IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2022i1p65-d1009825.html
   My bibliography  Save this article

Agricultural Livelihood Types and Type-Specific Drivers of Crop Production Diversification: Evidence from Aral Sea Basin Region

Author

Listed:
  • Akmal Akramkhanov

    (International Center for Agricultural Research in the Dry Areas (ICARDA), Street Osiyo 6/107, Tashkent 100084, Uzbekistan)

  • Adkham Akbarov

    (International Center for Agricultural Research in the Dry Areas (ICARDA), Street Osiyo 6/107, Tashkent 100084, Uzbekistan)

  • Shakhzoda Umarova

    (International Center for Agricultural Research in the Dry Areas (ICARDA), Street Osiyo 6/107, Tashkent 100084, Uzbekistan)

  • Quang Bao Le

    (International Center for Agricultural Research in the Dry Areas (ICARDA), 2 Port Said, Victoria Sq., Ismail El-Shaaer Building, Maadi, Cairo 11728, Egypt)

Abstract

Understanding the factors driving the farmers’ decisions to diversify their crop production is important for management strategies and policies promoting climate-smart agricultural development. Options for diversification and its associated drivers might be shaped by livelihood context, and it remains as a general gap in knowledge. This study aimed to reveal the driving factors behind households’ decisions to diversify their crops in different livelihood contexts. This information could be useful to inform stakeholders on a set of context-fitted options for improving natural resources and rural livelihood resilience to climatic variability and risks. This study applied the Sustainable Livelihood Framework (SLF) to guide surveys and multivariate analyses that identified agricultural livelihood context types at the village level, and also evaluated both the common and type-specific drivers encouraging households to diversify their agricultural production in two rural villages in the Aral Sea region. This study objectively identified three distinct agricultural livelihood types and the main factors differentiating these types from each other. When the total sampled population was analyzed, the results indicated that the agricultural experience of the household heads, levels of education, sources of income, number of cattle and land endowments, and proximity to markets were common and significant drivers in diversifying these households’ crop production. Analyzing the decisions behind diversifying crop production for each agricultural livelihood type revealed type-specific drivers of diversification. The findings suggested that considering both common and type-specific drivers of diversification would allow better understanding of household decisions and provide more insights to develop effective policies promoting climate-smart agriculture through diversification, rather than continuing to use the current “uniform blanket” approach.

