Spatiotemporal differentiation and influencing factors of forestry production efficiency with carbon sequestration in China under the context of carbon neutrality

doi:10.12302/j.issn.1000-2006.202312007

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2025, Vol. 49 ›› Issue (3): 254-264.doi: 10.12302/j.issn.1000-2006.202312007

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Spatiotemporal differentiation and influencing factors of forestry production efficiency with carbon sequestration in China under the context of carbon neutrality

SHI Wei¹(), ZHAO Sixue¹, QIAO Fuwei², AN Yi¹, WANG Weijuan¹, ZHANG Guowei¹

1. College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
2. School of Economics, Northwest Normal University, Lanzhou 730070, China

Received:2023-12-05 Accepted:2023-12-29 Online:2025-05-30 Published:2025-05-27

Abstract

Abstract:

【Objective】This study aims to investigate the production efficiency of carbon sequestration forestry and identify its key influencing factors. This exploration serves as a crucial foundation for the high-quality development of forestry in China. It not only provides essential insights for formulating differentiated forestry development policies but also facilitates the optimal allocation of forestry resources and promotes coordinated and balanced regional development across the country.【Method】The economic value and efficiency levels of carbon sequestration forestry in 31 provinces of China from 2003 to 2018 were evaluated using the volume expansion method, SBM model, Dagum Gini coefficient, and Tobit model. Building on this analysis, the study delved into the dynamic changes in comprehensive efficiency, pure technical efficiency, and scale efficiency, as well as their spatiotemporal differentiation. Additionally, the key influencing factors were systematically explored.【Result】The findings revealed that China’s forestry carbon sequestration storage level was relatively high, with Xizang, Sichuan, and Yunnan being the top three provincial area in terms of forestry carbon sequestration economic value. Comprehensive efficiency, pure technical efficiency, and scale efficiency exhibited significant regional disparities and demonstrated distinct spatial agglomeration characteristics. Both inter-regional and intra-regional differences were identified as the primary sources of regional variations in the production efficiency of carbon sequestration forestry in China. The proportion of forestry output value and investment in forestry human capital were found to positively influence the production efficiency of China’s carbon sequestration forestry, whereas per capita GDP and the incidence of forest diseases, pests, and rodents exerted a restraining effect.【Conclusion】China’s forestry development can achieve high-quality growth in carbon sequestration forestry by enhancing the efficient utilization of forestry resources, reducing regional efficiency disparities, and addressing key influencing factors. This approach will contribute to the sustainable and balanced advancement of the forestry sector.

Key words: carbon sequestration forestry, production efficiency, SBM model, Dagum Gini coefficient, Tobit model

CLC Number:

S7-9

SHI Wei, ZHAO Sixue, QIAO Fuwei, AN Yi, WANG Weijuan, ZHANG Guowei. Spatiotemporal differentiation and influencing factors of forestry production efficiency with carbon sequestration in China under the context of carbon neutrality[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2025, 49(3): 254-264.

Figures/Tables 9

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省域 provincial area	森林蓄积量/ ×10⁴ m³ forest stock	碳汇量/ ×10⁸t carbon sinks	碳汇价值/ ×10⁸元 the value of carbon sinks	排序 rank
北京Beijing	1 347.31	0.16	10.19	28
天津Tianjing	283.73	0.03	2.17	30
河北Hebei	9 242.76	1.07	72.06	23
山西Shanxi	8 626.60	1.00	67.16	24
内蒙古Inner Mongoria	123 887.81	14.36	990.81	5
辽宁Liaoning	22 102.24	2.56	174.63	17
吉林Jilin	88 462.87	10.25	710.67	6
黑龙江Heilongjiang	156 940.69	18.19	1 253.33	4
上海Shanghai	173.28	0.02	1.20	31
江苏Jiangsu	4 166.38	0.48	32.50	26
浙江Zhejiang	18 113.07	2.10	140.09	19
安徽Anhui	14 732.27	1.71	115.24	20
福建Fujian	53 645.53	6.22	425.22	7
江西Jiangxi	36 580.01	4.24	291.20	10
山东Shandong	5 690.98	0.66	44.66	25
河南Henan	12 869.21	1.49	100.34	21
湖北Hubei	23 447.84	2.72	182.01	15
湖南Hunan	30 059.98	3.48	239.22	13
广东Guangdong	32 632.53	3.78	258.30	11
广西Guangxi	45 716.61	5.30	358.86	8
海南Hainan	9 513.04	1.10	73.01	22
重庆Chongqing	14 590.34	1.69	180.87	16
四川Sichuan	162 066.01	18.78	1 301.38	2
贵州Guizhou	25 276.31	2.93	196.86	14
云南Yunnan	158 717.28	18.39	1 266.35	3
西藏Xizang	201 601.32	23.36	1 663.19	1
陕西Shaanxi	37 125.18	4.30	293.96	9
甘肃Gansu	20 337.24	2.36	161.81	18
青海Qinghai	4 014.59	0.47	32.15	27
宁夏Ningxia	618.41	0.07	4.78	29
新疆Xinjiang	31 579.31	3.66	252.12	12
合计total	1 354 160.68	156.92	10 896.34

解释变量 explanatory variables	回归系数 regression coefficients	标准误差 standard error	t	P
X₁	-0.043^**	0.040	-1.610	0.002
X₂	0.080	0.056	0.840	0.159
X₃	0.046^**	0.005	2.680	<0.001
X₄	-0.017^**	0.029	-0.570	0.001
X₅	0.014^*	0.082	1.630	0.045
Cons	0.092	0.579	1.950	0.692

Spatiotemporal differentiation and influencing factors of forestry production efficiency with carbon sequestration in China under the context of carbon neutrality

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