scholarly journals Sustainable tourism and economic growth nexus in Kenya: policy implications for post-Covid-19

2020 ◽  
Vol 1 (2) ◽  
pp. 123-138
Author(s):  
Kipkosgei Bitok ◽  
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Sustainable Tourism ◽  
Policy Implications ◽  
Primary Data ◽  
Series Data ◽  
Economic Activities ◽  
Secondary Sources ◽  
Long Run ◽  
Socio Economic Impact

Purpose: The COVID-19 global pandemic has caused an unprecedented socio-economic impact. It has also raised our awareness of the role sustainability needs to play in our economic activities. This study investigated how sustainable tourism has contributed to economic growth in Kenya. Research Methodology: Eviews 10 software was used to analyze the time-series data. Drawing on data from 1995 to 2020, Johansen co-integration, Granger causality, and regression approaches were used. Results: The study found out that tourism employment and GDP are positively connected to economic growth in Kenya. The causality was unidirectional from economic growth to tourism contribution to GDP and employment, with a long-run linkage of the study determinants. Limitations: Since this research used the secondary sources of data, similar studies in the future may concentrate on the primary data sources to investigate the relationship between tourism employment and economic advancement. Contribution: At the new normal in the post-Covid-19 period, the study suggests that legislators and tourism policymakers should focus on the policies aimed at promoting sustainable tourism. Sustainable tourism should be managed following the three pillars of sustainability. Keywords: Development, Domestic, Moderate, Regional, Scenario

Fish Exports and Economic Growth: The Pakistan’s Experience

2019 ◽  
Vol 20 (2) ◽  
pp. 279-296 ◽  
Author(s):  
Syed Tehseen Jawaid ◽  
Mohammad Haris Siddiqui ◽  
Zeeshan Atiq ◽  
Usman Azhar
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Impulse Response Function ◽  
Policy Implications ◽  
Sensitivity Analyses ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

This study attempts to explore first time ever the relationship between fish exports and economic growth of Pakistan by employing annual time series data for the period 1974–2013. Autoregressive distributed lag and Johansen and Juselius cointegration results confirm the existence of a positive long-run relationship among the variables. Further, the error correction model reveals that no immediate or short-run relationship exists between fish exports and economic growth. Different sensitivity analyses indicate that initial results are robust. Rolling window analysis has been applied to identify the yearly behaviour of fish exports, and it remains negative from 1979 to 1982, 1984 to 1988, 1993 to 1999, 2004 and from 2010 to 2013, and it shows positive impact from 1989 to 1992, 2000 to 2003 and from 2005 to 2009. Furthermore, the variance decomposition method and impulse response function suggest the bidirectional causal relationship between fish exports and economic growth. The findings are beneficial for policymakers in the area of export planning. This study also provides some policy implications in the final section.

scholarly journals Non-bank financial institutions and economic growth: Evidence from Africa’s three largest economies

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Ronald Rateiwa ◽  
Meshach J. Aziakpono
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Financial Institutions ◽  
Time Series Data ◽  
Bank Lending ◽  
Series Data ◽  
The Sustainable Development ◽  
Long Run ◽  
The Relationship

Background: In order for the post-2015 world development agenda – termed the sustainable development goals (SDGs) – to succeed, there is a pronounced need to ensure that available resources are used more effectively and additional financing is accessed from the private sector. Given that traditional bank lending has slowed down, the development of non-bank financing has become imperative. To this end, this article intends to empirically test the role of non-bank financial institutions (NBFIs) in stimulating economic growth.Aim: The aim of this article is to empirically test the existence of a long-run equilibrium relationship between economic growth and the development of NBFIs, and the causality thereof.Setting: The empirical assessment uses time-series data from Africa’s three largest economies, namely, Egypt, Nigeria and South Africa, over the period 1971–2013.Methods: This article uses the Johansen cointegration and vector error correction model within a country-specific setting.Results: The results showed that the long-run relationship between NBFI development and economic growth is relatively stronger in Egypt and South Africa, than in Nigeria. Evidence in respect of Nigeria shows that such a relationship is weak. The nature of the relationship between NBFI development and economic growth in Egypt is positive and significant, and predominantly bidirectional. This suggests that a virtuous relationship between NBFIs and economic growth exists in Egypt. In South Africa, the relationship is positive and significant and predominantly runs from NBFI development to economic growth, implying a supply-leading phenomenon. In Nigeria, the results are weak and mixed.Conclusion: The study concludes that in countries with more developed financial systems, the role of NBFIs and their importance to the economic growth process are more pronounced. Thus, there is need for developing policies targeted at developing the NBFI sector, given their potential to contribute to economic growth.

Export-led Growth Hypothesis: Econometric Evidence from Malaysia

2013 ◽  
Vol 14 (2) ◽  
pp. 94-112
Author(s):  
Hassanudin Mohd Thas Thaker ◽  
Tan Siew Ee ◽  
Sushant Vaidik
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Series Data ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Long Run ◽  
Paper Cover ◽  
Econometric Evidence ◽  
Augmented Dickey Fuller ◽  
Growth Hypothesis

The objective of this paper is to test the validity of the Export-led Growth Hypothesis (ELGH) in the Malaysian economy. Malaysia has always been considered to have attained its growth primarily through exports (Okposin, Bassey, Hamid, Halim, and Boon, 1999; Mun, 2008; Mahathir, 1990). In the past, several studies on this topic have been conducted but their analyses were limited to relationships using Bound-testing, Autoregressive –Distributed Lag (ARDL) and the Toda Yamamoto analysis. Empirical data and analysis in our paper cover a 21 – year span and quarterly time-series data (1991:Q1 – 2012:Q4) are used to test this ELG hypothesis. Also, many dynamic econometric measures including the Augmented Dickey Fuller (ADF) and Phillip – Perron (PP) unit root tests, Cointegration test as well as the Vector Error Correction model (VEC) for the long run have been applied. Based on these generic models, both real exports and capital stock (productivity) are found to have stimulated positive adjustments to economic growth in the long run whereas real exchange rate is found to have influenced economic growth negatively. Overall, our conclusion is that the ELG hypothesis seems applicable to Malaysia in the long run.

