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      Influential factors of beef production in China based on spatial effect

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          Abstract

          [Objective] In order to explore the spatial correlation of beef production in China, to clarify the spatial factors affecting beef production, to provide decision support for beef production layout planning in China and provide theoretical basis for improving beef self-sufficiency in China.

          [Method] From the perspective of spatial effect, based on the spatial panel data of 30 provinces in China (not included Tibet, Hong Kong, Macao and Taiwan) from 2010 to 2019, the spatial Durbinmodel was used to investigate the spatial correlation and influencing factors of beef production.

          [Result] From 2010 to 2019, the spatial correlation characteristics of beef production in China were significant, and Moran’s I values were all greater than 0.200. From 2017 to 2019, the spatial correlation gradually increased, and the Moran’s I value increased from 0.229 to 0.256. From the regional perspective, beef production in Heilongjiang, Jilin, Liaoning, Inner Mongolia, Hebei, Shandong, Henan, Yunnan showed a high concentration trend. Considering the influencing factors of beef production, feed richness and grassland area in theprovince had significant positive effects on beef production. The spatial spillover effects of beef slaughter rate and per capita GDP in neighboring provinces had a significant positive impact on local beef production, with per capita GDP far exceeding other variables, with spillover effect coefficient of 0.752. While the spatial spillover effects of non-agricultural employment opportunities and traffic accessibility had a significant inhibitory effect on local beef production, with spillover effect coefficient of −0.953. Local and neighboring provinces, price expectations and comparative advantages of animal husbandry jointly promoted local beef production.

          [Suggestion] In order to further improve the beef production in China, the government should grasp the changing law of beef cattle, and stimulate the beef production potential in the western China on the basis of stabilizing the beef production in northeastern China and central plains; strengthen regional technical cooperation, give play to the role of radiation in highproducing areas, and improve the national beef supply level; reasonably arrange the transportation route, improve the beef market mechanism, and realize the rational allocation of beef products among provinces; pay attention to environmental joint management and realize green and sustainable development of beef cattle production.

          Abstract

          摘要:【目的】探究我国牛肉产量的空间关联性, 明确影响牛肉产量的空间因素, 为我国肉牛生产布局规划提供决 策支持, 也为提高我国牛肉自给能力提供理论依据。 【方法】从空间效应角度出发, 基于2010—2019年我国30个省份 (不包括西藏和港澳台)的空间面板数据, 采用空间杜宾模型考察牛肉产量的空间相关性及影响因素。 【结果】2010— 2019年我国牛肉产量空间相关特征显著, 莫兰指数(Moran’s I)值均大于0.200,其中, 2017—2019年空间相关性逐渐 增强, Moran’s I 值由0.229上升至0.256。从区域层面看, 我国黑龙江、吉林、辽宁、内蒙古、河北、山东、河南和云南等 省份牛肉生产呈现高聚集态势。考虑牛肉产量的影响因素, 本省份的饲料丰富度、草原面积对牛肉生产有显著的正 向促进作用;邻近省份肉牛出栏率、人均GDP的空间溢出效应对牛肉产量有显著的正向影响, 人均GDP影响程度远超 其他变量, 溢出效应系数为0.752,而非农就业机会、交通通达性的空间溢出效应对牛肉产量起到显著的抑制作用, 交 通通达性的抑制作用较大, 溢出效应系数为−0.953;本省份及邻近省份价格预期、畜牧业比较优势共同促进牛肉生 产。 【建议】为进一步提高我国牛肉产量, 政府应把握肉牛变迁规律, 在稳定东北、中原地区牛肉产量的基础上, 激发西 部地区肉牛生产潜力;强化区域技术合作, 发挥高产区辐射带动作用, 提升全国牛肉供给水平;合理安排运输路径, 完 善牛肉市场机制, 实现牛肉产品在区域间合理调配;注重环境联合治理, 实现肉牛生产的绿色可持续发展。

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          Author and article information

          Journal
          JSA
          Journal of Southern Agriculture
          Science Press (Nanling, China )
          2095-1191
          01 July 2021
          01 December 2021
          : 52
          : 7
          : 2025-2031
          Affiliations
          [1] 1College of Management, Ocean University of China, Qingdao, Shandong 266100, China
          Article
          j.issn.2095-1191.2021.07.033
          10.3969/j.issn.2095-1191.2021.07.033
          f02570ee-ca03-44a7-894e-46e45e370928
          © 2021 Journal of Southern Agriculture

          This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

          History
          Funding
          Funded by: Soft Science Project of the Rural Revitalization Expert Advisory Committee of the Ministry of Agriculture and Rural Affairs of the Central Agricultural Office
          Award ID: 202104
          Categories
          Journal Article

          Crops,Animal agriculture,Agricultural ecology,General agriculture,Agriculture,Horticulture
          influencing factors,spatial effect,food safety,beef production,spatial Durbin model

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