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Journal of Integrative Agriculture  2022, Vol. 21 Issue (11): 3395-3407    DOI: 10.1016/j.jia.2022.09.006
Special Issue: 农业经济与管理合辑Agricultural Economics and Management
Agricultural Economics and Management Advanced Online Publication | Current Issue | Archive | Adv Search |
Commercial cash crop production and households’ economic welfare: Evidence from the pulse farmers in rural China
MA Ji-liang1, LI Fan2,5, ZHANG Hui-jie3, Khan NAWAB4

1 Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
2 College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, P.R.China
3 Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
4 College of Management, Sichuan Agricultural University, Chengdu 611130, P.R.China
5 Macro Agriculture Research Institute, Huazhong Agricultural University, Wuhan 430070, P.R.China

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摘要  

促进农户经济作物种植能否显著的增加其家庭福利一直是粮食政策的焦点。本研究首先探讨了农户商业化种植食用豆行为的影响因素,并进一步分析食用豆商业化生产如何改善了农户的经济福利。本文使用了2018年至2019年期间收集的848户农户家庭数据集,通过应用Heckman两步法估计了农户家庭商业化食用豆生产的影响因素,并采用内生处理回归(ETR)方法检验了商业化食用豆种植对农户家庭经济福利的影响。结果表明,食用豆市场价格(农户销售价格)、农业技术服务、农户获得贷款途径,以及政府补贴等因素显著的促进了农户商业化的食用豆生产,而生产成本增加和对气候变化风险的认知限制了食用豆农户商业化生产。总体而言,商业化的食用豆生产显著的增加了农户家庭农业收入,但对农户家庭非农收入的影响有限。这一研究结果进一步表明,通过促进农户家庭进行商业化的经济作物生产,并降低农户农产品市场准入的政策可以显著提高经济作物(比如食用豆)农民家庭的经济福利。



Abstract  

Whether promoting cash crop production can increase household welfare has long been the focus of the food policy debate.  This study first investigated the determinants of household behavior in commercial pulse farming.  It then examined how households’ commercial pulse production improves their economic welfare.  We used a dataset of 848 households collected from 2018 to 2019 to estimate the determinants of household behavior in commercial pulse farming by the Heckman two-step model.  The endogenous treatment regression (ETR) method was employed to examine the impact of commercial pulse farming on household economic welfare.  The results showed that factors such as market purchase prices, agricultural technology services, farmers’ access to loans, and government subsidies promoted smallholders’ commercial pulse farming; production costs and perceptions of climate change risks constrained smallholders’ commercial pulse production.  Overall, commercial pulse production has increased household farm income but there was a limited impact on household off-farm income.  Our findings suggest that policies aiming to increase households’ cash crop production and market access could significantly improve the economic welfare of pulse farmers.Whether promoting cash crop production can increase household welfare has long been the focus of the food policy debate.  This study first investigated the determinants of household behavior in commercial pulse farming.  It then examined how households’ commercial pulse production improves their economic welfare.  We used a dataset of 848 households collected from 2018 to 2019 to estimate the determinants of household behavior in commercial pulse farming by the Heckman two-step model.  The endogenous treatment regression (ETR) method was employed to examine the impact of commercial pulse farming on household economic welfare.  The results showed that factors such as market purchase prices, agricultural technology services, farmers’ access to loans, and government subsidies promoted smallholders’ commercial pulse farming; production costs and perceptions of climate change risks constrained smallholders’ commercial pulse production.  Overall, commercial pulse production has increased household farm income but there was a limited impact on household off-farm income.  Our findings suggest that policies aiming to increase households’ cash crop production and market access could significantly improve the economic welfare of pulse farmers.

Keywords:  pulse farming       cash crop       commercialization       economic welfare       China  
Received: 01 March 2022   Accepted: 28 July 2022
Fund: This work was supported by the China Agriculture Research System of MOF and MARA (CARS-08-G21) and the National Natural Science Foundation of China (71904190). 

