Evaluating Regional Carbon Inequality and Its Dependence with Carbon Efficiency: Implications for Carbon Neutrality

This paper proposes a novel regional carbon emission inequality (RCI) index based on a special kind of general distribution. Using the proposed RCI index and based on China’s county-level panel data over the time span of 1997–2017, the regional carbon emission inequality of China is evaluated at int...

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Main Authors: Jingyu Ji, Hang Lin
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/19/7022
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author Jingyu Ji
Hang Lin
author_facet Jingyu Ji
Hang Lin
author_sort Jingyu Ji
collection DOAJ
description This paper proposes a novel regional carbon emission inequality (RCI) index based on a special kind of general distribution. Using the proposed RCI index and based on China’s county-level panel data over the time span of 1997–2017, the regional carbon emission inequality of China is evaluated at intra-provincial, sub-national, and national levels. Based on that, the dependence between regional carbon inequality and carbon efficiency is studied by using copula functions and nonlinear dependence measures. The empirical results show that: (1) Shanghai, Tianjin, and Inner Mongolia have the worst carbon inequalities; while Hainan, Qinghai, and Jiangxi are the three most carbon-equal provinces; (2) there is a divergence phenomenon in RCI values of municipalities over the past decade; (3) from the national-level perspective, the inter-provincial carbon emission inequality is much greater than that at the intra-provincial level; (4) from the sub-national-level perspective, the east region has the highest RCI value, followed by the northeast, west, and the central regions; (5) there is a so-called "efficiency-equality (E-E) trade-off" in each provincial administrative unit, meaning that the higher carbon efficiency generally comes with higher carbon inequality, i.e., carbon efficiency comes at a price of carbon inequality; and (6) by re-grouping provincial units via the efficiency-equality cost and industrial structure, respectively, both carbon equality and carbon efficiency can be achieved in some regions simultaneously, thereby getting out of the “E-E trade-off” dilemma. The empirical evidence may provide valuable insight regarding the topic of “equality and efficiency” in environmental economics, and offer policy implications for regional economic planning and coordination.
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spelling doaj.art-1403eee0a4314a90850d9d0e6bd531c02023-11-23T20:11:51ZengMDPI AGEnergies1996-10732022-09-011519702210.3390/en15197022Evaluating Regional Carbon Inequality and Its Dependence with Carbon Efficiency: Implications for Carbon NeutralityJingyu Ji0Hang Lin1School of Data Science, Fudan University, Shanghai 200433, ChinaDepartment of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USAThis paper proposes a novel regional carbon emission inequality (RCI) index based on a special kind of general distribution. Using the proposed RCI index and based on China’s county-level panel data over the time span of 1997–2017, the regional carbon emission inequality of China is evaluated at intra-provincial, sub-national, and national levels. Based on that, the dependence between regional carbon inequality and carbon efficiency is studied by using copula functions and nonlinear dependence measures. The empirical results show that: (1) Shanghai, Tianjin, and Inner Mongolia have the worst carbon inequalities; while Hainan, Qinghai, and Jiangxi are the three most carbon-equal provinces; (2) there is a divergence phenomenon in RCI values of municipalities over the past decade; (3) from the national-level perspective, the inter-provincial carbon emission inequality is much greater than that at the intra-provincial level; (4) from the sub-national-level perspective, the east region has the highest RCI value, followed by the northeast, west, and the central regions; (5) there is a so-called "efficiency-equality (E-E) trade-off" in each provincial administrative unit, meaning that the higher carbon efficiency generally comes with higher carbon inequality, i.e., carbon efficiency comes at a price of carbon inequality; and (6) by re-grouping provincial units via the efficiency-equality cost and industrial structure, respectively, both carbon equality and carbon efficiency can be achieved in some regions simultaneously, thereby getting out of the “E-E trade-off” dilemma. The empirical evidence may provide valuable insight regarding the topic of “equality and efficiency” in environmental economics, and offer policy implications for regional economic planning and coordination.https://www.mdpi.com/1996-1073/15/19/7022carbon emissionregional carbon inequalitycarbon efficiencycarbon neutralityasymmetric distributionnonlinear dependence
spellingShingle Jingyu Ji
Hang Lin
Evaluating Regional Carbon Inequality and Its Dependence with Carbon Efficiency: Implications for Carbon Neutrality
Energies
carbon emission
regional carbon inequality
carbon efficiency
carbon neutrality
asymmetric distribution
nonlinear dependence
title Evaluating Regional Carbon Inequality and Its Dependence with Carbon Efficiency: Implications for Carbon Neutrality
title_full Evaluating Regional Carbon Inequality and Its Dependence with Carbon Efficiency: Implications for Carbon Neutrality
title_fullStr Evaluating Regional Carbon Inequality and Its Dependence with Carbon Efficiency: Implications for Carbon Neutrality
title_full_unstemmed Evaluating Regional Carbon Inequality and Its Dependence with Carbon Efficiency: Implications for Carbon Neutrality
title_short Evaluating Regional Carbon Inequality and Its Dependence with Carbon Efficiency: Implications for Carbon Neutrality
title_sort evaluating regional carbon inequality and its dependence with carbon efficiency implications for carbon neutrality
topic carbon emission
regional carbon inequality
carbon efficiency
carbon neutrality
asymmetric distribution
nonlinear dependence
url https://www.mdpi.com/1996-1073/15/19/7022
work_keys_str_mv AT jingyuji evaluatingregionalcarboninequalityanditsdependencewithcarbonefficiencyimplicationsforcarbonneutrality
AT hanglin evaluatingregionalcarboninequalityanditsdependencewithcarbonefficiencyimplicationsforcarbonneutrality