The Spatial Characteristics of Sustainable Development for Agricultural Products E-Commerce at County-Level: Based on the Empirical Analysis of China
This paper used the sectional data of Chinese counties to analyze the spatial distribution characteristics of sustainable development of e-commerce for agricultural products in China at the county-level. The standard deviation ellipses and Moran’s index were used to research this subject. Then, by c...
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| Veröffentlicht in: | Sustainability 2021-06, Vol.13 (12), p.6557 |
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| creator | Chen, Zhiheng Shu, Wen Guo, Hongpeng Pan, Chulin |
| description | This paper used the sectional data of Chinese counties to analyze the spatial distribution characteristics of sustainable development of e-commerce for agricultural products in China at the county-level. The standard deviation ellipses and Moran’s index were used to research this subject. Then, by constructing spatial measurement models, the spatial spillover effects and influencing factors of the development of county-level agricultural products e-commerce were analyzed from economic development, economic structure, economic vitality, and agricultural development. The results show that: (1) the top 100 counties of agricultural products e-commerce mainly concentrate in southeastern China, spreading along the northeast and southwest; (2) the county-level agricultural products e-commerce shows significant negative spatial spillover effects; (3) the level of economic development and public services have a positive impact on the development of county-level agricultural products e-commerce, while the level of industrial development shows a negative correlation; (4) the level of agricultural development and industrial development have a significant negative external effect on the development of agricultural products e-commerce. This study is of great significance to promote the sustainable development of agricultural products e-commerce, the process of rural urbanization and the optimization of county industrial patterns. |
| doi_str_mv | 10.3390/su13126557 |
| format | Article |
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The standard deviation ellipses and Moran’s index were used to research this subject. Then, by constructing spatial measurement models, the spatial spillover effects and influencing factors of the development of county-level agricultural products e-commerce were analyzed from economic development, economic structure, economic vitality, and agricultural development. The results show that: (1) the top 100 counties of agricultural products e-commerce mainly concentrate in southeastern China, spreading along the northeast and southwest; (2) the county-level agricultural products e-commerce shows significant negative spatial spillover effects; (3) the level of economic development and public services have a positive impact on the development of county-level agricultural products e-commerce, while the level of industrial development shows a negative correlation; (4) the level of agricultural development and industrial development have a significant negative external effect on the development of agricultural products e-commerce. This study is of great significance to promote the sustainable development of agricultural products e-commerce, the process of rural urbanization and the optimization of county industrial patterns.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su13126557</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agricultural development ; Agricultural production ; Agricultural products ; Agriculture ; Data envelopment analysis ; Econometrics ; Economic development ; Electronic commerce ; GDP ; Geography ; Gross Domestic Product ; Impact analysis ; Industrial development ; Optimization ; Per capita ; Rural areas ; Sales ; Spatial distribution ; Standard deviation ; Sustainability ; Sustainable development ; Urbanization</subject><ispartof>Sustainability, 2021-06, Vol.13 (12), p.6557</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-423426952f2ded9347cd03213c20487843dba41b89a694a9520cd59923c7d20f3</citedby><cites>FETCH-LOGICAL-c295t-423426952f2ded9347cd03213c20487843dba41b89a694a9520cd59923c7d20f3</cites><orcidid>0000-0003-0625-8929 ; 0000-0003-3976-465X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Chen, Zhiheng</creatorcontrib><creatorcontrib>Shu, Wen</creatorcontrib><creatorcontrib>Guo, Hongpeng</creatorcontrib><creatorcontrib>Pan, Chulin</creatorcontrib><title>The Spatial Characteristics of Sustainable Development for Agricultural Products E-Commerce at County-Level: Based on the Empirical Analysis of China</title><title>Sustainability</title><description>This paper used the sectional data of Chinese counties to analyze the spatial distribution characteristics of sustainable development of e-commerce for agricultural products in China at the county-level. The standard deviation ellipses and Moran’s index were used to research this subject. Then, by constructing spatial measurement models, the spatial spillover effects and influencing factors of the development of county-level agricultural products e-commerce were analyzed from economic development, economic structure, economic vitality, and agricultural development. The results show that: (1) the top 100 counties of agricultural products e-commerce mainly concentrate in southeastern China, spreading along the northeast and southwest; (2) the county-level agricultural products e-commerce shows significant negative spatial spillover effects; (3) the level of economic development and public services have a positive impact on the development of county-level agricultural products e-commerce, while the level of industrial development shows a negative correlation; (4) the level of agricultural development and industrial development have a significant negative external effect on the development of agricultural products e-commerce. This study is of great significance to promote the sustainable development of agricultural products e-commerce, the process of rural urbanization and the optimization of county industrial patterns.