The Spatial Distribution and Impacts of Organic Certificates in Southwest China

Author:

Guo Haixia1,Li Yike2,Hou Meiting3,Wang Xie45ORCID

Affiliation:

1. Key Laboratory of the Philosophy and Social Sciences of Sichuan Province on the Monitoring and Evaluation of the Utilization of Rural Land, Chengdu Normal University, Chengdu 611130, China

2. Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China

3. China Meteorological Administration Training Centre, Beijing 100081, China

4. Institute of Agricultural Resources and Environment, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China

5. Southwest Key Laboratory of Mountain Agricultural Environment, Ministry of Agriculture and Rural Areas, Beijing 100097, China

Abstract

Organic farming is a good choice for agricultural development in southwest China under the trade-off between environmental protection and agricultural development. However, no researcher has investigated the current state and development of organic agriculture in southwest China. As a result, this paper explored the spatial structure of organic agriculture in southwest China by examining the distribution of organic certificates, as well as the environmental and socioeconomic impacts. The results show a dramatically uneven distribution of certified organics among different provinces, cities, and organic certificate types. On the province scale, Guizhou has the highest number (1174) and density (73.40 per 1010 m2) of organic certificates. On the city scale, Zunyi and Chengdu have the highest densities (218.77 and 342.52 per 1010 m2, respectively). Most of the certified organics are plants, accounting for 76.95%. The spatial distribution of organic farming is influenced by the interaction of several factors, including precipitation, temperature, GDP, highway density, gross agriculture output, agriculture machinery, and rural employed persons. However, the related and determinant factors of organic certificate distribution vary greatly across different regions, spatial scales, economic development levels, and agricultural development statuses. For the entirety of southwestern China, the factors significantly related to the distribution of organic certificates are GDP, highway density, gross agriculture output, agriculture machinery, and rural employed persons. However, these factors are GDP, gross agriculture output, agriculture machinery, and rural employed persons for Sichuan, and gross agriculture output and rural employed persons for Guizhou. Factors constraining the development of organic agriculture in regions with better economic and agricultural conditions are much fewer than in poorer regions. All of the nine selected variables, except global radiation, are significantly related to organic certificate distribution in regions with better economic conditions, while none of them had a significant correlation with organic certificate distribution in poorer regions. Furthermore, climate is no longer a constraint in regions with better agricultural conditions. These findings are of great significance for the development and research of organic agriculture in southwest China. The development of organic agriculture in southwest China requires consideration of both the combination of multiple factors and the stage of regional economic and agricultural development.

Funder

Project of Sichuan Province Key Lab for Bamboo Pest Control and Resource Development

Project of Sichuan Provincial Science and Technology Departmen

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference49 articles.

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4. Ministry of Agriculture and Rural Affairs of the People’s Republic of China, and National Development and Reform Commission of the People’s Republic of China (2023, October 05). Implementation Program for Carbon Sequestration and Emission Reduction in Rural and Agricultural Areas, Available online: http://www.moa.gov.cn/govpublic/KJJYS/202206/P020220630331656855638.pdf.

5. Cao, W., Tao, H., Kong, B., Liu, B., and Sun, Y. (2011). Automatic Recognition of Geomorphology in Southwest China Based on DEM Data Segmentation Research on Automatic Recognition of Landform Morphology. China Soil Water Conserv., 38–41.

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