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Fertilizers, Pesticides and Herbicides Use Efficiency of Rice Monoculture Farms at the Coastal Region in Vietnam’s Mekong Delta during the Winter-Spring Crop

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  • Thai Dang Khoa

    (College of Economics, Cantho University, Vietnam)

  • Vo Thanh Danh

    (College of Economics, Cantho University, Vietnam)

Abstract

This study evaluates the technical efficiency and input utilization of rice monoculture farms in the coastal region of Vietnam’s Mekong Delta during the Winter-Spring crop season. Using the Slack-Based Measure Data Envelopment Analysis (SBM-DEA) model, the study analyzes input redundancy and identifies inefficiencies in the use of fertilizers, pesticides, herbicides, and irrigation resources. Based on a survey of 342 farms across five provinces, results reveal that the average technical efficiency score is 0.662, with only 12.9% of farms achieving optimal efficiency. Pesticides and irrigation were the most overused inputs, with redundancy rates of 21% and 15%, respectively, while seed use showed the lowest inefficiency at 5.95%. Determinants of efficiency included gender, farm size, and irrigation systems, with male-headed farms and larger plots exhibiting higher efficiency.

Suggested Citation

  • Thai Dang Khoa & Vo Thanh Danh, 2025. "Fertilizers, Pesticides and Herbicides Use Efficiency of Rice Monoculture Farms at the Coastal Region in Vietnam’s Mekong Delta during the Winter-Spring Crop," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(6), pages 5747-5758, June.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-6:p:5747-5758
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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