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.

Relationship between Budget Deficit and Economic Growth: Evidence from Ethiopia

2021 ◽  
Vol 2 (2) ◽  
pp. 10-15
Author(s):  
Desalegn Emana
Keyword(s):  
Economic Growth ◽  
Interest Rates ◽  
Budget Deficit ◽  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Negative Relationship ◽  
Nominal Exchange Rate ◽  
Series Data ◽  
Long Run

This study examined the relationship between budget deficit and economic growth in Ethiopia using time series data for the period 1991 to 2019 by applying the ARDL bounds testing approach. The empirical results indicate that budget deficit and economic growth in Ethiopia have a negative relationship in the long run, and have a weak positive association in the short run. In line with this, in the long run, a one percent increase in the budget deficit causes a 1.43 percent decline in the economic growth of the country. This result is consistent with the neoclassical view which says budget deficits are bad for economic growth during stimulating periods. Moreover, in the long run, the variables trade openness and inflation have a positive impact on Ethiopian economic growth, and on the other hand, the economic growth of Ethiopia is negatively affected by the nominal exchange rate in the long run. Apart from this, in the long run, gross capital formation and lending interest rates have no significant impact on the economic growth of the country. Therefore, the study recommends the government should manage its expenditure and mobilize the resources to generate more revenue to address the negative impact of the budget deficit on economic growth.

Has the low level of economic growth spurred informal sector activities in Uganda? An empirical analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stephen Esaku
Keyword(s):  
Economic Growth ◽  
Informal Sector ◽  
Shadow Economy ◽  
Time Series Data ◽  
Series Data ◽  
Content Type ◽  
Low Level ◽  
Revenue Collection ◽  
Long Run ◽  
Short Run

PurposeIn this paper, the authors examine how economic growth shapes the shadow economy in the long and short run.Design/methodology/approachUsing annual time series data from Uganda, drawn from various data sources, covering the period from 1991 to 2017, the authors apply the ARDL modeling approach to cointegration.FindingsThis paper finds that an increase in economic growth significantly reduces the size of the shadow economy, in both the long and short run, all else equal. However, the long-run relationship between the shadow economy and growth is non-linear. The results suggest that the rise of the shadow economy could partially be attributed to the slow and sluggish rate of economic growth.Practical implicationsThese findings imply that addressing informality requires addressing underlying factors of underdevelopment since improvements in economic growth also translate into a reduction in the size of the shadow economy in the short and long run.Originality/valueThese findings reveal that the low level of economic growth is an issue because it spurs informal sector activities in the short run. However, as the economy improves, it becomes an incentive for individuals to operate in the informal sector. Additionally, tackling shadow activities in the short run could help improve tax revenue collection.

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 Consequences of Capital formation, Trade Liberalization on the Economic Growth: Pakistan’s Experience

2015 ◽  
Vol 2 (1) ◽  
pp. 1-4
Author(s):  
Nadia Bukhari ◽  
Anjum Iqbal
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Trade Openness ◽  
Capital Formation ◽  
Vital Role ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive ◽  
Adf Test

This study considers the long run relationship between the liberalization of trade, capital formation and the economic growth of Pakistan by using the time series data from 1975-2013. The main aim of this study is to examine that how much liberalization of trade and capital formation affects the economic growth of Pakistan in long run. The approach that has been used for empirical analysis is Auto Regressive Distributed Lag (ARDL) model. Under the ADF test capital formation (CF) is stationary at its first level but the trade openness (TO) and GDP is stationary at its first difference. Moreover, the granger casualty test is evident that there become a casual relationship between the trade openness and GDP. The result of this study shows that both the trade openness and the capital formation determined the economic growth in long run and they both have statistically significant effect on the GDP. Furthermore it has has been depicted from the study that the trade has a vital role to influence the economic growth.

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 Financial innovation and economic growth: evidence from Zimbabwe

2016 ◽  
Vol 13 (2) ◽  
pp. 65-75 ◽  
Author(s):  
Alex Bara ◽  
Calvin Mudzingiri
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Time Series Data ◽  
Financial Time Series ◽  
Financial Innovation ◽  
Dark Side ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Causality Tests

The role of financial innovation on economic growth in developing countries has not been actively pursued. Stemming from the finance-growth nexus, literature suggests that financial innovation has a relationship to growth, which could be either positive or negative. Implicitly, financial innovation has a good and a dark side that affects growth. This study establishes the causal relationship between financial innovation and economic growth in Zimbabwe empirically. Using the Autoregressive Distributed Lag (ARDL) bounds tests and Granger causality tests on financial time series data of Zimbabwe for the period 1980-2013, the study finds that financial innovation has a relationship to economic growth that varies depending on the variable used to measure financial innovation. A long-run, growth-driven financial innovationis confirmed, with causality running from economic growth to financial innovation. Bi-directional causality also exists after conditionally netting-off financial development. Policies that enhance economic growth inter-twined with financial innovation are essential, if developing countries, such as Zimbabwe, aim to maximize economic development

Sign in / Sign up

Export Citation Format

Share Document