Implications of policy analysis matrix for competitiveness of Tuong-mango in Dong Nai, Vietnam

Kiet Hong Vo Tuan Truong, Sang Minh Vo, Phong Hai Nhat Nguyen, Thien Chi Ngo, Hung Vu Nguyen, An Huu Huynh

Article ID: 3077
Vol 8, Issue 5, 2024

VIEWS - 136 (Abstract) 50 (PDF)

Abstract


Purpose: The aim of the study is to apply policy analysis matrix (PAM) to identify international competitiveness of marketing channels and policy impacts of government on each marketing channels. Methodology: Policy analysis matrix is employed to evaluate influences of macroeconomic policy on the Tuong-mango value chain. The study investigated 213 sampling observation of eight main actors in chain. Findings: The findings indicate that although domestic channel 4 exhibits competitiveness (Private cost ratio (PRC) < 1), channels 1, 2, and 3 possess both comparative and competitive advantages (PRC < 1, Domestic Resource Cost (DRC) < 1, and social benefit-cost (SBC) > 1). The government’s strategy on production protection, referred to as Nominal protection coefficient on tradable output (NPCO) 0.16, together with the plan for enhancing added value, denoted as Effective protection coefficient (EPC) 0.14 and Subsidy ratio to producers (SRP) −0.18, place a significant emphasis on the first export channel. The government’s subsidy plan grants preferential treatment to Channel 4 in terms of the pricing of commercially available products, with a Nominal protection coefficient on tradable input (NPCI) value of 0.75. A value-added strategy is implemented for export channels 2 and 3, which have EPCs of 0.76 and 0.85, respectively. Policy implications: If the tradable cost is modified by 20%, there will be a change in the ratio of DRC, SBC, EPC, and SRP. While the EPC does not see a 20% reduction in domestic prices, the DRC and SBC do benefit from this cost reduction. A reduction of 20% in the local cost, coupled with a corresponding rise of 20% in the Free on Board (FOB) price, would result in a significant elevation of the SRP for export channels 1, 2, and 3. Conclusion: This is as evidence for the combination of quantitative is a dynamic tool in the policymaking process to ensure targets, constrictions, and consistent policies for agricultural fields. This permits policies to be changed in steps with an alteration in the economy and priorities set up for the tropical fruits and vegetables field.


Keywords


Tuong-mango; competitiveness; profit; social price; Dong Nai

Full Text:

PDF


References


Akter, S., Jabbar, M. A., & Ehui, S. (2003). Competitiveness and efficiency in poultry and pig production in Vietnam. Paper presented at the Socio-economics and Policy Research. International Livestock Research Institute (ILRI), Kenya.

América, I. Z. T., & José, C. L. N. C. (2011). Comparative advantage in regional agriculture of guava. International Research Journal of Agricultural Science and Soil Science, 1(11), 491-496.

Babiker, N. O. (2012). Impact analysis of government agricultural policy on the production of cotton, sorghum, and groundnut in New Halfa Agricultural Production Corporation, Sudan.

Bushara, M. O. A., Elnagarabi, E. E. M., & Ibrahim, I. O. A. (2018). Impact analysis of government policies on the economic performance of some horticultural crops in the Sudan (2009-2013). Arabian journal of business and management review, 8(4), 361-372.

Familusi, L. C., Diriba, S., Aniambossou, I., Come, E., et al. (2015). Comparative advantage of tomato production between Mozambique and South Africa: An application of domestic resource cost (DRC) analysis. Journal of Agriculture, Rural and Community Development, 2(1), 36-45.

FAO (Food and Agriculture Organization). (2020). Medium-term Outlook: Prospects for global production and trade in bananas and tropical fruits 2019 to 2028. Rome: Food and agriculture organization of the United Nations.

FAO (Food and Agriculture Organization). (2021). Fruit and vegetables—your dietary essentials. Rome: Food and agriculture organization of the United Nations.

FAOSTAT. (2019). Available online: http://www.fao.org/faostat/en/#rankings/countries_by_commodity (accessed on 2 June 2023).

