资源与产业 ›› 2023, Vol. 25 ›› Issue (1): 14-26.DOI: 10.13776/j.cnki.resourcesindustries.20220630.001

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黄河流域工业绿色低碳转型与经济高质量发展耦合协调研究

田 泽,肖玲颖,梁 伟,任阳军   

  1. (河海大学 商学院,江苏 南京 211100
  • 收稿日期:2021-12-22 修回日期:2022-05-10 出版日期:2023-02-20 发布日期:2023-02-09
  • 通讯作者: 肖玲颖,硕士生,主要从事低碳经济研究。Email:2403067185@qq.com
  • 作者简介:田泽,博士、教授,主要从事低碳经济政策与国际贸易投资研究。Email:tianze21@126.com
  • 基金资助:
    2021国家社科基金后期资助项目(21FJYB047);中央高校基本科研业务专项资助(B210207018,B220207035)。

COUPLING COORDINATION BETWEEN INDUSTRIAL GREEN LOW-CARBON TRANSFORMATION AND QUALITY ECONOMIC DEVELOPMENT IN YELLOW RIVER STREAM

TIAN Ze, XIAO Lingying, LIANG Wei, REN Yangjun   

  1. (Business School, Hohai University, Nanjing 211100, China)
  • Received:2021-12-22 Revised:2022-05-10 Online:2023-02-20 Published:2023-02-09

摘要: 在黄河流域生态保护和高质量发展大背景下,研究黄河流域工业绿色低碳转型与经济高质量发展耦合协调关系,对于推动黄河流域工业绿色低碳转型与经济高质量协调发展,实现黄河流域生态保护与高质量发展具有重要的现实价值。本文运用时空极差熵权法分别测算黄河流域2009—2019年工业绿色低碳转型与经济高质量发展水平,利用修正的耦合协调模型计算二者的协调发展度,采用Dagum基尼系数及分解方法对工业绿色低碳转型与经济高质量发展协调度的区域差异进行测算与分解,并运用kernel密度估计方法研究其动态分布特征。结果显示:1)黄河流域工业绿色低碳转型与经济高质量发展水平分别为0449和0.490,年均增长率为5.84%和7.1%,总体呈上升趋势,工业绿色低碳转型和经济高质量发展均取得一定进展,但工业绿色低碳转型明显滞后于经济高质量发展;2)黄河流域工业绿色低碳转型与经济高质量发展协调度水平不高,均值水平为0.55,但在样本考察期内呈上升趋势,年均增长率为3.2%,2019年达到0.629,由濒临失调阶段最终转向初级协调阶段,说明二者开始实现协调发展;3)黄河流域工业绿色低碳转型与经济高质量发展协调度呈现出较为明显的非同步发展特征,耦合协调度均值水平表现为“下游领先、中游居中、上游落后”的空间分布特征,分别为0.59、0.561和0.529;4)黄河流域工业绿色低碳转型与经济高质量发展协调度空间差异总体表现为缩小趋势,区域间差异是二者协调度空间差异的最主要来源,其贡献率均值高达46.97%,其次是区域内差异,贡献率均值为33.54%。据此提出打造区域绿色低碳产业体系、探索差异化政策和强化全流域协同合作发展等建议。

关键词: 工业绿色低碳转型, 经济高质量发展, 修正耦合协调模型, 黄河流域

Abstract: Yellow River stream is entering a period of ecological protection and quality development. Study on the coupling coordination between its industrial green low-carbon transformation and quality economic development is of significance in reaching the goals. This paper applies temporal-spatial range entropy weights to estimate Yellow River stream’s 2009 to 2019 industrial green low-carbon transformation and quality economic development levels, and uses calibrated coupling coordination model to measure their coordination, and employs Dagum Gini coefficient and decomposition to study the regional variance between industrial green low-carbon transformation and quality economic development with Kernel density estimation dispatched to study its dynamics. Its industrial green low-carbon transformation level is at 0.449, and quality economic development level at 0.490, with annual growth rate at 5.84% and 7.1%, respectively, overall in a upgrading trend, but industrial green low-carbon transformation is notably behind its quality economic development. Their coordination level is low at 0.55, with annual growth rate at 3.2%, 0.629 in 2019, a turning point from off coordinated to preliminarily coordinated. The both are not at the same pace in coordination with coupling coordination showing a spatial distribution of “high-in-lower stream, middle-in-middle stream and low-in-upper stream”, 0.59, 0.561 and 0.529, respectively. Their overall spatial variance is diminishing, primarily contributed by their regional variance with a contributing value at 46.97%, secondarily by the internal variance with a contributing value at 33.54%. This paper presents suggestions on constructing regional green low-carbon industrial system, exploring differentiated policies and boosting trans-stream cooperation.

Key words: industrial green low-carbon transformation, quality economic development, calibrated coupling coordination model, Yellow River Stream

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