scholarly journals The Impact of Infrastructure on Tourism: The Case of Sri Lanka

2019 ◽  
Vol 15 (7) ◽  
pp. 174 ◽  
Author(s):  
A. M. M. Mustafa
Keyword(s):  
Time Series ◽  
Sri Lanka ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
The Impact ◽  
Adf Test

This study examines the impact of infrastructure on tourism development in Sri Lanka with greater emphasis on road network. The time period used in this study are ranging from year 2005 to year 2017. The annual time series data are analyzed by using statistical package, E-Views 10 after the preliminary calculations by using Microsoft Excel. The unit root of the variables is tested by ADF test to test the stationarity of the time series data used in the model of this study. Co-integration is tested with the use of Engle–Granger. The relationship of causality between the variables is found by test of Granger Causality. The results show that infrastructure has significant short run as well long run positive impact on tourism. Two-way causal relationship is found between tourism sector and infrastructure. Further, this study recommends that the government should play its role in improving the infrastructure facilities to increase tourist’s arrival in Sri Lanka.

scholarly journals ANALISIS PENGARUH REMITANSI, INVESTASI ASING LANGSUNG, IMPOR DAN PERTUMBUHAN EKONOMI DI INDONESIA

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Regina Septriani Putri ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Positive Effect

Abstract : This study examined and analysis the effect of remittances, foreigndirect investment, imports, and economic growth in Indonesia in the long run andshort run. This study using Error Correction Model (ECM) method and using theannual time series data from 1989 to 2018. This study found that: (1) remittancehave an insignificant positive effect on economic growth in the long run and shortrun,(2)foreign direct investment have a significant positive impact on economicgrowth in the long run and short run, (3) import have an insignificant positiveimpact on economic growth both in the long run and short run. To increase theeconomic growth in the future, this study suggests the government to decresingimports of consume goods and increasing the inflow of capital goods, rawmaterial goods, remittances and foreign direct investment.Keyword : Remittance, Foreign Direct Investment, Import, Economic Growth andECM

scholarly journals Political Stability and its Impact on Economic Growth of Pakistan (1988-2018): A Time Series Analysis

2020 ◽  
Vol 6 (1) ◽  
pp. 273-282
Author(s):  
Majid Hussain Phul ◽  
Muhammad Saleem Rahpoto ◽  
Ghulam Muhammad Mangnejo
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Political Stability ◽  
Series Data ◽  
Explanatory Variables ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Positive Effect

This research paper empirically investigates the outcome of Political stability on economic growth (EG) of Pakistan for the period of 1988 to 2018. Political stability (PS), gross fixed capital formation (GFCF), total labor force (TLF) and Inflation (INF) are important explanatory variables. Whereas for model selection GDPr is used as the dependent variable. To check the stationary of time series data Augmented Dickey Fuller (ADF) unit root (UR) test has been used,  and whereas to find out the long run relationship among variables, OLS method has been used. The analysis the impact of PS on EG (EG) in the short run, VAR model has been used. The outcomes show that all the variables (PS, GFCF, TLF and INF) have a significantly positive effect on the EG of Pakistan in the long run period. But the effect of PS on GDP is smaller. Further, in this research we are trying to see the short run relationship between GDP and other explanatory variables. The outcomes show that PS does not have such effect on GDP in the short run analysis. While GFCF, TLF and INF have significantly positive effect on GDP of Pakistan in the short run period.

scholarly journals Impact of Macro-Economic Variable on Pakistan Stock Exchange KSE-100 Index

2021 ◽  
Vol 2 (3) ◽  
pp. 17-23
Author(s):  
Muhammad Faisal Hassan ◽  
Hashim Bin Jusoh ◽  
Sajjad Khan ◽  
Fahad Ali Khan ◽  
Muhammad Naseem ◽  
...  
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Time Series Data ◽  
Positive Impact ◽  
Stock Exchange ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Short Run ◽  
The Impact ◽  
Adf Test

The researcher investigates the Impact of inflation, exchange rate and interest rate on Pakistan stock Exchange performance KSE-100 index by using monthly time series data which covers the period of 2013 to 2020. The econometrics techniques which are employed includes ADF test, Ordinary Least squares regression Model, testing for Multi-collinearity, Residual analysis serial correlation, testing for co-integration, Error correction model (ECM), variance decomposition (VAR) and Pair wise granger causality test. The results indicate that there is positive impact of exchange rate on PSX 100 index and the impact of inflation and interest rate is fond negative but inflation have insignificant relationship with PSX 100 index and the other two relationships are found significant. From the ECM result it is found that in short run 20% of the variation in dependent variable is due to inflation, exchange rate and interest rate and 80% variation is unexplained in short run. Form the results of VAR test it is concluded that exchange rate 1.67, inflation 14.25%, and interest rate 3.90% variation cause in PSX 100 index performance due to these three independent variables.

