Agricultural labor changes and agricultural economic development in China and their implications for rural vitalization
Based on panel data from 1991, 2000 and 2010 at the county level in China, this study analyzed the coupling characteristics and spatio-temporal patterns of agricultural labor changes and economic development under rapid urbanization using quantitative and GIS spatial analysis methods. Three primary...
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Veröffentlicht in: | Journal of geographical sciences 2019-02, Vol.29 (2), p.163-179 |
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description | Based on panel data from 1991, 2000 and 2010 at the county level in China, this study analyzed the coupling characteristics and spatio-temporal patterns of agricultural labor changes and economic development under rapid urbanization using quantitative and GIS spatial analysis methods. Three primary conclusions were obtained. (1) During 1991–2010, China’s agricultural labor at the county level showed a decreasing trend, down 4.91% from 1991 to 2000 and 15.50% from 2000 to 2010. In spatial distribution, agricultural labor force has evolved by decreasing eastward and increasing westward. (2) During 1991–2010, China’s agricultural economy at the county level showed a sustained growth trend, with a total increase of 140.13%, but with clear regional differences. The proportion of agricultural output in national GDP gradually decreased, characterized by decreases in eastern China and increases in western China. (3) The coupling types of economic-labor elasticity coefficient are mainly growth in northwest China, for both the agricultural economy and labor, and are intensive in southeast China, with growth of the agricultural economy and reduction of agricultural labor. Regions with lagged, fading, and declining coupling types are generally coincident with the high incidence of poverty in China. However, different coupling types had a positive developing trend for 1991–2010. Finally, based on the coupling types and spatial distribution characteristics of economic-labor elasticity coefficients, some policy suggestions are proposed to promote the integration of the primary, secondary, and tertiary industries and the vitalization of rural economies. |
doi_str_mv | 10.1007/s11442-019-1590-5 |
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Three primary conclusions were obtained. (1) During 1991–2010, China’s agricultural labor at the county level showed a decreasing trend, down 4.91% from 1991 to 2000 and 15.50% from 2000 to 2010. In spatial distribution, agricultural labor force has evolved by decreasing eastward and increasing westward. (2) During 1991–2010, China’s agricultural economy at the county level showed a sustained growth trend, with a total increase of 140.13%, but with clear regional differences. The proportion of agricultural output in national GDP gradually decreased, characterized by decreases in eastern China and increases in western China. (3) The coupling types of economic-labor elasticity coefficient are mainly growth in northwest China, for both the agricultural economy and labor, and are intensive in southeast China, with growth of the agricultural economy and reduction of agricultural labor. Regions with lagged, fading, and declining coupling types are generally coincident with the high incidence of poverty in China. However, different coupling types had a positive developing trend for 1991–2010. Finally, based on the coupling types and spatial distribution characteristics of economic-labor elasticity coefficients, some policy suggestions are proposed to promote the integration of the primary, secondary, and tertiary industries and the vitalization of rural economies.</description><identifier>ISSN: 1009-637X</identifier><identifier>EISSN: 1861-9568</identifier><identifier>DOI: 10.1007/s11442-019-1590-5</identifier><language>eng</language><publisher>Heidelberg: Science Press</publisher><subject>Agricultural development ; Agricultural production ; Earth and Environmental Science ; Economic development ; Economics ; Farmworkers ; Geographical Information Systems/Cartography ; Geography ; Nature Conservation ; Physical Geography ; Poverty ; Remote Sensing/Photogrammetry ; Spatial analysis ; Spatial distribution ; Urbanization</subject><ispartof>Journal of geographical sciences, 2019-02, Vol.29 (2), p.163-179</ispartof><rights>Science in China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Science in China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-d27d7e6815d318e27fd1c4a6939731e22f1b1bedc5e7fde4c5a32066f66f9b723</citedby><cites>FETCH-LOGICAL-c359t-d27d7e6815d318e27fd1c4a6939731e22f1b1bedc5e7fde4c5a32066f66f9b723</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11442-019-1590-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918611918?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21367,27901,27902,33721,41464,42533,43781,51294</link.rule.ids></links><search><creatorcontrib>Ma, Li</creatorcontrib><creatorcontrib>Long, Hualou</creatorcontrib><creatorcontrib>Zhang, Yingnan</creatorcontrib><creatorcontrib>Tu, Shuangshuang</creatorcontrib><creatorcontrib>Ge, Dazhuan</creatorcontrib><creatorcontrib>Tu, Xiaosong</creatorcontrib><title>Agricultural labor changes and agricultural economic development in China and their implications for rural vitalization</title><title>Journal of geographical sciences</title><addtitle>J. Geogr. Sci</addtitle><description>Based on panel data from 1991, 2000 and 2010 at the county level in China, this study analyzed the coupling characteristics and spatio-temporal patterns of agricultural labor changes and economic development under rapid urbanization using quantitative and GIS spatial analysis methods. Three primary conclusions were obtained. (1) During 1991–2010, China’s agricultural labor at the county level showed a decreasing trend, down 4.91% from 1991 to 2000 and 15.50% from 2000 to 2010. In spatial distribution, agricultural labor force has evolved by decreasing eastward and increasing westward. (2) During 1991–2010, China’s agricultural economy at the county level showed a sustained growth trend, with a total increase of 140.13%, but with clear regional differences. The proportion of agricultural output in national GDP gradually decreased, characterized by decreases in eastern China and increases in western China. (3) The coupling types of economic-labor elasticity coefficient are mainly growth in northwest China, for both the agricultural economy and labor, and are intensive in southeast China, with growth of the agricultural economy and reduction of agricultural labor. Regions with lagged, fading, and declining coupling types are generally coincident with the high incidence of poverty in China. However, different coupling types had a positive developing trend for 1991–2010. Finally, based on the coupling types and spatial distribution characteristics of economic-labor elasticity coefficients, some policy suggestions are proposed to promote the integration of the primary, secondary, and tertiary industries and the vitalization of rural economies.