scholarly journals Examining Yam Production in Response to Climate Change in Nigeria: A Co-Integration Model Approach

2020 ◽  
Vol 9 (4) ◽  
pp. 42
Author(s):  
Cynthia W. Angba ◽  
Richard N. Baines ◽  
Allan J. Butler
Keyword(s):  
Climate Change ◽  
Error Correction ◽  
Trend Analysis ◽  
Linear Trend ◽  
Error Correction Model ◽  
Series Data ◽  
Integration Model ◽  
Correction Model ◽  
Linear Trend Analysis ◽  
Model Approach

This study addressed yam production in response to climate change in Cross River State using a co-integration model approach. The specific objectives of this paper are to analyze the trend in yam production, annual precipitation, and annual temperature, and to analyze the impact of climate variables on yam production. Time-series data from 1996 to 2017 was used. Based on the analysis, which constituted a linear trend analysis, co-integration test, and error correction model, the study came up with robust findings. The linear trend analysis for yam production revealed a steady increase in output between the years 2005 and 2016. The result of the rainfall trend analysis showed the presence of rainfall variability and irregularity. The trend line for temperature showed an overall downward trend for the period under study. However, the Error Correction Model result showed that temperature was statistically significant and negatively impacted yam production. The study recommends that policymakers should take appropriate steps to encourage the development of pest- and disease-tolerant yam varieties because an increase in temperature leads to the proliferation of insects, pests, and diseases.

scholarly journals Relationship between Trade Openness and Inflation: Empirical Evidences from Pakistan (1976-2010).

2011 ◽  
Vol 50 (4II) ◽  
pp. 853-876 ◽  
Author(s):  
Sehar Munir ◽  
Adiqa Kausar Kiani
Keyword(s):  
Error Correction ◽  
Trade Openness ◽  
Value Added ◽  
Error Correction Model ◽  
Series Data ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Unit Root Testing ◽  
Vector Error

This study empirically verifies the existence of significant relationship between inflation and trade openness for Pakistan using annual time-series data for the period of 1976 to 2010. The basic objective of this study is to examine the Romer‘s hypothesis for Pakistan with real agriculture value added, real exchange rate, real gross domestic product, financial market openness, money and quasi money and used trade openness, import openness and export openness ratios separately as explanatory variables with inflation rate as dependent variables. For this purpose, we have used multivariate Johansen (1998) and Johansen and Juselius (1990) Maximum Likelihood Cointegration Approach and a Vector Error Correction Model (VECM) and the expected empirical findings shows that there is a significant positive long-run relationship between inflation and trade openness, which rejects the existence of Romer‘s hypothesis for Pakistan. JEL classification: B26, E31, P24, P44 Keywords: Trade Openness, Inflation, Unit Root Testing, Multivariate Cointegration Approach, Vector Error Correction Model, Pakistan

scholarly journals The Relationship between Tax Revenue and Economic Growth in Nepal: A Co-integration Approach

2018 ◽  
Vol 11 (1) ◽  
pp. 28-36
Author(s):  
Gautam Maharjan
Keyword(s):  
Economic Growth ◽  
Error Correction ◽  
Unit Root ◽  
Unit Root Test ◽  
Error Correction Model ◽  
Series Data ◽  
Tax Revenue ◽  
Correction Model ◽  
The Impact ◽  
The Relationship

The main objective of this paper is to examine the relationship between tax revenue and economic growth in Nepal. The 43 years' annual time series data from 1974/75 to 2016/17 of GDP, tax revenue and nontax revenue have been used to test the causal relationship of the variables. A unit root test, Engle-Granger’s co-integration and Error Correction Model have been applied for the data analysis. The variables have been found stationary after first differencing I(1) when Augmented Dickey-Fuller unit root test is employed. From Engel-Granger test, it has been found that the variables are co-integrated. The short-term coefficients are not significant, however error correction term (ECT) is significant and contains a negative sign in the error correction model (ECM). It validates the ECM model. The ECT has shown that the annual speed of adjustment from disequilibrium to equilibrium is 34.3 percent. So far as the relationship is concerned, there is a long run relationship between tax revenue and economic growth in Nepal controlling the non-tax revenue. The impact of tax revenue on economic growth could be a good impetus for the policy maker and planner to increase the collection of revenue for the country.

scholarly journals Official Development Assistance and Poverty Alleviation in Nigeria: An Error Correction Model Approach

2019 ◽  
Vol XI (1) ◽  
pp. 1
Author(s):  
Aderemi Timothy Ayomitunde ◽  
Yusuf Modupe Ololade ◽  
Sodeinde Gbemi Moses ◽  
Aleshinloye Ibrahim Babatunde (Nigeria)
Keyword(s):  
Error Correction ◽  
Poverty Alleviation ◽  
Development Assistance ◽  
Error Correction Model ◽  
Official Development Assistance ◽  
Correction Model ◽  
Model Approach

scholarly journals Exchange rate and Export of Bangladesh: Does Marshall-Lerner condition holds?

2022 ◽  
Vol 10 (1) ◽  
pp. 09-16
Author(s):  
Shovon Roy ◽  
Jonaed
Keyword(s):  
Exchange Rate ◽  
Error Correction ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Error Correction Model ◽  
Series Data ◽  
Causality Test ◽  
Correction Model ◽  
Short Run ◽  
The Exchange Rate

Export is expected to have a favorable impact on GDP growth, and the exchange rate is expected to have a major impact on export and thus export earnings. The relationship between exchange rate and export is a hotly debated topic in macroeconomics, and the goal of this research is to see if the Marshall-Lerner condition holds incase of Bangladesh that is if devaluation of domestic currency increase export earnings. Explanatory variables of the model in the study are the exchange rate, foreign income (WGDP), and domestic income (DGDP). Cointegration approaches; Error Correction model, Granger Causality test are used in this study to estimate the long and short-run impacts. With time series data from 1973Q3 to 2018Q2, we used the Error Correction Model and the Granger Causality Test. The findings of VECM support short-run exchange rate and export adjustments. The bidirectional causality between exchange rate and export is established using the Granger causality test.

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