| Citation: |
Meng Jixian, Liang Chen, Chen Wenhui. Impact Mechanism of Heterogeneous Environmental Regulation on the Growth of Forest Carbon Sequestration in China[J]. Journal of Beijing Forestry University (Social Science), 2024, 23(2): 42-51. DOI: 10.13931/j.cnki.bjfuss.2023001
|
Based on panel data of 30 provinces in China from 2003 to 2019, five types of environmental regulation tools are introduced as moderating variables, and three types of forest management are used as mediating variables to explore the path and mechanism of forest carbon sequestration growth under the current multiple environmental regulation policies. The results show that: ① Forestry financial support is the main factor promoting the continuous growth of forest carbon sequestration, and forest management plays a complete mediating effect in the positive relationship between financial support and forest carbon sequestration capacity. ② In the path of carbon sequestration growth aiming at increasing forest coverage, formal environmental regulations have a significantly positive moderating effect, while informal environmental regulations such as public participation have a negative moderating effect. ③ In the path of carbon sequestration growth aiming at enhancing forest carbon sequestration capacity, market-motivated environmental regulation for pollution control, command-controlled environmental regulation for ecological protection and environmental regulation with public participation have achieved good performance. Therefore, we should actively explore the value realization mechanism of carbon sequestration products based on market incentives, attach importance to the role of command-controlled environmental regulation in ecological protection, encourage the public to participate in ecological and environmental supervision, and then stimulate the forest carbon sequestration potential to ensure their steady growth.
| [1] |
徐晋涛,易媛媛. “双碳”目标与基于自然的解决方案:森林碳汇的潜力和政策需求[J]. 农业经济问题,2022(9):11-23.
|
| [2] |
CAI W,HE N,LI M,et al. Carbon sequestration of Chinese forests from 2010 to 2060:spatiotemporal dynamics and its regulatory strategies[J]. Science Bulletin,2022,67(8):836-843. doi: 10.1016/j.scib.2021.12.012
|
| [3] |
姜霞,黄祖辉. 经济新常态下中国林业碳汇潜力分析[J]. 中国农村经济,2016(11):57-67.
|
| [4] |
王红梅. 中国环境规制政策工具的比较与选择:基于贝叶斯模型平均(BMA)方法的实证研究[J]. 中国人口·资源与环境,2016,26(9):132-138.
|
| [5] |
李青原,肖泽华. 异质性环境规制工具与企业绿色创新激励:来自上市企业绿色专利的证据[J]. 经济研究,2020,55(9):192-208.
|
| [6] |
李小平,卢现祥. 国际贸易、污染产业转移和中国工业CO2排放[J]. 经济研究,2010,45(1):15-26.
|
| [7] |
李小平,余东升,余娟娟. 异质性环境规制对碳生产率的空间溢出效应:基于空间杜宾模型[J]. 中国软科学,2020(4):82-96.
|
| [8] |
沈能,胡怡莎,彭慧. 环境规制是否能激发绿色创新?——基于点—线—面三维框架的可视化分析[J]. 中国人口·资源与环境,2020,30(4):75-84.
|
| [9] |
金刚,沈坤荣. 以邻为壑还是以邻为伴?——环境规制执行互动与城市生产率增长[J]. 管理世界,2018,34(12):43-55.
|
| [10] |
李胜兰,初善冰,申晨. 地方政府竞争、环境规制与区域生态效率[J]. 世界经济,2014,37(4):88-110.
|
| [11] |
罗能生,王玉泽. 财政分权、环境规制与区域生态效率:基于动态空间杜宾模型的实证研究[J]. 中国人口·资源与环境,2017,27(4):110-118.
|
| [12] |
李秋娟,靳爱鲜,张玉珍,等. 中国现行森林资源采伐管理体系及其改革策略[J]. 中国软科学,2009(9):9-14.
|
| [13] |
何文剑,张红霄,徐静文. 森林采伐限额管理制度能否起到保护森林资源的作用:一个文献综述[J]. 中国农村观察,2016(2):84-93,97.
|
| [14] |
闫莹,孙亚蓉,俞立平,等. 环境规制对工业绿色发展的影响及调节效应:来自差异化环境规制工具视角的解释[J]. 科技管理研究,2020,40(12):239-247.
|
| [15] |
朱洪革,付玉竹,张少鹏. 天保工程转移支付的森林生态效益及其影响机制[J]. 应用生态学报,2020,31(8):2663-2670.
|
| [16] |
余文梦,张婷婷,苏时鹏,等. 劳动力转移和森林管护水平对森林碳密度的影响:基于福建253个村的实证研究[J]. 生态学报,2022,42(23):9820-9829.
