scholarly journals Supply Response of Milk Producers to Economic and Non-Economic Factors in Swaziland

2017 ◽  
Vol 5 (4) ◽  
pp. 14
Author(s):  
Micah Bheki Masuku ◽  
Mlungisi C. Sukati ◽  
Jeremiah I Rugambisa
Keyword(s):  
Time Series Data ◽  
Milk Powder ◽  
Series Data ◽  
Economic Factors ◽  
Vector Error Correction ◽  
Supply Response ◽  
Vector Error ◽  
Long Run ◽  
Milk Output ◽  
Short Run

Supply response indicates the output change due to the change in price and non-price factors. The main aim of this study was to analyse the supply response of milk producers to various economic and non-economic factors. The specific objectives were to determine the responsiveness of milk supply in Swaziland to price and its substitute price (milk powder) and to examine the responsiveness of milk producers to non-economic factors such as rainfall, technology and dairy cattle inventory. The study used time series data from 2010 to 2014 and each year was given in months in-order to have 60 data points. Several techniques relevant for analysing time series data were employed, which included testing for stationarity of the data, checking if the independent variables if are able to explain the dependent variable (cointegration), running the long-run regression, then dropping some of the residuals which were not significant, after which the Vector Error-Correction Model and the diagnostic tests were conducted. Such analysis included the formal test for stationarity. The Johansen cointegration test was used which provided evidence of cointegration between Milk Output and its determinants. The long-run regression results revealed that Milk Powder Output and Milk Powder Price are significant in determining milk response in the long-run in Swaziland with the elasticities of -0.48 and -0.92 respectively, while the short-run coefficients were-0.21 and -0.70 respectively. Both variable were significant at 1% in the short-run and only the Milk Output was significant at 5% (P>0.05) in the short-run. The Vector Error Correction Model (VECM) came out with the correct -0.129 implying that only 12.9% of the shocks will be adjusted back to the long-run path within a month. The study therefore, recommended that the Swaziland Government should promote local market share and purpose policies to decrease the country’s reliance to imported dairy products, which negatively affects economic development.

scholarly journals Microfinance Banks Dynamics Effect on Small-Scale Enterprise Development in Nigeria

2020 ◽  
Vol 6 (2) ◽  
pp. 64
Author(s):  
Adesola, Wasiu Adebisi ◽  
Ewa, Uket Eko ◽  
Arikpo, Oka Felix
Keyword(s):  
Time Series Data ◽  
Series Data ◽  
Survey Method ◽  
Small Scale ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Domestic Savings ◽  
Short Run ◽  
The Government

This study examined the effect of Microfinance Banks on the development of Small and Medium Scale Enterprises in Nigeria. This study was specifically meant to assess the extent to which microfinance banks loans and advances, investments and deposit mobilization affect the productivity of SMEs in Nigeria. The study employed the ex-pose facto research design. Time series data were collected from the CBN statistical Bulletin and SMEDAN annual publications using the desk survey method. The data were analysed using the Vector Error Correction Mechanism. Result from the analyses revealed that Microfinance banks loans and advances and investments do not have any significant effect on SMEs’ productivity in Nigeria both in the long run and short run period. The study further reveals that microfinance banks’ deposit mobilization does not have any significant effect on SMEs’ productivity in Nigeria in the long run, however, within the short run period microfinance banks deposits mobilization has a significant effect on SMEs’ productivity. Based on these findings, it was recommended that MFBs should lighten the condition for lending and increase the duration of lending to their customers, spreading the repayment over a long period of time to assist SMEs meet their funding needs. Also, the Government and its institutions, including the Central Bank, should work in concert to promote the sector, as a means of mobilizing domestic savings, widening the financial system, promoting enterprises, creating employment and income and reducing poverty.

scholarly journals Estimation of peach supply response in Colombia using a Vector Error Correction Model

ENTRAMADO ◽  
2021 ◽  
Vol 17 (1) ◽  
pp. 250-260
Author(s):  
Susan Elsa  Cancino ◽  
Giovanni Orlando Cancino-Escalante
Keyword(s):  
Time Series ◽  
Error Correction ◽  
Time Series Data ◽  
Series Data ◽  
Correction Coefficient ◽  
Vector Error Correction ◽  
Supply Response ◽  
Vector Error ◽  
Long Run ◽  
Augmented Dickey Fuller

An empirical study of peach supply response to own-price and yield in Colombia using time series data from 2000 to 2018 was undertaken. A quantitative, correlational and non-experimental research design was selected and the Johansen´s co-integration as well as the vector error correction framework were employed. The Augmented Dickey-Fuller test showed that the time series were integrated of order one and the Johansen´s co-integration confirmed the existence of a long-term relationship between the variables. Moreover, the short and long run coefficients for own-price and yield were statistically significant and presented the expected signs, however, estimated own-price elasticity was below unit suggesting it is not an important factor in peach supply response. Furthermore, the vector error correction coefficient (-0.32) was negative and in line with theory, which showed that in the long-run, the model converges towards equilibrium, however at a relatively slow pace. Therefore, it can be concluded that, overall, the proposed model contributes to the understanding of the dynamics in peach output supply.