</description><subject>Agricultural development</subject><subject>Agricultural production</subject><subject>Earth and Environmental Science</subject><subject>Economic development</subject><subject>Economics</subject><subject>Farmworkers</subject><subject>Geographical Information Systems/Cartography</subject><subject>Geography</subject><subject>Nature Conservation</subject><subject>Physical Geography</subject><subject>Poverty</subject><subject>Remote Sensing/Photogrammetry</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Urbanization</subject><issn>1009-637X</issn><issn>1861-9568</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kFtLwzAUx4soOC8fwLeAz9GcpEmbxzG8wcAXBd9CmqZbRpvWpJvopzdbBX0RQnLI_3Lgl2VXQG6AkOI2AuQ5xQQkBi4J5kfZDEoBWHJRHqeZEIkFK95Os7MYN4QwmQs6yz7mq-DMth23Qbeo1VUfkFlrv7IRaV8j_Ve2pvd95wyq7c62_dBZPyLn0WLtvD7Yx7V1AbluaJ3Ro-t9RE1qDIf4zo26dV-H_4vspNFttJc_73n2en_3snjEy-eHp8V8iQ3jcsQ1LerCihJ4zaC0tGhqMLkWksmCgaW0gQoqWxtuk2RzwzWjRIgmHVkVlJ1n11PvEPr3rY2j2vTb4NNKReUeEKQ7uWBymdDHGGyjhuA6HT4VELXnqya-KvFVe76KpwydMjF5E6_w2_x_6BsnbIBe</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Ma, Li</creator><creator>Long, Hualou</creator><creator>Zhang, Yingnan</creator><creator>Tu, Shuangshuang</creator><creator>Ge, Dazhuan</creator><creator>Tu, Xiaosong</creator><general>Science Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20190201</creationdate><title>Agricultural labor changes and agricultural economic development in China and their implications for rural vitalization</title><author>Ma, Li ; Long, Hualou ; Zhang, Yingnan ; Tu, Shuangshuang ; Ge, Dazhuan ; Tu, Xiaosong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-d27d7e6815d318e27fd1c4a6939731e22f1b1bedc5e7fde4c5a32066f66f9b723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Agricultural development</topic><topic>Agricultural production</topic><topic>Earth and Environmental Science</topic><topic>Economic development</topic><topic>Economics</topic><topic>Farmworkers</topic><topic>Geographical Information Systems/Cartography</topic><topic>Geography</topic><topic>Nature Conservation</topic><topic>Physical Geography</topic><topic>Poverty</topic><topic>Remote Sensing/Photogrammetry</topic><topic>Spatial analysis</topic><topic>Spatial distribution</topic><topic>Urbanization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ma, Li</creatorcontrib><creatorcontrib>Long, Hualou</creatorcontrib><creatorcontrib>Zhang, Yingnan</creatorcontrib><creatorcontrib>Tu, Shuangshuang</creatorcontrib><creatorcontrib>Ge, Dazhuan</creatorcontrib><creatorcontrib>Tu, Xiaosong</creatorcontrib><collection>CrossRef</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Earth, Atmospheric & Aquatic Science 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>Journal of geographical sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ma, Li</au><au>Long, Hualou</au><au>Zhang, Yingnan</au><au>Tu, Shuangshuang</au><au>Ge, Dazhuan</au><au>Tu, Xiaosong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Agricultural labor changes and agricultural economic development in China and their implications for rural vitalization</atitle><jtitle>Journal of geographical sciences</jtitle><stitle>J. Geogr. Sci</stitle><date>2019-02-01</date><risdate>2019</risdate><volume>29</volume><issue>2</issue><spage>163</spage><epage>179</epage><pages>163-179</pages><issn>1009-637X</issn><eissn>1861-9568</eissn><abstract>Based on panel data from 1991, 2000 and 2010 at the county level in China, this study analyzed the coupling characteristics and spatio-temporal patterns of agricultural labor changes and economic development under rapid urbanization using quantitative and GIS spatial analysis methods. Three primary conclusions were obtained. (1) During 1991–2010, China’s agricultural labor at the county level showed a decreasing trend, down 4.91% from 1991 to 2000 and 15.50% from 2000 to 2010. In spatial distribution, agricultural labor force has evolved by decreasing eastward and increasing westward. (2) During 1991–2010, China’s agricultural economy at the county level showed a sustained growth trend, with a total increase of 140.13%, but with clear regional differences. The proportion of agricultural output in national GDP gradually decreased, characterized by decreases in eastern China and increases in western China. (3) The coupling types of economic-labor elasticity coefficient are mainly growth in northwest China, for both the agricultural economy and labor, and are intensive in southeast China, with growth of the agricultural economy and reduction of agricultural labor. Regions with lagged, fading, and declining coupling types are generally coincident with the high incidence of poverty in China. However, different coupling types had a positive developing trend for 1991–2010. Finally, based on the coupling types and spatial distribution characteristics of economic-labor elasticity coefficients, some policy suggestions are proposed to promote the integration of the primary, secondary, and tertiary industries and the vitalization of rural economies.</abstract><cop>Heidelberg</cop><pub>Science Press</pub><doi>10.1007/s11442-019-1590-5</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural development Agricultural production Earth and Environmental Science Economic development Economics Farmworkers Geographical Information Systems/Cartography Geography Nature Conservation Physical Geography Poverty Remote Sensing/Photogrammetry Spatial analysis Spatial distribution Urbanization |
title | Agricultural labor changes and agricultural economic development in China and their implications for rural vitalization |
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