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Does land perform well for corn planting?: An empirical study on land use efficiency in China
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment. Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, CCAP, 11A,Datun Rd, Beijing 100101, Peoples R China.;Hebei Univ, Collaborat Innovat Ctr Baiyangdian Basin Ecol Pro, Baoding 071002, Peoples R China.;Univ Chinese Acad Sci, Beijing 100049, Peoples R China..
Leiden Univ, CML, Inst Environm Sci, NL-2300 RA Leiden, Netherlands..
Swedish Univ Agr Sci, Dept Econ, Box 7013, S-75007 Uppsala, Sweden..
2018 (English)In: Land use policy, ISSN 0264-8377, E-ISSN 1873-5754, Vol. 74, p. 273-280Article in journal (Refereed) Published
Abstract [en]

To assess land quality for cropping, this study developed a land performance indicator (LPI), namely efficiency of total land productivity potential (TLPP), by incorporating the heterogeneity of land quality for individual agricultural production units when evaluating the performance of land for corn planting, using stochastic frontier analysis. Without taking into account land quality, the technical efficiency (TE) of corn production cannot be reasonably compared across regions because the variation in land quality is significant. The estimated mean TE was 0.77, which illustrates that there is still potential to increase output by 23%, without increasing inputs, if all agricultural production units emulate the best performing production units. The results demonstrated that the mean LPI was 0.273, with a maximum value of 1.0, implying that a large gap exists between the minimum optimum use of TLPP and observed TLPP. This finding indicates that corn planting units can achieve the same outputs with less land inputs through improving the land productivity per unit. The results also revealed that operational units with greater farm area are likely to be more efficient than with those with a smaller area, which suggests that enlarging farm area and promoting household cooperation and joint management practices are imperative to achieve agricultural modernization, enhance the competitiveness of China's agricultural production in the global market, and effectively disengage labor from agricultural production and transfer the resulting surplus labor to cities.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2018. Vol. 74, p. 273-280
Keywords [en]
Land use efficiency, Land productivity, Land performance indicator, Stochastic frontier analysis, Technical efficiency
National Category
Agricultural Science
Identifiers
URN: urn:nbn:se:kth:diva-227211DOI: 10.1016/j.landusepol.2017.10.032ISI: 000430623900028Scopus ID: 2-s2.0-85032967567OAI: oai:DiVA.org:kth-227211DiVA, id: diva2:1211798
Note

QC 20180531

Available from: 2018-05-31 Created: 2018-05-31 Last updated: 2018-05-31Bibliographically approved

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