</description><subject>Agricultural development</subject><subject>Agricultural production</subject><subject>Agricultural products</subject><subject>Agriculture</subject><subject>Data envelopment analysis</subject><subject>Econometrics</subject><subject>Economic development</subject><subject>Electronic commerce</subject><subject>GDP</subject><subject>Geography</subject><subject>Gross Domestic Product</subject><subject>Impact analysis</subject><subject>Industrial development</subject><subject>Optimization</subject><subject>Per capita</subject><subject>Rural areas</subject><subject>Sales</subject><subject>Spatial distribution</subject><subject>Standard deviation</subject><subject>Sustainability</subject><subject>Sustainable development</subject><subject>Urbanization</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkEtLAzEUhYMoWLQbf0HAnTCaZ6dxV8f6gIJC63pIk4xNmZmMeQj9If5fUyvo3dy7-M45lwPABUbXlAp0ExKmmEw4L4_AiKASFxhxdPzvPgXjELYoD6VY4MkIfK02Bi4HGa1sYbWRXqpovA3RqgBdA5cpRGl7uW4NvDefpnVDZ_oIG-fh7N1bldqYfNa-eqeTigHOi8p1nfHKQBlh5VIfd8ViL72FdzIYDV0PY06dd4PNBlk762W7C_YnsNrktHNw0sg2mPHvPgNvD_NV9VQsXh6fq9miUETwWDBCGZkIThqijRaUlUojSjBVBLFpOWVUryXD66mQE8FkBpHSXAhCVakJaugZuDz4Dt59JBNivXXJ529CTTjjWNDskamrA6W8C8Gbph687aTf1RjV--brv-bpNwLWdh8</recordid><startdate>20210608</startdate><enddate>20210608</enddate><creator>Chen, Zhiheng</creator><creator>Shu, Wen</creator><creator>Guo, Hongpeng</creator><creator>Pan, Chulin</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0003-0625-8929</orcidid><orcidid>https://orcid.org/0000-0003-3976-465X</orcidid></search><sort><creationdate>20210608</creationdate><title>The Spatial Characteristics of Sustainable Development for Agricultural Products E-Commerce at County-Level: Based on the Empirical Analysis of China</title><author>Chen, Zhiheng ; Shu, Wen ; Guo, Hongpeng ; Pan, Chulin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-423426952f2ded9347cd03213c20487843dba41b89a694a9520cd59923c7d20f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agricultural development</topic><topic>Agricultural production</topic><topic>Agricultural products</topic><topic>Agriculture</topic><topic>Data envelopment analysis</topic><topic>Econometrics</topic><topic>Economic development</topic><topic>Electronic commerce</topic><topic>GDP</topic><topic>Geography</topic><topic>Gross Domestic Product</topic><topic>Impact analysis</topic><topic>Industrial development</topic><topic>Optimization</topic><topic>Per capita</topic><topic>Rural areas</topic><topic>Sales</topic><topic>Spatial distribution</topic><topic>Standard deviation</topic><topic>Sustainability</topic><topic>Sustainable development</topic><topic>Urbanization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Zhiheng</creatorcontrib><creatorcontrib>Shu, Wen</creatorcontrib><creatorcontrib>Guo, Hongpeng</creatorcontrib><creatorcontrib>Pan, Chulin</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Zhiheng</au><au>Shu, Wen</au><au>Guo, Hongpeng</au><au>Pan, Chulin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Spatial Characteristics of Sustainable Development for Agricultural Products E-Commerce at County-Level: Based on the Empirical Analysis of China</atitle><jtitle>Sustainability</jtitle><date>2021-06-08</date><risdate>2021</risdate><volume>13</volume><issue>12</issue><spage>6557</spage><pages>6557-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>This paper used the sectional data of Chinese counties to analyze the spatial distribution characteristics of sustainable development of e-commerce for agricultural products in China at the county-level. The standard deviation ellipses and Moran’s index were used to research this subject. Then, by constructing spatial measurement models, the spatial spillover effects and influencing factors of the development of county-level agricultural products e-commerce were analyzed from economic development, economic structure, economic vitality, and agricultural development. The results show that: (1) the top 100 counties of agricultural products e-commerce mainly concentrate in southeastern China, spreading along the northeast and southwest; (2) the county-level agricultural products e-commerce shows significant negative spatial spillover effects; (3) the level of economic development and public services have a positive impact on the development of county-level agricultural products e-commerce, while the level of industrial development shows a negative correlation; (4) the level of agricultural development and industrial development have a significant negative external effect on the development of agricultural products e-commerce. 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| subjects | Agricultural development Agricultural production Agricultural products Agriculture Data envelopment analysis Econometrics Economic development Electronic commerce GDP Geography Gross Domestic Product Impact analysis Industrial development Optimization Per capita Rural areas Sales Spatial distribution Standard deviation Sustainability Sustainable development Urbanization |
| title | The Spatial Characteristics of Sustainable Development for Agricultural Products E-Commerce at County-Level: Based on the Empirical Analysis of China |
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