ASSESSMENT ECONOMIC EFFICIENCY AND DETERMINATION FACTORS AFFECTING ON AGROFORESTRY MODELS AT CAM MOUNTAIN, AN GIANG PROVINCE | Niên | TNU Journal of Science and Technology

ASSESSMENT ECONOMIC EFFICIENCY AND DETERMINATION FACTORS AFFECTING ON AGROFORESTRY MODELS AT CAM MOUNTAIN, AN GIANG PROVINCE

About this article

Received: 14/01/22                Revised: 16/02/22                Published: 24/02/22

Authors

1. Nguyen Chau Nien Email to author, Nong Lam University – Ho Chi Minh City
2. Duong Le Ngoc, Nong Lam University – Ho Chi Minh City
3. Truong Minh Thuc, Nong Lam University – Ho Chi Minh City
4. Pham Huu Nguyen, Nong Lam University – Ho Chi Minh City
5. Vo Thai Dan, Nong Lam University – Ho Chi Minh City

Abstract


In recent years, the increasing demand for agricultural cultivation has put pressure on the preservation and development of forests in Cam Mountain. Various agroforestry cultivation models were applied by local households.  However, the models, which must be established as an effective cultivation system, has not been fully evaluated. The study was carried out to evaluate economic efficiency and to determine correlation factors to economic efficiency and affecting factors to the technical efficiency to agroforestry farming models. The survey was conducted from April to October 2021 in Cam Mountain. The 88 agroforestry producers were selected for this study through random sampling. Data on the status of agroforestry production, total income, and natural conditions were collected and analyzed. The result indicated that five agroforestry models were found with four group of agricultural crops that were intercropped with forest trees. Agroforestry models accounted for 62.8% total annual income of households with profits ranging from 15.5 to 61.8 million VND/ha/year. The average technical efficiency of agroforestry models reached 77.98%. Main labor, cultivated area, and plant care labor were positively correlated to total income from agroforestry models. whereas slope of cultivated land and the number of times that householders participated in training were two factors affected on technique efficiency of the agroforestry models.

Keywords


Agroforestry model; Economic efficiency; Technique efficiency; Correlation factors; Affecting factors

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References


[1] Forest Protection Department of An Giang Province, Report summarizing activities in 2018 and directions and tasks in 2019, An Giang Department of Agriculture and Rural Development, 2020.

[2] T. T. Q. Dang, V. H. Tran, and K. N. Dang, “Analysis of agroforestry farming system combined with mountainous areas of An Giang province,” Can Tho University Journal of Science, vol. 55: Environment and Climate Change (1), pp. 79-87, 2019.

[3] An Giang Statistical Office. “An Giang Statistical Yearbook 2018,” March 2021. [Online]. Available: thongkeangiang.gov.vn. [Accessed Oct. 2021].

[4] ICRAF (International Centre for Research in Agroforestry), Handbook of Agroforestry, Tokyo, Japan, 1999.

[5] J. G. Bellow, R. F. Hudson and P. K. R. Nair, “Adoption potential of fruit-tree-based agroforestry on small farms in the subtropical highlands,” Agroforestry Systems, vol. 73, no. 1, pp. 23-36, 2008.

[6] V.H. Do, N. La, R. Mulia, G. Bergkvist, A. S. Dahlin, V.T. Nguyen, H. T. Pham, and I. Öborn, “Fruit tree-based agroforestry systems for smallholder farmers in northwest Vietnam-A quantitative and qualitative assessment” Land, vol. 9, no. 11, p. 451, 2020.

[7] X. Zou and R. L. Sanford, “Agroforestry systems in China: a survey and classification,” Agroforestry systems, vol. 11, no. 1, pp. 85-94, 1990.

[8] M. G. Miah and M. J. Hussain, “Homestead agroforestry: a potential resource in Bangladesh,” In Sociology, Organic Farming, Climate Change and Soil Science, pp. 437-463. Springer, Dordrecht, 2010.

[9] The People's Committee of An Giang Province, An Giang Geography, 2013.

[10] G. D. Israel, “Determining sample size (IFAS Report PEOD6),” Retrieved from University of Florida, Institute of Food and Agricultural Sciences Extension website. [Online]. Available: http://edis.ifas.ufl.edu/pd006. [Accessed Sept. 2021].

[11] G. E. Battese and T. J. Coelli, “A model for technical inefficiency effects in a stochastic frontier production function for panel data,” Empirical Economics, 20(2), pp. 325-332, 1995.

[12] H. R. Watson, and W. A. Laquihon, “Sloping agricultural land technology: an agroforestry model for soil conservation,” Agroforestry in the Humid Tropics. Environment and Policy Institute, East-West Center, Honolulu, Hawaii and Southeast Asian Regional Center for Graduate Study and Research in Agriculture, Laguna, Philippines, pp. 209-226, 1987.

[13] H. D. Tacio, “Sloping agricultural land technology (SALT): a sustainable agroforestry scheme for the uplands,” Agroforestry Systems, vol. 22, no. 2, pp. 145-152, 1993.

[14] N. H. Dang, “Technique efficiency of dragon fruit farming households in Chau Thanh District, Long An Province,” Vietnam Journal of Agricultural Sciences, vol. 15, no. 4, pp. 537-544, 2017.




DOI: https://doi.org/10.34238/tnu-jst.5455

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