Market integration of white teff ( Eragrostis tef ) in Ethiopia
A parity bound model
Bibliographic Data
| ID | 21510176 |
|---|---|
| Authors | Dereje Gebeyehu Ababu (0000-0002-6236-9968, Université d'Abomey-Calavi, corresponding author), Sylvain Kpenavoun Chogou (0000-0003-0717-3599, Université d'Abomey-Calavi), Epiphane Sodjinou (0000-0002-6350-2273, Université de Parakou) |
| Year | 2025 |
| Volume | 64 |
| Issue | 2 |
| Pages | 217-234 |
| Publication date | 2025-04-03 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Agrekon (JOURNAL) |
| Journal identifiers | ISSN: 0303-1853 • E-ISSN: 2078-0400 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/03031853.2025.2522343 |
| OpenAlex | W4414050166 |
| Language | EN |
| References cited | 50 |
Agriculture drives economic growth, food security, and employment in developing countries, while efficient markets enhance trade and optimise resource allocation, though disparities and the need for reforms remain. This study aims to analyze the vertical market integration of white teff (Eragrostis tef) between North Shewa Zone districts’ and Addis Ababa markets and to assess the impact of COVID-19 on market integration. This study addresses two research questions: (1) Is there vertical market integration of white teff between the North Shewa Zone districts’ and Addis Ababa markets? (2) Does COVID-19 have an impact on vertical market integration of white teff? Secondary data on prices of white teff was collected from government offices, while primary data on transaction costs (TC) and related variables was collected from traders. The Parity Bound Model (PBM) and Extended Parity Bound Model (EPBM) are used to analyze vertical market integration and assess the impact of COVID-19 on market integration, respectively. The t-test revealed that the majority of the markets have significant price differences (p-value = 0.68) while other markets are segmented (λ3 > = 0.72). EPBM results show a decrease in probabilities for regime one (λ1 = 0.13, δ1 = −0.13) and regime two (λ2 = 0.13, δ2 = −0.13) and an increase for regime three (λ3 = 0.75, δ3 = 0.255), but the likelihood ratio test (χ2cal = 1.842; χ2(2) = 5.99) revealed no significant change on market integration due to COVID-19. To enhance rural market integration, it's recommended to improve infrastructure such as roads and market information systems
Interest rate parity · Market integration · Numerical integration · Upper and lower bounds · Agricultural Economics and Practices · Agricultural Innovations and Practices · Economics of Agriculture and Food Markets
Maximum Likelihood Estimation and Inference on Cointegration — With Applications to the Demand for Money
Determinants of teff commercialization among smallholder farmers
The effect of Covid-19 pandemic on market integration
Testing for food market integration revisited
Cointegration and Threshold Adjustment
Determinants of spatial market efficiency of grain markets in Russia
Using agriculture for development
Statistical analysis of cointegration vectors
| Highly cited | No |
|---|