農民非農勞動決策：458個樣本

Off-Farm Work Decision of Peasants: 458 Samples

10.6704/JMSSD.2009.6.1.43

趙海(Hai Zhao)

農村勞動力 ； 非農勞動參與 ； 概率模型 ； Rural Labour Force ； Off-farm Work Participation ； Probit Model

管理科學與統計決策

6卷1期（2009 / 03 / 01）

43 - 49

繁體中文

通過對調查資料的統計分析，本文發現年輕男性勞動力更傾向於提供非農勞動，擁有手藝、社區非農產業發展、基礎設施建設和農村金融服務的便利性都對非農勞動參與有著顯著的正效應，教育的影響卻並不明顯，人均耕地量對非農勞動參與有負面影響。要統籌城鄉發展，提高農民收入，必須提高農民的非農勞動參與率，政府除了加大對農民的職業教育和技能培訓外，還要完善土地流轉制度，努力改善農村社會發展環境。

From the analysis of the micro-data, this paper finds that young men likely to supply off-farm work. Handicraft significantly raises off-farm work participation rate and the role of education is not significant. Per capita quantity of cultivated land has a negative impact on off-farm work participation. In addition, community variable, such as non-farm industry development, infrastructure construction and rural finance service have positive impact on off-farm work. To increase the income of peasants, we must raise off-farm work participation. The government should strengthen skills training of peasants and improve country development circumstance.

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