Market Integration and Price Transmission in Major Onion Markets of India

Ahmed, Mushtaq; Singla, Naresh

doi:10.5958/0976-4666.2017.00051.1

Cited by 18 publications

(18 citation statements)

References 16 publications

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“…In the overall GDP its contribution remained around one to two per cent (Figure 1). India’s fisheries sector has grown efficiently on an average annual growth of 5.2 per cent from 2010–2011 to 2014–2015 against 3.9 per cent experienced by the agriculture sector as a whole (Ahmed & Singla, 2017). China is the largest fish-producing country in terms of quantity, followed by Indonesia and the USA.…”

Section: Resultsmentioning

confidence: 99%

Fisheries Exports of India: A Constant Market Share Analysis

Bhatia

Ahmed

2020

The Indian Economic Journal

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The present study analyses the performance of fisheries exports of India using revealed comparative advantage (RCA), revealed symmetric comparative advantage (RSCA) and the constant market share (CMS) analysis for the period 1980–2016. Indian exports of fisheries have shown a positive trend of comparative advantage in all the markets under consideration revealed by RCA and RSCA. However, CMS results show that for most of the markets, competitiveness had been the utmost crucial driving factor of change in the market shares of Indian fish exports over the study period.

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Section: Resultsmentioning

confidence: 99%

Fisheries Exports of India: A Constant Market Share Analysis

Bhatia

Ahmed

2020

The Indian Economic Journal

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“…Causality test is considered as a potential technique to investigate price leadership in the market [14]. If two variables are integrated of order one, i.e., I(1),Granger causality test proposed by Granger [15] is the most accepted way to know the causal relation between them [16]. Therefore, Granger causality test was used in the present study, which is based on premise that the prices in market X causes the price in market Y if and only if the past values of market X provide additional information for the forecast of market Y.…”

Section: Granger Causality Testmentioning

confidence: 99%

Market Integration and Price Leadership among Major Mulberry Cocoon Markets in South India

Halagundegowda

Kumaresan

Muttanna

et al. 2021

AJAEES

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Market integration is a good proxy for measuring market efficiency and the emerging price signals from the markets can be utilized to benefit both farmers and reelers alike. The present study empirically examines the dynamic interrelationships among the prices of major cocoons markets viz. Ramanagaram (Karnataka), Sidlaghatta (Karnataka), Hindupur (Andra Pradesh) and Dharmapuri (Tamil Nadu) in terms of market integration. The monthly average prices of cross breed mulberry cocoons for a period between April 2002 and March 2021 were considered for the present study. The Augmented Dickey-Fuller (ADF) (tau) testindicated that all the price series were non-stationary at level, but were stationary after first difference. The Johansen's multivariate cointegration procedure revealed existence of cointegration among the prices of cocoon markets. The Vector Error Correction Models (VECM) revealed a long run price causality running from Ramanagaram and Sidlaghatta markets to all other markets considered under study. The Granger causality test indicated a unidirectional causality running from Ramanagaram and Sidlaghatta markets to all markets and not vice versa. The prices prevailed in Ramanagaram and Sidlaghatta markets controlled and decided the current prices of cross breed cocoons both in long run and short run in all other markets considered for the study.

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“…The movement of prices of basic goods between markets can be related in different ways, especially for products found in different sectors, as shown by Jena (2016). This author examined the nature and extent of the impact of international prices on domestic prices in India from 2001 to 2012.…”

Section: Literature Reviewmentioning

confidence: 99%

Is there a pass-through from the international coff ee price to the Mexican coff ee market?

Gálvez-Soriano¹,

Cortes²

2021

Stud. Agr. Econ.

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We estimate the transmission of coff ee prices from the international market to the Mexican market for the period 2004-2019. Our estimates are obtained from a single equation conditional Error Correction Model (ECM). We estimate our proposed model for two overlapping periods: before a hypothesised break (2004-2013), and full sample (2004-2019). The results of the first estimation suggest that given a 1% increase in the international price of coff ee, the Mexican price increases by 0.9%, which is larger than previous estimates in the literature, but a finding which is consistent with the idea of more market integration due to free trade agreements. Furthermore, we find that Mexican coff ee production has no eff ect in the determination of local coff ee prices. Our model also implies a previously undocumented break in the long-run relationship between international and national prices, which started in 2015 but was statistically significant until 2017. This latter finding suggests that the international coff ee price pass-through to the Mexican economy has come to an end.

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Market Integration and Price Transmission in Major Onion Markets of India

Cited by 18 publications

References 16 publications

Fisheries Exports of India: A Constant Market Share Analysis

Fisheries Exports of India: A Constant Market Share Analysis

Market Integration and Price Leadership among Major Mulberry Cocoon Markets in South India

Is there a pass-through from the international coff ee price to the Mexican coff ee market?

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