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中国林业碳汇效率评价分析
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Abstract:
研究林业碳汇的投入产出效率有利于实现林业碳汇资源优化配置，提高碳汇产出水平。首先采用蓄积量扩展法测算了中国29个省(市、区)2004~2022年的林业碳汇量，其次基于DEA-BCC模型Malmquist模型，对林业碳汇效率进行了静态效率测量和动态演进过程分析。结果表明：中国林业碳汇效率总体较低，规模效率是制约综合效率提升的主要因素；生产要素指数波动上升，技术效率变化指数和技术进步指数共同促进了生产要素指数的提高。四大林区的林业碳汇效率由高到低依次为南方林区 > 北方林区 > 西南林区 > 东北林区。为此建议：转换林业碳汇粗放型增长方式；推广规模化经营模式；统筹发展战略，因地制宜提升碳汇效率。
Studying the input-output efficiency of forestry carbon sinks is conducive to realizing the optimal allocation of forestry carbon sink resources and improving the output level of carbon sinks. Firstly, the forestry carbon sinks of 29 provinces (cities and districts) in China from 2004 to 2023 were measured by the accumulation expansion method, and secondly, based on the DEA-BCC model and Malmquist model, the forestry carbon sink efficiency was analyzed in terms of the static efficiency measurement and the dynamic evolution process. The results show that: China’s forestry carbon sink efficiency is generally low, and scale efficiency is the main factor restricting the improvement of comprehensive efficiency; the index of production factors fluctuates and rises, and the index of technical efficiency change and the index of technological progress jointly promote the improvement of the index of production factors. The efficiency of forestry carbon sinks in the four major forest regions is, in descending order, Southern Forestry Region > Northern Forestry Region > Southwestern Forestry Region > Northeastern Forestry Region. It is recommended to transform the crude growth mode of forestry carbon sinks; promote the large-scale operation mode; and integrate the development strategy to improve the efficiency of carbon sinks according to local conditions.
| [1] | Galeotti, M., Lanza, A. and Pauli, F. (2006) Reassessing the Environmental Kuznets Curve for CO2 Emissions: A Robustness Exercise. Ecological Economics, 57, 152-163. https://doi.org/10.1016/j.ecolecon.2005.03.031 |
| [2] | Shevliakova, E., Stouffer, R.J., Malyshev, S., Krasting, J.P., Hurtt, G.C. and Pacala, S.W. (2013) Historical Warming Reduced Due to Enhanced Land Carbon Uptake. Proceedings of the National Academy of Sciences, 110, 16730-16735. https://doi.org/10.1073/pnas.1314047110 |
| [3] | Chen, J., Xu, C., Wang, Y., Li, D. and Song, M. (2021) Carbon Neutrality Based on Vegetation Carbon Sequestration for China’s Cities and Counties: Trend, Inequality and Driver. Resources Policy, 74, Article 102403. https://doi.org/10.1016/j.resourpol.2021.102403 |
| [4] | Zhao, N., Wang, K. and Yuan, Y. (2023) Toward the Carbon Neutrality: Forest Carbon Sinks and Its Spatial Spillover Effect in China. Ecological Economics, 209, Article 107837. https://doi.org/10.1016/j.ecolecon.2023.107837 |
| [5] | 徐思若, 成志影, 那雪迎, 等. 黑龙江省森林碳汇及其经济价值的变化分析与潜力预测[J]. 生态学杂志, 2024, 43(1): 197-205. |
| [6] | Wang, J., Shi, K. and Hu, M. (2022) Measurement of Forest Carbon Sink Efficiency and Its Influencing Factors Empirical Evidence from China. Forests, 13, Article 1909. https://doi.org/10.3390/f13111909 |
