scholarly journals Three essays on spatial, vertical price transmission and asymmetric supply response in livestock sectors

2017 ◽  
Author(s):  
◽  
Jongyeol Yoon

The objective of this dissertation is to examine efficient price transmission mechanism and efficient supply system in livestock sectors. The first essay investigates market integration and spatial price transmission in beef trade among the TPP countries (Australia, United States, Canada, New Zealand, and Japan) by using monthly beef prices. The estimates of the magnitude and the short-run speed of adjustment for one price to the shocks of another between two countries is useful information in assessing how well change in one price is transmitted to another and what types of price transmission (symmetry or asymmetry) occur in beef trade. This helps to identify the existence of potential market inefficiencies that result from asymmetric adjustment and which country leads the price relationship in beef trade. For this purpose, Engle-Granger and Johansen co-integration tests are conducted. In addition, threshold autoregressive (TAR) model and momentum threshold autoregressive (M-TAR) model, and asymmetric (or symmetric) error correction model (ECM) are estimated to examine the patterns of price adjustment. The findings indicate that the all pairs of prices are found to be statistically significant for the co-integration test. This suggests that there a long-run equilibrium relationship between pairs of price series and the various types of beef traded by the TPP countries are likely to be substituted for each other in each market. In addition, the results of the TAR and M-TAR models provide sufficient empirical evidence in support of asymmetric pricing behavior in beef trade among the TPP countries, mostly showing that the rate of adjustment to negative shocks to long-run equilibrium tends to occur more rapidly than that for the positive price shocks among the TPP countries. To examine the short-run dynamic of beef trade among the TPP countries, two types of the ECM are estimated. The estimates of the error correction terms indicate that the response of one price depends on either positive shocks or negative shocks in another price among the bilateral relationships analyzed, and they show different speeds of adjustment to the long-run equilibrium and different price leadership, respectively. The asymmetric pattern of price adjustment may attribute to product differentiation through different feeding methods, trade policy, and market concentration in each country. Due to these factors, relatively slow speed of price adjustment to the equilibrium can cause potential losses to market participants in each market, and therefore it should be corrected in order to improve market efficiency in beef trade among the TPP countries. The second essay aims to investigate asymmetric supply response of cattle, hog, and chicken in the U.S. This concern can be described in the context of structural change of U.S. meat markets. That is, the move to larger operations that have resulted from the economies of scale that exist in many of these sectors today results in an inability to adjust to low prices because of the high capital outlays associated with the large facilities yet these same economies of scale allow for quick expansion in periods of high prices. For this purpose, the threshold autoregressive (TAR) model and momentum threshold autoregressive (M-TAR) model are performed. The empirical results of the M-TAR model suggests that there is the evidence in support of the presence of asymmetric supply of hog and chicken. In contrast, the M-TAR model supports symmetric supply response for cattle. Only the finding for hog industry is consistent with the a priori expectation that the positive deviation from the long-run equilibrium created by the producers' expectation of high profitability may tend to quickly adjust to a new equilibrium while the negative discrepancy created by the producers' expectation of low profitability tends to persist. Overall, the empirical results suggest that there is evidence in support of symmetric supply response for cattle industry, while there is the presence of asymmetric supply response for hog and chicken industry. These findings imply that the recent structural change in cattle industry contribute to improving the production efficiency for cattle, but in hog and chicken industry, there might exist potential production inefficiencies. The purpose of third essay is to examine asymmetric price transmission in the U.S. pork market. The motivation of this study is found in the structural change in the U.S. pork market that is characterized by more extensive and intensive operations, consolidation of the small and medium scale producers, and the many mergers and acquisitions of meat packers and retailers. In consideration of the various stages of the market linked primarily by price mechanisms, the degree and the speed of adjustment to which prices are transmitted in the marketing chain can play a role in understanding how price transmission works in terms of market efficiency and in assessing direction and distribution of welfare effects in a normative fashion. For this purpose, threshold co-integration analysis is applied by allowing for asymmetric pattern of price adjustment towards a long-run equilibrium in the price relationship between farm and wholesale, and retail levels. The asymmetric error correction model is specified to estimate the short-run adjustment speed of price response towards a long-run steady state. The empirical findings suggest that there might be asymmetric price adjustment in the U.S. pork market while its pattern appears to be different across marketing channels. That is, the response of wholesalers tends to be quicker to increases in producer price (i.e., margin squeezing) than to decreases in producer prices (i.e., margin stretching), while wholesale prices respond more quickly to decreases in retail prices. These may be generally understood in the presence of non-competitive pricing behavior of agents at a certain chain beyond farm gate. Such findings imply that the recent structural changes in the U.S. pork market may hinder efficient price transmission mechanism across the marketing channels.