scholarly journals The Impact of Globalization on Human Development Index: A Case of Pakistan

2020 ◽  
Vol 39 (1) ◽  
Author(s):  
Adiqa Kiani ◽  
Noor Mohammad ◽  
Raheem Bux Soomro
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Development Index ◽  
Long Run ◽  
Political Dimensions ◽  
The Impact ◽  
Adf Test

The main objective of the study is to explore the short and long run relationship of globalization and human development index for 34 years during 1980 to 2014. In order to analyze economic, social and political dimensions of globalization separately for Pakistan economy. The time series data compiled from various sources including UNDP annual Human Development Reports, SPDC Social Development report, Pakistan Review 2005-06, World Bank and KOF. A semi-log model was used to explain the relationship, whereas some other models were also used to test the mobility of the variables. The test applied is ADF test and on the basis of ADF test results, the ARDL method of co integration was used to test long run impact of all independent variables on human development index. From the findings, we may conclude that globalization overall and social, political and economic globalization have positive impact on human development index for Pakistan, whereas some control variables like population density effects positively, and greenhouse gas emissions significantly and negatively affect the globalization. It is suggested that in order to improve the globalization, it is mandatory to focus on indirect effects of globalization and make necessary plans to reduce such emissions.

scholarly journals China–Pakistan Economic Corridor, Logistics Developments and Economic Growth in Pakistan

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 35
Author(s):  
Zunaira Khadim ◽  
Irem Batool ◽  
Muhammad Bilal Lodhi
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Real Income ◽  
Series Data ◽  
Data Set ◽  
Long Run ◽  
Short Run ◽  
Factor Inputs ◽  
The Impact

The study aims to analyze the impact of China–Pakistan Economic Corridor (CPEC) logistics-related developments on economic growth in Pakistan. The study defined a Cobb–Douglas type of research framework in which the country’s real income level relates to four factor inputs, e.g., employed labor force, logistics development, financial development, and energy consumption in an economy. The study utilized the time series data set for the period 1972–2018. To estimate the long run relationship and short run adjustment mechanism, the study used Johansen’s method of co-integration and error correction model. Estimated results showed that the country’s logistics developments have a significant positive impact on economic growth in both the long run and the short run. It implies that China–Pakistan collaborative efforts for logistics developments will have a strong positive impact on economic growth in Pakistan.

scholarly journals Elections, Foreign Direct Investment, and Economic Growth in Ghana’s Fourth Republic: 1993 to 2016

2019 ◽  
pp. 1-8
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Long Run ◽  
Negative Effect ◽  
Short Run ◽  
The Impact

Foreign Direct Investment (FDI) has been seen as an important factor influencing economic growth directly and indirectly in both developed and developing countries. This study assesses the impact of FDI on growth in Ghana since the return to constitutional rule in 1993. The study uses time series data from 1993 to 2016. Using the Autoregressive Distributed Lagged model (ARDL), the study finds a positive impact of FDI on growth both in the short-run and long-run. However, there is a lag period of two. The study equally finds that Gross Saving has a positive impact on growth. On the other hand inflation has a negative effect on growth both in the short and long run. The study also discovered that FDI granger causes growth but GDP does not granger cause FDI. Post-election years with incidence of political uncertainty slow down FDI inflow into Ghana. The study recommends the adoption of stringent fiscal and monetary policies to keep inflation low. It also recommends maintaining and improving the liberal market environment to attract investors, policies to encourage saving, and improving on political transitions to avoid uncertainties for investors.

scholarly journals Impact of National Debt on Economic Growth in Tanzania: 1980-2019

2021 ◽  
pp. 85-96
Author(s):  
Lemada Lesamana Lelya ◽  
Deus D. Ngaruko
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Series Data ◽  
National Bureau ◽  
Validity And Reliability ◽  
Long Run ◽  
Domestic Debt ◽  
The Government ◽  
The Impact

This paper is based on the study that examined the impact of external and domestic debt on economic growth of Tanzania over the period 1980-2019. The study’s specific objectives were; to examine trends of external and domestic debts from 1980 to 2019, to determine long run relationship between external debt stock and economic growth in Tanzania from 1980 to 2019, and to examine the long run relationship between domestic debt and economic growth in Tanzania from 1980 to 2019. The study used time series data of Tanzania collected from the Bank of Tanzania (BOT), National Bureau of Statistics (NBS) and the World Bank indicators. The study used Vector error correction model (VECM) for estimation of the time series since all the variables’ data were stationary in first difference I (1), and there was cointegration within the variables. To ensure the validity and reliability of the data; the study carried out normality test, multicollinearity, heteroscedasticity, and unit root tests. The empirical findings reveal that both   external and domestic debt significantly affects the economic growth of Tanzania.  The study recommends that the government should promote moderate levels of domestic borrowing which can be sustained as it promotes economic growth if used in productive and efficient avenues. The study further recommends that policymakers should efficiently allocate and develop constraints that will ensure the external borrowing is utilized on more productive and  development expenditures, so that the finance is a source of increase in net investment in the country.

