Effects of Stockholding Policy on Maize Prices: Evidence from Zambia

Author(s):  
Yujun Zhou ◽  
Kathy Baylis

Abstract Many countries in the developing world use public stockholding programs to stabilize prices for both farmers and consumers. Governments directly purchase and store staple grains, and then sell them to processors or consumers, often at heavily subsidized prices. Despite the substantial costs of these stockholding programs, little is known about their effectiveness in mitigating retail price swings. This paper estimates the effects of purchase and sales activities of the Zambian Food Reserve Agency (FRA) on monthly maize market prices across more than thirty markets in Zambia from 2003 to 2008. To deal with the endogeneity in purchases and sales, we use predicted FRA purchase and sales targets as instrumental variables. Controlling for other policies, we find evidence that FRA activities stabilize retail prices in major district markets within the cropping year. Results show that FRA purchases raise local prices for surplus maize producers about 5 % on average at the time of harvest, and that FRA sales help lower the prices to consumers during the lean season up to 7 %. However, we find limited evidence that the FRA is able to reduce price volatility between years.

2011 ◽  
Vol 40 (2) ◽  
pp. 201-217 ◽  
Author(s):  
Hayden Stewart ◽  
P. Blayney Don

Farm milk prices tend to be volatile. Dairy farmers, industry pundits, and policymakers further tend to react to price volatility with alarm. One point of concern is the response of retail prices. This study investigates farm-to-retail price transmission in the 2000s for whole milk and Cheddar cheese. Results show that price shocks at the farm gate are transmitted with delay and asymmetry to retail. Differences in the nature of price transmission for whole milk and Cheddar cheese prices are also identified.


Ekonomika ◽  
2017 ◽  
Vol 95 (3) ◽  
pp. 37-51
Author(s):  
Aras Zirgulis ◽  
Liutauras Petručionis ◽  
Maik Huettinger

The present study investigates the degree to which imperfect competition in the oil sector affects end retail prices. Specifically, we test how positive and negative price shocks in the oil market translate to final retail prices for petrol, diesel, and heating oil prices, focusing on the asymmetry of the price changes. We assume that the higher the level of imperfect competition, the more asymmetric the price change between the initial oil and final retail products will be. In addition, we also test the degree to which uncertainty, or oil price volatility, affects the final prices for these same products. We find that our proxy for market power does affect retail price asymmetries and that increasing volatility lowers retail price asymmetries.


Commonwealth ◽  
2017 ◽  
Vol 19 (1) ◽  
Author(s):  
Somayeh Youssefi ◽  
Patrick L. Gurian

Pennsylvania is one of a number of U.S. states that provide incentives for the generation of electricity by solar energy through Solar Renewal Energy Credits (SRECs). This article develops a return on investment model for solar energy generation in the PJM (mid-­Atlantic) region of the United States. Model results indicate that SREC values of roughly $150 are needed for residential scale systems to break even over a 25-­year project period at 3% interest. Market prices for SRECs in Pennsylvania have been well below this range from late 2011 through the first half of 2016, indicating that previous capital investments in solar generation have been stranded as a result of steep declines in the value of SRECs. A simple conceptual supply and demand model is developed to explain the sharp decline in market prices for SRECs. Also discussed is a possible policy remedy that would add unsold SRECs in a given year to the SREC quota for the subsequent year.


2021 ◽  
Vol 16 (5) ◽  
pp. 1492-1516
Author(s):  
Wenhua Hou ◽  
Yuwen Zeng

(1) Background: A binding recommended retail price has been used in several markets in a variety of forms, and the book market is a typical example. Publishers sell books to online retailers at a unit wholesale discount computed on the cover price. Retailers are then allowed to set the retail price. Therefore, if consumers regard the cover prices as reference points, then they may be more likely to purchase books if retail prices are lower than the cover prices. (2) Methods: We develop a Stackelberg game model for a book supply chain to investigates how reference price effects affect retailers and publisher’s pricing strategies. (3) Results: The results show that retailers will sell printed books at a discount only when the publisher’s wholesale discount rate is not high. Further, as the intensity of the reference price effects increases, (a) the lower boundary of the wholesale discount rate rises, (b) publishers’ profits increase and (c) retailers’ profits increase relative to the level of consumers’ e-books acceptance. (4) Conclusions: This result is related to the fact that the online retailer, such as Amazon and JD.com, like to invoke reference price effects in consumers’ minds by highlighting the printed book’s discount rate.