Author(s):  
Yohana James Mgale

This article analyzes the transmission of prices between marketing agents and the factors affecting onion prices at the consumer level. The Error Correction Model-Engle Granger (ECM-EG) was used to test the price transmission by including the impact of the rise and fall of producer, wholesale and retail prices in past periods. The Error Correction Model (ECM) was applied to the factors affecting onion prices. The test results showed that price transmission was asymmetrical in the short and long-run. With regard to factors, the results show that consumer price in the short-run was influenced by wholesale prices, producer prices and the price of fuel while in the long-run it was influenced by wholesale prices, producer price, price of fuel and consumer prices in the previous period (t-1). These results suggest the existence of a short-term adjustment cost and a long-term market power which distorts price transmission.


Agriculture ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 271
Author(s):  
Limon Deb ◽  
Yoonsuk Lee ◽  
Sang Hyeon Lee

As a staple food, rice has an enormous market in Bangladesh in terms of market participants and the volume of the product. As the price of rice is always a sensitive factor for producers, poor consumers and policy makers, this paper investigates market integration and price transmission along the vertical supply chain of rice. Johansen’s test of co-integration confirmed that farm, wholesale and retail prices are co-integrated in the long-run. A causality test revealed that prices were found to be at wholesale levels for both the upstream and downstream markets. The asymmetry error correction model (ECM) has discovered short-run and long-run asymmetry in price transmission in the vertical supply chain where both producers and consumers were being affected due to positive and negative asymmetry. Threshold autoregressive (TAR) and momentum threshold autoregressive (M-TAR) models have confirmed threshold co-integration as well as threshold effect on asymmetry in price transmission. The results highlight the inevitability of policy implementations and increased public interventions to reduce asymmetry for engendering greater pricing efficiency in Bangladesh rice markets.


2020 ◽  
Vol 4 (1) ◽  
pp. 3-25
Author(s):  
Manzoor Hassan Malik ◽  
Nirmala Velan

PurposeThe aims of the paper are to investigate IT software and service export function for India. First, cointegration tests have been used to investigate the long-run equilibrium relationship of the given variables. Second, long-run coefficients and associated error correction mechanism are estimated.Design/methodology/approachAnnual time series data on IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index have been used for the present study during the period 1980–2017. The data are collected from the National Association of Software and Service Companies (NASSCOM), Planning Commission of India, University Grants Commission (UGC) of India, real effective exchange rate (REER) database and World Bank development indicators. Auto regressive distributed lag (ARDL) model is used to analyze both short-run and long-run dynamic behaviour of economic variables with appropriate asymptotic inferences.FindingsResults of the analysis show the stable long-run equilibrium relationship among the given variables. It is found that external demand, exchange rate, human capital and openness index have a substantial long-run impact on the IT software and service exports. We also found that the coefficient of error correction term is negative and significant at 1% of the level of significance, which confirms the existence of stable long-run relationship which means adjustment will take place when there is a short-run deviation to its long-run equilibrium after a shock.Research limitations/implicationsThere may be other determinants of software and service exports apart from those considered by the present study. Due to the non-availability of data, the study considers only important determinants that determine the software and service exports in India. The IT exports are an emerging and dynamic field of economic activity and the rate of change is so rapid that the relevance of individual factors may change over time. The study period is also limited to available data.Practical implicationsThe paper has implications for achieving sustainability in IT software and service exports growth. It is recommended that policies directed at improving the performance of IT software and service exports should largely consider the long-run behaviour of these variables.Originality/valueThis paper focuses on originality in the analysis of the relationship among the given variables including IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index in India. All the work has been done in original by the authors, and the work used has been acknowledged properly.


