关键词: Green development Mechanism analysis Natural resource dependence Nonlinearity

Mesh : Sustainable Development Conservation of Natural Resources Natural Resources Humans

来  源:   DOI:10.1016/j.envres.2024.119108

Abstract:
Addressing natural resource dependence is integral to achieving the Sustainable Development Goals by promoting economic diversification, environmental sustainability, and climate resilience. This study explores the effect of natural resource dependence on green development by adopting the balanced panel dataset from the \"Belt and Road\" countries from 2005 to 2019. Notably, the novelty of our analysis lies in the empirical analysis using instrument-based techniques that consolidate the \"green development curse hypothesis\" in the Belt and Road countries. The mechanism analysis reveals that natural resource dependence curbs green development by weakening innovative capability, disturbing institutional quality, reducing population density, and crowding out human capital. Further, the dynamic panel threshold model handling endogeneity verifies the nonlinear relationship between natural resource dependence and green development. Interestingly, digital trade offers greater \"resilience\" than traditional trade, correcting the resource curse dilemma. Finally, heterogeneity analyses indicate that the green development curse hypothesis only exists in countries with high-level environmental regulations and resource-based countries.
摘要:
通过促进经济多样化,解决对自然资源的依赖是实现可持续发展目标的组成部分,环境可持续性,和气候复原力。本研究采用2005-2019年“一带一路”国家平衡面板数据集,探讨自然资源依赖对绿色发展的影响。值得注意的是,我们分析的新颖性在于使用基于工具的技术进行实证分析,巩固了“一带一路”国家的“绿色发展诅咒假说”。机理分析表明,自然资源依赖通过削弱创新能力来抑制绿色发展,令人不安的制度质量,降低人口密度,挤出人力资本。Further,处理内生性的动态面板阈值模型验证了自然资源依赖与绿色发展之间的非线性关系。有趣的是,数字贸易比传统贸易提供更大的“弹性”,纠正资源诅咒困境。最后,异质性分析表明,绿色发展诅咒假说只存在于环境规制水平较高的国家和资源型国家。
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