我国城市绿色全要素生产率测度与时空演变研究

Research on the Measurement and Spatio-temporal Evolution of China's Urban Green Total Factor Productivity

中文关键词:  城市绿色全要素生产率  Super-SBM模型  时空演变

英文关键词:Urban green total factor productivity  Super-SBM model  Space-time evolution

中文摘要:

      目前，我国加快绿色、低碳化高质量发展的窗口期已然到来，以绿色发展理念引领高质量发展是美丽中国建设的必由之路。绿色全要素生产率（GTFP）作为我国高质量发展阶段体现经济发展与环境保护协调关系的核心指标，科学测算城市GTFP并分析其时序、空间分布特征与驱动要素对于推动经济社会绿色转型和美丽中国建设具有重要意义。本文通过构建包含非期望产出的Super-SBM模型与Malmquist-Luenberger（ML）指数测算我国2013-2022年283个地级市的GTFP，结合核密度估计和莫兰指数探讨其时空分布特征。最后，对城市GTFP进行分解以识别驱动要素。研究发现：（1）2013-2022年全国城市GTFP呈现总体水平不断上升与局部差异增大并存的时序分布趋势，且不同区域、流域城市GTFP发展水平具有不同特点。（2）城市GTFP具有显著的“高高聚集、低低聚集”的空间分布特征。（3）我国城市GTFP呈现以技术进步为主导、技术效率为辅助的驱动增长特征。最后基于研究结论提出政策建议，为提高城市GTFP、推动经济社会高质量发展提供有益参考。

英文摘要:

      At present, the window period for China to accelerate green, low-carbon and high-quality development has arrived, and leading high-quality development with green development concept is the only way to build a beautiful China. Green total factor productivity (GTFP) is a core indicator that reflects the coordinated relationship between economic development and environmental protection in China's high-quality development stage. Scientifically measuring urban GTFP and analyzing its temporal, spatial distribution characteristics and driving factors are of great significance for promoting the green transformation of the economy and society and building a beautiful China. This paper calculates the GTFP of 283 prefecture-level cities in China from 2013 to 2022 by constructing a Super-SBM model and Malmquist-Luenberger (ML) index that includes undesired output. Next, kernel density estimation and Moran index are used to explore its spatiotemporal distribution characteristics. Finally, the urban GTFP is decomposed to identify driving factors. The study found that:（1）From 2013 to 2022, China's urban GTFP showed a temporal distribution trend of increasing overall level and increasing local differences, and the GTFP development level of cities in different regions and river basins had different characteristics.（2）The urban GTFP has a significant spatial distribution feature of "high-high concentration and low-low concentration".（3）China's urban GTFP is characterized by growth driven by technological progress as the main driver and technological efficiency as the auxiliary driver. Finally, based on the research conclusions, policy recommendations are put forward to provide useful reference for improving the GTFP of Chinese cities and promoting high-quality economic and social development.