Analysis of farmers’ market power in the value chain of Arabica coffee in Lam Dong Province, Vietnam

The market that operates effectively will contribute to actors’ profit and welfare in the coffee value chain conversely if the market is affected by imperfect problems. Suppose the value chain lacks market news, short-term storage, information for product and processing, quality check, and marke...

Mô tả đầy đủ

Đã lưu trong:
Chi tiết về thư mục
Những tác giả chính: Nguyễn, Thị Tươi, Nguyen, Phu Son, Pham, Le Thong
Định dạng: Journal article
Ngôn ngữ:Vietnamese
Được phát hành: HCMCOUJS-Economics and Business Administration 2022
Những chủ đề:
Truy cập trực tuyến:http://scholar.dlu.edu.vn/handle/123456789/773
Các nhãn: Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
Thư viện lưu trữ: Thư viện Trường Đại học Đà Lạt
id oai:scholar.dlu.edu.vn:123456789-773
record_format dspace
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language Vietnamese
topic arabica coffee farmers
market power
lerner index
value chain
spellingShingle arabica coffee farmers
market power
lerner index
value chain
Nguyễn, Thị Tươi
Nguyen, Phu Son
Pham, Le Thong
Analysis of farmers’ market power in the value chain of Arabica coffee in Lam Dong Province, Vietnam
description The market that operates effectively will contribute to actors’ profit and welfare in the coffee value chain conversely if the market is affected by imperfect problems. Suppose the value chain lacks market news, short-term storage, information for product and processing, quality check, and market power. In that case, implied chain actors’ profit and welfare will not be reached. A new method can estimate market power by Lerner index through the stochastic cost frontier once the inputs data price is unavailable and the existence or non-existence of constant returns to scale. So this approach is applied to evaluate farmers’ market power in the value chain of Arabica coffee in Lam Dong Province, Vietnam. Primary data were collected through interviews with 200 farmers Da Lat, Lac Duong, Lam Ha, and Don Duong of Lam Dong Province. The estimated results of the market power and Lerner rate are 0.001. This index indicates that the local coffee market is perfect competition. So the coffee growers do not have market power. The RTS index of 0.56 (less than one) illustrates that farmers’ Return To Scale (RTS) is decreased. Therefore, coffee farmers should link together to establish cooperative that increases market power in price negotiation and coffee consumption.
format Journal article
author Nguyễn, Thị Tươi
Nguyen, Phu Son
Pham, Le Thong
author_facet Nguyễn, Thị Tươi
Nguyen, Phu Son
Pham, Le Thong
author_sort Nguyễn, Thị Tươi
title Analysis of farmers’ market power in the value chain of Arabica coffee in Lam Dong Province, Vietnam
title_short Analysis of farmers’ market power in the value chain of Arabica coffee in Lam Dong Province, Vietnam
title_full Analysis of farmers’ market power in the value chain of Arabica coffee in Lam Dong Province, Vietnam
title_fullStr Analysis of farmers’ market power in the value chain of Arabica coffee in Lam Dong Province, Vietnam
title_full_unstemmed Analysis of farmers’ market power in the value chain of Arabica coffee in Lam Dong Province, Vietnam
title_sort analysis of farmers’ market power in the value chain of arabica coffee in lam dong province, vietnam
publisher HCMCOUJS-Economics and Business Administration
publishDate 2022
url http://scholar.dlu.edu.vn/handle/123456789/773
_version_ 1768305844271710208
