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该文以中国2004-2015年期间286个地级及以上城市为样本,运用动态空间面板模型,实证分析产业集聚对地区全要素生产率的影响以及作用途径,实证结果表明:(1)制造业集聚对地区全要素生产率具有显著的负影响,但没有产生拥挤效应;生产性服务业显著提高了地区全要素生产率,且存在拥挤效应;制造业与生产性服务业的共同集聚显著促进了地区全要素生产率的提高。(2)制造业集聚对地区全要素生产率的负影响主要通过抑制技术进步发挥作用;生产性服务业集聚对地区全要素生产率的正影响主要通过提升技术效率实现;制造业与生产性服务业的共同集聚对地区全要素生产率的正影响是通过促进技术进步和提升技术效率两条途径实现的。(3)MAR外部性和Porter外部性抑制了地区全要素生产率的提高,而Jacobs外部性有助于地区全要素生产率的提升。
The paper takes 286 prefecture-level cities and above in China during 2004-2015 as a sample, and uses the dynamic spatial panel model to empirically analyze the impact of industrial agglomeration on regional total factor productivity. The empirical results show that: (1) manufacturing agglomeration Which has a significant negative impact on total factor productivity of the region but without any crowding effect. Producer services significantly improve the total factor productivity of the region and there is a crowding-out effect. Co-agglomeration of manufacturing and producer services has significantly contributed to regional total factor Productivity improvement. (2) The negative impact of manufacturing agglomeration on the total factor productivity of the region is mainly through the inhibition of technological progress; the positive impact of agglomeration of producer services on the total factor productivity of the region is mainly achieved through the enhancement of technical efficiency; the negative impact of manufacturing agglomeration on the total factor productivity of the manufacturing and producer services The positive impact of co-aggregation on total factor productivity in the region is achieved through promoting technological progress and improving technical efficiency. (3) MAR externality and Porter externality inhibit the improvement of total factor productivity in the region, while Jacobs externality contributes to the improvement of total factor productivity in the region.