scholarly journals Multi-Factor Crime in Malaysia, 1980 – 2013: Bounds Testing of Level Relationships and Granger Non-Causality Analysis

2018 ◽  
Vol 3 (2) ◽  
pp. 55
Author(s):  
Dullah Mulok ◽  
Mori Kogid ◽  
Rozilee Asid ◽  
Jaratin Lily
Keyword(s):  
Economic Growth ◽  
Causality Analysis ◽  
Bounds Testing ◽  
Negative Effects ◽  
Macroeconomic Factors ◽  
Factors Affecting ◽  
Positive Effects ◽  
Long Run ◽  
Short Run

This study examines the relationship between criminal activities and the multi-macroeconomic factors of economic growth, unemployment, poverty, population and inflation in Malaysia from 1980 to 2013. The ARDL bounds testing of the level relationship was used to establish the long-run relation, and the Toda-Yamamoto Augmented VAR approach was used to test the short-run impact based on partial Granger non-causality analysis. Empirical results suggest that economic growth, inflation, poverty and population are significant factors affecting criminal activities in Malaysia with economic growth and poverty recording positive effects, whereas negative effects were recorded for inflation and population in the long-term. Further investigation using Granger non-causality analysis revealed that only population does Granger caused the criminal activities in the short-run. The findings provide useful information for policymakers to strengthen the existing crime-related policies in order to improve safety and security while maintaining economic sustainability in Malaysia.

scholarly journals Crop Production, Livestock Production and Economic Growth in Botswana (1990-2017): An Application of ARDL Model

2021 ◽  
Vol 9 (8) ◽  
pp. 1500-1508
Author(s):  
Mufaro Andrew Matandare ◽  
Patricia Masego Makepe ◽  
Lekgatlhamang Setlhare ◽  
Jonah Bajaki Tlhalefang
Keyword(s):  
Economic Growth ◽  
Crop Production ◽  
Agricultural Sector ◽  
Livestock Production ◽  
Long Term Effects ◽  
Bounds Testing ◽  
Long Run ◽  
Short Run ◽  
Testing Approach

There are few studies in Botswana which have examined the relationship between agriculture and economic growth. The uniqueness of this study is grounded in investigating disintegrated agriculture components into crop production and livestock production and investigating their nexus with economic growth. This study estimated the short and long term effects between crop production, livestock production and economic growth in Botswana for the period 1990 to 2017. The Auto-Regressive Distributed Lagged (ARDL) bounds testing approach was employed to investigate the stated relationship. Study findings from the ARDL bound testing approach confirm evidence of a long-run equilibrium relationship between crop production, livestock production and economic growth. Results indicated that livestock production has a positive and significant impact on economic growth both in the short run and long run. On the other hand crop production has a positive and significant impact on economic growth only in the long run. Efforts towards supporting agricultural sector growth should be emphasized to promote agricultural sector productivity in a bid to forge a move away from dependence on imports of food in Botswana. To enhance economic growth, in both the short run and long run, the government of Botswana and all relevant stakeholders should invest in and promote livestock production. In the long term, policies that foster crop production are essential for economic growth.

scholarly journals Renewable Energy Consumption and Economic Growth in Nine OECD Countries: Bounds Test Approach and Causality Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Lin Hung-Pin
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Oecd Countries ◽  
Causality Analysis ◽  
Bounds Testing ◽  
Renewable Energy Consumption ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Vector Error Correction Models

The purpose of this paper is to investigate the short-run and long-run causality between renewable energy (RE) consumption and economic growth (EG) in nine OECD countries from the period between 1982 and 2011. To examine the linkage, this paper uses the autoregressive distributed lag (ARDL) bounds testing approach of cointegration test and vector error-correction models to test the causal relationship between variables. The co-integration and causal relationships are found in five countries—United States of America (USA), Japan, Germany, Italy, and United Kingdom (UK). The overall results indicate that (1) a short-run unidirectional causality runs from EG to RE in Italy and UK; (2) long-run unidirectional causalities run from RE to EG for Germany, Italy, and UK; (3) a long-run unidirectional causality runs from EG to RE in USA, and Japan; (4) both long-run and strong unidirectional causalities run from RE to EG for Germany and UK; and (5) Finally, both long-run and strong unidirectional causalities run from EG to RE in only USA. Further evidence reveals that policies for renewable energy conservation may have no impact on economic growth in France, Denmark, Portugal, and Spain.

scholarly journals Government Spending and Economic Growth in Ghana: Evidence from Granger Causality Analysis

2017 ◽  
Vol 3 (2) ◽  
pp. 50-58 ◽  
Author(s):  
Lucy Anning ◽  
Wang Haisu ◽  
Joshua Sunday Riti
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Government Spending ◽  
Causality Analysis ◽  
Economic Activities ◽  
Bounds Testing ◽  
Causality Test ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

