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Determinants of Farmer Participation and Development of Shallot Farming in Search of Effective Farm Management Practices: Evidence Grounded in Structural Equation Modeling Results

Author

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  • Andi Amran Asriadi

    (Study Program of Agricultural Science, Graduate School of Hasanuddin University, Makassar 90245, Indonesia
    Agribusiness Study Program, Faculty of Agriculture, Universitas Muhammadiyah Makassar, Jl. Sultan Alauddin No. 259, Makassar 90221, Indonesia)

  • Muslim Salam

    (Department of Socio-Economics of Agriculture, Faculty of Agriculture, University of Hasanuddin, Makassar 90245, Indonesia)

  • Rahmawaty Andi Nadja

    (Department of Socio-Economics of Agriculture, Faculty of Agriculture, University of Hasanuddin, Makassar 90245, Indonesia)

  • Letty Fudjaja

    (Department of Socio-Economics of Agriculture, Faculty of Agriculture, University of Hasanuddin, Makassar 90245, Indonesia)

  • Didi Rukmana

    (Department of Socio-Economics of Agriculture, Faculty of Agriculture, University of Hasanuddin, Makassar 90245, Indonesia)

  • Muhammad Hatta Jamil

    (Department of Socio-Economics of Agriculture, Faculty of Agriculture, University of Hasanuddin, Makassar 90245, Indonesia)

  • Muhammad Arsyad

    (Department of Socio-Economics of Agriculture, Faculty of Agriculture, University of Hasanuddin, Makassar 90245, Indonesia)

  • Rahmadanih

    (Department of Socio-Economics of Agriculture, Faculty of Agriculture, University of Hasanuddin, Makassar 90245, Indonesia)

  • Rafiqah Maulidiyah

    (Department of Socio-Economics of Agriculture, Faculty of Agriculture, University of Hasanuddin, Makassar 90245, Indonesia)

Abstract

The objective of this research was to examine the determinants of farmer participation and shallot-farming development in search of effective farm management practices. The study used structural equation modeling data analysis. The primary data were collected from direct structural interviews with 150 randomly chosen shallot farmers in Bantaeng Regency, Indonesia. It was found that the latent variables of Physical Aspects of Land, System of Economy Peasant Society, and System of Political Peasant Society were fundamental factors that exerted a positive and significant influence on the latent variable of Farmer Participation. Therefore, improvements in the physical aspects of the land, the economic framework, and the political structure of agricultural communities could promote farmer participation. Furthermore, the latent variable of Farmer Participation and System of Political Peasant Society had a positive and significant impact on shallot-farming development. Thus, by increasing the influence of government officials and community leaders, shallot farming can be promoted. The farmers can then enhance their participation in shallot-farming plan formulation and implementation, providing the continued development of shallot farming. The findings of this study contribute significantly to the body of knowledge by validating previous research and proposing different ways to improve effective farm management practices in shallot farming.

Suggested Citation

  • Andi Amran Asriadi & Muslim Salam & Rahmawaty Andi Nadja & Letty Fudjaja & Didi Rukmana & Muhammad Hatta Jamil & Muhammad Arsyad & Rahmadanih & Rafiqah Maulidiyah, 2024. "Determinants of Farmer Participation and Development of Shallot Farming in Search of Effective Farm Management Practices: Evidence Grounded in Structural Equation Modeling Results," Sustainability, MDPI, vol. 16(15), pages 1-30, July.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6332-:d:1441886
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    References listed on IDEAS

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    1. Saptana & Endro Gunawan & Atika Dyah Perwita & Syahrul Ganda Sukmaya & Valeriana Darwis & Ening Ariningsih & Ashari, 2021. "The competitiveness analysis of shallot in Indonesia: A Policy Analysis Matrix," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-19, September.
    2. Chien-Chiang Lee & En-Ze Wang, 2021. "Economic Complexity and Income Inequality: Does Country Risk Matter?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(1), pages 35-60, February.
    3. Charles Kivunja, 2018. "Distinguishing between Theory, Theoretical Framework, and Conceptual Framework: A Systematic Review of Lessons from the Field," International Journal of Higher Education, Sciedu Press, vol. 7(6), pages 1-44, December.
    4. Sutardi & Kristamtini & Heni Purwaningsih & Setyorini Widyayanti & Forita Dyah Arianti & Miranti Dian Pertiwi & Joko Triastono & Raden Heru Praptana & Afrizal Malik & Intan Gilang Cempaka & Yusuf & Mu, 2022. "Nutrient Management of Shallot Farming in Sandy Loam Soil in Tegalrejo, Gunungkidul, Indonesia," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    5. Dash, Ganesh & Paul, Justin, 2021. "CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
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