|
| [17] |
田杰,邵腾伟,徐玫. 植入森林碳汇的碳排放权交易机制研究[J]. 统计与信息论坛,2014,29(7):88-94.
|
| [18] |
潘丹. 命令控制型和市场激励型环境规制对造林面积的影响:来自中国县级层面的准自然实验证据[J]. 资源科学,2021,43(10):2026-2041.
|
| [19] |
李凌超,李心斐,程宝栋,等. 基于环境库兹涅茨曲线的中国森林转型分析[J]. 世界林业研究,2016,29(4):56-61.
|
| [20] |
GE J,LIN B. Does the Kyoto protocol as an international environmental policy promote forest carbon sinks?[J]. Journal of Global Information Management (JGIM),2021,30(6):1-22.
|
| [21] |
WEN J,HAO Y,FENG G F,et al. Does government ideology influence environmental performance? evidence based on a new dataset[J]. Economic Systems,2016,40(2):232-246. doi: 10.1016/j.ecosys.2016.04.001
|
| [22] |
张铂晨,赵树宽. 政府补贴对企业绿色创新的影响研究:政治关联和环境规制的调节作用[J]. 科研管理,2022,43(11):154-162.
|
| [23] |
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.
|
| [24] |
XIE R H,TEO T S H. Green technology innovation,environmental externality,and the cleaner upgrading of industrial structure in China:considering the moderating effect of environmental regulation[J]. Technological Forecasting and Social Change,2022,184:122020. doi: 10.1016/j.techfore.2022.122020
|
| [25] |
MATHER A S. The forest transition[J]. Area,1992,24(4):367-379.
|
| [26] |
LEMOS M C,AGRAWAL A. Environmental governance[J]. Annual Review of Environment and Resources,2006,31:297-325. doi: 10.1146/annurev.energy.31.042605.135621
|
| [27] |
GALINATO G I,GALINATO S P. The effects of corruption control,political stability and economic growth on deforestation-induced carbon dioxide emissions[J]. Environment and Development Economics,2012,17(1):67-90. doi: 10.1017/S1355770X11000222
|
| [28] |
全国森林面积由1992年1.34亿公顷增加到现在1.95亿公顷[EB/OL]. [2022-06-04]. https://www.gov.cn/govweb/wszb/zhibo515/content_2152395.htm.
|
| [29] |
BOWLER D E,BUYUNG-ALI L M,HEALEY J R,et al. Does community forest management provide global environmental benefits and improve local welfare?[J]. Frontiers in Ecology and the Environment,2012,10(1):29-36. doi: 10.1890/110040
|
| [30] |
BÖHRINGER C. The Kyoto protocol:a review and perspectives[J]. Oxford Review of Economic Policy,2003,19(3):451-466. doi: 10.1093/oxrep/19.3.451
|
| [31] |
陈志刚,姚娟.环境规制、经济高质量发展与生态资本利用的空间关系:以北部湾经济区为例[J].自然资源学报,2022,37(2):277-290.
|
| [32] |
张宁,张澜,刘聪,等. 智慧治水、公众参与对水环境治理影响研究:基于浙江“五水共治”的调查[J]. 长江流域资源与环境,2022,31(9):2011-2021.
|
| [33] |
马倩茹,许向阳. 碳价波动因素对企业技术创新影响研究:基于林业上市公司的实证分析[J]. 林业经济,2023,45(1):5-19.
|
| [34] |
江艇. 因果推断经验研究中的中介效应与调节效应[J]. 中国工业经济,2022(5):100-120.
|
| [35] |
郭子良,王大安,刘丽,等. 中国湿地生态补水发展现状及其生态效应研究进展[J]. 世界林业研究,2022,35(5):72-77.
|
| [36] |
杨林,和欣,顾红芳. 高管团队经验、动态能力与企业战略突变:管理自主权的调节效应[J]. 管理世界,2020,36(6):168-188,201,252.
|
| [37] |
温忠麟,侯杰泰,张雷. 调节效应与中介效应的比较和应用[J]. 心理学报,2005(2):268-274.
|
| [38] |
温忠麟,叶宝娟. 有调节的中介模型检验方法:竞争还是替补?[J]. 心理学报,2014,46(5):714-726.
|
| [39] |
温忠麟,张雷,侯杰泰,等. 中介效应检验程序及其应用[J]. 心理学报,2004(5):614-620.
|
| 1. |
费家驹，汪磊. 基于InVEST模型的生态系统碳储量时空变化解析——以毕节市中心城区为例. 现代园艺. 2025(04): 4-7 .
|
Supported by: Beijing Renhe Information Technology Co., Ltd. 
DownLoad: