IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i22p14870-d970357.html
   My bibliography  Save this article

Cultivated Land Input Behavior of Different Types of Rural Households and Its Impact on Cultivated Land-Use Efficiency: A Case Study of the Yimeng Mountain Area, China

Author

Listed:
  • Yuanhe Yu

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China
    School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China)

  • Jinkuo Lin

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Peixiang Zhou

    (School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Shuwei Zheng

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Zijun Li

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

Abstract

Analyzing cultivated land input behavior (CLIB) at the scale of rural households links with cultivated land-use efficiency (CLUE), this study examined the Yimeng Mountain area in northern China, supported by field survey data from 737 rural households. This research systematically analyzed the characteristics of CLIB of different types of rural households, measured the CLUE of different types of rural households by using a data envelopment analysis (DEA) model, and explored the influence of CLIB on CLUE based on the Tobit regression model. The results show (1) significant differences in the characteristics of the CLIB of different types of rural households in the Yimeng Mountain area. Among them, the highest land, labor, and capital inputs were I part-time rural households ( I PTRH ), followed by full-time rural households ( FTRH ). In contrast, II part-time rural households ( II PTRH ) and non-agricultural rural households ( NARH ) had higher levels of non-agricultural employment; however, their input levels gradually declined. (2) The CLUE of the sample rural households was generally low and had considerable potential for improvement. Regarding the types of rural households, as the degree of part-time employment increased, the CLUE showed an inverted U-shaped trend of first increased and then decreased, namely, I PTRH > FTRH > II PTRH > NARH . This finding indicates that appropriate part-time employment could help to promote investment in agricultural production and improve the CLUE. (3) The CLIB of rural households had significant effects on CLUE; the literacy of the agricultural labor force, yield-increasing input per unit area, per capita household income, share of agricultural income, operation scale of cultivated land, effective irrigation rate of cultivated land, and soil and water conservation rate of cultivated land had positive effects on improving CLUE. Even so, there was still significant heterogeneity in the degree of influence of different rural household types. The study concluded with some policy recommendations from the perspective of different rural household types to provide references for optimizing farming inputs and improving CLUE.

