Province-level Convergence of China CO2 Emission Intensity: A Spatial Dynamic Panel Data Analysis

نویسندگان

  • Xueting Zhao
  • J. Wesley Burnett
  • Donald J. Lacombe
چکیده

This study offers a unique contribution to the literature by investigating the convergence of province-level carbon dioxide emission intensity among a panel of 30 provinces in China over the period 1990-2010. We use a novel, spatial dynamic panel data model to test the hypotheses of absolute beta convergence and conditional beta convergence. Our results suggest: (1) CO2 emission intensities are converging across provinces in China; (2) the rate of conditional beta convergence is higher than the rate of absolute beta convergence; (3) province-level CO2 emission intensities are spatially correlated, and the rate of convergence, when controlling for spatial autocorrelation, is higher than with the non-spatial models; and, (4) the rate of convergence is affected by the ratio of coal consumption to total energy consumption, secondary industry output value to the total industry output value, and province-level energy intensity.

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تاریخ انتشار 2013