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| 文章编号：1672-3104(2018)03-0078-10 |
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固定资产加速折旧新政对制造业企业全要素生产率的影响——基于双重差分模型的实证研究 |
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刘伟江，吕镯 |
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（吉林大学数量经济研究中心，吉林长春，130012） |
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| 摘 要： 在准自然实验的双重差分模型下定量研究了固定资产加速折旧新政对制造业企业全要素生产率的影响。研究发现：固定资产加速折旧新政对制造业企业的静态和动态全要素生产率没有显著促进作用；进一步的静态效应成因研究表明，固定资产加速折旧新政仅提高了低融资约束制造业企业的静态全要素生产率，对所受融资约束程度较高的三类制造业企业静态全要素生产率没有显著改善作用；动态效应成因分析表明，固定资产加速折旧新政并未能促进制造业企业技术进步和资源配置效率的提高。 |
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| 关键词： 固定资产加速折旧新政；全要素生产率；双重差分法 |
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Impact of the new policy about accelerated depreciation of fixed assets on total-factor productivity of manufacturing enterprises: An empirical study based on difference-in-differences model |
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LIU Weijiang, LV Zhuo |
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（Center for Quantitative Economics, Jilin University, Changchun 130012, China） |
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| Abstract: By adopting the difference-in-differences model of quasi-natural experiment, the present study quantitatively estimates the influence of the new policy about accelerated depreciation of fixed assets on the total-factor productivity of manufacturing enterprises. Findings show that the new policy about accelerated depreciation of fixed assets has no significant positive effect on the static and dynamic total factor productivity of manufacturing companies. Further research of the causes of static effects shows that the new policy about accelerated depreciation of fixed assets improves the static total factor productivity of the manufacturing enterprises with low financing constraints, but does not significantly improve the static total-factor productivity of the other three types of manufacturing enterprises with higher financing constraints. Analysis of the causes of dynamic effects shows that the new policy about accelerated depreciation of fixed assets does not promote the technological progress and the improvement of resource allocation efficiency of manufacturing enterprises. The research of the present essay is beneficial to the formulation and improvement of new accelerated depreciation policy of fixed assets to a certain extent. |
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Key words: the new policy about accelerated depreciation of fixed assets; total-factor productivity; difference-in-differences method |
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