转移支付与地区全要素生产率:来自中国的证据

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Complexity Pub Date : 2024-11-26 DOI:10.1155/2024/8045857
Zhiwei Cao, Baijun Wu, Sha Liu
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引用次数: 0

摘要

通过理论分析和实证检验,得出以下结论:首先,基准检验证明转移支付显著促进了地区全要素生产率。第二,在使用系统 GMM 模型和工具变量法处理内生性问题后,本文的结论仍然有效。第三,异质性分析表明,全要素生产率对中西部地区全要素生产率的影响更大,一般全要素生产率和特殊全要素生产率对地区全要素生产率的促进作用明显。第四,机制分析表明,技术性贸易壁垒通过两个渠道促进地区全要素生产率:缩小地方政府之间的财政差距和减少中央与地方政府之间的纵向财政失衡。由于财政资源的均衡分配意味着公共产品的有效供给,各地区都有条件优化资源配置,提高资源利用效率。在此基础上,仍有必要实施贸易点制度。同时,还需要优化贸易点规则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transfer Payments and Regional Total Factor Productivity: Evidence From China

Through theoretical analysis and empirical test, the following conclusions are drawn: Firstly, the benchmark test proves that transfer payments (TPs) significantly promote regional TFP. Secondly, the conclusions of this paper are still valid after using the system GMM model and instrumental variable method to deal with the endogeneity problem. Thirdly, heterogeneity analysis shows that TPs have a greater impact on TFP in the central and western regions, and general TPs and special TPs significantly promote regional TFP. Fourthly, mechanism analysis shows that TPs promote regional TFP through two channels: narrowing the financial gap between local governments and reducing the vertical fiscal imbalance between central and local governments. Because the balanced distribution of financial resources means the effective supply of public goods, all regions have the conditions to optimize the allocation of resources and improve the efficiency of resource use. Based on this, it is still necessary to implement the TPs system. Also, there is a need to optimize the TP rules.

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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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