“一带一路”重点地区全要素能源效率-测算、分解及影响因素分析

将“一带一路¹”国内重点地区作为研究对象,从“一带”和“一路”角度分析重点地区全要素能源效率.遵循测算、分解及影响因素分析的研究路径,考虑水体和大气污染两方面的三种非期望产出,采用超效率SBM模型测算重点地区2005-2015年的全要素能源效率,以Malmquist指数分解全要素能源效率变动,通过Tobit模型对10种影响因素进行回归分析.研究发现：2005-2015年,“一带一路”重点地区全要素能源效率未见进步.以经济带划分的全要素能源效率存在差异,“一路”地区全要素能源效率最高,“一带一路”重点地区总体次之,“一带”地区最低,分别稳定在0.96,0.82和0.76的水平;大部分重点地区的Malmquist指数大于1,显示生产效率进步,可能存在“回弹效应”;经济发展、产业结构、对外开放和能源价格可以促进重点地区全要素能源效率提高,研究开发、政府干预、生产要素比没有带来正面影响,工业污染显示显著负影响.最终.

Total factor energy efficiency of the regions along the belt and road: Measurement,decomposition and influence factorsanalysis

The total factor energy efficiency (TFEE) of the Belt and Road (B&R) key regions in China are the research objectives. The research scheme consists:measurement, decomposition and influence factors analysis. Three kinds of undesirableoutputs of air and water pollution is considered Firstly, a super-efficiency SBM model was used to measure the TFEE of the key regions during 2005~2015. Then, a Malmquist index was applied to analyze the TFEE changes. Finally, a Tobit model was applied to analyze10 influence factors. The results showed that, during 2005~2015, no significant progress is found in the TFEE of key regions; and there existed difference in the TFEE with different economic belts:"the road" key regions had the highest TFEE, followed by the whole key regions, and "the belt" key regions had the lowest TFEE. The TFEE of them are stabled at 0.96, 0.82 and 0.76 level. The Malmquist index of most of the key regions is larger than 1, indicating that the productivity has improved but there may be the rebound effect. In addition, we found that, economic development, industrial structure, opening-up and energy price were the major positive influence factors of TFEE; while research and development, government intervention, productive factor proportion and industrial pollution were the major negative influence factors of TFEE.