Can two-way Foreign Direct Investment promote green technology spillover in Belt and Road countries? An analysis based on the moderator variable of the technology gap
Liguo Zhang, Suining Gan, Cuiting Jiang, Xiang Cai
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引用次数: 0
Abstract
The rapid growth of two-way foreign direct investment (FDI) is a striking feature of the Belt and Road (B&R). Can two-way FDI promote green technology spillover (GTS) from the B&R countries? Does the technology gap moderate GTS? And what is the underlying mechanism? To this end, this paper systematically analyses the impact of two-way FDI on GTS based on panel data of 64 B&R countries from 2001 to 2020. Three significant findings were obtained: first, there is a dynamic effect between two-way FDI and GTS, and the technology gap always adjusts this relationship positively. Second, "Iron needs to be hard." Whether "going out" or "coming in," GTS is confined to a certain extent. The B&R countries must rely on their capabilities to build higher-quality, independently controllable key technology chains. Finally, the technology effect of two-way FDI always inhibits GTS, and the technology gap between the B&R countries and technology frontier countries is the "valley of death" which is difficult to cross but has to cross. These findings have targeted policy implications for the B&R countries to capture better GTS.
期刊介绍:
Environmental and Ecological Statistics publishes papers on practical applications of statistics and related quantitative methods to environmental science addressing contemporary issues.
Emphasis is on applied mathematical statistics, statistical methodology, and data interpretation and improvement for future use, with a view to advance statistics for environment, ecology and environmental health, and to advance environmental theory and practice using valid statistics.
Besides clarity of exposition, a single most important criterion for publication is the appropriateness of the statistical method to the particular environmental problem. The Journal covers all aspects of the collection, analysis, presentation and interpretation of environmental data for research, policy and regulation. The Journal is cross-disciplinary within the context of contemporary environmental issues and the associated statistical tools, concepts and methods. The Journal broadly covers theory and methods, case studies and applications, environmental change and statistical ecology, environmental health statistics and stochastics, and related areas. Special features include invited discussion papers; research communications; technical notes and consultation corner; mini-reviews; letters to the Editor; news, views and announcements; hardware and software reviews; data management etc.