Gonzales L. A., Kasryno, F., Perez, N. D., & Rosegrant, M. W. (1993). Economic incentives and comparative advantage in Indonesian food crop production. (Research Report No. 93). Washington: International Food Policy Research Institute, the U.S.

GSO (General Statistic Office) (2022). Statistical Yearbook 2021. The General Statistic Office of Vietnam (GSO). Hanoi city: Statistical Publishing House.

Khan, A., Farooq, A., & Saddozai, K. N. (2006). Comparative advantage of sugarcane production in Pakistan. The Bangladesh Journal of Agricultural Economics, 29(1-2), 69-79.

Khoi, C. (2021). Vietnamese mango into the world, with export growth of 16.5% in the first quarter of 2021. (In Vietnamese). Available online: https://vneconomy.vn/xoai-viet-ra-the-gioi-xuat-khau-tang-truong-165-trong-quy-1-20210409144035179.htm (accessed on 2 June 2023).

Kouakou, P-A. (2019). The approach of the Policy Analysis Matrix to the study of the cashew nut sector in Cote d’Ivoire. International Journal of Business Management and Economic Research (IJBMER), 10(1), 1534-1542.

Lorenzo, G. B. (2013). Value chain analysis for policy making: Methodological guidelines and country cases for a quantitative approach. Rome: Food and agriculture organization of the United Nations (FAO).

Masters, W. A., & Winter-Nelson, A. (1995). Measuring the comparative advantage of agricultural activities: Domestic resource costs and the social cost-benefit ratio. American Journal of Agricultural Economics, Agricultural and Applied Economics Association, 77(2), 243-250.

Minh, H. T., Trang, D. T. N., & Chen, J.C. (2016). Applying the DRC (Domestic resource cost) index to evaluate the competitive advantage of Dak Lak Coffee. Open Access Library Journal, 3(6). https://doi.org/10.4236/oalib.1102727

Monhanty, S., Fang, C. & Chaudhary, J. (2003). Assessing Competitiveness of Indian Cotton Production: A Policy Analysis Matrix Approach. The Journal of Cotton Science, 7, 65-74.

Monke, E. A., & Pearson, S. R. (1989). The policy analysis matrix for agricultural development. New York: Cornell University Press.

Olayinka, A., Omobowale, O., & Iyabo, A. (2014). Competitiveness of pineapple production in Osun state, Nigeria. Journal of Economics and Sustainable Development, 5(2), 205-214.

Romdhon, M. M., Andani A., & Nasari W. F. (2018). Comparative advantage of Siamese orange (Citrus Nobilis) Farming in district of 50 Kota, West Sumatera. Agritropica: Journal of Agricultural Science, 1(2), 62-67. https://doi.org/10.31186/j.agritropica.1.2.62-67

Shultz, W. T. (1978). Distortions of agricultural incentives. Bloomington, Indiana: Indiana University Press.

Soetriono, Soejono, D., Dewi Maharani, A., & Bastara Zahrosa, D. (2020). The competitiveness of Pronojiwo snake fruit. E3S Web of Conferences, 142, 05007. https://doi.org/10.1051/e3sconf/202014205007

Subaşı, O. S. (2023). The policy analysis matrix with profit-efficient data: evaluating the profitability of lemon cultivation in Turkey. Ciência Rural, 53(12). https://doi.org/10.1590/0103-8478cr20220518

Tsakok, I. (1990). Agricultural price policy: A practitioner’s guide to partial equilibrium analysis. Cornell University Press.

World Bank. (2003). Sudan Stabilization and Reconstruction. Available online: https://documents1.worldbank.org/curated/pt/440091468777571140/pdf/multi0page.pdf (accessed on 2 June 2023).

Yao, S. (1997). Comparative Advantages and Crop Diversification: A Policy Analysis Matrix for Thai Agriculture. Journal of Agricultural Economics, 48(1-3), 211-222.




DOI: https://doi.org/10.24294/jipd.v8i5.3077

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Kiet Hong Vo Tuan Truong, Sang Minh Vo, Phong Hai Nhat Nguyen, Thien Chi Ngo, Hung Vu Nguyen, An Huu Huynh

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.