spelling oai:scholar.dlu.edu.vn:123456789-7732022-08-07T15:06:44Z Analysis of farmers’ market power in the value chain of Arabica coffee in Lam Dong Province, Vietnam Nguyễn, Thị Tươi Nguyen, Phu Son Pham, Le Thong arabica coffee farmers market power lerner index value chain The market that operates effectively will contribute to actors’ profit and welfare in the coffee value chain conversely if the market is affected by imperfect problems. Suppose the value chain lacks market news, short-term storage, information for product and processing, quality check, and market power. In that case, implied chain actors’ profit and welfare will not be reached. A new method can estimate market power by Lerner index through the stochastic cost frontier once the inputs data price is unavailable and the existence or non-existence of constant returns to scale. So this approach is applied to evaluate farmers’ market power in the value chain of Arabica coffee in Lam Dong Province, Vietnam. Primary data were collected through interviews with 200 farmers Da Lat, Lac Duong, Lam Ha, and Don Duong of Lam Dong Province. The estimated results of the market power and Lerner rate are 0.001. This index indicates that the local coffee market is perfect competition. So the coffee growers do not have market power. The RTS index of 0.56 (less than one) illustrates that farmers’ Return To Scale (RTS) is decreased. Therefore, coffee farmers should link together to establish cooperative that increases market power in price negotiation and coffee consumption. 12 1 139-147 2022-08-07T15:06:37Z 2022-08-07T15:06:37Z 2022 Journal article Bài báo đăng trên tạp chí trong nước (có ISSN), bao gồm book chapter http://scholar.dlu.edu.vn/handle/123456789/773 10.46223/HCMCOUJS. econ.en.12.1.1917.2022 vi HCMCOUJS-Economics and Business Administration 2734-9568 Cechura, L., Kroupová, Z. Z., & Hockmann, H. (2015). Market power in the European dairy industry. AGRIS Online Papers in Economics and Informatics, 7(2), 39-47. Deodhar, S. Y., & Pandey, V. (2008). Degree of instant competition! Estimation of market power in India’s instant coffee market. Indian Economic Review, 43(2), 253-264. Do, N. T., & Nguyen, H. T. (2018). The participation of farmer households in the Ninh Thuan grape value chain. Journal of Science and Technology of Vietnam, 60(4),13-18. Food and Agriculture Organization (FAO). (2015). Value chain analyses for Shan tea and Arabica coffee under climate change in the northern mountainous region of Viet Nam (Policy brief No.4). Rome, Italy: Economics and Policy Innovations for Climate-Smart Agriculture. Food and Agriculture Organization (FAO). (2019). Area harvested and production quantity of coffee Vietnam. Retrieved March 10, 2021, from http://www.fao.org/faostat/en/#data/QC Gilbert, C. L. (2007). Have we been mugged? Market power in the world coffee industry (Department of Economics Working Papers, No. 0725). Trento, Italy: Department of Economics, University of Trento. Koppenberg, M., & Hirsch, S. (2019). Market power in EU dairy processing: Evidence from a stochastic frontier approach. Paper presented at the Agricultural & Applied Economics Association 2019 Annual Meeting, Atlanta, GA. Kumbhakar, S. C., Baardsen, S., & Lien, G. (2012). A new method for estimating market power with an application to Norwegian sawmilling. Review of Industrial Organization, 40(2), 109-129. doi:10.1007/s11151-012-9339-7 Lam Dong Agricultural Extension Center. (2017). Arabica coffee in Da Lat decreased in yield. Retrieved March 10, 2021, from http://khuyennong.lamdong.gov.vn/thong-tin-nongnghiep/trong-trot/645-ca-pha-arabica-a-a-la-t-gia-m-n-ng-sua-t Lam Dong Statistics Office. (2019). Lamdong statistical yearbook 2018. Hanoi, Vietnam: Statistical Publishing House. Lerner, A. P. (1934). The concept of monopoly and the measurement of monopoly power. Review of Economic Studies, 1(3), 157-175. Li, X. L., & Saghaian, S. (2014). The presence of market power in the coffee