Author(s):  
David Adugh Kuhe

This study investigates the dynamic relationship between crude oil prices and stock market price volatility in Nigeria using cointegrated Vector Generalized Autoregressive conditional Heteroskedasticity (VAR-GARCH) model. The study utilizes monthly data on the study variables from January 2006 to April 2017 and employs Dickey-Fuller Generalized least squares unit root test, simple linear regression model, unrestricted vector autoregressive model, Granger causality test and standard GARCH model as methods of analysis. Results shows that the study variables are integrated of order one, no long-run stable relationship was found to exist between crude oil prices and stock market prices in Nigeria. Both crude oil prices and stock market prices were found to have positive and significant impact on each other indicating that an increase in crude oil prices will increase stock market prices and vice versa. Both crude oil prices and stock market prices were found to have predictive information on one another in the long-run. A one-way causality ran from crude oil prices to stock market prices suggesting that crude oil prices determine stock prices and are a driven force in Nigerian stock market. Results of GARCH (1,1) models show high persistence of shocks in the conditional variance of both returns. The conditional volatility of stock market price log return was found to be stable and predictable while that of crude oil price log return was found to be unstable and unpredictable, although a dependable and dynamic relationship between crude oil prices and stock market prices was found to exist. The study provides some policy recommendations.


2019 ◽  
Vol 18 (5) ◽  
pp. 2359-2393 ◽  
Author(s):  
Maarten Janssen ◽  
Sandro Shelegia

Abstract This paper studies vertical relations in a search market. As the wholesale arrangement between a manufacturer and its retailers is typically unobserved by consumers, their beliefs about who is to be blamed for a price deviation play a crucial role in determining wholesale and retail prices. The common assumption in the consumer search literature is that consumers exclusively blame an individual retailer for a price deviation. We show that in the vertical relations context, predictions based on this assumption are not robust in the sense that if consumers hold the upstream manufacturer at least partially responsible for the deviation, equilibrium predictions are qualitatively different. For robust beliefs, the vertical model can explain a variety of observations, such as retail price rigidity (or, alternatively, low cost pass-through), nonmonotonicity of retail prices in search costs, and (seemingly) collusive retail behavior. The model can be used to study a monopoly online platform that sells access to final consumers.


2020 ◽  
Vol 47 (5) ◽  
pp. 1861-1896
Author(s):  
Timothy J Richards ◽  
Stephen F Hamilton

Abstract We examine a food retailer’s incentive to use a minimum quality standard as part of a quality-based price-discrimination strategy and show how price discrimination can result in a substantial level of retail food waste. Using data from a major US food retailer, we estimate a structural model of retail price discrimination and conduct a series of counter-factual experiments to demonstrate that observed retail prices are consistent with quality-based price discrimination in the retail market. Our findings indicate that quality standards on fresh produce can explain a substantial proportion ($7.5\%$) of food waste by retailers in the US.


Author(s):  
Wioletta Wróblewska ◽  
Eugenia Czernyszewicz

The aim of the study was to assess the level and volatility of prices of blueberry obtained in the farm (in wholesale on the domestic market and in export) and on the wholesale market during 2007-2016, due to choice of distribution channel. The level, direction and intensification of price changes were analyzed. The study shows that the prices of blueberry at the producer level were characterized by greater volatility than the wholesale market. Prices obtained by the producers on wholesale on the domestic market were significantly lower than in exports and in the wholesale market, on average in the analyzed period accounted for only 69% of the export price and 52% of the wholesale market price. Regardless of where the price comes from,the highest price for fruits was obtained in September, and the lowest in August, which is the month of the largest supply of fruits on the market.


Author(s):  
Theresia Siburian ◽  
M. Safii ◽  
Iin Parlina

Rice is the main food commodity of the Indonesian people, almost all residents in this country consume rice every day. This causes rice commodities to have a very strategic value, apart from being in control of the lives of many people, it can also be used as a parameter of the country's economic and social stability. This study discusses the application of K-Means Clustering Algorithm for Grouping Retail Prices of Rice in Traditional Markets. The source of this research data is collected based on documents describing the retail price group of rice produced by the National Statistics Agency. The data used in this study are data from 2011-2016 consisting of 33 cities. Data is processed by clustering in 3 clusters, namely high population level clusters, medium and low population level clusters. Centroid data for high population level clusters 10,776, Centroid data for moderate population level clusters 9,436 and Centroid data for low population clusters 8,590. To obtain an assessment based on the grouping of the average retail price of rice in traditional markets in 33 cities with high clusters (C1) of 11 cities namely Padang, Pekanbaru, Tanjung Pinang, Bandar Lampung, Jakarta, Pontianak, Palangkaraya, Banjarmasin, Ternate, Jayapura and Manokwari for medium cluster (C2) as many as 11 cities and for low cluster (C3) as many as 11 cities. From the results of this study can be used as input for the government, especially in cities, so that cities that are included in the high cluster can normalize the retail price of rice in each city area.


Sign in / Sign up

Export Citation Format

Share Document