棉花产业协同集聚对棉花绿色全要素生产率的影响

The impact of cotton industry collaborative agglomeration on cotton green total factor productivity

  • 摘要: 本文基于构建的棉花产业协同集聚“要素流动-产业互动-空间联动”理论分析框架, 以2003—2022年中国棉花产地为研究对象, 实证研究了棉花产业协同集聚对棉花绿色全要素生产率的影响及其作用机制。研究发现: 1)棉花产业协同集聚与棉花绿色全要素生产率呈现先促进后抑制的“倒U型”关系; 2)棉花产业协同集聚具有“自我强化”的累积循环效应, 其效应可以显著持续4年; 3)拐点位于样本的94.12%分位数, 说明现阶段中国绝大多数棉花产区处于促进阶段; 4)棉花产业协同集聚对棉花绿色全要素生产率的影响在自然资源和要素需求弹性方面具有明显的异质性; 5)棉花产业协同集聚通过竞争效应、知识溢出效应和规模效应3条机制作用于棉花绿色全要素生产率, 其中竞争效应和知识溢出效应能够缓解“倒U型”关系, 而规模效应强化了“倒U型”关系, 知识溢出效应和规模效应能够推动拐点右移, 扩大促进阶段的区间, 而过度竞争会推动拐点左移, 导致抑制阶段提前。最后, 提出了优化棉花产业布局、避免过度竞争、发展适度规模经营等建议, 以实现棉花产业高质量发展, 助力中国式农业现代化。

     

    Abstract: This study is based on the theoretical framework of “factor flow–industrial interaction–space linkage” of the cotton industry cooperative agglomeration. Considering China’s cotton origins from 2003 to 2022 as the research object, it empirically researches the impact of the cotton industry cooperative agglomeration on cotton green total factor productivity and its functional mechanism. The study found that: 1) Cotton industry synergistic agglomeration and cotton green total factor productivity exhibit an “inverted U-shaped” relationship that first promotes and then inhibits; 2) The synergistic agglomeration of the cotton industry has a “self-reinforcing” cumulative cyclical effect, which can last for four years; 3) The inflection point is located at the 94.12% quantile of the sample, indicating that the vast majority of China’s cotton producing regions are currently in the promotion stage; 4) The impact of synergistic agglomeration in the cotton industry on green total factor productivity in cotton is significantly heterogeneous in terms of natural resources and factor demand elasticities; 5) Cotton industry synergistic agglomeration acts on cotton green total factor productivity through three mechanisms: competition, knowledge spillover and scale effects. The competition and knowledge spillover effects can alleviate the “inverted U-shaped” relationship, whereas the scale effect strengthens the “inverted U-shaped” relationship. Knowledge spillover and scale effects can push the inflection point to the right and widen the facilitation phase interval, whereas excessive competition can push the inflection point to the left, leading to an earlier inhibition phase. Finally, suggestions are made to optimize the layout of the cotton industry, avoid excessive competition, develop moderate-scale operations to achieve high-quality development of the cotton industry, and modernize Chinese-style agriculture.

     

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