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Efficiency Analysis of the Progress of Orange Farms in Tuyen Quang Province, Vietnam towards Sustainable Development

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  • Thu Trang Tran Nguyen

    (Economics & Rural Development, Gembloux Agro-Bio Tech, University of Liege, 5030 Gembloux, Belgium
    Faculty of Economic and Business Management, Tan Trao University, Tuyen Quang 300000, Vietnam)

  • Hai Ha Le

    (Viettel Tuyen Quang Technical Branch, Tuyen Quang 300000, Vietnam)

  • Thi Minh Hop Ho

    (Economics & Rural Development, Gembloux Agro-Bio Tech, University of Liege, 5030 Gembloux, Belgium)

  • Thomas Dogot

    (Economics & Rural Development, Gembloux Agro-Bio Tech, University of Liege, 5030 Gembloux, Belgium)

  • Philippe Burny

    (Economics & Rural Development, Gembloux Agro-Bio Tech, University of Liege, 5030 Gembloux, Belgium)

  • Thi Nga Bui

    (Faculty of Accounting and Business Management, Vietnam National University of Agriculture, Hanoi 100000, Vietnam)

  • Philippe Lebailly

    (Economics & Rural Development, Gembloux Agro-Bio Tech, University of Liege, 5030 Gembloux, Belgium)

Abstract

Nowadays, Vietnam is known as a developing country with a fast-growing economy. Agriculture is the main traditional sector which plays an important role in Vietnamese economic growth and development. Improving the efficiency of agricultural production towards sustainable development is one of the country’s national economic development goals. This study aims to measure the efficiency of the orange farms which have created jobs and improved living standards for people in Tuyen Quang province, Vietnam. A comprehensive literature review, key informant interviews, and a structured questionnaire were applied in this research for data collection. The data envelopment analysis (DEA) model was applied to evaluate the technical, allocative, cost, and scale efficiencies. The main results of this analysis show that the orange farms have high scores for technical and scale efficiencies. On the other hand, the research reveals low levels of cost and allocative efficiencies. This is in line with the fact that though the farms’ owners have extensive experience in orange cultivation and receive periodic technical training, they still have low levels of education and a lack of economic management expertise. The study results also propose optimal input allocation for the orange farmers. The research could provide crucial information to farms’ owners, the local government, and agricultural planners for formulating effective strategies to improve agricultural sustainability.

Suggested Citation

  • Thu Trang Tran Nguyen & Hai Ha Le & Thi Minh Hop Ho & Thomas Dogot & Philippe Burny & Thi Nga Bui & Philippe Lebailly, 2020. "Efficiency Analysis of the Progress of Orange Farms in Tuyen Quang Province, Vietnam towards Sustainable Development," Sustainability, MDPI, vol. 12(8), pages 1-15, April.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:8:p:3170-:d:345980
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    References listed on IDEAS

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    1. Vlontzos, George & Niavis, Spyros & Manos, Basil, 2014. "A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 91-96.
    2. C. Lovell & Shawna Grosskopf & Eduardo Ley & Jesús Pastor & Diego Prior & Philippe Eeckaut, 1994. "Linear programming approaches to the measurement and analysis of productive efficiency," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 2(2), pages 175-248, December.
    3. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Joseph Paradi & Mette Asmild & Paul Simak, 2004. "Using DEA and Worst Practice DEA in Credit Risk Evaluation," Journal of Productivity Analysis, Springer, vol. 21(2), pages 153-165, March.
    6. Blancard, Stéphane & Martin, Elsa, 2014. "Energy efficiency measurement in agriculture with imprecise energy content information," Energy Policy, Elsevier, vol. 66(C), pages 198-208.
    7. Joseph Paradi & Fai Tam, 2012. "The examination of pseudo-allocative and pseudo-overall efficiencies in DEA using shadow prices," Journal of Productivity Analysis, Springer, vol. 37(2), pages 115-123, April.
    8. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    9. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, September.
    10. Fare, R. & Grabowski, R. & Grosskopf, S. & Kraft, S., 1997. "Efficiency of a fixed but allocatable input: A non-parametric approach," Economics Letters, Elsevier, vol. 56(2), pages 187-193, October.
    11. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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