Suggested Citation

  • Yuanhe Yu & Jinkuo Lin & Peixiang Zhou & Shuwei Zheng & Zijun Li, 2022. "Cultivated Land Input Behavior of Different Types of Rural Households and Its Impact on Cultivated Land-Use Efficiency: A Case Study of the Yimeng Mountain Area, China," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:14870-:d:970357
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/22/14870/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/22/14870/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mahdhi Naceur & Sghaier Mongi, 2013. "The Technical Efficiency of Collective Irrigation Schemes in South-Eastern of Tunisia," International Journal of Sustainable Development & World Policy, Conscientia Beam, vol. 2(6), pages 87-103.
    2. Yang, Jin & Wan, Qian & Bi, Wu, 2020. "Off-farm employment and grain production change: New evidence from China," China Economic Review, Elsevier, vol. 63(C).
    3. Busso, Matias & Chauvin, Juan Pablo & Herrera L., Nicolás, 2021. "Rural-urban migration at high urbanization levels," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    4. Selod, Harris & Shilpi, Forhad, 2021. "Rural-urban migration in developing countries: Lessons from the literature," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    5. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    6. Bin Yang & Zhanqi Wang & Bo Zhang & Di Zhang, 2020. "Allocation Efficiency, Influencing Factors and Optimization Path of Rural Land Resources: A Case Study in Fang County of Hubei Province, China," IJERPH, MDPI, vol. 17(16), pages 1-16, August.
    7. Xie, Hualin & Chen, Qianru & Wang, Wei & He, Yafen, 2018. "Analyzing the green efficiency of arable land use in China," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 15-28.
    8. Yuanhe Yu & Liang Wang & Jinkuo Lin & Zijun Li, 2022. "Optimizing Agricultural Input and Production for Different Types of at-Risk Peasant Households: An Empirical Study of Typical Counties in the Yimeng Mountain Area of Northern China," IJERPH, MDPI, vol. 19(21), pages 1-22, October.
    9. Min Zhou & Hua Zhang & Nan Ke, 2022. "Cultivated Land Transfer, Management Scale, and Cultivated Land Green Utilization Efficiency in China: Based on Intermediary and Threshold Models," IJERPH, MDPI, vol. 19(19), pages 1-20, October.
    10. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    11. Vera Chiodi & Esteban Jaimovich & Gabriel Montes-Rojas, 2012. "Migration, Remittances and Capital Accumulation: Evidence from Rural Mexico," Journal of Development Studies, Taylor & Francis Journals, vol. 48(8), pages 1139-1155, February.
    12. Agnes Quisumbing & Scott McNiven, 2010. "Moving Forward, Looking Back: the Impact of Migration and Remittances on Assets, Consumption, and Credit Constraints in the Rural Philippines," Journal of Development Studies, Taylor & Francis Journals, vol. 46(1), pages 91-113.
    13. Fang Su & Jiangbo Chang & Haiyang Shang, 2021. "Coupling Coordination Analysis of Livelihood Efficiency and Land Use for Households in Poverty-Alleviated Mountainous Areas," Land, MDPI, vol. 10(11), pages 1-28, October.
    14. Ji, Yueqing & Yu, Xiaohua & Zhong, Funing, 2012. "Machinery investment decision and off-farm employment in rural China," China Economic Review, Elsevier, vol. 23(1), pages 71-80.
    15. Feng, Lei & Zhang, Minghui & Li, Yixin & Jiang, Yan, 2020. "Satisfaction principle or efficiency principle? Decision-making behavior of peasant households in China’s rural land market," Land Use Policy, Elsevier, vol. 99(C).
    16. Amy Lynne Damon, 2010. "Agricultural Land Use and Asset Accumulation in Migrant Households: the Case of El Salvador," Journal of Development Studies, Taylor & Francis Journals, vol. 46(1), pages 162-189.
    17. Y. Zhu & Z. Wu & L. Peng & L. Sheng, 2014. "Where did all the remittances go? Understanding the impact of remittances on consumption patterns in rural China," Applied Economics, Taylor & Francis Journals, vol. 46(12), pages 1312-1322, April.
    18. Su, Mo & Guo, Renzhong & Hong, Wuyang, 2019. "Institutional transition and implementation path for cultivated land protection in highly urbanized regions: A case study of Shenzhen, China," Land Use Policy, Elsevier, vol. 81(C), pages 493-501.
    19. Zhao, Sudan & Jiang, Yongmu, 2022. "Heterogeneous effects of rural–urban migration and migrant earnings on land efficiency: Empirical evidence from China," Land Use Policy, Elsevier, vol. 115(C).
    20. Eder, Andreas & Salhofer, Klaus & Scheichel, Eva, 2021. "Land tenure, soil conservation, and farm performance: An eco-efficiency analysis of Austrian crop farms," Ecological Economics, Elsevier, vol. 180(C).
