Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach

Bangzhu Zhu; Mengfan Zhang; Liqing Huang; Ping Wang; Bin Su; Yi Ming Wei

doi:10.1016/j.eneco.2019.104601

Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach

Bangzhu Zhu^*
, Mengfan Zhang
, Liqing Huang
, Ping Wang
, Bin Su
, Yi Ming Wei

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

197 Citations (Scopus)

Abstract

In this study, we propose a novel integrated approach incorporating super-efficiency slack-based measure with undesirable outputs, difference-in-difference and propensity score matching difference-in-difference to explore the effects of carbon trading mechanism on green development efficiency in terms of impact direction, impact degree and impact mode. Taking the provincial data of China from 1999 to 2017 as an example, the empirical results show that China's green development efficiencies have upward, downward and U-shaped trends. Carbon trading mechanism, research and development intensity, and pollution control investment have a positive effect on green development efficiency. However, population capital, urbanization and degree of openness have a negative effect on green development efficiency.

Original language	English
Article number	104601
Journal	Energy Economics
Volume	85
DOIs	https://doi.org/10.1016/j.eneco.2019.104601
Publication status	Published - Jan 2020
Externally published	Yes

Keywords

Carbon trading mechanism
Difference-in-difference
Green development efficiency
Propensity score matching difference-in-difference
Super-efficiency slack-based measure with undesirable outputs

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10.1016/j.eneco.2019.104601

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title = "Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach",

abstract = "In this study, we propose a novel integrated approach incorporating super-efficiency slack-based measure with undesirable outputs, difference-in-difference and propensity score matching difference-in-difference to explore the effects of carbon trading mechanism on green development efficiency in terms of impact direction, impact degree and impact mode. Taking the provincial data of China from 1999 to 2017 as an example, the empirical results show that China's green development efficiencies have upward, downward and U-shaped trends. Carbon trading mechanism, research and development intensity, and pollution control investment have a positive effect on green development efficiency. However, population capital, urbanization and degree of openness have a negative effect on green development efficiency.",

keywords = "Carbon trading mechanism, Difference-in-difference, Green development efficiency, Propensity score matching difference-in-difference, Super-efficiency slack-based measure with undesirable outputs",

author = "Bangzhu Zhu and Mengfan Zhang and Liqing Huang and Ping Wang and Bin Su and Wei, \{Yi Ming\}",

note = "Publisher Copyright: {\textcopyright} 2019",

year = "2020",

month = jan,

doi = "10.1016/j.eneco.2019.104601",

language = "English",

volume = "85",

journal = "Energy Economics",

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}

TY - JOUR

T1 - Exploring the effect of carbon trading mechanism on China's green development efficiency

T2 - A novel integrated approach

AU - Zhu, Bangzhu

AU - Zhang, Mengfan

AU - Huang, Liqing

AU - Wang, Ping

AU - Su, Bin

AU - Wei, Yi Ming

PY - 2020/1

Y1 - 2020/1

N2 - In this study, we propose a novel integrated approach incorporating super-efficiency slack-based measure with undesirable outputs, difference-in-difference and propensity score matching difference-in-difference to explore the effects of carbon trading mechanism on green development efficiency in terms of impact direction, impact degree and impact mode. Taking the provincial data of China from 1999 to 2017 as an example, the empirical results show that China's green development efficiencies have upward, downward and U-shaped trends. Carbon trading mechanism, research and development intensity, and pollution control investment have a positive effect on green development efficiency. However, population capital, urbanization and degree of openness have a negative effect on green development efficiency.

AB - In this study, we propose a novel integrated approach incorporating super-efficiency slack-based measure with undesirable outputs, difference-in-difference and propensity score matching difference-in-difference to explore the effects of carbon trading mechanism on green development efficiency in terms of impact direction, impact degree and impact mode. Taking the provincial data of China from 1999 to 2017 as an example, the empirical results show that China's green development efficiencies have upward, downward and U-shaped trends. Carbon trading mechanism, research and development intensity, and pollution control investment have a positive effect on green development efficiency. However, population capital, urbanization and degree of openness have a negative effect on green development efficiency.

KW - Carbon trading mechanism

KW - Difference-in-difference

KW - Green development efficiency

KW - Propensity score matching difference-in-difference

KW - Super-efficiency slack-based measure with undesirable outputs

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DO - 10.1016/j.eneco.2019.104601

M3 - Article

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SN - 0140-9883

VL - 85

JO - Energy Economics

JF - Energy Economics

M1 - 104601

ER -

Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach

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Keywords

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