| Industrial sectors occupy an important position in China’s economic growth, energy consumption and carbon emissions. In response to global climate change and transformation of economic growing mode, China’s industrial growth must steer from input-driven mode to innovation-driven and efficiency-oriented mode, and enhance the contribution of green TFP to industrial growth, in order to make technological progress and technical efficiency play a central role in the low-carbon industrial transition.With energy consumption and carbon emissions incorporated into the framework of TFP calculation, a non-parametric frontier analysis approach is employed to measure and decompose sub-industrial and provincial industrial green TFP from1998to2010in China. Empirical tests are performed about the impact of some key influencing factors on industrial green TFP. Finally, the impact of industrial green TFP on industrial carbon productivity is also tested. The major innovation and conclusions are listed as follows:(1) Metafrontier-Malmquist-Luenberger index approach is applied to measure provincial industrial green TFP growth and its components. Eastern industrial green TFP growth is significantly faster than the central and western regions, and demonstrates a trend of regional club convergence. Provincial industrial growth is mainly from the inputs of labor, capital and energy while green TFP has not yet become the major driving power of industrial growth. The industrial green TFP growth is mainly driven by technological progress, which shows efficiency improvement will be a more effective way to promote provincial industrial green TFP in the future.(2) Malmquist-Luenberger index and global DEA approaches are employed to measure subindustrial green TFP growth and its components. Subindustrial green TFP shows a growing trend on the whole, while the TFP index of light industry is higher than that of heavy industry and the gap among subindustries is widening. Subindustrial green TFP is mainly derived from technological progress and drawn back by efficiency change. The efficiency change of the light industry plays a stronger dragging effect than heavy industry on industrial green TFP.(3) Two-way fixed effect model based on panel data is used to analyze the influencing path and effect of some economic factors on the provincial industrial green TFP. The level of economic development promotes provincial industrial green TFP growth through efficiency change and technological progress. Capital deepening pushes forward technology progress but draw back efficiency improvement. Fiscal decentralization places a significantly negative effect on efficiency change and green TFP. State-owned enterprises play a significantly negative impact on technological advance and green TFP. FDI shows a positive but not significant effect on industrial green TFP. Energy price change is conducive to technological progress and not conducive to efficiency change. Government intervention is not conducive to technological progress and green TFP. Large and medium-sized enterprises significantly promote technological progress and green TFP.(4) Quantile regression and static panel model are utilized to analysize the impact of influencing factors on subindustrial green TFP. The average size of the enterprises within a subindustry has a significantly positive effect on technological progress and green TFP, but its positive effect on efficiency change is not significant. Industrial concentration degree has a significantly positive correlation with technological progress and green TFP, but has a significantly negative correlation with efficiency change. Capital deepening shows a negative but insignificant impact on efficiency change and a significantly negative impact on technological progress, thereby inhibiting the subindustrial green TFP growth. The negative impact of FDI on technical efficiency is not significant but its negative impact on technological progress and green TFP growth is significant. Coal consumption acts as a positive contributor to both efficiency change and green TFP.(5) Industrial carbon productivity is calculated respectively from subindustrial and provincial level, and the influencing effect and path of industrial green TFP is estimated on industrial carbon productivity. The industrial carbon productivity shows a constantly rising trend, but subindustrial and provincial differences are widening. Efficiency improvement and technological progress respectively play a significantly positive role in industrial carbon productivity growth, but the effect of efficiency change is stronger than technological progress on industrial carbon productivity. |
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