In spite of the diverse major issues affecting the economy of Ghana over the years, the economy continues to experience a downward spiral in its economic growth. Taking into account three opining views regarding government spending and economic growth, this study sets to investigate the causal nexus fractious and economic growth in Ghana. We apply the autoregressive distributed lag (ARDL) bounds testing approach to co-integration and the vector error correction model (VECM)-Granger causality test to evaluate both long- and short-run parameters including the direction of causation with data spanning from 1980 and 2015.The empirical results show evidence of co-integration for the existence of a long-run relationship between the dependent and independent variables. The Granger causality tests, in addition, indicated causal independence between government spending and economic growth within the time framework of the study in the economy of Ghana. Government spending has a cause effect on economic growth in Ghana. However, government spending channeled into a more fractious use with the building of resilience and infrastructural development that are self-liquidating if encouraged will enhance economic activities in the short run and also propel growth in the long run in the Ghana.

scholarly journals Analysis of Ziswaf, Production Index and Sharia Stock Index on Economic Growth

2019 ◽  
Vol 1 (2) ◽  
pp. 221-242
Author(s):  
Purbawati Setyaningsih ◽  
Roikhan Mochamad Aziz ◽  
Puji Hadiyati
Keyword(s):  
Economic Growth ◽  
Stock Index ◽  
Economic Activities ◽  
Negative Effects ◽  
Short Term ◽  
Production Index ◽  
Positive Effects ◽  
Term Model ◽  
Long Run

This study analyzes the influence ZISWAF, Gini ratio, the total export value, the index of industrial production, sharia stock index investment to GDP growth, in the short and long term. Qualitative data were taken from BPS, Baznas, ACT Global Waqf, the FSA from March 2006 until December 2017 using the methodology of The Error Correction Model (ECM). The results of this study indicate that the variable Gini Ratio, Ziswaf, Total exports, Production Index and Sharia Stock Index on GDP economic growth have significant and positive effects in the long term and the short term. Meaning that these variables have a relationship with GDP economic growth. If the variable decreases or slows down-then GDP economic growth also. While total exports have insignificant effects and negative effects on GDP economic growth. The R-square regression value of the long-term model produces a proportion of 96 percent, the short-term model produces a proportion of 97 percent. Both in the long-run and short-run models, the highest coefficient value is the value of the Gini ratio with 4.941522 and 0.348043. All positive coefficients, Gini ratio variables, ziswaf and production index have a significant effect on gdp, total exports and sharia stock indexes do not have a significant effect on gdp both in the long and short-term models. It implies in the future, fiscal economic policy makers to economic growth that opened a lot of employment, by encouraging resource based economic activities of Indonesia's largest export-oriented agriculture and mining. Good Corporate goverment should do so gini ratio of the areas surrounding the economy improved and people kesejahtaeraan increase.

scholarly journals Impact of FDI and Electricity on the Economic Growth of Pakistan: A Long Run Cointegration and Causality Analysis

2021 ◽  
Vol 12 (2) ◽  
pp. 273
Author(s):  
Umer Qazi ◽  
Aftab Alam ◽  
Shahab Ahmad ◽  
Rani Ambreen
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Direct Investment ◽  
Electricity Consumption ◽  
Causality Analysis ◽  
Bounds Testing ◽  
Long Run ◽  
Ardl Bounds Testing ◽  
Short Run ◽  
The Impact

Since the 1980s, analysts have been debating the effect of foreign direct investment (FDI) and electricity consumption (EC) on the economic growth (GDP) of developing countries. The purpose of the study is to estimate the long-run relationship between FDI, electricity consumption and GDP of Pakistan for the period of 1971 to 2017, using ARDL bounds testing, FMOLS and Canonicals cointegration regression. For causality analysis, the study uses a VECM approach for short-run causality directions and MWALD/Toda Yamamoto approach for the long-run causality directions. The cointegration results of all the approaches state that there exists a positive and significant long-run relationship between the concerned variables. The impact of electricity consumption on economic growth is very strong as compared to FDI. Moreover, in the short-run, there is a unidirectional causality running from FDI to GDP and GDP to EC. In the long-run causality, the study finds unidirectional causality for FDI and bidirectional causality for EC with GDP.

scholarly journals Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Bounds Testing ◽  
Mutual Cooperation ◽  
Long Run ◽  
Short Run ◽  
Danube Region ◽  
The Impact

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.

