scholarly journals The Effect of Foreign Direct Investment on Industrial Sector Growth: Evidence from Sri Lanka

2018 ◽  
Vol 4 (2) ◽  
pp. 88 ◽  
Author(s):  
NPG Samantha ◽  
Haiyun Liu
Keyword(s):  
Sri Lanka ◽  
Value Added ◽  
Industrial Sector ◽  
Advanced Technology ◽  
Sri Lankan ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Government

The development of the industrial sector stimulates economic growth and development by reducing poverty and regional disparity, increasing export income, generating quality employment, as well as developing technological capabilities and productive capacities. It has been more than four decades since removing trade-related barriers, and tax incentives liberalized the Sri Lankan economy offered to foreign investors to attract FDI and promote the industrial sector. Hence, the objective of this study is to investigate the relationship between inward FDI and industrial sector performance of Sri Lanka at the aggregate level for the period 1980-2016. We use the Auto Regressive Distributed Lag (ARDL) model to identify the long-run relationship and short-run dynamics of the selected variables. ARDL bounds test verifies the existence of co-integration among the selected variables. The study fails to find a significant relationship between FDI and industrial sector growth of Sri Lanka in the long run as well as in the short run. The attraction of vertically integrated FDI that consists with advanced technology and value-added production is one of the solutions for overcoming the issue of low technology and knowledge of Sri Lankan industrial sector. Sri Lankan FDI strategy associated with industrial sector should consider the pull and push factors related to recipient and source country respectively. To promote the industrial sector via FDI, the government policy should focus on attracting more FDI that could be channeled into those sectors that would contribute to national competitiveness.

scholarly journals Determinants of Insurance Penetration in West African Countries: A Panel Auto Regressive Distributed Lag Approach

2021 ◽  
Vol 14 (8) ◽  
pp. 350
Author(s):  
Odunayo Olarewaju ◽  
Thabiso Msomi
Keyword(s):  
Banking Sector ◽  
West African ◽  
Education Sector ◽  
African Countries ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
Insurance Penetration ◽  
The Government

This study analyses the long- and short-term dynamics of the determinants of insurance penetration for the period 1999Q1 to 2019Q4 in 15 West African countries. The panel auto regressive distributed lag model was used on the quarterly data gathered. A cointegrating and short-run momentous connection was discovered between insurance penetration along with the independent variables, which were education, productivity, dependency, inflation and income. The error correction term’s significance and negative sign demonstrate that all variables are heading towards long-run equilibrium at a moderate speed of 56.4%. This further affirms that education, productivity, dependency, inflation and income determine insurance penetration in West Africa in the long run. In addition, the short-run causality revealed that all the pairs of regressors could jointly cause insurance penetration. The findings of this study recommend that the economy-wide policies by the government and the regulators of insurance markets in these economies should be informed by these significant factors. The restructuring of the education sector to ensure finance-related modules cut across every faculty in the higher education sector is also recommended. Furthermore, Bancassurance is also recommended to boost the easy penetration of the insurance sector using the relationship with the banking sector as a pathway.

scholarly journals Effects of Exchange Rate Volatility On Non-Traditional Exports In Ghana

2017 ◽  
Vol 7 (2017) ◽  
pp. 80-103
Author(s):  
Camara Kwasi Obeng
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Real Effective Exchange Rate ◽  
Distributed Lag ◽  
Long Run ◽  
Effective Exchange ◽  
Short Run ◽  
Auto Regressive ◽  
The Government ◽  
Effective Exchange Rate

The government of Ghana has implemented a number of policies to strengthen the production and export of non-traditional products as a way of diversifying exports in Ghana with very little success. Foremost among these policies is the liberalization of exchange rate. Meanwhile, the exchange rate has been very volatile. The study, therefore, examines the effects of exchange rate volatility on non-traditional exports in Ghana.This study employed Auto-regressive Distributed Lag (ARDL) co-integration estimation technique for the investigation. The results indicate that exchange rate volatility negatively impacts Ghana’s non-traditional exports. Also, the effect is greater in the long- run than it is in the short-run. Other results also show that world income, growth rate of the economy and Treasury bill rate promote non-traditional exports, but real effective exchange rate does not. The value of the paper lies in the discussion of the short-run and long-run effects of exchange rate volatility on non-traditional exports in the Ghanaian context.

