贵州财经大学学报 ›› 2026 ›› Issue (01): 12-21.

• 青年财经论坛 • 上一篇    

新质生产力的资源消耗脱钩效应研究

范馨月, 王佳宜   

  1. 贵州财经大学 经济学院, 贵州 贵阳 550025;
    贵州民族大学 教育评估中心, 贵州 贵阳 550025
  • 收稿日期:2024-06-03 发布日期:2026-01-22
  • 作者简介:范馨月(1981—),女,吉林吉林人,贵州财经大学经济学院助理研究员,贵州绿色发展战略高端智库特聘研究员,研究方向为中国农村经济、环境经济与经济史;王佳宜(1990—),女,江西九江人,博士,贵州民族大学教育评估中心讲师,研究方向为农村资源环境与可持续发展。
  • 基金资助:
    2021年贵州省研究生教育创新计划项目研究成果“乡村振兴中耕地细碎化的历史蝶变和实践方法研究”(黔教合YJSKYJJ[2021]123)。

Research on the decoupling effect of resource consumption in new quality productivity

FAN Xinyue, WANG Jiayi   

  1. School of Economics, GuiZhou University of Finance and Economics, GuiYang, Guizhou 550025, China;
    Education Assessment Centre, Guizhou Minzu University, GuiYang, Guizhou 550025, China
  • Received:2024-06-03 Published:2026-01-22

摘要: 新质生产力是摆脱传统增长路径、更加符合新发展理念的先进生产力,在发展过程中不断与资源消耗脱钩,为经济社会发展绿色化、低碳化提供新动能。不同于已有研究多关注新质生产力发展水平的测度及其影响效应,文章在测算其水平的基础上,重点探讨新质生产力的资源消耗脱钩效应。基于中国2011—2022年30个省级行政区域的面板数据,采用熵权TOPSIS法测度新质生产力发展水平,进一步使用Tapio弹性脱钩模型、LMDI分解模型测算新质生产力与资源消耗的脱钩水平及驱动因素。结果显示,研究期内全国及各省级行政区域新质生产力发展水平在T1-T4时期呈稳步上升态势,且呈现东部>中部>东北>西部的地区差异化格局。脱钩分析证实,省份之间新质生产力与资源消耗的脱钩状态存在明显差异,北京、天津、上海、江苏、浙江、广东均已达到强脱钩状态;贵州、云南、陕西、青海、宁夏、新疆处于增长联结状态;其余18个省区市处于弱脱钩状态。脱钩驱动因子分解发现,数字经济发展、绿色技术创新、战略性新兴产业集聚、环境规制是新质生产力与资源消耗脱钩的四大驱动因子,且环境规制在脱钩过程中发挥主要驱动作用。基于上述结论,提出因地制宜发展新质生产力、制定绿色技术创新发展规划、灵活运用环境规制组合形式等建议,为加速推动新质生产力发展、推动资源消耗脱钩提供有益参考。

关键词: 新质生产力, 资源消耗脱钩, 战略性新兴产业集聚, 绿色技术创新, 环境规制

Abstract: New quality productivity are advanced productivity that break away from traditional growth paths and are more in line with new development concepts, it continuously decouple from resource consumption in the process of development, providing new momentum for the green and low-carbon economic and social development. Different from the perspectives of existing research on measuring the development level and impact effects of new quality productivity,it focuses on exploring the decoupling effect of resource consumption of new quality productivity based on the measurement of their level. Based on panel data from 30 provincial-level administrative regions in China from 2011 to 2022, the entropy weight TOPSIS method is used to measure the development level of new quality productivity, and the Tapio elastic decoupling model is further used The LMDI decomposition model calculates the decoupling level and driving factors between new quality productivity and resource consumption. The results showed that during the research period, the development level of new quality productivity in the national and provincial-level administrative regions showed a steady upward trend during the T1-T4 period, and showed a differentiated pattern of eastern>central>northeast>western regions. Decoupling analysis confirms that there are significant differences in the decoupling status between new quality productivity and resource consumption among provinces, with Beijing, Tianjin, Shanghai, Jiangsu, Zhejiang, and Guangdong all reaching strong decoupling status. Guizhou, Yunnan, Shaanxi, Qinghai, Ningxia and Xinjiang are in a growth linkage state. The remaining 18 provinces, cities, and autonomous regions are in a weak decoupling state. The decomposition of decoupling driving factors reveals that digital economy development, green technology innovation, strategic emerging industry agglomeration, and environmental regulation are the four major driving factors for the decoupling of new quality productivity and resource consumption, and environmental regulation plays a major driving role in the decoupling process. Based on the above conclusions, suggestions are proposed to develop new quality productivity according to local conditions, draw a blueprint for green technology innovation and development, and flexibly apply environmental regulation combinations, so as to provide useful references for accelerating the development of new quality productivity and promote resource consumption decoupling.

Key words: new quality productivity, decoupling of resource consumption, strategic emerging industry agglomeration, green technology innovation, environmental regulation

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