Estimating the Market Power of Traders in the Arabica Coffee Value Chain in Lam Dong, Vietnam
Although some studies have assessed the market power of advanced degrees in Vietnam's agricultural sector, this research only focuses on analyzing the level of market concentration through CR4 or HHI indexes. The stochastic cost frontier can estimate market power using the Lerner ratio when inp...
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Academic Research Publishing Group
2022
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| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/handle/123456789/788 https://arpgweb.com/journal/journal/5 |
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oai:scholar.dlu.edu.vn:123456789-7882022-08-08T21:12:03Z Estimating the Market Power of Traders in the Arabica Coffee Value Chain in Lam Dong, Vietnam Nguyễn, Thị Tươi Nguyen, Phu Son Pham, Le Thong Market power Lerner index Coffee traders Although some studies have assessed the market power of advanced degrees in Vietnam's agricultural sector, this research only focuses on analyzing the level of market concentration through CR4 or HHI indexes. The stochastic cost frontier can estimate market power using the Lerner ratio when input price data are not available and with or without constant returns to scale. Thus, the stochastic cost frontier with a maximum likelihood approach of Kumbhakar et al. (2012) is used to assess the market power of traders in the coffee value chain in Lam Dong province, Vietnam. The estimated market power and Lerner rate results are 0.0001. This index shows that the local coffee market is a market with perfect competition. So the traders do not have market power. Thus, there is no collusion between coffee traders to lower the purchase price for farmers or increase the price for processors and exporters. An RTS ratio of 0.96 (less than one) shows that the return to scale for traders is decreasing. This number proves that the degree of competition in the local coffee market among traders is very high. 7 3 102-108 2022-08-08T14:35:18Z 2022-08-08T14:35:18Z 2021 Journal article Bài báo đăng trên tạp chí quốc tế (có ISSN), bao gồm book chapter http://scholar.dlu.edu.vn/handle/123456789/788 10.32861/ijefr.73.102.108 https://arpgweb.com/journal/journal/5 en International Journal of Economics and Financial Research 2411-9407 Academic Research Publishing Group Academic Research Publishing Group |
| institution |
Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
| language |
English |
| topic |
Market power Lerner index Coffee traders |
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Market power Lerner index Coffee traders Nguyễn, Thị Tươi Nguyen, Phu Son Pham, Le Thong Estimating the Market Power of Traders in the Arabica Coffee Value Chain in Lam Dong, Vietnam |
| description |
Although some studies have assessed the market power of advanced degrees in Vietnam's agricultural sector, this research only focuses on analyzing the level of market concentration through CR4 or HHI indexes. The stochastic cost frontier can estimate market power using the Lerner ratio when input price data are not available and with or without constant returns to scale. Thus, the stochastic cost frontier with a maximum likelihood approach of Kumbhakar et al. (2012) is used to assess the market power of traders in the coffee value chain in Lam Dong province, Vietnam. The estimated market power and Lerner rate results are 0.0001. This index shows that the local coffee market is a market with perfect competition. So the traders do not have market power. Thus, there is no collusion between coffee traders to lower the purchase price for farmers or increase the price for processors and exporters. An RTS ratio of 0.96 (less than one) shows that the return to scale for traders is decreasing. This number proves that the degree of competition in the local coffee market among traders is very high. |
| 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 |
Estimating the Market Power of Traders in the Arabica Coffee Value Chain in Lam Dong, Vietnam |
| title_short |
Estimating the Market Power of Traders in the Arabica Coffee Value Chain in Lam Dong, Vietnam |
| title_full |
Estimating the Market Power of Traders in the Arabica Coffee Value Chain in Lam Dong, Vietnam |
| title_fullStr |
Estimating the Market Power of Traders in the Arabica Coffee Value Chain in Lam Dong, Vietnam |
| title_full_unstemmed |
Estimating the Market Power of Traders in the Arabica Coffee Value Chain in Lam Dong, Vietnam |
| title_sort |
estimating the market power of traders in the arabica coffee value chain in lam dong, vietnam |
| publisher |
Academic Research Publishing Group |
| publishDate |
2022 |
| url |
http://scholar.dlu.edu.vn/handle/123456789/788 https://arpgweb.com/journal/journal/5 |
| _version_ |
1768305849365692416 |