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水稻生产环节外包决策实证研究--基于江西省稻农水稻种植数据的研究 被引量:15

Stage Outsourcing Behavior in Rice Production under Rapid Transformation:An Empirical Study Based on Evidences from Rice Farmers in Jiangxi Province
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摘要 基于江西省2011年325户稻农和2007年307户同一稻农两年各水稻种植季节内水稻种植8个生产环节的要素投入和要素来源微观数据,实证分析水稻生产环节外包决策,研究发现:不同特征的水稻生产环节间的外包程度有很大差别;不同种植规模的稻农在水稻生产外包的环节上也存在差别;分析稻农水稻生产环节外包决策问题,应在季节层面而非加总的农户层面进行探索。Mvprobit模型的回归结果表明,稻农水稻生产各个环节的外包决策是相关的;对于不同特征的水稻生产环节,影响其外包的因素存在差别。总体而言,增加非农就业机会、提高非农收入水平,以及降低外包价格,均有助于外包比例的提高。 Stage outsourcing behavior of rice producers has become increasingly important because of the rapid transformation of China's countryside,which includes the rapid development of land rental markets, village labor out-migration and use of farm machines. However, few studies have addressed this issue using a theoretical framework. We set out to fill this gap in the literature by developing a theoretical model that integrates determinants of rice farmers' outsourcing behavior and number of rice growing stages outsourced, and use a Probit model and a Poisson model to estimate them at both the growing season-level and the household-level, respectively. Moreover, a multivariate probit model is used to determine whether outsourcing decisions are made at different stages in isolation or if they are related. In particular, we use 2011 data from 325 rice farmers in Jiangxi Province and 2007 data from 307 rice farmers from the same group. The survey covered 8 rice-growing stages over multiple growing seasons. Descriptive and regression results show that (1) stage outsourcing in rice production is a common phenomenon, especially for labor-intensive stages, with technology-intensive stages still generally involving on family labor. (2) Rice farmers with different production scales utilize different outsourcing modes with small-scale rice farmers typically outsourcing labor-intensive stages, while large-scale rice farmers exhibit a higher proportion of technology-intensive stage outsourcing. (3) Focusing on the season-level instead of on the household-level improves rice production outsourcing research by preventing the loss of useful information through the process of data aggregation, which often produces inaccurate results. (4) Multivariate probit model regression results show that outsourcing decisions made at different rice production stages are related, and are not made in isolation. (5) Different factors affect outsourcing decisions at different kind of rice production stages. In general, not on
出处 《浙江大学学报(人文社会科学版)》 CSSCI 北大核心 2018年第2期33-54,共22页 Journal of Zhejiang University:Humanities and Social Sciences
基金 国家自然科学基金农林经济管理学学科群重点项目(71333011) 国家自然科学基金青年项目(71603228) 浙江省社科规划课题项目(17NDJC023Z)
关键词 水稻生产 环节外包 季节层面数据 Mvprobit模型 rice growing stage outsourcing growing season-level data Mvprobit model
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