Internet tradition and tourism development: A causality analysis on BRI listed economies

2019 ◽  
Vol 26 (6) ◽  
pp. 926-957
Author(s):  
Obaid Ur Rehman ◽  
Xiaoxing Liu ◽  
Abdul Rauf ◽  
Mayada Ben Slama ◽  
Waqas Amin
Keyword(s):  
Causality Analysis ◽  
Technological Infrastructure ◽  
Underdeveloped Countries ◽  
Developed Economies ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Tourism Sector ◽  
Short Run ◽  
Information And Communication ◽  
Tourism Revenue

The study aims to explain the economic impact of Internet implication in tourism sector by taking sample of mega project listed countries (which provide big pitch to boost tourism business). Our work find the volatility cause of tourism revenue at country i, by examining the inbound tourist expenditures as a factor of technological infrastructure. We deploy data ranging from 1990 to 2017 and uses error correction model as representative of Autoregressive-Distributed Lag (ARDL) model after addressing diagnostic tests (for data reliability concern). We found long- and short-run association between tourism expenditure and information and communication technology (ICT) proxies in case of developed economies, while only short-run association in underdeveloped countries. The startling scenario about underdeveloped economies are also confirmed by one-way causation in our analysis. After sensitive analysis at each slot, the study concludes that tourism revenue is streaming low across those boundaries where tourists are suffered by paying more due to technological inaccessibility and its underdeveloped infrastructure. The suffered economies are recommended to upgrade their ICT sector to facilitate inbound tourist.

scholarly journals DO INFORMATION AND COMMUNICATION TECHNOLOGIES FOSTER ECONOMIC GROWTH IN INDONESIA?

2019 ◽  
Vol 22 (1) ◽  
pp. 103-122
Author(s):  
Badri Narayan Rath ◽  
Danny Hermawan
Keyword(s):  
Economic Growth ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Annual Data ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Information And Communication ◽  
Ict Development

This paper investigates, using annual data from 1980 to 2014, whether adoption of information and communication technologies (ICT) fosters economic growth in Indonesia. We employ an Autoregressive Distributed Lag cointegration technique on an augmented neoclassical growth model. The empirical results indicate a positive effect of ICT development on economic growth in both the long-run and short-run. The other regressors, such as total factor productivity, human capital, and capital per worker, also positively affect economic growth. From a policy perspective, the Indonesian government should promote ICT development through greater investment.

scholarly journals Tourism and economic growth in Greece: An ARDL bound testing approach in a Kaldorian framework

2020 ◽  
Vol 70 (2) ◽  
pp. 215-227
Author(s):  
Konstantinos Spinthiropoulos ◽  
Christos Nikas ◽  
Eleni Zafeiriou
Keyword(s):  
Economic Growth ◽  
Testing Procedure ◽  
Bounds Testing ◽  
Speed Of Adjustment ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Tourism Sector ◽  
Short Run ◽  
The Relationship

AbstractThe purpose of the study is to examine the relationship between tourism development and economic growth in Greece, using the Autoregressive Distributed Lag (ARDL)-Bounds testing procedure. The present paper attempts to examine the relevance of the tourism led growth hypothesis according to the Kaldorian theory. The analysis was carried out for the period from 1963 to 2016 and involves the short-run as well as the log-run impact. As a proxy for the output of the tourism sector, its receipts are employed, while as an index for economic growth, the GDP is employed. The empirical results show that the economy of Greece can recover and return to the long-run equilibrium with a speed of adjustment 7.17% per year.

scholarly journals Investment Portfolio, Democratic Accountability, Poverty and Income Inequality Nexus in Pakistan: A Way to Social Sustainability

2021 ◽  
Vol 13 (11) ◽  
pp. 6411
Author(s):  
Muhammad Shahid Hassan ◽  
Haider Mahmood ◽  
Muhammad Ibrahim Saeed ◽  
Tarek Tawfik Yousef Alkhateeb ◽  
Noman Arshed ◽  
...  
Keyword(s):  
Income Inequality ◽  
Social Sustainability ◽  
Data Availability ◽  
Democratic Accountability ◽  
Investment Portfolio ◽  
Economic Activities ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short Run