    21. Ito, Junichi, 2010. "Inter-regional difference of agricultural productivity in China: Distinction between biochemical and machinery technology," China Economic Review, Elsevier, vol. 21(3), pages 394-410, September.
    22. J. Edward Taylor & Alejandro Lopez-Feldman, 2010. "Does Migration Make Rural Households More Productive? Evidence from Mexico," Journal of Development Studies, Taylor & Francis Journals, vol. 46(1), pages 68-90.
    23. Alan De Brauw, 2010. "Seasonal Migration and Agricultural Production in Vietnam," Journal of Development Studies, Taylor & Francis Journals, vol. 46(1), pages 114-139.
    24. Yu, Peiheng & Fennell, Shailaja & Chen, Yiyun & Liu, Hui & Xu, Lu & Pan, Jiawei & Bai, Shaoyun & Gu, Shixiang, 2022. "Positive impacts of farmland fragmentation on agricultural production efficiency in Qilu Lake watershed: Implications for appropriate scale management," Land Use Policy, Elsevier, vol. 117(C).
    25. Wu, Harry X. & Meng, Xin, 1996. "Do Chinese farmers reinvest in grain production?," China Economic Review, Elsevier, vol. 7(2), pages 123-134.
    26. Chen, Hang & Meng, Fei & Yu, Zhenning & Tan, Yongzhong, 2022. "Spatial–temporal characteristics and influencing factors of farmland expansion in different agricultural regions of Heilongjiang Province, China," Land Use Policy, Elsevier, vol. 115(C).
    27. repec:hal:pseose:hal-00813389 is not listed on IDEAS
    28. Ying Chen & Suran Li & Long Cheng, 2020. "Evaluation of Cultivated Land Use Efficiency with Environmental Constraints in the Dongting Lake Eco-Economic Zone of Hunan Province, China," Land, MDPI, vol. 9(11), pages 1-15, November.
    29. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    30. Hong Tang & Jian Liu & Xiaowen Dai & Yun Zhang & Wendai He & Qi Yin & Feng Huang & Ruiping Ran & Yunqiang Liu, 2022. "Household Groups’ Land Use Decisions Investigation Based on Perspective of Livelihood Heterogeneity in Sichuan Province, China," IJERPH, MDPI, vol. 19(15), pages 1-26, August.
    31. Fleur Wouterse, 2010. "Migration and technical efficiency in cereal production: evidence from Burkina Faso," Agricultural Economics, International Association of Agricultural Economists, vol. 41(5), pages 385-395, September.
    32. de Brauw, Alan & Rozelle, Scott, 2008. "Migration and household investment in rural China," China Economic Review, Elsevier, vol. 19(2), pages 320-335, June.
    33. Paltasingh, Kirtti Ranjan & Basantaray, Amit Kumar & Jena, Pabitra Kumar, 2022. "Land tenure security and farm efficiency in Indian agriculture: Revisiting an old debate," Land Use Policy, Elsevier, vol. 114(C).
    34. Adams, Richard H., Jr. & Cuecuecha, Alfredo, 2010. "The economic impact of international remittances on poverty and household consumption and investment in Indonesia," Policy Research Working Paper Series 5433, The World Bank.
    35. Zhao, Yaohui, 2002. "Causes and Consequences of Return Migration: Recent Evidence from China," Journal of Comparative Economics, Elsevier, vol. 30(2), pages 376-394, June.
    36. Chaozheng Zhang & Yangyue Su & Gangqiao Yang & Danling Chen & Rongxuan Yang, 2020. "Spatial-Temporal Characteristics of Cultivated Land Use Efficiency in Major Function-Oriented Zones: A Case Study of Zhejiang Province, China," Land, MDPI, vol. 9(4), pages 1-20, April.
    37. Yi Qu & Xiao Lyu & Wenlong Peng & Zongfei Xin, 2021. "How to Evaluate the Green Utilization Efficiency of Cultivated Land in a Farming Household? A Case Study of Shandong Province, China," Land, MDPI, vol. 10(8), pages 1-18, July.
    38. MAHDHI Naceur & SGHAIER Mongi, 2013. "The Technical Efficiency of Collective Irrigation Schemes in South-Eastern of Tunisia," International Journal of Sustainable Development & World Policy, Conscientia Beam, vol. 2(6), pages 87-103.
    39. Zhou, Hong & Yan, Jianzhong & Lei, Kun & Wu, Ya & Sun, Laixiang, 2020. "Labor migration and the decoupling of the crop-livestock system in a rural mountainous area: Evidence from Chongqing, China," Land Use Policy, Elsevier, vol. 99(C).
    40. Xinyi Li & Xiong Wang & Xiaoqing Song, 2021. "Impacts of Agricultural Capitalization on Regional Paddy Field Change: A Production-Factor Substitution Perspective," IJERPH, MDPI, vol. 18(4), pages 1-18, February.
    41. Chenggang Wang & Nicholas Rada & Lijian Qin & Suwen Pan, 2014. "Impacts of Migration on Household Production Choices: Evidence from China," Journal of Development Studies, Taylor & Francis Journals, vol. 50(3), pages 413-425, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuanhe Yu & Liang Wang & Jinkuo Lin & Zijun Li, 2022. "Optimizing Agricultural Input and Production for Different Types of at-Risk Peasant Households: An Empirical Study of Typical Counties in the Yimeng Mountain Area of Northern China," IJERPH, MDPI, vol. 19(21), pages 1-22, October.
