scholarly journals Disentangling Corn Price Volatility: The Role of Global Demand, Speculation, and Energy

2012 ◽  
Vol 44 (3) ◽  
pp. 401-410 ◽  
Author(s):  
Lihong Lu McPhail ◽  
Xiaodong Du ◽  
Andrew Muhammad
Keyword(s):  
Commodity Prices ◽  
Price Volatility ◽  
Extensive Literature ◽  
Energy Prices ◽  
Contributing Factors ◽  
Price Variation ◽  
Long Run ◽  
Global Demand ◽  
Short Run

Despite extensive literature on contributing factors to the high commodity prices and volatility in the recent years, few have examined these causal factors together in one analysis. We quantify empirically the relative importance of three factors: global demand, speculation, and energy prices/policy in explaining corn price volatility. A structural vector auto-regression model is developed and variance decomposition is applied to measure the contribution of each factor in explaining corn price variation. We find that speculation is important, but only in the short run. However, in the long run, energy is the most important followed by global demand.

scholarly journals Agriculture as a Determinant of Zambian Economic Sustainability

2020 ◽  
Vol 12 (11) ◽  
pp. 4559 ◽  
Author(s):  
Joseph Phiri ◽  
Karel Malec ◽  
Socrates Kraido Majune ◽  
Seth Nana Kwame Appiah-Kubi ◽  
Zdeňka Gebeltová ◽  
...  
Keyword(s):  
Economic Growth ◽  
Food Processing ◽  
National Income ◽  
Commodity Prices ◽  
Economic Diversification ◽  
Speed Of Adjustment ◽  
Long Run ◽  
Short Run ◽  
The Impact

For several years, the Zambian economy relied on the mining sector, which has been affected by fluctuations in commodity prices. The new century enhanced the calls for economic diversification, with the agricultural, manufacturing, and services sectors amongst those pronounced. This article focused on the role of agriculture in supporting the economy, particularly, the effect of agriculture on economic growth. The data analyzed was reviewed for the period 1983–2017. The ARDL Bounds Test was applied in order to meet the said objectives. The ECM results suggest that agriculture, manufacturing, services, and mining converge to an equilibrium and affect economic growth at the speed of adjustment of 90.6%, with the effect from agriculture, mining, and services being significant. The impact of agriculture on economic growth was significant in both the short-run and long-run, with coefficient unit effects of 0.428 and 0.342, respectively. The effects are strong because more than two-thirds of the rural population rely on farming, and agriculture has stood as a catalyst for food security. For the effect of agriculture to be much more profound, farmers must be supported with adequate infrastructure, accessibility to markets, farming inputs, better irrigation techniques, which would address the problem of reliance on rain, all of which were inconsistent in the last decade. Additionally, governments must ensure the institutionalization of food processing industries which add more value to the national income.

scholarly journals Saving energy in residential buildings: the role of energy pricing

2021 ◽  
Vol 167 (1-2) ◽  
Author(s):  
Jens Ewald ◽  
Thomas Sterner ◽  
Eoin Ó Broin ◽  
Érika Mata
Keyword(s):  
Energy Demand ◽  
Income Elasticity ◽  
Residential Buildings ◽  
Policy Framework ◽  
Energy Prices ◽  
Residential Energy ◽  
Residential Energy Demand ◽  
Long Run ◽  
Zero Carbon

AbstractA zero-carbon society requires dramatic change everywhere including in buildings, a large and politically sensitive sector. Technical possibilities exist but implementation is slow. Policies include many hard-to-evaluate regulations and may suffer from rebound mechanisms. We use dynamic econometric analysis of European macro data for the period 1990–2018 to systematically examine the importance of changes in energy prices and income on residential energy demand. We find a long-run price elasticity of −0.5. The total long-run income elasticity is around 0.9, but if we control for the increase in income that goes towards larger homes and other factors, the income elasticity is 0.2. These findings have practical implications for climate policy and the EU buildings and energy policy framework.