| [7] | 宋平, 赵荣, 胡利娟, 等. 推动“双碳”目标实现的林业碳汇科学传播策略[J]. 世界林业研究, 2023, 36(2): 89-94. |
| [8] | 杜之利, 苏彤, 葛佳敏, 等. 碳中和背景下的森林碳汇及其空间溢出效应[J]. 经济研究, 2021, 56(12): 187-202. |
| [9] | 张启航, 张亚连, 谭桂菲, 等. 中国林业碳汇效率时空演化特征——基于三阶段超效率SBM-DEA模型[J]. 生态学报, 2024(15): 1-14. |
| [10] | 舒明远, 吴家治, 李晨阳, 等. 天保工程区森林碳汇效率演进分析[J]. 林业经济问题, 2022, 42(5): 490-497. |
| [11] | Fang, J., Wang, G.G., Liu, G. and Xu, S. (1998) Forest Biomass of China: An Estimate Based on the Biomass-Volume Relationship. Ecological Applications, 8, 1084-1091. https://doi.org/10.1890/1051-0761(1998)008[1084:fbocae]2.0.co;2 |
| [12] | 郗婷婷, 李顺龙. 黑龙江省森林碳汇潜力分析[J]. 林业经济问题, 2006(6): 519-522+526. |
| [13] | 张颖, 李晓格, 温亚利. 碳达峰碳中和背景下中国森林碳汇潜力分析研究[J]. 北京林业大学学报, 2022, 44(1): 38-47. |
| [14] | 金哲丽, 曹冰玉. 基于DEA模型的湖南省林业投资效率分析[J]. 中南林业科技大学学报(社会科学版), 2020, 14(2): 89-95. |
| [15] | 张译, 熊曦. 绿色发展背景下中国林业生态效率评价及影响因素实证分析——基于DEA分析视角[J]. 中南林业科技大学学报, 2020, 40(4): 149-158. |
| [16] | 徐玮, 白静, 包庆丰. 内蒙古林业生产技术效率及其影响因素的实证研究——基于随机前沿生产函数[J]. 林业经济, 2017, 39(12): 89-94+112. |
| [17] | 吕洁华, 付思琦, 张滨. 黑龙江省国有重点林区林业经济投入产出效率研究[J]. 林业经济问题, 2019, 39(3): 300-306. |
| [18] | 吕洁华, 孙嘉宇, 蔡秀亭. 中国林业绿色全要素生产率的时空演变分析[J]. 农林经济管理学报, 2022, 21(3): 320-330. |
| [19] | 余红红, 杨加猛. 我国森林生态效率测算及时空演变分析[J]. 南京林业大学学报(自然科学版), 2023, 47(2): 167-177. |
| [20] | 薛龙飞, 罗小锋, 吴贤荣. 中国四大林区固碳效率: 测算、驱动因素及收敛性[J]. 自然资源学报, 2016, 31(8): 1351-1363. |
| [21] | He, X., Chen, L. and Huang, Y. (2022) A Study of Forest Carbon Sink Increment from the Perspective of Efficiency Evaluation Based on an Inverse DEA Model. Forests, 13, Article 1563. https://doi.org/10.3390/f13101563 |
| [22] | Vilkov, A. and Tian, G. (2024) Efficiency Evaluation of Forest Carbon Sinks: A Case Study of Russia. Forests, 15, Article 649. https://doi.org/10.3390/f15040649 |
| [23] | 姚仁福, 边文燕, 范宏琳, 等. 中国省域森林碳汇效率演进分析[J]. 林业经济问题, 2021, 41(1): 51-59. |
| [24] | 黄衍, 陈丽烨, 吴楠, 等. 基于效率补偿机制的区间标杆面研究——以森林碳汇效率为例[J]. 中国管理科学, 2023, 31(12): 317-328. |
| [25] | Zhang, Z., Liu, Y.Y., Ding, W.M., et al. (2013) Measurement and Optimum Design of the Carbon Sequestration Efficiency of Regional Forestland Use Process. Editorial Office of Transactions of the Chinese Society of Agricultural Engineering, 18, 251-261. |
| [26] | Wei, J. and Shen, M. (2022) Analysis of the Efficiency of Forest Carbon Sinks and Its Influencing Factors—Evidence from China. Sustainability, 14, Article 11155. https://doi.org/10.3390/su141811155 |
| [27] | UNFCCC (2000) Methodological Issues, Land-Use, Land-Use Change and Forestry, Submissions from Parties. SBSTA 13th Session, Lyon, 11-15 September 2000. |
| [28] | 杨吉. “双碳”背景下我国林业碳汇经济效率评价及影响因素[J]. 中南林业科技大学学报, 2024, 44(8): 201-208. |
| [29] | 李文博, 刘滨, 余松, 等. 江西省林业产业投入产出效率评价[J]. 江西农业学报, 2021, 33(5): 131-137. |
| [30] | 张娟, 陈钦. 森林碳汇经济价值评估研究——以福建省为例[J]. 西南大学学报(自然科学版), 2021, 43(5): 121-128. |
| [31] | 杨仙艳, 邓思宇, 刘伟平. 基于DEA方法的福建林业投入产出效率分析——以福建省10县210户农户调研数据为例[J]. 中国林业经济, 2017(2): 1-5. |
| [32] | 张亚连, 张启航, 梁旭文. 碳中和愿景下林业碳汇经济价值评估及效率测算[J]. 中南林业科技大学学报(社会科学版), 2024, 18(1): 71-81. |