scholarly journals The Dynamic of Macroeconomics Elements in Malaysia: Further Insight into Causality Analysis

2019 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Dayang Hummida Abang Abdul Rahman ◽  
Nuzaihan Majidi ◽  
Jati Kasuma ◽  
Yusman Yacob ◽  
Dayang Affizzah Awang Marikan
Keyword(s):  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Causality Analysis ◽  
Causality Test ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Short Run

This paper intends to explore the causality effect between Growth Domestic Product (GDP), population and unemployment in Malaysia. Based on the observation of Malaysia’s historical data, there is a distinct movement in each of these individual macroeconomics components over the years. Past literature within the same area has illustrated various patterns on the possibility of a causal relationship that each variable has on one another. Several stages of analysis are conducted to verify the presence of causality effect from Malaysian economic perspective, which includes unit root test that employs the Augmented Dickey Fuller (ADF), Phillips-Perron (PP) and Kwiatkowski-Phillips-Schmidt-Shin (KPSS) procedures, followed by Johansen and Juselius test of cointegration and Granger-causality test based on Vector Error Correction Model (VECM) using E-views software. Each procedure is conducted using Malaysia’s time series data for each of the three elements from 1980 to 2013 obtained from Malaysia’s Department of Statistics. Our findings revealed that there is one cointegration detected for the tested variables; whereas the results indicate that population can Granger cause unemployment in the short run. Furthermore, it is found that unemployment solely bears the effect from short run adjustment to bring about the long run equilibrium within the tested framework. This study is important for the policy maker to understand the reason behind the causality effect that could jeopardize the rate of unemployment in Malaysia. As the attention is given specifically to three variables particularly GDP, population and unemployment, this study is aimed at broadening the prospect for further investigation within the same area of macroeconomics.

scholarly journals Do Erratic Rainfalls Hamper Grain Production? Analysis of Supply Response of Rice to Price and Non-Price Factors

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1463
Author(s):  
Ghulam Mustafa ◽  
Azhar Abbas ◽  
Bader Alhafi Alotaibi ◽  
Fahd O. Aldosri
Keyword(s):  
Unit Root Test ◽  
Rice Production ◽  
Vector Error Correction ◽  
Supply Response ◽  
Target Time ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
The Impact

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.

scholarly journals Savings Mobilization and Financial Development during the Multicurrency Regime Period in Zimbabwe

2017 ◽  
Vol 9 (3(J)) ◽  
pp. 152-162
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Financial Development ◽  
Time Series Data ◽  
Empirical Literature ◽  
Series Data ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
The Subject ◽  
The Relationship

This paper seeks to investigate the relationship between savings and financial development in Zimbabwe using both autoregressive distributive lag (ARDL) and vector error correction model (VECM) approaches for comparison purposes with monthly time series data from January 2009 to August 2015. Four distinct hypotheses emerged from the literature and these are the savings-led financial development, financial development-led savings, feedback effect and the insignificant/no relationship hypothesis. The existence of diverging and contradicting views in empirical literature on the subject matter is evidence that the linkage between savings and financial development is still far from being concluded. Both F-Bounds and Johansen co-integration tests observed that there is a long run relationship between savings and financial development in Zimbabwe. What is even more unique about this study is that both ARDL and VECM noted the presence of a bi-directional causality relationship between savings and financial development in the short and long run in Zimbabwe. The implication of this study is that in order to increase economic growth, Zimbabwe authorities should increase savings mobilization efforts in order to boost financial development, which in turn attracts more savings inflow into the formal financial system.

scholarly journals The Spillover Effects on Strategic Interdependence Neighboring Countries: A Game Theory Approach

2021 ◽  
Author(s):  
Oyundelger Sharkhuu ◽  
Pu Yongjian ◽  
Batdelger Tsogt-Ochir ◽  
Tugs Sanjdorj
Keyword(s):  
Game Theory ◽  
Time Series Data ◽  
Spillover Effects ◽  
Three Dimensions ◽  
Series Data ◽  
Theory Approach ◽  
Vector Error Correction ◽  
Long Run ◽  
Inbound Tourism ◽  
Short Run

The main aim of sustainable development is to ensure an intelligible and long-lasting balance between the economy, society, and the environment. Sustainable tourism could only be successful if the inter-relationships between all three dimensions are accepted. In the limited number of research analyses, the focus of the research is on competition between tourist countries and destinations. This study has used Game theory to analyze the competition applies time-series data in selected neighboring countries measure of a VAR-based spillover index, developed by [1] to investigate the time-varying relationship between tourism and Gross Domestic Product. Each country analyzed Vector Error Correction (VEC) and Granger analysis to explore the causal short and long-term tourism and use a sample that spans from 1997 to 2019. From the main results of Cholesky, the total spillover index is 59.0% between Russia and Mongolia which suggests a moderate interdependence among the four variables. Findings indicate that neither China nor Mongolia have a short-run influence on tourism development. China's inbound tourism is affected in the long run by Mongolia's inbound tourism but not vice versa can be explained by the fact that the number of tourists visiting Mongolia would include China in their travels.