Enhancing Economic Growth and Government Revenue Generation in Nigeria: The Role of Diaspora Remittances

2021 ◽  
pp. 003464462110256
Author(s):  
Dal Didia ◽  
Suleiman Tahir
Keyword(s):  
Economic Growth ◽  
Parameter Estimates ◽  
Gross Domestic Product Growth ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
The Empirical Analysis

Even though remittances constitute the second-largest source of foreign exchange for Nigeria, with a $24 billion inflow in 2018, its impact on economic growth remains unclear. This study, therefore, examined the short-run and long-run impact of remittances on the economic growth of Nigeria using the vector error correction model. Utilizing World Bank data covering 1990–2018, the empirical analysis revealed that remittances hurt economic growth in the short run while having no impact on economic growth in the long run. Our parameter estimates indicate that a 1% increase in remittances would result in a 0.9% decrease in the gross domestic product growth rate in the short run. One policy implication of this study is that Nigeria needs to devise policies and interventions that minimize the emigration of skilled professionals rather than depending on remittances that do not offset the losses to the economy due to brain drain.

scholarly journals Energy Prices, Real Estate Sales and Industrial Output in China

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1847 ◽  
Author(s):  
K. Chau ◽  
Gaolu Zou
Keyword(s):  
Real Estate ◽  
Value Added ◽  
Industrial Sector ◽  
Data Series ◽  
Energy Prices ◽  
Industrial Output ◽  
Energy Efficient Buildings ◽  
Long Run ◽  
Different Types ◽  
Short Run

A majority of energy is consumed to control the indoor environment for human activities and industrial production. The demand for energies for these two uses are reflected in demand for different types of real estate and the volume of industrial outputs. The purpose of this study is to examine the long-run equilibrium and short-run dynamics between real energy prices and demand for different types of real estate and industrial output in China. Energy prices are measured in the real price of fuels and power. Demand for different types of real estate is measured in their sales volume in the first hand market, that is, floor areas of new real estate sold by developers. Industrial output is measured by the net output (value added) of the industrial sector. All data series were tested for stationarity (i.e., the existence of a unit root) before testing for a co-integration relationship. We found no long-term equilibrium relationship between energy prices and the demand for real estate and industrial output as predicted by theory, probably due to increased supply of energy efficient buildings. There is also no short-run relationship between energy prices and demand for housing due to the increase in vacancy rate resulting from speculative demand for housing. However, demand for commercial properties appeared to lead energy prices. Finally, there is strong evidence suggesting that an increase in energy prices will significantly reduce industrial output but not vice versa.

scholarly journals Modeling and Forecasting Gold Prices

2020 ◽  
Author(s):  
Richmond Sam-Quarm ◽  
Mohamed Osman Elamin Busharads
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Price Volatility ◽  
Gold Price ◽  
Oil Price ◽  
Future Market ◽  
Open Interest ◽  
Long Run ◽  
Short Run ◽  
Japanese Yen

The aim of this paper is to explore the reasons of gold price volatility. It analyses the information function of the gold future market by open interest contracts as speculation effect, and further fundamental factors including inflation, Chinese yuan per dollar, Japanese yen per dollar, dollar per euro, interest rate, oil price, and stock price, in the short-run. The study proceeds to build a Dynamic OLS model for long-run equilibrium to produce reliable gold price forecasts using the following variables: gold demand, gold supply, inflation, USD/SDR exchange rate, speculation, interest rate, oil price, and stock prices. Findings prove that in the short-run, changes in gold price does granger cause changes in open interest, and changes in Japanese yen per dollar does granger cause changes in gold price. However, in the long-run, the results prove that gold demand, gold supply, USD/SDR exchange rate, inflation, speculation, interest rate, and oil price are associated in a long-run relationship.References

scholarly journals THE IMPACT OF THE WORLD FOOD PRICE INDEX ON SOME EAST-EUROPEAN ECONOMIES

2018 ◽  
Vol 19 (2) ◽  
pp. 268-287
Author(s):  
Corina Saman ◽  
Cecilia Alexandri
Keyword(s):  
Price Volatility ◽  
Agricultural Trade ◽  
Food Prices ◽  
Food Price ◽  
Long Run ◽  
Short Run ◽  
Positive Shock ◽  
Macroeconomic Implications ◽  
The Impact ◽  
Global Food

This paper deals with the dynamic response of exchange rates, inflation and agricultural foreign trade in Bulgaria, Poland and Romania to global food prices. We employ time-varying VARs with stochastic volatility to estimate the behaviour of these macroeconomic variables over the 2001M1–2015M12 period. The original contribution of this paper is that it captures the time variation and nonlinearities of the relationship between variables taking into account food price volatility and its macroeconomic implications. The main findings of the paper are: (i) high global food prices were transmitted to domestic economies causing pressure on inflation in the long run; (ii) in the short run the impact of a positive shock in international food price increases domestic inflation, depreci-ates the currency and reduces the agricultural trade; (iii) the vulnerabilities to global food prices are more pregnant for Romania and Bulgaria; (iv) the difference in the transmission of world prices is related to the different status of the countries as regards food and agricultural trade. The findings of the research would be significant for the governments to promote policies to help farmers respond to the rising of food prices by growing more and responding to export opportunities that may arise.