Suggested Citation

  • Akmal Akramkhanov & Adkham Akbarov & Shakhzoda Umarova & Quang Bao Le, 2022. "Agricultural Livelihood Types and Type-Specific Drivers of Crop Production Diversification: Evidence from Aral Sea Basin Region," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
  • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:65-:d:1009825
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/1/65/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/1/65/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Quang Bao Le & Boubaker Dhehibi, 2019. "A Typology-Based Approach for Assessing Qualities and Determinants of Adoption of Sustainable Water Use Technologies in Coping with Context Diversity: The Case of Mechanized Raised-Bed Technology in E," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    2. Nicholas A. Lancaster & Ariana P. Torres, 2019. "Investigating the Drivers of Farm Diversification Among U.S. Fruit and Vegetable Operations," Sustainability, MDPI, vol. 11(12), pages 1-20, June.
    3. Sikhulumile Sinyolo & Conrad Murendo & Admire Mutsa Nyamwanza & Sithembile Amanda Sinyolo & Catherine Ndinda & Chijioke Osinachi Nwosu, 2021. "Farm Production Diversification and Dietary Diversity among Subsistence Farming Households: Panel Data Evidence from South Africa," Sustainability, MDPI, vol. 13(18), pages 1-14, September.
    4. Nguyen, Trung Thanh & Nguyen, Loc Duc & Lippe, Rattiya Suddeephong & Grote, Ulrike, 2017. "Determinants of Farmers’ Land Use Decision-Making: Comparative Evidence From Thailand and Vietnam," World Development, Elsevier, vol. 89(C), pages 199-213.
    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. Do, Manh Hung & Nguyen, Trung Thanh & Grote, Ulrike, 2023. "Land consolidation, rice production, and agricultural transformation: Evidence from household panel data for Vietnam," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 157-173.
    2. Nguyen, Trung Thanh & Nghiem, Nhung, 2016. "Optimal forest rotation for carbon sequestration and biodiversity conservation by farm income levels," Forest Policy and Economics, Elsevier, vol. 73(C), pages 185-194.
    3. Mai, Nhat Chi, 2022. "Socioeconomic effects of collectivist and individualist education: A comparison between North and South Vietnam," OSF Preprints n9pyw, Center for Open Science.
    4. Dinh, Hoang Huu & Nguyen, Trung Thanh & Hoang, Viet-Ngu & Wilson, Clevo, 2017. "Economic incentive and factors affecting tree planting of rural households: Evidence from the Central Highlands of Vietnam," Journal of Forest Economics, Elsevier, vol. 29(PA), pages 14-24.
    5. Yuquan W. Zhang & Jianhong E. Mu & Mark Musumba & Bruce A. McCarl & Xiaokun Gu & Yuanfei Zhou & Zhengwei Cao & Qiang Li, 2018. "The Role of Climate Factors in Shaping China’s Crop Mix: An Empirical Exploration," Sustainability, MDPI, vol. 10(10), pages 1-17, October.
    6. Nguyen, Trung Thanh & Nguyen, Thanh-Tung & Hoang, Viet-Ngu & Wilson, Clevo & Managi, Shunsuke, 2019. "Energy transition, poverty and inequality in Vietnam," Energy Policy, Elsevier, vol. 132(C), pages 536-548.
    7. Nguyen, Trung Thanh & Nguyen, Thanh-Tung & Hoang, Viet-Ngu & Wilson, Clevo, 2019. "Energy transition, poverty and inequality: panel evidence from Vietnam," MPRA Paper 107182, University Library of Munich, Germany, revised 10 May 2019.
    8. Nguyen, Trung Thanh & Do, Truong Lam & Halkos, George & Wilson, Clevo, 2020. "Health shocks and natural resource extraction: A Cambodian case study," Ecological Economics, Elsevier, vol. 169(C).
    9. Wang, Ying & Bilsborrow, Richard E. & Zhang, Qi & Li, Jiangfeng & Song, Conghe, 2019. "Effects of payment for ecosystem services and agricultural subsidy programs on rural household land use decisions in China: Synergy or trade-off?," Land Use Policy, Elsevier, vol. 81(C), pages 785-801.
    10. Trung Thanh Nguyen & Manh Hung Do, 2022. "Female rural–urban migrants and online marketplaces in emerging economies: Evidence from Thailand and Vietnam," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 9(3), pages 317-342, September.
    11. Parvathi, Priyanka & Nguyen, Trung Thanh, 2018. "Is Environmental Income Reporting Evasive in Household Surveys? Evidence From Rural Poor in Laos," Ecological Economics, Elsevier, vol. 143(C), pages 218-226.
    12. Oliver Schulte & Julian Mumber & Trung Thanh Nguyen, 2023. "Agricultural commercialisation, asset growth and poverty in rural Vietnam," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(3), pages 388-416, July.
    13. Duyen, Tran Nhat Lam & Tien, Nguyen Dinh & Ngoc, Nong Nguyen Khanh & Thuy, Pham Thu & Tich, Vu Van, 2022. "Determinants of swidden communities’ land-use decision-making for different crops in Son La and Nghe An provinces, Vietnam," Land Use Policy, Elsevier, vol. 119(C).
    14. Nguyen, Trung Thanh & Do, Truong Lam & Parvathi, Priyanka & Wossink, Ada & Grote, Ulrike, 2018. "Farm production efficiency and natural forest extraction: Evidence from Cambodia," Land Use Policy, Elsevier, vol. 71(C), pages 480-493.
    15. Hanna Adam, 2020. "Socioeconomic effects of collectivist and individualist education: A comparison between North and South Vietnam," TVSEP Working Papers wp-020, Leibniz Universitaet Hannover, Institute of Development and Agricultural Economics, Project TVSEP.
    16. Nguyen, Duc Loc & Grote, Ulrike & Nguyen, Trung Thanh, 2019. "Migration, crop production and non-farm labor diversification in rural Vietnam," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 175-187.
    17. Huy, Hoang Trieu & Nguyen, Trung Thanh, 2019. "Cropland rental market and farm technical efficiency in rural Vietnam," Land Use Policy, Elsevier, vol. 81(C), pages 408-423.
    18. Xin Deng & Miao Zeng & Dingde Xu & Yanbin Qi, 2022. "Why do landslides impact farmland abandonment? Evidence from hilly and mountainous areas of rural China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(1), pages 699-718, August.
    19. Trung Thanh Nguyen & Manh Hung Do & Dil B. Rahut & Viet Hung Nguyen & Panharoth Chhay, 2023. "Female leadership, internet use, and performance of agricultural cooperatives in Vietnam," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 877-903, September.
    20. Trung Thanh Nguyen & Manh Hung Do, 2022. "Female migrants and online market participation in rural Southeast Asia," TVSEP Working Papers wp-026, Leibniz Universitaet Hannover, Institute of Development and Agricultural Economics, Project TVSEP.

    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:jsusta:v:15:y:2022:i:1:p:65-:d:1009825. 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.