Loss of Employment, Lockdown Measures and Government Responses in Malaysia during the Covid-19 Pandemic: A Note

2021 ◽  
Vol 22 (3) ◽  
pp. 1525-1549
Author(s):  
Muzafar Shah Habibullah ◽  
Mohd Yusof Saari ◽  
Sugiharso Safuan ◽  
Badariah Haji Din ◽  
Anuar Shah Bali Mahomed
Keyword(s):  
Job Loss ◽  
Positive Association ◽  
Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
Auto Regressive ◽  
The Government ◽  
The Relationship ◽  
Stimulus Package

In this paper, we use daily administrative data from January 25, 2020 to December 31, 2020 to examine the relationship between job losses and the Malaysian lockdown measures. The Auto Regressive Distributed Lag (ARDL) approach is used to estimate both the long-run and short-run models. The results of the Bounds F-test for cointegration reveal that there is a long-run link between job losses and the Malaysian government lockdown measures (both linear and non-linear). The positive association between job loss and lockdown measures shows that as the lockdown gets tighter, more people will lose their jobs. However, as time passes, especially in conjunction with the government stimulus package programmes, job losses decrease.

scholarly journals Does Trade Liberalization Affect Energy Saving in Nigeria?

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Aliyu Alhaji Jibrilla
Keyword(s):  
Energy Use ◽  
Energy Intensity ◽  
Trade Openness ◽  
Value Added ◽  
Annual Data ◽  
Distributed Lag ◽  
Long Run ◽  
Dynamic Ols ◽  
Short Run ◽  
Auto Regressive

The study empirically examines the role of trade openness and other determinants in explaining the intensity of energy use in Nigeria using annual data from 1981 to 2015. The paper uses an auto-regressive distributed lag (ARDL) model in interpreting both long-run energy intensity as a co integrating relation, and its short-run dynamics. The robustness of ARDL results is verified using Dynamic OLS (DOLS) estimation technique. The results provide evidence of a Cointegration relation between energy intensity and its determinants. The results provide evidence that trade only significantly reduces energy intensity in the short run. Meanwhile, the results also show that income growth and industry value added have significant reducing effects on energy intensity. The results also raise some important policy issues, particularly on the inflows of foreign aid.

The Impact Of Unemployment And Interest Rate On Inflation In Sri Lanka

GIS Business ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. 54-65
Author(s):  
S. Selvanayagam ◽  
A.M. M. Mustafa
Keyword(s):  
Sustainable Development ◽  
Interest Rate ◽  
Sri Lanka ◽  
Government Expenditure ◽  
Annual Data ◽  
Sri Lankan ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Impact

Three major economic indicators such as Inflation, unemployment and interest rate have an important role in an economy in terms of sustainable development. The long-term progress of the Sri Lankan economy is destabilized. The linkage or the impact among these variables is very important for developing country such as Sri Lanka to overcome the destabilized hurdles. The study intends to investigate the impact of unemployment and interest rate on inflation in Sri Lanka. Also, this study was analyzed the short and long run relationship among the variables. Phillip’s relationship between the variables inflation and unemployment also was discussed in details. Fifty-three years of annual data for period of 1953- 2015 of the variables inflation, unemployment, interest rate, money supply (M2) and government expenditure used for the analysis. Parametric and non-parametric approaches have been employed in this study. The Autoregressive Distributed Lag (ARDL) model with co-integration technique has been employed to find the short and long run relationship of the variable. The statistical package EViews 9 and Microsoft excel were used for the analysis. The study reveals that unemployment is negatively impact on inflation in short and long run in Sri Lanka, which is statistically significance. Further, the study revealed that the Phillip’s relationship between inflation and unemployment exist in Sri Lankan economy. The interest rate is also negatively impact on inflation in short run and positively impact in long run. Results are statistically significance at 5% confidence level and theoretically expected. This study recommends that the relationship between the variables should be noted and utilized the Engine of growth concept in order to achieve sustainable development of Sri Lanka. Job opportunities to be extended further more. Further, the study suggests that using quarterly data to analysis this kind of time series will reflect relationship accurate.

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.

Moderating Effects of Logistics Infrastructure Development and Real Sector Productivity: A Case of Pakistan

2019 ◽  
pp. 097215091987930 ◽  
Author(s):  
Noman Arshed ◽  
Muhammad Shahid Hassan ◽  
Muhammad Umair Khan ◽  
Arslan Arif Uppal
Keyword(s):  
Road Transport ◽  
Industrial Sector ◽  
Infrastructure Development ◽  
Moderating Effects ◽  
Sea Transport ◽  
Services Sector ◽  
The Road ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive

A well-oiled logistics sector physically moves the economy towards higher growth. A developed logistics infrastructure facilitates backward and forward linkages in global trade and manages the business cost of accessing markets. Logistics sector facilitates sectorwise growth in a way that it eases goods transmissions mechanisms. This study has assessed four indices of logistics which are road, rail, air and sea transport by forming indices using 13 indicators. Auto regressive distributed lag (ARDL)bound approach-based long-run results show that, for the case of Pakistan, development in the road transport has highest potential in growth productivity of agriculture and services sector, while sea transport performed best in industrial sector.