Institutions help to streamline the economic activity-related procedures, where government intervention might be involved. Institutions also play a significant role in social sustainability. The findings using the Autoregressive Distributed Lag approach to cointegration for the period from 1984–2019 reveal that investment portfolio and democratic accountability reduce poverty in Pakistan both in the long and short run. Moreover, democratic accountability helps to reduce income inequality, but the investment portfolio’s role is not significant. The literacy rate helps to reduce income inequality, and inflation increases poverty and income inequality. The remittances increase income inequality, and urbanization increases poverty. To eradicate poverty and income inequality, the governments should be accountable for their actions to the general public while they remain in power. If they do not deliver as per their manifestoes, they will not be reelected in the next election. Moreover, there is a dire need to redefine the role of an investment portfolio to reduce the risk of investment. So, investments would increase economic activities and could reduce poverty and income inequality. This study contributes to the literature by inquiring about the role of the investment portfolio and democratic accountability in social sustainability by reducing poverty and income inequality. This study only considers Pakistan’s economy due to limitations of poverty data availability in other countries. The scope could further be broadened by accessing data for a wider Asia region to test the role of the investment portfolio and democratic accountability to reduce poverty and income inequality.

Impact of Environmental Tax on Comparative Advantage of Food and Food Products: A Study of G20 Countries in Light of Environmentally Sensitive Goods

2021 ◽  
pp. 001946622110352
Author(s):  
Alisha Mahajan ◽  
Kakali Majumdar
Keyword(s):  
Comparative Advantage ◽  
Food Products ◽  
Environmental Taxes ◽  
Environmental Tax ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Environmentally Sensitive ◽  
The Relationship

Many countries are under constant fear that environmental policies might negatively influence the international competitiveness of polluting industries. In this study, we aim to evaluate the relationship and impact of the environmental tax on comparative advantage of trade in food and food products industry, considered to be one of the highly environmentally sensitive industries. This study also investigates, whether this relationship differs among countries covered in G20, with the help of correlation analysis. We select panel autoregressive distributed lag approach for this study as it can analyse long-run as well as short-run association even when the variables are stationary at different orders of integration. Using panel data from G20 countries over the period of 21 years that is from 1994 to 2015, it is concluded that when we allow environmental taxes to interact with the revealed comparative advantage (RCA) of G20 nations, the overall impact of the environmental tax on the RCA is negative in the long period. It is therefore suggested that countries should follow Porter hypothesis to stimulate innovations resulting from strict environmental regulations that affect the environment in least possible manner. JEL Codes: C01, C23, C33, F18, O57, Q5

scholarly journals Dollarization in Sierra Leone: Evidence and Some Policy Options

2020 ◽  
Vol 7 (4) ◽  
pp. 160
Author(s):  
Abu Bakarr TARAWALIE ◽  
Amadu JALLOH
Keyword(s):  
Exchange Rate ◽  
Sierra Leone ◽  
Correction Term ◽  
Financial Deepening ◽  
Policy Makers ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short Run ◽  
Key Policy ◽  
Main Determinants

This study aims to empirically investigate the determinants of dollarization in Sierra. It uses quarterly data from 1992Q1 to 2017Q4 and autoregressive distributed lag Bound Testing technique. Both the long and short run results revealed that inflation, exchange rate depreciation, financial deepening and war dummy were the main determinants of dollarization in Sierra Leone during the study period. The error correction term depicts that 53 percent of any disequilibrium in dollarization will be corrected within a year. A key policy recommendation is that policy makers should implement prudent policies that will ensure broader macroeconomic stability (including price stability and exchange rate stability) as a recipe for de-dollarization in Sierra Leone.

scholarly journals The Determinants of Food Prices in Pakistan

2012 ◽  
Vol 17 (1) ◽  
pp. 101-128 ◽  
Author(s):  
Henna Ahsan ◽  
Zainab Iftikhar ◽  
M. Ali Kemal
Keyword(s):  
Active Role ◽  
Food Prices ◽  
Significant Variable ◽  
Demand And Supply ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model

Controlling prices is one of the biggest tasks that macroeconomic policymakers face. The objective of this study is to analyze the demand- and supply-side factors that affect food prices in Pakistan. We analyze their long-run relationship using an autoregressive distributed lag model for the period 1970–2010. Our results indicate that that the most significant variable affecting food prices in both the long and short run is money supply. We also find that subsidies can help reduce food prices in the long run but that their impact is very small. Increases in world food prices pressurize the domestic market in the absence of imports, which cause domestic food prices to rise. If, however, we import food crops at higher international prices, this can generate imported inflation. The error correction is statistically significant and shows that market forces play an active role in restoring the long-run equilibrium.

scholarly journals Does the Export-Led Growth Hypothesis Hold for Services Exports in Emerging Economies?

