scholarly journals Inflation Dynamics And Economic Growth In Tanzania: A Multivariate Time Series Model

2012 ◽  
Vol 28 (3) ◽  
pp. 317 ◽  
Author(s):  
Nicholas M. Odhiambo
Keyword(s):  
Economic Growth ◽  
Multivariate Time Series ◽  
Bounds Testing ◽  
Critical Question ◽  
Long Run ◽  
Ardl Bounds Testing ◽  
Short Run ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Ardl Bounds Testing Approach

This study examines the short-run and long-run causal relationship between inflation, investment and economic growth in Tanzania. In the main, the study incorporates investment in a bivariate setting between inflation and economic growth hence, creating a trivariate model. The study attempts to answer one critical question: Does inflation have any significant influence on economic growth and investment in Tanzania? Using the ARDL-bounds testing approach, the study finds a unidirectional causal flow from inflation to economic growth without any feedback response. The study also finds that investment in Tanzania unambiguously causes economic growth. The results apply irrespective of whether the causality is estimated in the long run or in the short run.

scholarly journals Investigating the Influence of International Tourism in Pakistan and Its Linkage to Economic Growth: Evidence From ARDL Approach

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402093252
Author(s):  
Abdul Rehman ◽  
Hengyun Ma ◽  
Muhammad Irfan ◽  
Munir Ahmad ◽  
Ousmane Traore
Keyword(s):  
Economic Growth ◽  
Positive Impact ◽  
International Tourism ◽  
Passenger Transport ◽  
Bounds Testing ◽  
Long Run ◽  
Short Run ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Ardl Bounds Testing Approach

Tourism is a key source of income and employment today, and different parts of the world are heavily dependent on it. The main purpose of this article was to demonstrate the consequences of long-run and short-run relationship on international tourism in Pakistan and its impact on economic growth by applying an autoregressive distributed lag (ARDL) bounds testing approach. Augmented Dickey–Fuller unit root test was employed to check the stationarity of the variables, while an ARDL bounds testing approach was used to measure the long-run and short-run dynamics linkage among the study variables. The results show that international tourism and expenditures for passenger transport items have a positive impact on economic growth. Similarly, long-run dynamics also revealed that international tourism expenditures for travel items and international tourism expenditures, international tourism receipts for passenger transport items and international tourism receipts for travel items also had a positive impact on the economic growth. The present analysis of the long-run suggested better policies should be implemented to attract more international tourists to the country.

scholarly journals International Tourism and Economic Growth in Zimbabwe: An ARDL - Bounds Testing Approach

2021 ◽  
pp. 61-81
Author(s):  
Thabani Nyoni ◽  
Naftaly Mose ◽  
John Thomi
Keyword(s):  
Economic Growth ◽  
International Tourism ◽  
Bounds Testing ◽  
Long Run ◽  
Ardl Bounds Testing ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
The Government ◽  
Ardl Bounds Testing Approach ◽  
Growth Hypothesis

This study investigated the effect of international tourism development on economic growth in Zimbabwe, using time series data spanning over the period 1980 to 2017. The main aim of the study was to examine whether international tourism is a pathway to economic recovery in Zimbabwe. The study adopted the tourism growth model proposed by Balaguer and Cantavella-Jorda [1] and applied the Autoregressive Distributed Lag (ARDL) bounds testing approach and its associated Error Correction Model (ECM). The direction of causality between international tourism and economic growth was examined using the Granger causality test in an error correction framework. The findings of the study show that the Tourism-led Growth Hypothesis (TLGH) is valid both in the short-run and long-run while the Economic-Driven Tourism Growth Hypothesis (EDTGH) is valid in the long-run only. This implies that the resource allocation strategy for the Government of Zimbabwe should prioritize both international tourism and economic expansion. The study, therefore, recommends that the Government of Zimbabwe should allocate resources towards supporting the tourism sector to stimulate economic growth in the country. On the other hand, the study, guided by the validity of the EDTGH in the long run, suggests that the Government of Zimbabwe should also consider allocating resources to other sectors currently driving the economy, for example, the agriculture and manufacturing sectors; as this will stimulate economic expansion in the long run.

Energy consumption and agricultural economic growth in Pakistan: is there a nexus?

