CO2 EMISSIONS
; INCOME-DISTRIBUTION
; TAX
; TAXATION
; ENERGY
; TRADE
; HOUSEHOLDS
; WELFARE
; PRICES
; POLICY
WOS学科分类:
Economics
WOS研究方向:
Business & Economics
英文摘要:
Based on a Multi-Regional Input-Output (MRIO) model, and combined with the 2012 MRIO table for 30 Chinese provinces, this paper analyzes the distributional impacts of carbon pricing on households within and across Chinese provinces. The results show regressive distributional effects of carbon pricing across provinces, i.e. poor provinces are affected more by the price. Carbon pricing also shows rural-urban regressivity (i.e. rural households are impacted more heavily than urban households) in more than half of the provinces. Within each selected province, carbon pricing has mostly regressive effects, i.e. poorer urban households are more affected than richer urban households in all provinces and poorer rural households more than richer rural households in one third of the provinces. When looking more specifically at direct energy consumption, we find that the carbon pricing on domestic fuels generally shows regressivity, while pricing carbon on transport fuels shows progressivity. In addition, the impact of carbon pricing on residential direct expenditures (mainly on electricity and coal) is the most important contributor to the regional regressivity across provinces. (C) 2019 Elsevier B.V. All rights reserved.
1.China Dev Inst, Postdoctoral Res Working Stn, Shenzhen 518029, Peoples R China 2.Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China 3.Univ Groningen, ESRIG, Ctr Energy & Environm Sci IVEM, NL-9747 AG Groningen, Netherlands 4.Masaryk Univ, Dept Environm Studies, Jostova 10, Brno 60200, Czech Republic 5.Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria 6.Shandong Univ, Inst Blue & Green Dev, Weihai 264209, Peoples R China 7.Univ Maryland, Dept Geog Sci, College Pk, MD 21044 USA 8.Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R China 9.Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China 10.Nagoya Univ, Sch Econ, Nagoya, Aichi 4648601, Japan 11.Hubei Univ Econ, Ctr Hubei Coordinat Innovat Emiss Trading Syst, Wuhan 430205, Hubei, Peoples R China 12.Univ Int Business & Econ, Inst Global Low Carbon Econ, Beijing 100029, Peoples R China
Recommended Citation:
Wang, Qian,Hubacek, Klaus,Feng, Kuishuang,et al. Distributional impact of carbon pricing in Chinese provinces[J]. ENERGY ECONOMICS,2019-01-01,81:327-340