Evaluation of the efficiency of state forestry investment in China from the perspective of carbon sequestration: A case study in 20 provinces

IF 7.1 Q1 ECOLOGY
生态学报 Pub Date : 2023-12-01 Epub Date: 2022-12-20 DOI:10.1016/j.chnaes.2022.12.001
Lin Qi, Xingcheng Gu
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引用次数: 0

Abstract

In this study, data envelopment analysis (DEA) is performed to evaluate the efficiency of governmental forest investment in carbon sequestration based on data from the seventh forest investigation and forest carbon storage estimated by Li & Lei for 2004–2008. Then, DEA is performed to evaluate comprehensive efficiency using data from areas of afforestation and natural reserves as indices of carbon benefit. For 20 provinces analysed in this study, employment in the forest industry is used as an index of social benefit, and forestry production is used as an index of economic benefit. These provinces include Inner Mongolia, Liaoning, Jilin, Heilongjiang, Zhejiang, Anhui, Fujian, Jiangxi, Henan, Hubei, Hunan, Guangdong, Guangxi, Chongqing, Sichuan, Guizhou, Yunnan, Shanxi, Gansu, and Xinjiang. Next, the elements that influence the efficiencies in the spatial error model (SEM) and spatial lag model (SLM) are evaluated. The results show that carbon sequestration efficiency differs for different output indices. The comprehensive efficiencies of the provinces in East China and South-central China are superior to those of the provinces in Northeast, North, Southeast and Northwest China. Both efficiencies are affected by adjacent provinces, though comprehensive efficiency is influenced the most. The level of technique and management is the most important element influencing the carbon sequestration efficiency and comprehensive efficiency. The influencing elements of carbon sequestration show that workers who have been laid off negatively impact the efficiency of governmental investment. Afforestation investment and wildlife and natural reserve investment have the greatest influence on carbon sequestration efficiency. An evaluation of comprehensive influential elements shows that the primary industry of forestry has a greater influence on efficiency than revenue from forest parks, although the government advocates for industrial transformation. Social investment influences comprehensive efficiency. The lack of social investment in provinces with undeveloped economies reduces forestry development.

碳汇视角下中国国有林业投资效率评价——以20个省为例
本研究基于第七次森林调查数据和李估计的森林碳储量,采用数据包络分析(DEA)方法对政府森林固碳投资的效率进行了评估;雷在2004-2008年。然后,利用造林面积和自然保护区的数据作为碳效益指标,进行DEA综合效益评价。在本研究分析的20个省份中,林业就业被用作社会效益指数,林业生产被用作经济效益指数。这些省份包括内蒙古、辽宁、吉林、黑龙江、浙江、安徽、福建、江西、河南、湖北、湖南、广东、广西、重庆、四川、贵州、云南、山西、甘肃和新疆。接下来,评估了影响空间误差模型(SEM)和空间滞后模型(SLM)中效率的因素。结果表明,不同产量指标的固碳效率不同。东部和中南部省份的综合效率高于东北、北部、东南和西北省份。两种效率都受到相邻省份的影响,但综合效率的影响最大。技术和管理水平是影响固碳效率和综合效率的最重要因素。碳汇的影响因素表明,下岗工人对政府投资效率产生了负面影响。造林投资和野生动物及自然保护区投资对固碳效率的影响最大。对综合影响因素的评估表明,尽管政府提倡产业转型,但林业第一产业对效率的影响大于森林公园收入。社会投资影响综合效率。经济不发达省份缺乏社会投资,降低了林业发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
生态学报
生态学报 Environmental Science-Ecology
CiteScore
5.30
自引率
0.00%
发文量
17028
审稿时长
68 days
期刊介绍: Our Journal publishes recent theories and novel experimental results in ecology, and facilitates academic exchange and discussions both domestically and abroad. It is expected that our journal will promote the development of and foster research talents for ecological studies in China.
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