Energy Efficiency Convergence in China: Catch-Up, Lock-In and Regulatory Uniformity

Huang, Jianhuan; Yu, Yantuan; Ma, Chunbo

doi:10.1007/s10640-017-0112-0

Cited by 101 publications

(27 citation statements)

References 63 publications

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“…Following the method of a past paper [ 15 ], we adopt the area of various administrative division to represent land usage. Finally, primary energy consumption is estimated by the energy intensity statistics multiplied by prefecture gross domestic product (GDP) at the corresponding constant or current prices, for the specific calculation procedure see a previous work [ 16 ]. In terms of desirable output, throughout this paper, the real gross domestic product (GDP) is chosen with data values at constant 2010 prices wherever applicable.…”

Section: Methods Variables and Datamentioning

confidence: 99%

“…We select four types of emissions, i.e., CO 2 emissions, SO 2 emissions, wastewater emissions, and soot and dust emissions. The estimation method of CO 2 emissions is derived from a past work [ 16 ]. To avoid the influence of the outliers, we construct an aggregation indicator of environmental pollution index (EPI) using entropy method, higher EPI indicates heavier pollution.…”

Section: Methods Variables and Datamentioning

confidence: 99%

“…There has been a growing literature on measuring the eco-efficiency using parametric [ 4 , 5 , 6 ] or nonparametric approaches [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ]. Parametric and nonparametric approaches differ primarily in the assumptions they use when estimating the efficient frontiers.…”

Section: Introductionmentioning

confidence: 99%

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Impacts of Dynamic Agglomeration Externalities on Eco-Efficiency: Empirical Evidence from China

Yun

Miao

2018

IJERPH

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Ecological efficiency (eco-efficiency) reflects the synergetic degree of the development of resource, economic, and environmental systems. This paper measures urban eco-efficiency based on a nonconvex metafrontier data envelopment analysis (DEA) approach using data from 191 cities in China during the years of 2003 to 2013. In particular, the impacts of dynamic agglomeration externalities on urban eco-efficiency are investigated. Our empirical results show that eco-efficiency decreased from 2003 to 2013, and its spatial distribution demonstrates significant regional heterogeneity. Additionally, there exists an inverted U-shape relationship between dynamic externalities, including Marshall-Arrow-Romer (MAR), Jacobs and Porter externalities, and eco-efficiency. We also find that eco-efficiency can be enhanced by strengthening environmental regulations, optimizing industrial structures, and improving technological capacity. These findings are robust to alternative eco-efficiency measures, model specifications, and estimation approaches. Furthermore, we discuss related policy implications of our research results.

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Section: Methods Variables and Datamentioning

confidence: 99%

Section: Methods Variables and Datamentioning

confidence: 99%

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Impacts of Dynamic Agglomeration Externalities on Eco-Efficiency: Empirical Evidence from China

Yun

Miao

2018

IJERPH

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“…(2) Undesirable outputs: Like most existing literature, environmental pollutants are treated as the bad outputs. In this study, four variables are selected according to data availability, namely, carbon dioxide emission which is estimated using the procedure suggested by Huang et al [45], volume of industrial waste water discharged, volume of sulfur dioxide emission, and volume of industrial soot-dust removed. A potentially unfortunate consequence of the conventional DEA is that extreme values of inputs or outputs result in extreme weights such that some DMUs become "efficient by default" [46].…”

Section: Data Sources and Variable Definitionsmentioning

confidence: 99%

“…(6) Energy input: The primary energy consumption of 2008-2013 is extracted from Huang et al [45], the primary energy consumption of the following two years is estimated using the same method they provided. Primary energy consumption is converted to standard coal equivalent (SCE) units-the standard energy metric used in Chinese energy statistics.…”

Section: Data Sources and Variable Definitionsmentioning

confidence: 99%

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

Huang

Neng-sheng

2018

Sustainability

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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.

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Can outsourcing pest and disease control help reduce pesticide expenditure? Evidence from rice farmers

Wang,

Ma,

Diao

2024

Agribusiness

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Outsourcing pest and disease control (PDC) has grown rapidly worldwide, especially in developing countries. Although numerous studies have investigated various advantages of outsourcing PDC, little is known about its impact on pesticide expenditure. This study addresses the gap by estimating the impact of outsourcing PDC on pesticide expenditure using data collected from 448 rice farmers in China. We employ an endogenous treatment regression (ETR) model and an instrumental variable quantile regression (IVQR) model to investigate the homogenous and heterogeneous impacts of outsourcing PDC, respectively. The results estimated by the ETR model show that outsourcing PDC decreases total pesticide expenditure. The reduction in herbicide expenditure due to outsourcing PDC is greater than the reduction in insecticide expenditure. The results estimated by the IVQR model reveal that the pesticide expenditure reduction effect of outsourcing PDC is larger among farmers with higher pesticide expenditure. Our findings generally suggest that it is necessary to take outsourcing PDC into consideration when designing policies to promote pesticide expenditure reduction and protect the ecological environment and human health.

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Energy Efficiency Convergence in China: Catch-Up, Lock-In and Regulatory Uniformity

Cited by 101 publications

References 63 publications

Impacts of Dynamic Agglomeration Externalities on Eco-Efficiency: Empirical Evidence from China

Impacts of Dynamic Agglomeration Externalities on Eco-Efficiency: Empirical Evidence from China

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

Can outsourcing pest and disease control help reduce pesticide expenditure? Evidence from rice farmers

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