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Gucheng Li
College of Economics & Management, Huazhong Agricultural University, Wuhan, China

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Research article
Published: 16 July 2020 in Applied Economics
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Although previous studies have widely examined the association between off-farm work participation and land use behaviours of rural households, little attention has been paid to the effects of the joint off-farm work decisions of farm couples on land transfer choices. This study investigates the determinants of farm couples’ off-farm work participation, using a seemingly unrelated bivariate probit regression model and survey data collected from rural China. We also estimate the impact of the joint off-farm work decisions of farm couples on land transfer choices by employing a multinomial logit model and controlling for the endogeneity issues of off-farm work variables. The empirical results show that farm couples are jointly making decisions to work off the farm, but their decisions affect household land transfer choices differently. In particular, we show that the husbands participating in the off-farm work are more likely to rent in land, while their wives are less likely to do so. Both the husbands and wives are more likely to rent out land if they work off the farm. Our findings highlight the importance of farm couples’ off-farm work decisions in stimulating the development of rural land rental markets.

ACS Style

Xiaoshi Zhou; Wanglin Ma; Alan Renwick; Gucheng Li. Off-farm work decisions of farm couples and land transfer choices in rural China. Applied Economics 2020, 52, 6229 -6247.

AMA Style

Xiaoshi Zhou, Wanglin Ma, Alan Renwick, Gucheng Li. Off-farm work decisions of farm couples and land transfer choices in rural China. Applied Economics. 2020; 52 (57):6229-6247.

Chicago/Turabian Style

Xiaoshi Zhou; Wanglin Ma; Alan Renwick; Gucheng Li. 2020. "Off-farm work decisions of farm couples and land transfer choices in rural China." Applied Economics 52, no. 57: 6229-6247.

Journal article
Published: 26 January 2020 in Sustainability
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Investigated in this work is the impact of contract farming participation on smallholder farmers’ income and food security in rice crop production in Northern Benin using 400 randomly selected rice farmer households. Unlike previous studies, we corrected for both observed and unobserved biases by combining propensity score matching (PSM) and the local average treatment effect parameter (LATE). The results showed significant negative consequences of partaking in rice contract farming. We found evidence of significant negative effects on rice production income at a 1% level. The more the rice farmers join in contract farming, the lower the farm income became. Decreased food consumption was also a result of contract farming participation for potential participants by a score of 60.64, placing their households at the food security status level of poor food consumption because the quantity and nutritional quality of the food consumed were inadequate. Contract farming is, therefore, not a reasonable policy instrument that can help farmers increase their income and improve their food security level in the Alibori Department, Benin if farmers do not diversify their crops. The necessary resources and economic environment are not yet in place to allow contract farming to take full advantage of its potential benefits. To prevent the wasting of scarce public resources, expanding contract farming would not be appropriate in marginal areas with markets and other infrastructure. Additional measures are needed for contract farming to be profitable for contracting actors and to ensure sustainability and the large-scale participation of farmers.

ACS Style

Odountan Ambaliou Olounlade; Gu-Cheng Li; Sènakpon E. Haroll Kokoye; François Vihôdé Dossouhoui; Kuassi Auxence Aristide Akpa; Dessalegn Anshiso; Gauthier Biaou. Impact of Participation in Contract Farming on Smallholder Farmers’ Income and Food Security in Rural Benin: PSM and LATE Parameter Combined. Sustainability 2020, 12, 901 .

AMA Style

Odountan Ambaliou Olounlade, Gu-Cheng Li, Sènakpon E. Haroll Kokoye, François Vihôdé Dossouhoui, Kuassi Auxence Aristide Akpa, Dessalegn Anshiso, Gauthier Biaou. Impact of Participation in Contract Farming on Smallholder Farmers’ Income and Food Security in Rural Benin: PSM and LATE Parameter Combined. Sustainability. 2020; 12 (3):901.

Chicago/Turabian Style

Odountan Ambaliou Olounlade; Gu-Cheng Li; Sènakpon E. Haroll Kokoye; François Vihôdé Dossouhoui; Kuassi Auxence Aristide Akpa; Dessalegn Anshiso; Gauthier Biaou. 2020. "Impact of Participation in Contract Farming on Smallholder Farmers’ Income and Food Security in Rural Benin: PSM and LATE Parameter Combined." Sustainability 12, no. 3: 901.

Journal article
Published: 06 December 2019 in Energies
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This study aims to explore the casual relationship between agricultural production, economic growth and carbon dioxide emissions in Pakistan. An autoregressive distributed lag (ARDL) model is applied to examine the relationship between agricultural production, economic growth and carbon dioxide emissions using time series data from 1960 to 2014. The Augmented Dickey–Fuller (ADF), Phillips–Perron (PP) and Kwiatkowski–Phillips–Schmidt–Shin (KPSS) tests are used to check the stationarity of variables. The results show both short-run and long-run relationships between agricultural production, gross domestic product (GDP) and carbon dioxide emissions in Pakistan. From the short-run estimates, it is found that a 1% increase in barley and sorghum production will decrease carbon dioxide emissions by 3% and 4%, respectively. The pairwise Granger causality test shows unidirectional causality of cotton, milled rice, and sorghum production with carbon dioxide emissions. Due to the aforementioned cause, it is essential to manage the effects of carbon dioxide emissions on agricultural production. Appropriate steps are needed to develop agricultural adaptation policies, improve irrigation facilities and introduce high-yielding and disease-resistant varieties of crops to ensure food security in the country.