About author:  MA Ji-liang, E-mail: majiliang@caas.cn; Correspondence LI Fan, Tel/Fax: +86-27-87282679, E-mail: fan.li@hzau.edu.cn; ZHANG Hui-jie, Tel/Fax: +86-10-82106287, E-mail: zhanghuijie@caas.cn

Cite this article: 

MA Ji-liang, LI Fan, ZHANG Hui-jie, Khan NAWAB . 2022. Commercial cash crop production and households’ economic welfare: Evidence from the pulse farmers in rural China. Journal of Integrative Agriculture, 21(11): 3395-3407.

Abdulai A N. 2016. Impact of conservation agriculture technology on household welfare in Zambia. Agricultural Economics, 47, 729–741.
Abdullah, Rabbi F, Ahamad R, Ali S, Chandio A A, Ahmad W, Ilyas A, Din I U. 2019. Determinants of commericalization and its impact on the welfare of smallholder rice farmers by using Heckman’s two-stage approach. Journal of the Saudi Society of Agricultral Sciences, 18, 224–233.
Ajuang C O, Abuom P O, Bosire E K, Dida G O, Anyona D N. 2016. Determinants of climate change awareness level in upper Nyakach Division, Kisumu County, Kenya. SpringerPlus, 5, 1015.
Asrat P, Simane B. 2018. Farmers’ perception of climate change and adaptation strategies in the Dabus watershed, North-West Ethiopia. Ecological Processes, 7, 7.
Barbieri P, Pellerin S, Nesme T. 2017. Comparing crop rotations between organic and conventional farming. Scientific Reports, 7, 13761.
Carletto C, Zezza A, Banerjee R. 2013. Towards better measurement of household food security: Harmonizing indicators and the role of household surveys. Global Food Security, 2, 30–40.
Chen Y, Peng J, Wang J, Fu P, Hou Y, Zhang C, Fahad S, Peng S, Cui K, Nie L, Huang J. 2015. Crop management based on multi-split topdressing enhances grain yield and nitrogen use efficiency in irrigated rice in China. Field Crops Research, 184, 50–57.
Cheng L, Zou Y, Ding S, Zhang J, Yu X, Cao J, Lu G. 2009. Polyamine accumulation in transgenic tomato enhances the tolerance to high temperature stress. Journal of Integrative Plant Biology, 51, 489–499.
Christiaensen L J, Demery L, Kühl J. 2006. The role of agriculture in poverty reduction: An empirical perspective. Policy research working paper, WPS4013. The World Bank, Washington, D.C.
Cuong N V. 2009. Measuring the impact of cash crops on household expenditure and poverty in rural Vietnam. Asia-Pacific Development Journal, 16, 87–112.
Ding J, Wang Z, Liu Y, Yu F. 2020. Rural households livelihood responses to industry-based poverty alleviation as a sustainable route out of poverty. Regional Sustainability, 1, 68–81. 
Fahad S, Wang J. 2020. Climate change, vulnerability, and its impacts in rural Pakistan: A review. Environmental Science and Pollution Research, 27, 1334–1338.
Fierros-Gonzalez I, Lopez-Feldman A. 2021. Farmers’ perception of climate change: A review of the literature for Latin America. Frontiers in Environmental Science, 9, 205.
Finnis E. 2006. Why grow cash crops? Subsistence farming and crop commercialization in the Kolli Hills, South India. American Anthropologist, 108, 363–369.
Foster J H. 1988. Understanding the commercializing farmer in developing countries. Agricultural Administration and Extension, 30, 245–252.
Fosu-Mensah B Y, Vlek P L, MacCarthy D S. 2012. Farmers’ perception and adaptation to climate change: A case study of Sekyedumase district in Ghana. Environment, Development and Sustainability, 14, 495–505.
Fukase E, Martin W. 2016. Who will feed China in the 21st century? Income growth and food demand and supply in China. Journal of Agricultural Economics, 67, 3–23.
Glover S, Jones S. 2019. Can commercial farming promote rural dynamism in sub-Saharan Africa? Evidence from Mozambique. World Development, 114, 110–121.
Govereh J, Jayne T S. 2003. Cash cropping and food crop productivity: Synergies or trade-offs? Agricultural Economics, 28, 39–50.
Guo Y T. 2014. Study on the consumption trend, features and demand of edible beans in China. Food and Nutrition in China, 20, 50–53. (in Chinese)