scholarly journals Budget Deficits and Economic Growth: A Vector Error Correction Modelling of South Africa

2017 ◽  
Vol 9 (2(J)) ◽  
pp. 215-223
Author(s):  
Kagiso Molefe ◽  
Andrew Maredza
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Error Correction ◽  
Budget Deficit ◽  
Time Series Data ◽  
Series Data ◽  
Budget Deficits ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

The primary motivation behind this study was to explore the consequential effects of budget deficit on South Africa`s economic growth. Six variables were used, namely: real GDP, budget deficit, real interest rate, labour, gross fixed capital formation and unemployment. The Vector Error Correction Model (VECM) was used to estimate the long-run equation and also measure the correction from disequilibrium of preceding periods. Using annual time series data spanning the period 1985 to 2015, empirical evidence from the study revealed that budget deficits and economic growth are inversely related. It was therefore concluded that high levels of budget deficit in South Africa have detrimental effects on the growth of the economy. The estimate of the speed of adjustment coefficient found in this study revealed that about 29 per cent of the variation in GDP from its equilibrium level is corrected within one year. The results obtained in this study are favourably similar to those in the literature and are also sustained by previous studies.

scholarly journals Causality analysis between exports, imports and economic growth of Pakistan

2017 ◽  
Vol 1 (1) ◽  
pp. 45-52
Author(s):  
Syyeda Farhana Shah ◽  
Saleem Khan ◽  
Abdur Rauf
Keyword(s):  
Time Series Data ◽  
Causal Relation ◽  
Series Data ◽  
Vector Error Correction Model ◽  
Causality Analysis ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Adf Test

The objective of study is to identify causal relationships among the variables such as exports, imports and Gross Domestic Product (GDP) in case of Pakistan. The study uses time series data for the period from 1981-2016. Stationarity is checked with the Augmented Dickey Fullers' (ADF) test, and the Engle Grange approach is utilized to determine the long run relationship among variables of the study. Moreover, causality among the selected variables is tested by using the Vector Error Correction Model (VECM). We found that the causality runs from GDP to imports and exports. Furthermore, no causal relation is found from exports to GDP and from imports to GDP, but the causality goes from GDP to these two variables. The causality from GDP to exports and imports are positive and significant. Finally, the results indicate that the causal relationship between GDP and imports is stronger than the GDP and exports.

scholarly journals The causal and cointegration relationship between government revenue and government expenditure

2017 ◽  
Vol 6 (3) ◽  
pp. 23-32
Author(s):  
Kebitsamang Anne Sere ◽  
Ireen Choga
Keyword(s):  
South Africa ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Government Revenue ◽  
Causality Test ◽  
Vector Error Correction ◽  
Long Run ◽  
Reserve Bank ◽  
Short Run

This study determines the causal relationship that exists between government revenue and government expenditure in South Africa. The study employed annual time series data from the year 1980 to 2015 taken from the South African Reserve Bank. The Johansen multivariate method was employed to test for co-integration and for causality the Vector Error Correction/Granger causality test was employed. The empirical results suggest that there is a long-run relation-ship between government revenue and government expenditure. The causality result suggests that there is no causality between government revenue and government expenditure in South Africa. Thus, policy makers in the short run should determine government revenue and government expenditure of South Africa independently when reducing the budget deficit.

Development and Degradation: The Nexus between GDP, FDI, and Pollution in India

2020 ◽  
Vol 6 (1) ◽  
pp. 39-49
Author(s):  
Tripura Sundari C. U. ◽  
Anindita Mitra
Keyword(s):  
Error Correction ◽  
Time Series Data ◽  
Unit Root Test ◽  
Wald Test ◽  
Series Data ◽  
Kuznets Curve ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Per Capita

The nexus between development and environment has been a debatable topic for years, more so when foreign direct investment (FDI is used to accelerate the economy. Since environmental Kuznets curve may not be achievable by all economies and many studies have not been able to establish a consistent relationship between FDI and environment, this study determines the liaison between FDI, GDP, and pollution in India with time series data from 1990 to 2015. While per capita GDP plotted against per capita carbon dioxide (CO2) emission indicates an alarming positive relation, the co-integration between FDI, GDP, and CO2 tested using unit root test statistics (augmented Dickey–Fuller test) for stationarity and then by Johansen and Juselius’s multivariate co-integration technique show a long-run co-integration. Since the existence of a relationship between variables does not prove causality, the variables are phrased in a vector error correction (VEC) form and vector error correction mechanism (VECM) Granger causality/block exogeneity Wald test which reveals that FDI has a positive and significant impact on pollution and GDP attracts FDI. This transitive relation suggests that FDI in pollution-controlling technology would be a feasible solution to sustainable development.

Sign in / Sign up

Export Citation Format

Share Document