ACS Style

Sajjad Ali; Li Gucheng; Liu Ying; Muhammad Ishaq; Tariq Shah. The Relationship between Carbon Dioxide Emissions, Economic Growth and Agricultural Production in Pakistan: An Autoregressive Distributed Lag Analysis. Energies 2019, 12, 4644 .

AMA Style

Sajjad Ali, Li Gucheng, Liu Ying, Muhammad Ishaq, Tariq Shah. The Relationship between Carbon Dioxide Emissions, Economic Growth and Agricultural Production in Pakistan: An Autoregressive Distributed Lag Analysis. Energies. 2019; 12 (24):4644.

Chicago/Turabian Style

Sajjad Ali; Li Gucheng; Liu Ying; Muhammad Ishaq; Tariq Shah. 2019. "The Relationship between Carbon Dioxide Emissions, Economic Growth and Agricultural Production in Pakistan: An Autoregressive Distributed Lag Analysis." Energies 12, no. 24: 4644.

Journal article
Published: 04 February 2019 in Journal of Integrative Agriculture
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Farmers in Pakistan continue to produce maize under various types of risks and adopt several strategies to manage those risks. This study is the first attempt to investigate the factors affecting the concurrent adoption of off-farm income diversification and agricultural credit which the farmers use to manage the risk to maize production. We apply bivariate and multinomial probit approaches to the primary data collected from four districts of Punjab Province in Pakistan. The results show that strong correlations exist between the off-farm diversification and agricultural credit which indicates that the use of one risk management strategy leads to another. The findings demonstrate that education, livestock number, maize farming experience, perceptions of biological risks and risk-averse nature of the growers significantly encourage the adoption of diversification as a risk management tool while farm size inversely affects the adoption of diversification. Similarly, in the adoption equation of credit, maize farming experience, farm size, perceptions of price and biological risks and risk attitude of farmers significantly enhance the chances of adopting agricultural credit to manage farm risks. These findings are important for the relevant stakeholders who seek to offer carefully designed risk minimizing options to the maize farmers.

ACS Style

Shoaib Akhtar; Gu-Cheng Li; Adnan Nazir; Amar Razzaq; Raza Ullah; Muhammad Faisal; Muhammad Asad Ur Rehman Naseer; Muhammad Haseeb Raza. Maize production under risk: The simultaneous adoption of off-farm income diversification and agricultural credit to manage risk. Journal of Integrative Agriculture 2019, 18, 460 -470.

AMA Style

Shoaib Akhtar, Gu-Cheng Li, Adnan Nazir, Amar Razzaq, Raza Ullah, Muhammad Faisal, Muhammad Asad Ur Rehman Naseer, Muhammad Haseeb Raza. Maize production under risk: The simultaneous adoption of off-farm income diversification and agricultural credit to manage risk. Journal of Integrative Agriculture. 2019; 18 (2):460-470.

Chicago/Turabian Style

Shoaib Akhtar; Gu-Cheng Li; Adnan Nazir; Amar Razzaq; Raza Ullah; Muhammad Faisal; Muhammad Asad Ur Rehman Naseer; Muhammad Haseeb Raza. 2019. "Maize production under risk: The simultaneous adoption of off-farm income diversification and agricultural credit to manage risk." Journal of Integrative Agriculture 18, no. 2: 460-470.

Journal article
Published: 24 August 2018 in Sustainability
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Although draft animals have been playing an essential role in agricultural production worldwide, in recent decades there has been a trend towards replacing draft animals with farm machines. In the areas facing labour shortage due to rural-to-urban migration, the use of farm machines is especially expected to enhance agricultural production and productivity. However, little is known about the extent to which the farm machine use substitutes draft animal use and how the two production activities jointly affect agricultural performance. To fill this gap, this paper attempts to examine the long-run and short-run effects of farm machine use on draft animal use using a pooled mean group estimator, and to estimate the joint effects of farm machine use and draft animal use on agricultural productivity using a panel production function model. The empirical results show that a 1% increase in farm machine use rate tends to decrease draft animal use by 2.82% in the long-run, but it does not have a statistically significant impact on draft animal use in the short-run. In addition, we find that output elasticity of farm machine use has increased from −0.161 in 1978 to 0.170 in 2012, while that of draft animal use has decreased from 0.185 to −0.129 over the same time period. Our findings highlight the importance of government’s efforts in promoting an agricultural transition from animal power to machine power in order to increase sustainable agricultural production.

ACS Style

Xiaoshi Zhou; Wanglin Ma; Gucheng Li. Draft Animals, Farm Machines and Sustainable Agricultural Production: Insight from China. Sustainability 2018, 10, 3015 .

AMA Style

Xiaoshi Zhou, Wanglin Ma, Gucheng Li. Draft Animals, Farm Machines and Sustainable Agricultural Production: Insight from China. Sustainability. 2018; 10 (9):3015.

Chicago/Turabian Style

Xiaoshi Zhou; Wanglin Ma; Gucheng Li. 2018. "Draft Animals, Farm Machines and Sustainable Agricultural Production: Insight from China." Sustainability 10, no. 9: 3015.