    2. Ubaid Ali & Mazhar Mughal & Lionel de Boisdeffre, 2023. "Migrant remittances, agriculture investment and cropping patterns," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 899-920, September.
    3. Song, Donghui & Chen, Tong Zhang Po & Chen, Fengbo, 2021. "Heterogeneous Effects of Off-farm Employment on Production Choices of Rice Farmers in China," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329415, Asian Society of Agricultural Economists (ASAE).
    4. Marcus H. Böhme, 2015. "Does migration raise agricultural investment? An empirical analysis for rural Mexico," Agricultural Economics, International Association of Agricultural Economists, vol. 46(2), pages 211-225, March.
    5. Zhao, Sudan & Jiang, Yongmu, 2022. "Heterogeneous effects of rural–urban migration and migrant earnings on land efficiency: Empirical evidence from China," Land Use Policy, Elsevier, vol. 115(C).
    6. Qianru Chen & Hualin Xie, 2019. "Temporal-Spatial Differentiation and Optimization Analysis of Cultivated Land Green Utilization Efficiency in China," Land, MDPI, vol. 8(11), pages 1-17, October.
    7. Eva-Maria Egger & Julie Litchfield, 2019. "Following in their footsteps: an analysis of the impact of successive migration on rural household welfare in Ghana," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 9(1), pages 1-22, December.
    8. Nan Ke & Xupeng Zhang & Xinhai Lu & Bing Kuang & Bin Jiang, 2022. "Regional Disparities and Influencing Factors of Eco-Efficiency of Arable Land Utilization in China," Land, MDPI, vol. 11(2), pages 1-17, February.
    9. Karamba, Wendy R. & Quiñones, Esteban J. & Winters, Paul, 2011. "Migration and food consumption patterns in Ghana," Food Policy, Elsevier, vol. 36(1), pages 41-53, February.
    10. Min Zhou & Bing Kuang & Min Zhou & Nan Ke, 2022. "The Spatial and Temporal Evolution of the Coordination Degree in Regard to Farmland Transfer and Cultivated Land Green Utilization Efficiency in China," IJERPH, MDPI, vol. 19(16), pages 1-16, August.
    11. Yang, Jin & Wan, Qian & Bi, Wu, 2020. "Off-farm employment and grain production change: New evidence from China," China Economic Review, Elsevier, vol. 63(C).
    12. Piras, Simone & Vittuari, Matteo & Möllers, Judith & Herzfeld, Thomas, 2018. "Remittance inflow and smallholder farming practices. The case of Moldova," Land Use Policy, Elsevier, vol. 70(C), pages 654-665.
    13. Junaid Ahmed & Mazhar Mughal & Stephan Klasen, 2018. "Great Expectations? Remittances and Asset Accumulation in Pakistan," Journal of International Development, John Wiley & Sons, Ltd., vol. 30(3), pages 507-532, April.
    14. Hua Zhang & Qiwang Zhang & Man An & Zixuan Zhang & Nanqiao He, 2023. "Unveiling the Impact of Digital Financial Inclusion on Low-Carbon Green Utilization of Farmland: The Roles of Farmland Transfer and Management Scale," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    15. Randazzo, Teresa & Pavanello, Filippo & De Cian, Enrica, 2023. "Adaptation to climate change: Air-conditioning and the role of remittances," Journal of Environmental Economics and Management, Elsevier, vol. 120(C).
    16. Lijuan Xu & Abbas Ali Chandio & Jingyi Wang & Yuansheng Jiang, 2022. "Does Farmland Tenancy Improve Household Asset Allocation? Evidence from Rural China," Land, MDPI, vol. 12(1), pages 1-22, December.
    17. Mengna Li & Li Tan & Xi Yang, 2023. "The Impact of Environmental Regulation on Cultivated Land Use Eco-Efficiency: Evidence from China," Agriculture, MDPI, vol. 13(9), pages 1-20, August.
    18. Donghui Song & Fengbo Chen & Xi Ouyang, 2024. "The Impact of Changes in Rural Family Structure on Agricultural Productivity and Efficiency: Evidence from Rice Farmers in China," Sustainability, MDPI, vol. 16(10), pages 1-20, May.
    19. Ruixin Zhang & Lei Luo & Yuying Liu & Xinhong Fu, 2022. "Impact of Labor Migration on Chemical Fertilizer Application of Citrus Growers: Empirical Evidence from China," Sustainability, MDPI, vol. 14(13), pages 1-14, June.
    20. Jin Yang & Hui Wang & Songqing Jin & Kevin Chen & Jeffrey Riedinger & Chao Peng, 2016. "Migration, local off-farm employment, and agricultural production efficiency: evidence from China," Journal of Productivity Analysis, Springer, vol. 45(3), pages 247-259, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:14870-:d:970357. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.