A contribution to the empirics of food price behavior: the case of rice price dynamics in Italy

Barboza, Gustavo; Gavinelli, Laura; Pede, Valerien O.; Mazzucchelli, Alice; Gregorio, Angelo Di

doi:10.1108/bfj-12-2019-0937

Cited by 3 publications

(7 citation statements)

References 38 publications

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“…(2015), and Barboza et al. (2020). From a policy evaluation perspective, John (2013) explained the mechanism through which pricing stabilization policies might distort price transmission between the Thai domestic market and international markets.…”

Section: Literaturementioning

confidence: 95%

“…From other perspectives, several studies linked rice export prices with the domestic rice markets: Conforti (2004), Ghoshray (2011), Ahmad and Gjølberg (2015), Fiamohe et al (2015), and Barboza et al (2020). From a policy evaluation perspective, John (2013) explained the mechanism through which pricing stabilization policies might distort price transmission between the Thai domestic market and international markets.…”

Section: Literaturementioning

confidence: 99%

“…Some studies focus on rice export price relations (Ahmad & Gjølberg, 2015; Chulaphan et al., 2013; Ghoshray, 2008; Sirikanchanarak et al., 2016), but they have not examined the price differentials that exist between them. Some other research seeks to link rice export prices with the domestic rice markets (Ahmad & Gjølberg, 2015; Barboza et al., 2020; Fiamohe et al., 2015; Ghoshray, 2011). Other authors have also examined the effects of the change in policies on price relations between the world and domestic rice markets (Ahmad & Gjølberg, 2015; Alam et al., 2012; John, 2013).…”

Section: Introductionmentioning

confidence: 99%

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How convergent are rice export prices in the international market?

Valera

Holmes

Pede

et al. 2023

Agricultural Economics

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This study revisits the issue of long-term price convergence of rice export prices for India, Pakistan, Thailand, Uruguay, the United States, and Vietnam using a two-stage pairwise unit root testing approach. To deduce evidence or lack of proof of convergence in price series, we also examine convergence using sigma and beta convergence specified in both unconditional and conditional frameworks. The methodology used is driven by the need to address three key concerns: (i) the likelihood of finding stationary price differentials, (ii) the magnitude of these differentials, and (iii) their speed of adjustment. To evaluate these concerns, we use monthly data for 18 price series drawn from these six countries from September 2011 to February 2021. The evidence points to a lack of international convergence. This gives rise to the possibility that a shield from a general downward export price trend is already in place for some exporters. Furthermore, we find that the likelihood of convergence is greater between pairs of price series that are characterized as high quality or having the same country of origin or having similar market share. Evidence also suggests that a converged pairing is more likely to have a smaller price differential if both price series are for low-quality rice.

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Section: Literaturementioning

confidence: 95%

Section: Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

How convergent are rice export prices in the international market?

Valera

Holmes

Pede

et al. 2023

Agricultural Economics

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“…where: y is the unit price ($ Mg -1 ), x is the grain yield (Mg ha -1 ), and a and b are constants. Generally, the unit price of grain such as rice and barley had a non-linear relationship with its harvest yield (Carter, 1994;Eissa and Refai, 2019;Barboza, 2020). In Eq.…”

Section: Soil Propertiesmentioning

confidence: 99%

Simulated impacts of rainfall extremes on yield responses of various barley varieties in a temperate region

Yoon

Kim

et al. 2021

Int. Agrophys.

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A b s t r a c t. As population rises, more people need to be fed. With increasing income, the potential exists for increases in the demand for cereals (i.e., barley). Since barley has a high level of tolerance to environmental stressors, this crop has been recommended as a potential crop for food security in marginal environments. In this study, a crop growth Agricultural Land Management Alternatives with Numerical Assessment Criteria model, was parameterized and used to simulate the yields of two barley types grown in a temperate environment at a latitude of 35°N. In order to apply this crop model to barley, 19 years of field data were used to model calibration and validation. As a result, the ALMANAC model accurately simulated yields for both barley types. The validated model was used to predict yields under three diverse seasonal rainfall scenarios associated with different patterns of the Central Pacific El Niño influence. According to the simulation results, excessively high seasonal rainfall decreased barley yields. Crop price and annual revenue of the two barley types were also evaluated using a non-linear regression model. For the malt type, the food price was higher with a higher rainfall, while naked barley had a higher revenue under the conditions of a lower rainfall.K e y w o r d s: barley, rainfall, simulation, food cost, grain yield

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“…International rice trade is concentrated on the export side. The top five rice-exporting countries, which are India, Thailand, Vietnam, Pakistan, and the U.S. accounted for 78% of the global rice exports in 2020-22 (USDA, 2023. Together with Argentina, Brazil and Uruguay, which are the major rice exporters in the western hemisphere, eight countries are the source of 82% rice in the international market (USDA, 2023).…”

Section: Introductionmentioning

confidence: 99%

Interrelationships Among the Rice Export Prices of Major Exporting Countries: In Search of the Leader and Followers

Mottaleb,

Durand-Morat

2024

J. Agric. Appl. Econ.

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By examining the econometric interrelationships of rice export prices of India, Thailand, Vietnam, Pakistan, the U.S., Argentina, Brazil, and Uruguay, this study examines the most influential rice-exporting countries in the international rice export market. The sampled countries are the source of more than 80% of the global rice exports. In the process, this study relies on online data portals of the United Nations and country-level sources for aromatic and non-aromatic rice export price information from India, Pakistan, and Thailand. This study employed the Prais-Winsten and Autoregressive Distributive Lag (ARDL) estimation processes with the error correction procedure. Combining the findings from both models, this study concludes that in terms of interactions, the non-aromatic long-grain rice price of the U.S., and the aromatic rice price of Pakistan are the most correlated prices in the international rice market. Considering the number of countries influenced by the price of a given country, our results indicate that Vietnam is the price leader in the non-aromatic long-grain market, followed by Argentina, Brazil, and India. India, the largest exporter, is the fourth top price leader. In the case of aromatic rice, Thailand is the absolute leader. Many countries in Asia and Africa rely on rice imports to meet domestic demand, where the food security situation is already precarious. Based on the findings, this study suggests closely monitoring rice production and export trends of Vietnam, Argentina, Brazil, India and Thailand to provide early warning when necessary to better manage supply shocks in the international rice market.

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A contribution to the empirics of food price behavior: the case of rice price dynamics in Italy

Cited by 3 publications

References 38 publications

How convergent are rice export prices in the international market?

How convergent are rice export prices in the international market?

Simulated impacts of rainfall extremes on yield responses of various barley varieties in a temperate region

Interrelationships Among the Rice Export Prices of Major Exporting Countries: In Search of the Leader and Followers

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