2011 ◽  
Vol 8 (1) ◽  
pp. 57 ◽  
Author(s):  
Monia Ben Kaabia ◽  
José María Gil Roig

This paper aims to investigate the non-linear adjustments between farm and retail prices in the tomato sector in Spain. The methodology used is based on the multivariate approach to specify and estimate a Threshold Autoregressive Model. The results indicate that, in the long run, price transmission is perfect. In the short-run, price adjustments between the farm and the retail levels are asymmetric. Retailers always benefit (in terms of increasing marketing margins) from positive and negative shocks affecting supply or demand conditions. Moreover, marketing margins have been found to be main determinants of inflation in the Spanish tomato sector.


Author(s):  
Vedat Yorucu

Purpose – The purpose of this study is to analyze the determinants of changes in carbon dioxide (CO2) emissions for Turkey by utilizing the autoregressive distributed lag approach to investigate the long-run equilibrium relationships of CO2 emissions between foreign tourist arrivals (FTAs) and electricity consumption (ELC). The results reveal that foreign tourists and ELC are significant determinants of a long-run equilibrium relationship with CO2 emissions from electricity and heat production and CO2 emissions from transport for Turkey, respectively. The results of the conditional error correction models (CECM) confirm that there are long-run causal relationships from the growing number of foreign tourist arrivals and the increase of ELC toward the growth of CO2 emissions during 1960-2010. The results of autoregressive distributed lag (ARDL) error correction models for CO2 emissions also validate significant dynamic relationships between CO2 emissions, ELC and tourist arrivals in the short run. Design/methodology/approach – ARDL modeling and Bounds test approach were used in this study. Findings – Rapid tourism development in Turkey has triggered CO2 emissions. The growth of CO2 emissions in Turkey threatens sustainability. The hypothesis of “The growth of CO2 emissions in Turkey” is validated. Tourist arrivals, ELC and CO2 emissions are co-integrated. CECMs confirm the growth of CO2 emissions during 1960-2010. ARDL modeling shows significant relationships between CO2 emissions and other variables. Originality/value – Results of ARDL error correction models for CO2 emissions validate the hypothesis that there are significant dynamic relationships between CO2 emissions, ELC and tourist arrivals in Turkey for the short run.


New Medit ◽  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Amine M. Benmehaia

This paper examines aggregate supply response of 19 selected crops in Algerian agriculture during the 1966-2018 period by employing cointegration analysis and error correction model (ECM). It tests whether there has been a long-run equilibrium relationship between agricultural outputs and prices, besides a confirmation about the responsiveness of agricultural supply to economic incentives (prices). Findings indicate that the long-run elasticities of all selected crops with respect to prices are statistically significant and mostly low, whereas short-run elasticities are lower, which appeals to the adequacy of adjustment to economic incentives. Furthermore, the results of the ECM confirmed the positive responsiveness to prices with differential rates of adjustment for selected crops, ruling out the applicability of a presumed perverse supply response in Algerian agriculture.


Author(s):  
Muhammad Zamir Khan

Understanding the determinants of transport demand is crucial in making effective transport and environmental policies. In that context, the present study provides an empirical analysis of both road passenger and freight transport demand in Pakistan, using annual time series data from 1980 to 2016. The auto-regressive distributed lag bounds testing approach of co-integration is employed to estimate the short- and long-run elasticities. The empirical results show that fuel price, per-capita income, urbanization and road density are important determinants of road passenger transport demand in Pakistan. Similarly, fuel price, industrial production and international trade are the main drivers of road freight transport demand. In general, long-run elasticities are greater than short-run elasticities. Moreover, the long-run fuel price elasticities of passenger and freight transport demand are –0.044 and –0.784, respectively, implying that policy instruments (raising fuel taxes) are relatively less effective in controlling the future road transport demand and associated environment problems. The results based on short-run error correction models indicate that passenger transport demand adjusts about 75% in the first year to achieve its long-run equilibrium, while that of freight demand adjusts toward long-run equilibrium at a relatively slower rate, with about 16% of error correction taking place in the following year to reach long-run equilibrium.