2021 ◽  
Vol 14 (27) ◽  
pp. 63-75
Author(s):  
Okpeku Lilian ONOSE ◽  
◽  
Osman Nuri ARAS ◽  
Keyword(s):  
Economic Growth ◽  
Emerging Economies ◽  
Emerging Countries ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Per Capita ◽  
Positive Effect ◽  
Growth Hypothesis

The export-led growth hypothesis states a positive relationship between the growth of exports and long-run economic growth. This study examines the validity of the export-led growth hypothesis of services exports in 5 emerging economies, including Brazil, India, Nigeria, China, and South Africa (BINCS), for the period of 1980-2019. The study employs the panel mean group autoregressive distributed lag (ARDL) procedure to identify a causal relationship between services exports and gross domestic product (GDP) per capita. The findings show that the export-led growth hypothesis in services only has a positive effect on economic growth in the short run while other variables, including foreign direct investment (FDI), gross capital formation, and labour, increase economic growth in the long run. Hence, the emerging countries should focus more on internal investment to boost growth in the long and short run.

scholarly journals FDI location and exchange rates. is there really a relationship between the two?

2015 ◽  
Vol 13 (1) ◽  
pp. 642-651
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
South Africa ◽  
Exchange Rates ◽  
Coming Out ◽  
Causal Relation ◽  
Exact Nature ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run

The exchange rate led foreign direct investment (FDI), FDI led exchange rates and feedback effect hypotheses summarise the literature around the nature of the relationship between FDI and exchange rates. So many authors on this subject over a long period have been found to generally side with of the above-mentioned hypothesis or another without a consensus. Despite this lack of consensus with regard to the exact nature of the causal relation between these two variables, what is coming out clearly from the literature is that there indeed exist a relationship between FDI and exchange rates. The lack of consensus has prompted this current study that used the ARDL (Autoregressive distributed lag)-bounds testing approach. The study revealed the existence of causality from (1) the rand value to FDI in the long run and (2) FDI to the rand value only in the short run in South Africa. The author recommends that policies which strengthen the value of the rand should be put in place in order to attract FDI in the long run. The flow of FDI into South Africa will in turn not only stabilises the value of the rand.

scholarly journals The Causal Connection between CO2 Emissions and Agricultural Productivity in Pakistan: Empirical Evidence from an Autoregressive Distributed Lag Bounds Testing Approach

2019 ◽  
Vol 9 (8) ◽  
pp. 1692 ◽  
Author(s):  
Abdul Rehman ◽  
Ilhan Ozturk ◽  
Deyuan Zhang
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Food Grains ◽  
Long Run ◽  
Total Food ◽  
Short Run ◽  
Seed Distribution

The rapid agricultural development and mechanization of agronomic diligence has led to a significant growth in energy consumption and CO2 emission. Agriculture has a dominant contribution to boosting the economy of any country. In this paper, we demonstrate carbon dioxide emissions’ association with cropped area, energy use, fertilizer offtake, gross domestic product per capita, improved seed distribution, total food grains and water availability in Pakistan for the period of 1987-2017. We employed Augmented Dickey-Fuller and Phillips-Perron unit root tests to examine the variables’ stationarity. An autoregressive distributed lag (ARDL) bounds testing technique to cointegration was applied to demonstrate the causality linkage among study variables from the evidence of long-run and short-run analyses. The long-run evidence reveals that cropped area, energy usage, fertilizer offtake, gross domestic product per capita and water availability have a positive and significant association with carbon dioxide emissions, while the analysis results of improved seed distribution and total food grains have a negative association with carbon dioxide emissions in Pakistan. Overall, the long-run effects are stronger than the short-run dynamics, in terms of the impact of explanatory variables on carbon dioxide emission, thus making the findings heterogeneous. Possible initiatives should be taken by the government of Pakistan to improve the agriculture sector and also introduce new policies to reduce the emissions of carbon dioxide.

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