmentioning

confidence: 99%

Does Foreign Direct Investment Improve Inclusive Green Growth? Empirical Evidence from China

Zhu

A-zhong

2018

Economies

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“…As for the input indicators, we employ capital, labor, energy consumption, and technology as inputs, since capital and labor are important production input factors according to modern Western economics [40]. Thus, we employ total assets as an indicator for capital and annual average employed person as an indicator for labor.…”

Section: Environment Efficiency Measurement Datamentioning

confidence: 99%

“…Thus, we employ total assets as an indicator for capital and annual average employed person as an indicator for labor. Since Li et al [40] using energy consumption as an input to evaluate the regional environmental efficiency, we chose energy consumption as an indicator. Meanwhile, Zhou et al [28] indicate that environmental performance improved mainly from the technological change and technology development can improve environmental efficiency obviously.…”

Section: Environment Efficiency Measurement Datamentioning

confidence: 99%

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Environmental Efficiency and Its Determinants for Manufacturing in China

2016

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Abstract:In this study, we analyze the environmental efficiency performance and its determinants of 29 manufacturing industries in China from 2006 to 2011 by employing a two-stage DEA (data envelopment analysis)-Tobit model. For providing comparative and robust evidence, the 29 manufacturing industries are classified into three groups based on the pollution intensity. In the first stage, a SBM (slacks-based measure)-DEA model is applied to assess economic efficiency and environmental efficiency scores to illustrate the effects of the environmental factors, while taking into consideration the undesirable output. In the second stage, utilizing these calculated environmental efficiency scores as dependent variables, we employ a Tobit regression model to study the determinants of the environmental efficiency by selecting three independent variables including the industry scale, the openness degree and the energy structure. It turns out that the environmental factors have a positive effect on the lightly polluted industries and a negative effect on the moderately polluted industries, the heavily polluted industries, and the overall industries, while the openness degree, the industry scale, and the energy structure can be effective measures to improve environmental efficiency. Based on these findings, we propose policy measures to enhance the environmental efficiency of manufacturing in China.

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Measuring Dynamic Energy Efficiency in Africa: A Slack‐Based DEA Approach

Amowine

et al. 2020

Energy Science & Engineering

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Sustainable economic prosperity has become a major policy initiative for economies worldwide. To accomplish this objective, it is imperative to reduce CO 2 emissions, which makes attaining sustainable development goals problematic. In this regard, improving economic growth without disastrously hampering the environment is a key factor in the fight against climate change. As such, many nations and multinational organizations have promulgated laudable and sound policy initiatives to achieve CO 2 emission reduction targets. One such policy directive is the reduction of CO 2 emission drastically by the end of the 21st century formulated by the intergovernmental panel on climate change (IPCC) in 1996. 1

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Regional environmental efficiency evaluation in China: Analysis based on the Super-SBM model with undesirable outputs

Cited by 215 publications

References 23 publications

Does Foreign Direct Investment Improve Inclusive Green Growth? Empirical Evidence from China

Does Foreign Direct Investment Improve Inclusive Green Growth? Empirical Evidence from China

Environmental Efficiency and Its Determinants for Manufacturing in China

Measuring Dynamic Energy Efficiency in Africa: A Slack‐Based DEA Approach

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