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数智化发展何以降低畜牧业环境污染?

How can digital and intelligent development reduce environmental pollution in animal husbandry?

  • 摘要: 基于2013—2023年中国31个省份的面板数据,从数智基础设施、数智产业规模、数智创新能力和数智应用渗透四个维度构建数智化发展水平评价指标体系,运用双向固定效应模型和门槛回归模型,系统考察数智化发展对畜牧业环境污染的影响效应、作用机制及其边界条件,为推动畜牧业绿色转型提供经验证据。结果表明:1)数智化发展能够显著降低畜牧业环境污染,在控制内生性问题并经过多种稳健性检验后,该结论依然成立。2)数智化发展主要通过增加科学技术投入、促进技术创新,以及提升饲料产出效率、优化生产管理两条路径降低畜牧业环境污染。3)产业集聚对数智化发展的减排效应具有正向调节作用,产业集聚水平越高,数智化的环境治理效应越明显。4)数智化发展的减排效应存在显著的空间异质性,在东部地区和西部地区表现显著;在生猪生产功能区中,约束发展区、适度发展区和潜力增长区均表现出显著减排效应,且显著性依次减弱。5)绿色金融发展在数智化降低畜牧业环境污染过程中存在显著门槛效应,当绿色金融发展水平跨越门槛值后,数智化发展的环境治理效应由不显著甚至增加环境压力转变为显著的污染减排效应。据此,应持续完善畜牧业数智化基础设施建设,强化科技创新与精细化管理协同,促进产业集聚发展,并健全绿色金融支持体系,以充分发挥数智化发展的环境治理效能。

     

    Abstract: Based on panel data from 31 provinces in China from 2013 to 2023, an evaluation system for digital and intelligent (DI) development was constructed from four dimensions: DI infrastructure, DI industry scale, DI innovation capacity, and DI application penetration. A two-way fixed effects model and a threshold regression model were employed to systematically examine the effects, mechanisms, and boundary conditions of DI development on environmental pollution from animal husbandry, providing empirical evidence for promoting the green transformation of the livestock industry. The results show that: 1) DI development significantly reduces environmental pollution from animal husbandry, and this finding remains robust after addressing endogeneity and conducting various robustness checks; 2) DI development mainly reduces environmental pollution from animal husbandry through two pathways, namely increasing investment in science and technology and promoting technological innovation, as well as improving feed output efficiency and optimizing production management; 3) industrial agglomeration positively moderates the pollution reduction effect of DI development, with a higher level of industrial agglomeration associated with a stronger environmental governance effect; 4) the pollution reduction effect of DI development exhibits significant spatial heterogeneity, with significant effects observed in the eastern and western regions. Among the pig production functional zones, significant pollution reduction effects are observed in restricted development zones, moderate development zones, and potential growth zones, with the level of significance decreasing sequentially; and 5) green finance development exhibits a significant threshold effect in the process through which DI development reduces environmental pollution from animal husbandry. Once the level of green finance development exceeds the threshold, the environmental governance effect of DI development shifts from an insignificant effect or even an increase in environmental pressure to a significant pollution reduction effect. Accordingly, efforts should be made to continuously improve DI infrastructure for the livestock industry, strengthen the synergy between technological innovation and refined management, promote industrial agglomeration, and improve the green finance support system to fully realize the environmental governance potential of DI development.

     

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