Testing market integration: New approaches with case material from the West Bengal food economy

Palaskas, Theodosios; Harriss‐White, Barbara

doi:10.1080/00220389308422304

Cited by 100 publications

(57 citation statements)

References 17 publications

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“…S correlation coefficients (see Farruk [12], Lele [17], Jones [16], Blyn [5]), shortand long-term tests of integration (see Ravallion [21]), long-term multipliers and times to adjust (see Boyd and Brorsen [6], Mendoza and Rosegrant [19]), cointegration coefficients (see Ardeni [3], Goodwin and Schroeder [14], Wyeth [23], Palaskas and Harriss [20]), causality and centrality tests (see Mendoza and Farris [18]). However, a comparison of various measures as well as an analysis of the structural factors affecting these measures of market integration has been largely neglected, with the exception of the papers by Goodwin and Schroeder [14], and Faminow and Benson [11].…”

Section: --------------------------mentioning

confidence: 99%

Structural Determinants of Market Integration: The Case of Rice Markets in Bangladesh

Goletti¹,

Ahmed²,

Farid³

1995

The Developing Economies

105

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Section: --------------------------mentioning

confidence: 99%

Structural Determinants of Market Integration: The Case of Rice Markets in Bangladesh

Goletti¹,

Ahmed²,

Farid³

1995

The Developing Economies

105

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“…However, in practice, food shopping practices are complex and there are interactions and integration between different market outlets [11]. Despite the proliferation of large supermarkets and hypermarkets, the multi-stop shopping model still prevails in much of Asia [12].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Proximity to Wet Markets and Supermarkets on Household Dietary Diversity in Nanjing City, China

Zhong

Crush

et al. 2018

Sustainability

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This study investigated the influence of the proximity to wet markets and supermarkets on urban household dietary diversity in Nanjing. Based on the data collected through a citywide survey in 2015 and the map data of wet markets and supermarkets, the Poisson regression model was deployed to examine the correlations between geographical proximity to supermarkets and wet markets and household dietary diversity. The result shows that the coefficients for the distance to the nearest wet market are not statistically significant. Although the coefficients for the distance to nearest supermarket are statistically significant, they were too minor to reach a practical importance. We argue, however, that the insignificant correlations reflect exactly the high physical accessibility to food outlets and the extensive spatially dense food supply network constituted by wet markets, supermarkets and small food stores in Nanjing, due in part to the food infrastructure development planning in Nanjing that has ensured relatively equal and convenient access to wet markets or supermarkets for all households. Our findings are verified by the survey data that more than 90% of households purchased fresh food items within their neighborhoods or in walking distance. In addition to the densely distributed food outlets, various other factors contributed to the non-significant influence of the distance to the nearest wet market and supermarket, in particular, the numerous small food stores within or close to residential communities, the prevalence of three-generation extended household structure and the high household income.

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“…Previous studies have used the Ravallion test 21,34 , cointegration tests, the parity bounds model (PBM) 4,5,9,42 , and threshold autoregressive (TAR) models 17,30 to capture market integration. The Ravallion test faces criticism, as it does not take the stationarity of price data into account 32 . Recent models such as PBM or TAR require stronger assumptions and have elaborate theories, hence requiring data that is difficult to obtain in Mongolia.…”

Section: Cointegration Test and Error Correction Modelmentioning

confidence: 99%

“…The table shows that 35-51% of all permutations of sample districts were cointegrated at 1% significance. Cointegration indicates that two series follow a common stochastic process and implies the long-term integration of the markets 12,18,32 . The proportion of integrated markets for cashmere is almost the same as that for mutton (p < .01), while the integrated market pair for milk is lower than that for other commodities.…”

Section: Degree Of Market Integration Of Each Livestock Productmentioning

confidence: 99%

Spatial Market Integration of Livestock Products and Road Conditions in Mongolia

Kusano

Saizen

2013

JARQ

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This paper evaluates the spatial linkages between the livestock product markets in Mongolia and the effects of road conditions on market transactions. It is based on the Engle-Granger test, an error correction model, and a model of market integration using the monthly price datasets of livestock products in Mongolia during [2005][2006][2007][2008][2009]. Empirical analysis indicates that the most and least integrated markets are the cashmere and milk markets, respectively. Extending paved roads might tighten the integration of the livestock products markets.

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Testing market integration: New approaches with case material from the West Bengal food economy

Cited by 100 publications

References 17 publications

Structural Determinants of Market Integration: The Case of Rice Markets in Bangladesh

Structural Determinants of Market Integration: The Case of Rice Markets in Bangladesh

The Impact of Proximity to Wet Markets and Supermarkets on Household Dietary Diversity in Nanjing City, China

Spatial Market Integration of Livestock Products and Road Conditions in Mongolia

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