Shang Liyuan, Ning Jinhui, Yin Gaofei, Li Wenchao, Wu Juanjuan, Cui Cha, Wang Ruimei
College of Economics and Management, Hebei Agricultural University, Baoding 071000, China.
College of Economics and Management, China Agricultural University, Beijing 100083, China.
Animals (Basel). 2025 Apr 18;15(8):1167. doi: 10.3390/ani15081167.
Developed countries with animal husbandry are confronted with the pressing issues of ensuring stable livestock product supplies while maintaining ecological sustainability. Additional research is required to ascertain whether environmental regulation can effectively facilitate the green transformation of animal husbandry and establish a harmonious equilibrium between environmental protection and economic growth. It is essential for the empirical development of environmental policies in animal husbandry, as it evaluates the impact of regulatory measures on this sector's ecological efficiency and precisely investigates the underlying mechanisms of these effects. This paper evaluates the nonlinear impact of environmental regulation policies on the ecological efficiency of animal husbandry using the super-efficiency EBM model, spatial Durbin model, and panel threshold model, which are based on panel data from 31 Chinese provinces (2010-2022). The findings indicated that: (1) The ecological efficiency and environmental regulation intensity of animal husbandry in China exhibited a fluctuating upward trend. The environmental regulation is ranked from high to low in the following order: Northeast, West, Central, and Eastern regions. Conversely, the regions with high ecological efficiency are concentrated in the Northeast and Western regions. (2) The impacts of environmental regulation on the ecological efficiency of animal husbandry were N-type nonlinear, with the extreme points being 6.322 and 9.456. Environmental regulation also produced an "inverted N" type spatial spillover effect on the ecological efficiency of animal husbandry in adjacent areas, with extreme values of 5.330 and 7.670. (3) Environmental regulation considerably enhanced the ecological efficiency of animal husbandry in the Eastern and Central regions in terms of location characteristics. The influence on the Western and Northeastern regions exhibited N-type nonlinear characteristics. (4) From 2017 to 2022, ER had an N-type nonlinear effect on animal husbandry ecological efficiency in terms of temporal heterogeneity. However, the effect was not significant from 2010 to 2016.
有畜牧业的发达国家面临着在确保畜牧产品稳定供应的同时维持生态可持续性的紧迫问题。需要进一步研究以确定环境监管能否有效促进畜牧业的绿色转型，并在环境保护与经济增长之间建立和谐平衡。这对于畜牧业环境政策的实证发展至关重要，因为它评估监管措施对该部门生态效率的影响，并精确探究这些影响的潜在机制。本文使用基于中国31个省份（2010 - 2022年）面板数据的超效率EBM模型、空间杜宾模型和面板门槛模型，评估环境监管政策对畜牧业生态效率的非线性影响。研究结果表明：（1）中国畜牧业的生态效率和环境监管强度呈波动上升趋势。环境监管强度从高到低依次为东北地区、西部地区、中部地区和东部地区。相反，生态效率高的地区集中在东北地区和西部地区。（2）环境监管对畜牧业生态效率的影响呈N型非线性，极值点为6.322和9.456。环境监管对相邻地区畜牧业生态效率还产生了“倒N”型空间溢出效应，极值为5.330和7.670。（3）从区位特征来看，环境监管显著提高了东部和中部地区畜牧业的生态效率。对西部地区和东北地区的影响呈现N型非线性特征。（4）从时间异质性来看，2017 - 2022年环境规制对畜牧业生态效率有N型非线性影响。然而，2010 - 2016年该影响不显著。
