The impact of financial development on carbon emissions: An empirical analysis in China

被引:803
作者
Zhang, Yue-Jun [1 ,2 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Financial development; Carbon emissions; China; FOREIGN DIRECT-INVESTMENT; ENERGY-CONSUMPTION; ECONOMIC-GROWTH; ENVIRONMENTAL-REGULATIONS; DEVELOPING-COUNTRIES; COINTEGRATION; INFERENCE;
D O I
10.1016/j.enpol.2011.02.026
中图分类号
F [经济];
学科分类号
02 ;
摘要
Given the complexity between China's financial development and carbon emissions, this paper uses some econometric techniques, including cointegration theory, Granger causality test, variance decomposition, etc., to explore the influence of financial development on carbon emissions. Results indicate that, first. China's financial development acts as an important driver for carbon emissions increase, which should be taken into account when carbon emissions demand is projected. Second, the influence of financial intermediation scale on carbon emissions outweighs that of other financial development indicators but its efficiency's influence appears by far weaker although it may cause the change of carbon emissions statistically. Third, China's stock market scale has relatively larger influence on carbon emissions but the influence of its efficiency is very limited. This to some extent reflects the relatively lower liquidity in China's stock markets. Finally, among financial development indicators, China's FDI exerts the least influence on the change of carbon emissions, due to its relatively smaller volume compared with GDP; but it is mainly utilized in carbon intensive sectors now, therefore, with the increase of China's FDI in the future, many efforts should be made to adapt its utilizing directions and play its positive role in promoting low-carbon development. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2197 / 2203
页数:7
相关论文
共 34 条
  • [1] [Anonymous], 2004, J FINANC RES
  • [2] [Anonymous], 1996, Working Papers in Econometrics and Applied Statistics
  • [3] BP, 2021, bp Statistical Review of World Energy 2021
  • [4] Caporale G.M., 1999, Journal of Economic Surveys, V13, P3
  • [5] Chen Wenying, 2004, Journal of Tsinghua University (Science and Technology), V44, P744
  • [6] Claessens S., 2007, 89 WORLD BANK
  • [7] A comparison of some common methods for detecting Granger noncausality
    Clarke, JA
    Mirza, S
    [J]. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2006, 76 (03) : 207 - 231
  • [8] Pollution and capital markets in developing countries
    Dasgupta, S
    Laplante, B
    Mamingi, N
    [J]. JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, 2001, 42 (03) : 310 - 335
  • [9] LIKELIHOOD RATIO STATISTICS FOR AUTOREGRESSIVE TIME-SERIES WITH A UNIT-ROOT
    DICKEY, DA
    FULLER, WA
    [J]. ECONOMETRICA, 1981, 49 (04) : 1057 - 1072
  • [10] Du Y.F., 2008, J FINANCIAL THEORY P, V10, P33