2019 ◽  
Vol 13 (3) ◽  
pp. 597-609 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Yuansheng Jiang ◽  
Abdul Rehman
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Agricultural Economic ◽  
Bounds Testing ◽  
Content Type ◽  
Long Run ◽  
Ardl Bounds Testing ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Ardl Bounds Testing Approach

Purpose This study aims to empirically examine the relationship between energy consumption and agricultural economic growth in Pakistan over the period from 1984 to 2016. Design/methodology/approach This study used the autoregressive distributed lag (ARDL) bounds testing approach to cointegration to investigate the long-run and short-run determinants of agricultural economic growth in Pakistan. Findings The results of the ARDL bounds testing approach to cointegration revealed that long-run linkage exists among the study variables. The findings of this paper showed that agricultural economic growth is positively affected by gas consumption and electricity consumption both in the long-run and short run. The long-run and short-run coefficients of gas consumption and electricity consumption were estimated to be 0.906, 0.421, 0.595 and 0.276, respectively. The estimated equation remains stable during the period from 1984 to 2016 as analyzed by the stability tests. Originality/value This study considers the relationship between energy consumption and agricultural economic growth in Pakistan by using an ARDL bounds testing approach to cointegration. The study has three contributions to economic literature:this study used different unit root tests to test stationarity of the variables such as ADF unit root test by Dicky and Fuller and P-P unit root test by Philip and Perron; the ARDL bounds testing approach to cointegration is applied to test the existence of long-run analysis between energy consumption and agricultural economic growth; and to check the robustness, the authors used the Johansen cointegration test to examine the long-run relationship between dependent and independent variables.

By applying an ARDL bounds testing approach and causality test to investigate the electricity consumption and production with economic growth

2019 ◽  
Vol 17 (2) ◽  
pp. 182-199 ◽  
Author(s):  
Abdul Rehman ◽  
Muhammad Irfan ◽  
Sehresh Hena ◽  
Abbas Ali Chandio
Keyword(s):  
Economic Growth ◽  
Electricity Consumption ◽  
Electricity Production ◽  
Bounds Testing ◽  
Causality Test ◽  
Content Type ◽  
Ardl Bounds Testing ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Ardl Bounds Testing Approach

Purpose The purpose of this paper is to explore and investigate the electricity consumption and production and its linkage to economic growth in Pakistan. Design/methodology/approach The authors used an augmented Dickey–Fuller unit root test to check the stationarity of the variables, while an autoregressive distributed lag (ARDL) bounds testing approach and causality test were applied to investigate the variables long-term association with the economic growth. Findings The study results show that electricity consumption in the agriculture, commercial and industrial sector has significant association with economic growth, while electricity consumption in the household and street lights demonstrate a non-significant association with the economic growth. Furthermore, results also exposed that electricity production from coal, hydroelectric, natural gas, nuclear and oil sources have significant association with the economic growth of Pakistan. Originality/value This study made a contribution to the literature regarding electricity consumption and production with economic growth in Pakistan by using an ARDL bounds testing approach and causality test. This study provides a guideline to the government of Pakistan that possible steps are needed to improve the electricity production and supply to fulfill the country demand.

scholarly journals An ARDL Approach to Check the Linkage Between Economic Growth, Electricity Access, Energy Use and Population Growth in Pakistan: Long-run and Short-run Analysis

2018 ◽  
Author(s):  
Abdul Rehman ◽  
Zhang Deyuan
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Urban Population ◽  
Energy Use ◽  
Bounds Testing ◽  
Long Run ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Electricity Access ◽  
Ardl Bounds Testing Approach

The major aim of this study was to investigate and explores the linkage between economic growth, electricity access, energy use and population growth in Pakistan. To check the variables stationarity, Augmented Dickey-Fuller (ADF) and Phillips-Perron unit root test was applied and an Autoregressive Distributed Lag (ARDL) bounds testing approach to co-integration was applied to investigate the dynamic causality link among the study variables. These tests shed light on the long-run connection among the variables; further, the results revealed that electricity access to population, electricity access to urban population, energy usage, population growth, and urban population growth had a significant impact on economic growth, while the electricity access to rural population and rural population growth has a negative impact on the economic growth in Pakistan. According to these findings, study commends that government of Pakistan pay further attention to increase its electricity production from different sources including, hydroelectric, solar, oil and gas and nuclear in order to fulfill the country’s demands. By using ARDL bounds testing approach, this study filled the literature gap regarding economic growth, electricity access, energy use and population growth in Pakistan.

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