Spatio-temporal evolution and influencing factors of carbon emission efficiency in the Yangtze River Delta region at the city scale

SONG Qing, LI Chaoqun, CHEN Junyu

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (6) : 251-262.

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南京林业大学学报（自然科学版）
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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (6) : 251-262. DOI: 10.12302/j.issn.1000-2006.202212021

Spatio-temporal evolution and influencing factors of carbon emission efficiency in the Yangtze River Delta region at the city scale

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Abstract

【Objective】The study explored the spatio-temporal characteristics and influencing factors of carbon emission efficiency in the Yangtze River Delta, to better formulate carbon emission reduction measures for the region according to its actual development conditions, and to promote the coordinated development of the region.【Method】Based on the slacks-based measure(SBM) model of undesired output, the carbon emission efficiency of 41 cities in the Yangtze River Delta were measured and the spatiotemporal characteristics of carbon emission efficiency in the Yangtze River Delta were analyzed through exploratory spatial data analysis. Constructing a spatial econometric model with spatial factors from the three dimensions of scale, structure and technology allowed analysis of the influencing factors of carbon emission efficiency in the Yangtze River Delta. 【Result】Large differences in carbon emission efficiency were evident among 41 cities in the Yangtze River Delta. Imbalance was obvious. The high-value areas of carbon emission efficiency were mainly distributed in the Shanghai and Jiangsu provinces, and the areas with low carbon emission efficiency were concentrated in the Anhui Province, with obvious spatial differences. Carbon emission efficiency showed a strong positive correlation in space, spatial agglomeration was obvious, and spatial agglomeration was mainly H-H and L-L. The scale of economic development and industrial structure had a significant inhibitory effect on the improvement of carbon emissions efficiency, and foreign direct investment had an obvious positive driving effect on carbon emissions efficiency. 【Conclusion】 The effect decomposition results of Spatial Doberman model shows that focusing on the quality of economic development and adjusting the industrial structure is an important way to improve the carbon emission efficiency of cities in the Yangtze River Delta.

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carbon emission efficiency / non-expected outputs / spatio-temporal characteristics / spatial Doberman model(SDM) / Yangtze River Delta region

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SONG Qing , LI Chaoqun , CHEN Junyu. Spatio-temporal evolution and influencing factors of carbon emission efficiency in the Yangtze River Delta region at the city scale[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2023, 47(6): 251-262 https://doi.org/10.12302/j.issn.1000-2006.202212021

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