2015 ◽  
Vol 7 (3) ◽  
pp. 435-447 ◽  
Author(s):  
Yumeng Wang ◽  
Shuoli Zhao ◽  
Zhihai Yang ◽  
Donald J. Liu

Purpose – The purpose of this paper is to investigate the causal relationship between the prices of rice, crude oil, wheat, corn and soybean in China and estimate the long-run and short-run price relationships. Design/methodology/approach – Using monthly price date over the period of January 1998-December 2013 in China, this paper employs an autoregressive distributed lag (ARDL) bounds test to explore the cointegration relationship among the price variables and estimate the ARDL long-run price relationship and the short-run error correction process (ARDL-EC). Findings – The empirical results indicate that crude oil, as one of the forcing variables along with wheat, corn, and soybean prices, is effecting rice price in China. Both the long-run and short-run price transmission elasticity estimates suggest the importance of crude oil price on the formation of rice prices. Furthermore, the adjustment speed coefficient is found to be statistically significant, supporting the notion that there is an error correction mechanism for maintaining the long-run price relationship facing short-run shocks. Originality/value – This paper adopts four types of commodity food prices to explore the relationships with crude oil price. The evidence of market integration, including the degree of price transmission and the speed of adjustment, remains a crucial step to proceed with the government intervention.


Author(s):  
E. N. Azifuaku ◽  
C. O. A. Ugwumba ◽  
T. O. Okoli ◽  
Uche Okeke

This study examined the price competitiveness and supply response of rice producers in Nigeria and its implication for agricultural trade. Specifically, it examined the trade balance for rice; examined price volatility; estimated supply response coefficients and the determinants of supply response of rice producers in Nigeria. Data were collected from secondary sources and covered the period 1972 to 2017. Data analyses were achieved using descriptive and inferential statistics.  Results indicated a negative trade balance (x = - N20/kg) between imported rice and domestic rice. Price volatility result showed that volatility in agricultural markets was high, with that of imported rice being higher than domestic rice, then maize. Supply response coefficients for rice indicated that production output, price of maize and annual rainfall statistically and significantly influenced supply of rice while domestic price of local rice, price of imported rice and government expenditure on agriculture were not significant. All the series were stationary in the first difference and there was linear combination or long-run equilibrium relationship among the co-integrated variables. There were price adjustments between short-run to long-run equilibrium and the error correction coefficient was -0.209. Further results showed that the price and probably favoured quality of imported rice constrained domestic production and negatively impacted rice exports from Nigeria. This indicates a potentially significant impediment to the expansion of rice production in Nigeria. Government must put in place guaranteed minimum price for rice, and be ready to act as buyer of last resort, as incentives for the farmers, to sustainably increase production and the country to attain self-sufficiency in the short-run. Government and non-governmental institutions should provide improved production inputs and modern processing facilities to enhance the competitiveness of local rice against imported rice, both in terms of quality and price.


Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1463
Author(s):  
Ghulam Mustafa ◽  
Azhar Abbas ◽  
Bader Alhafi Alotaibi ◽  
Fahd O. Aldosri

Increasing rice production has become one of the ultimate goals for South Asian countries. The yield and area under rice production are also facing threats due to the consequences of climate change such as erratic rainfall and seasonal variation. Thus, the main aim of this work was to find out the supply response of rice in Malaysia in relation to both price and non-price factors. To achieve this target, time series analysis was conducted on data from 1970 to 2014 using cointegration, unit root test, and the vector error correction model. The results showed that the planted area and rainfall have a significant effect on rice production; however, the magnitude of the impact of rainfall is less conspicuous for off-season (season 2) rice as compared to main-season rice (season 1). The speed of adjustment from short-run to long-run for season-1 rice production is almost two-and-a-half years (five production seasons), while for season-2 production, it is only about one-and-a-half year (three production seasons). Consequently, the study findings imply the supply of water to be enhanced through better water infrastructure for both seasons. Moreover, the area under season 2 is continuously declining to the point where the government has to make sure that farmers are able to cultivate the same area for rice production by providing uninterrupted supply of critical inputs, particularly water, seed and fertilizers.


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