Hassan R M, Nhemachena C. 2008. Determinants of African farmers’ strategies for adapting to climate change: Multinomial choice analysis. African Journal of Agricultural and Resource Economics, 2, 83–104.
Heckman J J. 1976. The common structure of statistical models of truncation, sample selection and limited dependent variables and a simple estimator for such models Annals of economic and social measurement. Annals of Economic and Social Measurement, 5, 475–492.
Huang C W. 2016. Research on China’s path of development-oriented poverty reduction: review and prospect. Journal of China Agricultural University (Social Sciences Edition), 33, 5–17. (in Chinese)
Huong N T L, Yao S, Fahad S. 2019. Assessing household livelihood vulnerability to climate change: The case of Northwest Vietnam. Human and Ecological Risk Assessment, 25, 1157–1175.
Hübler M. 2016. Does migration support technology diffusion in developing countries? World Development, 83, 148–162. 
Idrisa Y L, Ogunbameru B O, Ibrahim A A, Bawa D B. 2012. Analysis of awareness and adaptation to climate change among farmers in the Sahel savanna agro-ecological zone of Borno State, Nigeria. African Journal of Agricultural Research, 7, 3632–3637.
Irz X, Lin L, Thirtle C. 2001. Agricultural productivity growth and poverty alleviation. Development Policy Review, 19, 449–466.
Jensen F, Nielsen M, Ellefsen H. 2019. Defining economic welfare in fisheries. Fisheries Research, 218, 138–154
Jones S, Gibbon P. 2011. Developing agricultural markets in Sub-Saharan Africa: Organic cocoa in rural Uganda. Journal of Development Studies, 47, 1595–1618.
Kennedy E, Bouis H, von Braun J. 1992. Health and nutrition effects of cash crop production in developing countries: A comparative analysis. Social Science & Medicine, 35, 689–697.
Koesling M, Ebbesvik M, Lien G, Flaten O, Valle P S, Arntzen H. 2004. Risk and risk management in organic and conventional cash crop farming in Norway. Food Economics, 1, 195–206.
Kuma T, Dereje M, Hirvonen K, Minten B. 2019. Cash crops and food security: Evidence from Ethiopian smallholder coffee producers. Journal of Development Studies, 55, 1267–1284.
Li J, Zhang Z, Jin X, Chen J, Zhang S, He Z, Xiao H. 2018. Exploring the socio-economic and ecological consequences of cash crop cultivation for policy implications. Land Use Policy, 76, 46–57.
Li M, Gan C, Ma W, Jiang W. 2020. Impact of cash crop cultivation on household income and migration decisions: Evidence from low-income regions in China. Journal of Integrative Agriculture, 19, 2571–2581.
Li W, Ruiz-Menjivar J, Zhang L, Zhang J. 2020. Climate change perceptions and the adoption of low-carbon agricultural technologies: Evidence from rice production systems in the Yangtze River Basin. Science of the Total Environment, 759, 143554.
Liu M, Feng X, Wang S, Zhong Y. 2021. Does poverty-alleviation-based industry development improve farmers’ livelihood capital? Journal of Integrative Agriculture, 20, 915–926.
Ma J, Khan N, Gong J, Hao X, Cheng X, Chen X, Chang J, Zhang H. 2022a. From an introduced pulse variety to the principal local agricultural industry: A case study of red kidney beans in Kelan, China. Agronomy, 12, 1717.
Ma J, Qu J, Khan N, Zhang H. 2022b. Towards sustainable agricultural development for edible beans in China: Evidence from 848 households. Sustainability, 14, 9328. 
Ma W, Abdulai A. 2017. The economic impacts of agricultural cooperatives on smallholder farmers in rural China. Agribusiness, 33, 537–551. 
Ma W, Abdulai A, Ma C. 2018. The effects of off-farm work on fertilizer and pesticide expenditures in China. Review of Development Economics, 22, 573–591.
Maddison D. 2007. The perception of and adaptation to climate change in Africa. Policy Research Working Paper, No. 4308. World Bank Publications, Washington, D.C.