Money and Household Consumption Expenditure in Developing Asia: Some Panel ARDL Evidence

2021 ◽  
pp. 001946622110624
Author(s):  
Ghanashyama Mahanty ◽  
Himanshu Sekhar Rout ◽  
Swayam Prava Mishra
Keyword(s):  
Economic Growth ◽  
Interest Rates ◽  
Household Consumption ◽  
Asia Pacific ◽  
Consumption Expenditure ◽  
Data Set ◽  
Final Consumption ◽  
Long Run ◽  
Short Run

The role of money in influencing real economic activities has been a long-standing debate in macroeconomics. As per the Keynesian theory, household consumption expenditure plays a significant role in promoting economic growth. Given the rapid consumption-led growth pattern in the emerging Asia Pacific region, in this article, we attempt to assess the role of money in influencing household consumption expenditure, which propels economic growth. We employ a panel data set from 2005–2018 for 10 emerging Asian economies, covering Bangladesh, Cambodia, India, Indonesia, Malaysia, Pakistan, Philippines, Sri Lanka, Thailand and Vietnam. Given the region’s heterogeneous nature, we employ a variant of the popular St Louise equation model with autoregressive distributed lag model (ARDL) panel framework based on pooled mean group (PMG) and dynamic fixed effect (DFE) models developed by Pesaran and Shin to study the underlying relationships. Both PMG and DFE models suggest a strong positive relationship between money and household consumption expenditure both in the long run and short run. After allowing for control variables such as government final consumption expenditure and interest rate, the relationships continue to hold steady. Further, the relationship holds true across both narrow (M1) and broad money (M3) measures. The government final consumption expenditure and interest rates do not have influence on household consumption expenditure in the long run, but they have an influence in the short run. JEL Codes: C23, O16, O47, E51, E31, E21

scholarly journals Volatility and Causality in Strategic Commodities: Characteristics, Myth and Evidence

2017 ◽  
Vol 9 (8) ◽  
pp. 162
Author(s):  
Youngho Chang ◽  
Zheng Fang ◽  
Shigeyuki Hamori
Keyword(s):  
Commodity Prices ◽  
Precious Metals ◽  
Price Volatility ◽  
Common Belief ◽  
Simultaneous Impact ◽  
Long Run ◽  
Gold Silver ◽  
The Common ◽  
Causality Relationship ◽  
Time Periods

Commodity prices have fluctuated sharply and Brent oil has been considered the most volatile commodity in price. This paper aims to reveal the true characteristics of the price volatility of six commodities, namely, Brent oil, gold, silver, wheat, corn and soybean and to verify the existence of a long-run relationship and causation among each pair of commodity prices. It finds that there has been persistent volatility in prices of all six commodities from 1986 to 2010. Contrary to the common belief, however, Brent oil appears not to be the most volatile in price. Rather the prices of precious metals and agricultural commodities have been more volatile than Brent oil for some time periods. It also finds that there has been a long-run relationship between the prices of Brent oil and soybean, of Brent oil and wheat, and a bilateral causality relationship between them, which implies that there has been a simultaneous impact on the price trajectories of these commodities.

scholarly journals An attribution analysis of soybean price volatility in China: global market connectedness or energy market transmission?

2020 ◽  
pp. 1-12
Author(s):  
Youwang Zhang ◽  
Chongguang Li ◽  
Yuanyuan Xu ◽  
Jian Li
Keyword(s):  
Price Volatility ◽  
Global Market ◽  
Energy Price ◽  
Policy Makers ◽  
Market Participants ◽  
Long Run ◽  
Soybean Price ◽  
Short Run ◽  
Pass Through ◽  
The Impact

This study examines the impact of international soybean price and energy price on Chinese soybean price. Applied to monthly data over the period of 2007-2017, results show that both international soybean price and energy price have significant impacts on Chinese soybean price, while the impact from global soybean market tends to be more profound. First, we find that in the long run the cumulative pass-through elasticity of Chinese soybean price to international soybean price is greater than the elasticity to international energy price. Second, in the short run, international soybean price shocks transmit more quickly to Chinese soybean price. Our results shed new light on the determinants of soybean price volatility in China, and provide meaningful implications on the price risk management for market participants and policy makers.

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