market: The case of Colombian milds. Paper presented at the Agricultural & Applied Economics Association’s 2014 Annual Meeting, Minneapolis Minnesota, Portal. Lopez, R. A., He, X., & Azzam, A. (2017). Stochastic frontier estimation of market power in the food industries. Journal of Agricultural Economics, 69(1), 3-17. doi:10.1111/1477- 9552.12219 Lopez, R. A., Zheng, H., & Azzam, A. (2015). Oligopoly power in the food industries revisited: A stochastic frontier approach. Paper presented at the Agricultural and Applied Economics Association’s 2015 AAEA & WAEA Joint Annual Meetings, San Francisco, CA. Mehta, A., & Chavas, J. P. (2008). Responding to the coffee crisis: What can we learn from price dynamics? Journal of Development Economics, 85(2), 282-311. doi:10.1016/j.jdeveco.2006.07.006 Ministry of Agriculture and Rural Development (MARD). (2017). Reported results of implementing the December 2017 plan for the agriculture and rural development sector. Retrieved March 26, 2021, from https://www.mard.gov.vn/ThongKe/Lists/ BaoCaoThongKe/Attachments/132/Baocao_T12_2017.pdf Murphy, S. (2006). Concentrated market power and agricultural trade. Berlin, Germany: Concentrated Market Power and Agricultural Trade - Sophia Murphy. Nguyen, G. N. T., & Sarker, T. (2018). Sustainable coffee supply chain management: A case study in Buon Me Thuot City, Daklak, Vietnam. International Journal of Corporate Social Responsibility, 3(1), 1-17. doi:10.1186/s40991-017-0024-x Nguyen, H. T. T., & Mai, D. T. T. (2017). Describing the coffee value chain in the Central Highlands of Vietnam. Australasian Agribusiness Perspectives, 20(2017), 78-89. Nguyen, N. Q., Tran, C. T. D., Nguyen, T. T. K., & Nguyen, R. V. (2018). Value chain analysis of Ha Chau mulberry products in Phong Dien district, Can Tho City. Science Journal of Can Tho University, 54(4) 220-228. Nguyen, P. V., & To, H. T. K. (2014). Cointegration test for Vietnam’s coffee export price and world coffee price over the period 2008-2014. Ho Chi Minh City Open University Journal of Science, 9(3), 80-86. Nguyen, T. N., Nguyen, T. T., & Nguyen, C. T. (2017). Risk analysis in coffee production of farm households in Dak Lak Province. Vietnam Journal of Agricultural Sciences, 15(2), 243-252. Nguyen, T. T., Nguyen, S. P., & Pham, T. L. (2021). Analysis of farmers’ market power in the Arabica coff ee value chain in Lam Dong Province, Vietnam. International Journal of Economics and Financial Research, 7(3), 102-108. doi:10.32861/ijefr.73.102.108 Perloff, J. M., & Shen, E. Z. (2012). Collinearity in linear structural models of market power. Review of Industrial Organization, 40(2), 131-138. doi:10.1007/s11151-012-9336-x Rahman, M. C., Pede, V., Balie, J., Pabuayon, I. M., Yorobe, J. M., & Mohanty, S. (2021). Assessing the market power of millers and wholesalers in the Bangladesh rice sector. Journal of Agribusiness in Developing and Emerging Economies, 11(3), 280-295. doi:10.1108/JADEE-04-2018-0053 Tran, N. H., Le, V., Nguyen, L. D., Nguyen, T. A., & Tran, L. D. (2017). Optimizing production inputs of coffee production in Lam Ha district, Lam Dong Province. Van Hien University Journal of Science, 5(3), 63-73. Vo, T. N., Le, L. N. Q., & Nguyen, P. T. K. (2015). The situation of the rice supply chain in the Mekong River Delta. Journal of Science and Technology Development, 18(2), 121-136. Weerahewa, J. (2003). Estimating market power of tea processing sector. Sri Lankan Journal of Agricultural Economics, 5(1), 69-82. Wolfram, C. D. (1999). Measuring duopoly power in the British electricity spot market. American Economic Review, 89(4), 805-826. Creative Commons Attribution-NonCommercial 4.0 Int HCMCOUJS-Economics and Business Administration HCMCOUJS-Economics and Business Administration