Masanjala W H. 2006. Cash crop liberalization and poverty alleviation in Africa: Evidence from Malawi. Agricultural Economics, 35, 231–240.
Min S, Huang J, Waibel H, Yang X, Cadisch G. 2019. Rubber boom, land use change and the implications for carbon balances in Xishuangbanna, Southwest China. Ecological Economics, 156, 57–67.
Mmbando F E, Wale E Z, Baiyegunhi L J S. 2015. Welfare impacts of smallholder farmers’ participation in maize and pigeonpea markets in Tanzania. Food Security, 7, 1211–1224.
Mtambanengwe F, Mapfumo P, Chikowo R, Chamboko T. 2012. Climate change and variability: Smallholder farming communities in Zimbabwe portray a varied understanding. African Crop Science Journal, 20, 227–241.
NBSC (National Bureau of Statistics of China). 2021. Online Statistical Database: China’s Main Agricultural Product Prices. [2021-08-02]. https://data.stats.gov.cn/easyquery.htm?cn=C01
Nordhaus W D, Tobin J. 1972. Economic Research: Retrospect and Prospect. vol. 5. Economic Growth. National Bureau of Economic Research, Cambridge, UK.
Ochoa M W S, Haertl F H, Paul C, Knoke T. 2019. Cropping systems are homogenized by off-farm income - Empirical evidence from small-scale farming systems in dry forests of southern Ecuador. Land Use Policy, 82, 204–219.
Ojo T O, Baiyegunhi L J S. 2021. Climate change perception and its impact on net farm income of smallholder rice farmers in South-West, Nigeria. Journal of Cleaner Production, 310, 127373.
Orr A. 2000. Green gold? Burley tobacco, smallholder agriculture and poverty alleviation in Malawi. World Development, 28, 347–363.
Poulton C, Tyler G, Hazell P, Dorward A, Kydd J, Stockbridge M. 2008. All-Africa review of experiences with commercial agriculture: Lessons from success and failure. Background Paper for the competitive commercial agriculture in Sub–Saharan Africa (CCAA) study. The World Bank, Washington, D.C. 
Quiggin J, Adamson D, Chambers S, Schrobback P. 2010. Climate change, uncertainty, and adaptation: The case of irrigated agriculture in the murray-darling basin in Australia. Canadian Journal of Agricultural Economics, 58, 531–554.
Su S, Zhou X, Wan C, Li Y, Kong W. 2016. Land use changes to cash crop plantations: Crop types, multilevel determinants and policy implications. Land Use Policy, 50, 379–389.
Tankari M R. 2017. Cash crops reduce the welfare of farm households in Senegal. Food Security, 9, 1105–1115.
The People’s Government of Baicheng City. 2015. Mung Bean in Baicheng City. [2015-1-10]. http://www.jlbc.gov.cn/zjbc_3289/mphc/ttcp/201612/t20161226_55166.html (in Chinese)
United Nations Statistics Division. 2005. Designing Household Survey Samples: Practical Guidelines. [2022-5-20]. https://unstats.un.org/unsd/demographic/sources/surveys/Handbook23June05.pdf 
Wang Z, Yang S, Hou X, Li J, Ma J, Zhang H, Yue H. 2022. The influence of farmers’ weather perception on their willingness to buy weather index insurance: A case study of Kelan County, Shanxi Province and Nantong County, Jiangsu Province. Chinese Journal of Agricultural Resources and Regional Planning, 43, 163–172. (in Chinese)
Weber M T, Staatz J M, Crawford E W, Bernsten R H, Holtzman J S. 1988. Informing food security decisions in Africa: Empirical analysis and policy dialogue. American Journal of Agricultural Economics, 70, 1044–1052.
Wood G, Parkinson S, Searle B, Smith S J. 2013. Motivations for equity borrowing: A welfare-switching effect. Urban Studies, 50, 2588–2607.
Woodridge J M. 2010. Econometric Analysis of Cross Section and Panel Data. 2nd ed. The Massachusetts Institure of Technology (MIT) Press, Cambridge, UK.
Woodridge J M. 2015. Introductory Econometrics: A Modern Approach. 4th ed. The South-Western Cengage Learning, USA.  
Zhang L, Hou Y, Zheng C, Liu W, He L, Guo A, Cheng L. 2019. The construction and application of assessing index to crop growing condition. Journal of Applied Meteorological Science, 30, 543–554.
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