scholarly journals Forced Off Farm? Labor Allocation Response to Land Requisition in Rural China

2017 ◽  
Author(s):  
Ren Mu
2005 ◽  
Vol 37 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Kevin T. McNamara ◽  
Christoph Weiss

The paper analyzes the relationship between off-farm labor allocation and on-farm enterprise diversification as farm household income stabilization strategies with census data from the federal state of Upper Austria, Austria. The results suggest that both on-farm diversification and off-farm labor allocation are related to farm and household characteristics. Larger farms tend to be more diversified. Younger farmers are more likely to work off-farm. Larger farm households tend to allocate more labor to off-farm income activities.


2015 ◽  
Vol 7 (2) ◽  
pp. 280-302 ◽  
Author(s):  
Yi Che ◽  
Yan Zhang ◽  
Linhui Yu

Purpose – The purpose of this paper is to examine key determinants of farm labor market development in rural China. Design/methodology/approach – Probit, Logit, and IV-Probit model are used to provide pertinent empirical analysis. Findings – Analysis of survey data establishes three facts about the farm labor market in rural China: first, households with high farm endowment are more likely to hire farm labor; second, because of the mismatch between farm ability and land size created by egalitarian land reallocation, households with more land reallocations are more likely to participate in farm labor market to adjust such mismatch; third, land rental market and farm labor market seem to be complementary. These results are robust to alternative model specifications, subsamples, alternative dependent variables, and additional controls. Welfare analysis demonstrates that the farm labor market is conducive to agricultural output. Originality/value – The main contribution of this study is to lay out stylized facts in terms of the development of farm labor market using a unique survey data set.


2019 ◽  
Vol 11 (22) ◽  
pp. 6458
Author(s):  
Jingyuan Cai ◽  
Liguo Zhang ◽  
Jing Tang ◽  
Dan Pan

The adoption of sustainable manure treatment technologies (SMTTs) in livestock production helps to reduce agricultural contamination. As such, understanding what determines farmers’ adoption of SMTTs is an essential prerequisite for the administrative handling of livestock pollution. Applying a multivariate probit model on a cross-sectional data set of 686 pig farmers in Poyang Lake Region in China, this study discovered that two key factors influencing farmers’ decisions to adopt multiple SMTTs are off-farm labor and environmental awareness. In other words, households with a higher share of off-farm labor are less likely to adopt SMTTs. Farmers with higher environmental awareness are more likely to adopt SMTTs. The results also revealed that because of the inappropriateness of government subsidy and insufficient technical training, the impact of Chinese government subsidy on the adoption of biogas technology is negligible, but the subsidy on composting greatly helps to promote the adoption of composting technology. We also found a substitution effect and complementary effects between different SMTTs. These findings can improve policymakers’ understanding of farmers’ joint adoption decisions. It also helps policymakers to optimize subsidy strategies to encourage farmers’ adoption of SMTTs in rural China.


1993 ◽  
Vol 22 (2) ◽  
pp. 179-188 ◽  
Author(s):  
Steven C. Kyle

This paper presents a model of the farm labor allocation decision based on risk and return characteristics of different activities. It is shown that off-farm employment can play an important role in the diversification of farm family income, implying that portfolio models of risk and return to farm activities should take into account the possibility of off-farm employment. A model of the labor allocation decision based on the risk and return characteristics of each activity is developed and tested using a state level cross section of the United States over the post-war period, and performs well in explaining variation in reliance on off-farm income.


2003 ◽  
Vol 71 (2) ◽  
pp. 561-583 ◽  
Author(s):  
Audra J Bowlus ◽  
Terry Sicular
Keyword(s):  

2019 ◽  
Vol 11 (3) ◽  
pp. 697 ◽  
Author(s):  
Xuan Chen ◽  
Jing Chen ◽  
Chien-Yu Huang

This paper investigates China’s agricultural households and their individual members’ off-farm labor supply decision in response to farm production risks and a number of other factors (e.g., demographic characteristics, farm characteristics, and local market features). Whether and to what extent farming risks may affect farmers’ off-farm employment in China are rarely studied. Our paper provides an empirical study to demonstrate that agricultural production risks significantly impact off-farm labor supply in rural China. The impacts of associated variables on households off-farm labor supply decisions are quantified using a sample of large–scale nationwide household finance survey in 2010. The results suggest that off-farm employment serves as a risk adaption strategy for Chinese farmers. Policy suggestions on retaining farmers to focus on agricultural production are discussed.


Modern China ◽  
2019 ◽  
Vol 46 (1) ◽  
pp. 79-110 ◽  
Author(s):  
An Chen

Since the late 1990s, land requisition has given rise to peasant protests in much of rural China. The literature is mostly focused on how local governments attempted to expropriate land for various purposes—at the expense of the peasants’ interests. This article goes beyond the exploitation/resistance binary and offers an in-depth analysis of the benefits and costs of land requisition to peasants through an examination of the requisition deals and peasants’ post-requisition lives. It argues that the extent to which peasants benefited or suffered from land requisition was determined by multiple factors which differed region by region, village by village, and household by household. These factors include the purposes of land requisition, the commercial potential of the land, the local government’s coffers and its land compensation package, the extent of the peasants’ reliance on farming to earn a living, their non-farming skills, social networks, and competitiveness in labor markets.


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