LPG consumption and economic growth, 1975-2016: evidence from Cameroon

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jean Gaston Tamba
Keyword(s):  
Economic Growth ◽  
Causal Relationship ◽  
Liquefied Petroleum Gas ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Gas Consumption ◽  
The Government ◽  
Energy Efficiency Policies

Purpose This paper aims to examine the causal relationship between liquefied petroleum gas consumption and economic growth in Cameroon over the period from 1975 to 2016. Design/methodology/approach The methodology of this study is based on the unit root, cointegration and causality tests. Cointegration is performed with both Johansen and autoregressive distributed lag bounds approach, while causality is done with the Granger test based on the error correction model (ECM) and Toda-Yamamoto procedure. Findings The cointegration methods confirm the existence of a level relationship, whereas the causal tests of the ECM reveal the existence of a short-run unidirectional causal relationship ranging from liquefied petroleum gas (LPG) consumption to economic growth and a bidirectional causal relationship between long-term and high-causality variables. With the Toda-Yamamoto procedure, unidirectional causality is found to run from economic growth to liquefied petroleum gas consumption. Research limitations/implications These findings imply that an increase in liquefied petroleum gas consumption leads to an increase in economic growth. As a result, supporting energy efficiency policies that aim to reduce liquefied petroleum gas consumption is not an option for Cameroon. Given that LPG consumption shares are still low in Cameroon, the government ought, thus, to increase LPG subsidization, vulgarize and favor policies aimed at encouraging LPG consumption to increase LPG deposits nationwide. This would help increase LPG consumption and consequently could increase economic growth in Cameroon. Originality/value LPG is a fossil fuel and is the less GHG emitter and it is considered as a modern source of energy for cooking in Cameroon households. It scarcity calls on energy policymakers to question the influence LPG consumption could have on economic growth in the short- and long-run. Thus, this paper could contribute to solving the issue of deforestation in Cameroon, especially in the Sahel zone; through the substitution of firewood consumption by LPG consumption in households.

SHORT-RUN AND LONG-RUN IMPACT OF INFLATION, UNEMPLOYMENT, AND ECONOMIC GROWTH TOWARDS POVERTY IN INDONESIA: ARDL APPROACH

2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani
Keyword(s):  
Economic Growth ◽  
Poverty Alleviation ◽  
Macroeconomic Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
The Government ◽  
The Impact

 Poverty alleviation has become a vigorous program in the world in recent decades. In line with the efforts applied by the government in various countries to reduce poverty, some evaluations have been practised. The impacts of macroeconomic variables such as inflation, unemployment, and economic growth have been commonly employed to be assessed for their impact on the poverty. Previous studies in Indonesia yielded mix results regarding the impact of such macroeconomic variables on the poverty. Different methods and time reference issue were the suspected causes. This paper aims to overcome such problem by utilising the Autoregressive Distributed Lag (ARDL) equipped with the latest time of observations. This paper finds in the long-run, inflation, unemployment, and economic growth significantly influence the poverty. In the short-run, only inflation and economic growth are noted affecting poverty significantly. 

The short-run and long-run dynamics among FDI, trade openness and economic growth: using a bootstrap ARDL test for co-integration in selected South Asian countries

2020 ◽  
Vol 9 (2) ◽  
pp. 279-295 ◽  
Author(s):  
Hummera Saleem ◽  
Malik Shahzad Shabbir ◽  
Muhammad Bilal khan
Keyword(s):  
Economic Growth ◽  
Sri Lanka ◽  
Causal Relationship ◽  
South Asian ◽  
Trade Openness ◽  
Asian Countries ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive

PurposeThe purpose of this study is to analyze the dynamic causal relationship between foreign direct investment (FDI), gross domestic product (GDP) and trade openness (TO) on a set of five selected South Asian countries.Design/methodology/approachThis study used newly developed bootstrap auto regressive distributed lags (ARDL) cointegration test to examine the long-run relationship among FDI, GDP and TO for selected South Asian countries for 1975–2016.FindingsThe economic growth (EG) is significantly related to TO for Bangladesh, India and Sri Lanka and the expansion of TO is crucial for growth in these countries. The results show that all countries (except Bangladesh) found the existence of long-run cointegration between FDI, GDP and TO, whereas FDI is a dependent variable. These results concluded that FDI and TO are contributing to EG in these selected countries.Originality/valueThis study is one of the first attempts to investigate the causal relationship and address the short and long dynamic among FDI, GDP and TO regarding five south Asian countries such as Bangladesh, India, Nepal, Pakistan and Sri Lanka.

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