scholarly journals Trade determinants between Pakistan and United Arab Emirate: A time series analysis

2021 ◽  
Vol 2 (1) ◽  
pp. 25-29
Author(s):  
Muzaffar Ali ◽  
Raheela Khatoon ◽  
Muhammad Munwar Hayat ◽  
Iqbal Javed
Keyword(s):  
Time Series ◽  
United Arab Emirates ◽  
Bilateral Trade ◽  
Time Series Data ◽  
Technological Development ◽  
Series Data ◽  
Factors Affecting ◽  
Long Run ◽  
Short Run ◽  
The Impact

Economic efficiency in production of commodities depends mainly on technological development, geographically location, capital, availability of natural resources, social setup, skilled labours, customs, some economic and financial priorities. Pakistan mostly traded with China, United Arab Emirates, United State of America and Saudi Arabia. The current study is aimed to estimate the impact of different factors affecting the bilateral trade of Pakistan with United Arab Emirates. The study used annual time series data for the period from 1988 to 2019. In this analysis total bilateral trade is used as dependent variable while population, Gross Domestic Product (GDP), inflations and exchange rate of Pakistan and United Arab Emirates (UAE) were used as independent variables. ARDL approach was applied to check the relationship among the variables. The study finds short run and long run significant relationship among the variables. The gaps in business related plans & polices and entrepreneurship deficiency have prevented the country to cope with the technology advancements. Further this gap is also responsible for greater export diversification and putting of Pakistan to accomplish higher value addition. Incompetent and disorganized firms are trying to get tax exemptions and dispensation through lobbying, whereas new emerging efficient and dynamic firms are also not given confidence to take a part in market.

scholarly journals Phillips Curve or Locus Critique: Time Series Evidence from Pakistan

2012 ◽  
Vol 4 (4) ◽  
pp. 190-193 ◽  
Author(s):  
Ihtisham Ul Haq ◽  
Alam Khan . ◽  
Ejaz Ahmed .
Keyword(s):  
Time Series ◽  
Phillips Curve ◽  
Time Series Data ◽  
Positive Association ◽  
Stationary Problem ◽  
Series Data ◽  
Significant Positive Association ◽  
Long Run ◽  
Short Run ◽  
Adf Test

Some economic problems facing by any economy are addressed such that minimum levels of these are acceptable. Inflation and unemployment are among such macroeconomic issues of which certain minimum level of both are accepted by economists. Nature of relationship between unemployment and inflation is important in economic literature. This study was performed to find this nature for a developing country. Time series data on both variables was analyzed for Pakistan from 1974 to 2010. ADF test was applied for detection of non-stationary. Problem of non-stationary was detected when variables were at level, which was eliminated by taking variables at first difference. Johansen co-integration confirmed one cointegration vector, which suggested the presence of long run relation between variables. VECM was used to find short and long run estimates. A short run relation was witnessed when unemployment worked as dependent variable and inflation as explanatory variable. This model was in equilibrium and thirty five percent disequilibria were adjusted annually as ECT value suggested. Inflation had a significant positive association with unemployment in study period. This study supported the Locus critique as opposed to Phillips curve hypothesis. Policy makers should pay special attention to this relationship between inflation and unemployment when they are going to design macroeconomic policies for Pakistan’s economy.

International Real Estate Review

2021 ◽  
Vol 24 (2) ◽  
pp. 293-322
Author(s):  
Yuqing Hu ◽  
◽  
Piyush Tiwari ◽  
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Series Data ◽  
Property Market ◽  
Macroeconomic Factors ◽  
Commercial Property ◽  
Market Sentiment ◽  
Long Run ◽  
Short Run ◽  
The Impact

This paper identifies the impact of macroeconomic determinants of commercial property investment and development markets in Australia. A Hodrick-Prescott (HP) filter is used to filter the cyclical components of commercial property investment and development time series. In order to identify the long-run relationships and short-run dynamics, coupled with causality between these factors and property cycles, the investment and development property cycles are analyed with respect to the movement of nine macroeconomic factors by using time series data from 1987 to 2016. The empirical results suggest that the Australian commercial property market is often in an overdemand situation rather than oversupply, which can be explained by the different patterns of the property cycles on the demand and supply sides. Property investment cycles are shorter and more volatile than development cycles at around 8-10 years and more than 20 years, respectively, since there is a larger elasticity of the macroeconomic factors that underlie the investment market with short-term dynamics, while the development cycle is mainly affected by such factors moderately in the long run. Both the investment and development markets are intensively affected by financing related variables rather than market-sentiment and economic-cycle related variables.

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