Does Public Debt Service Expenditure Crowd-Out Economic Growth? Empirical Evidence from an African Developing Country

2019 ◽  
Vol 64 (3) ◽  
pp. 23-38
Author(s):  
Talknice Saungweme ◽  
Nicholas M. Odhiambo
Keyword(s):  
Economic Growth ◽  
Public Debt ◽  
Time Series Data ◽  
Policy Formulation ◽  
Debt Service ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Impact

Abstract This paper contributes to the ongoing debate on the impact of public debt service on economic growth; and it provides an evidence-based approach to public policy formulation in Zimbabwe. The empirical analysis was performed by applying the autoregressive distributed lag (ARDL) technique to annual time-series data from 1970 to 2017. The study findings reveal that the impact of public debt service on economic growth in Zimbabwe is negative in the short run but positive in the long run. The results are suggestive of the existence of a crowding-out effect of public debt service in Zimbabwe in the short run and a crowding-in effect in the long run. In view of these findings, the government should consider fiscal and financial policies that promote a constant supply of long-term finance, long-term fixed investments, and extension of a government securities maturity structure so as to ensure sustainable short- and long-term public debt service expenditures. The study further recommends the strengthening of non-distortionary revenue mobilisation reforms to reduce market distortions and boost domestic investment.

scholarly journals Bounds Testing Approach to Cointegration: A Re-examination of FDI and Growth in Vietnam

2013 ◽  
Vol 218 ◽  
pp. 94-113
Author(s):  
ANH PHẠM THẾ ◽  
ĐÀO NGUYỄN THỊ HỒNG
Keyword(s):  
Economic Growth ◽  
Small Sample Size ◽  
Small Sample ◽  
Adjustment Process ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model

This study examines the econometric and empirical evidence of both causal and long-run relationship between foreign direct investment (FDI) and economic growth in Vietnam, covering a time span of 21 years from 1991 to 2012. The recent and robust methodology of bounds testing or autoregressive distributed lag model (ARDL) approach to Cointegration is employed for the empirical analysis. This technique can capture both short-run and long-run dynamics of variables, particularly in small sample size cases. The findings indicate the existence of a Cointegration relationship between the two time series and a modest adjustment process from short-run to long-run equilibrium. Further results from Granger causality tests conducted within the error correction model confirm a bi-directional causality between economic growth and FDI over the study period.

NON-LINEAR EFFECTS OF TERRORISM ON ECONOMIC GROWTH IN PAKISTAN: ACCOUNTING FOR CAPITAL PER WORKER AND STRUCTURAL BREAKS

2019 ◽  
pp. 1950014
Author(s):  
RONALD RAVINESH Kumar ◽  
SYED JAWAD HUSSAIN SHAHZAD ◽  
PETER JOSEF STAUVERMANN ◽  
NIKEEL Kumar
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Structural Breaks ◽  
Per Capita Income ◽  
Negative Effects ◽  
Capital Share ◽  
Long Run ◽  
Non Linear ◽  
Short Run ◽  
Per Capita

In this study, we examine the asymmetric effects of terrorism and economic growth in Pakistan over the period 1970–2016, while considering the role of capital per worker and structural breaks. We use the non-linear ARDL approach to establish the long-run association and to estimate the short-run and long-run effects accordingly. The results indicate the presence of asymmetries in both long and short run. Moreover, 1% decrease in terrorism results in an increase of per capita income by 0.02% in the long run and 0.001% in the short run. Assuming symmetry, the long run capital share is 0.47. In asymmetric relation, a 1% increase in capital share increases output by 0.55%, whereas a 1% decrease in capital stock decreases output by 0.26%. The break effects show that the years 1993 and 2004 have negative effects on growth. The vector error correction model-based causality results indicate a unidirectional causality from terrorism to per capita income. Overall, the results highlight that terrorism is growth retarding.

Exports, financial development and economic growth in Pakistan

2014 ◽  
Vol 13 (2) ◽  
pp. 155-170 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Mohammad Mafizur Rahman
Keyword(s):  
Economic Growth ◽  
Error Correction ◽  
Financial Development ◽  
Error Correction Model ◽  
Causality Analysis ◽  
Bounds Testing ◽  
Causality Test ◽  
Correction Model ◽  
Content Type ◽  
Long Run

Purpose – This paper aims to explore the relationship between exports, financial development and economic growth in case of Pakistan. Design/methodology/approach – The autoregressive distributed lag bounds testing approach to cointegration and error correction model are applied to test the long-run and short-run relationships, respectively. The direction of causality between the variables is investigated by the vector error correction model Granger causality test and robustness of causality analysis is tested by applying innovative accounting approach. Findings – The analysis confirms cointegration for the long-run relation between exports, economic growth and financial development in case of Pakistan. The results indicate that economic growth and financial development spur exports growth in Pakistan. The causality analysis reveals feedback hypothesis that exists between financial development and economic growth, financial development and exports, and, exports and economic growth. Originality/value – This study provides new insights for policy makers to sustain exports growth by stimulating economic growth and developing financial sector in Pakistan.

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