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

Author(s):  
Abdul Rehman ◽  
Zhang Deyuan

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.

Author(s):  
Abdul Rehman ◽  
Zhang Deyuan

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.


2019 ◽  
Vol 13 (3) ◽  
pp. 747-763 ◽  
Author(s):  
Abdul Rehman

Purpose The purpose of this study was to investigate the relationship between electricity access, population growth and economic growth in Pakistan. Design/methodology/approach Phillips–Perron unit root test was applied to check the stationarity of the variables and an Autoregressive Distributed Lag (ARDL) bounds testing approach to co-integration was used to investigate the causality link between the study variables. Finally, a projection method was applied to check the future trend of the variables. Findings The study results show the long-term connections among the variables; further, the results illustrate that the electricity access to the urban population and the urban population growth has a significant impact on the economic growth, while the electricity access to the rural population and the rural population growth has a negative impact on the economic growth in Pakistan. Research limitations/implications The electricity sector needs further attention from the Government of Pakistan to boost the production from different energy sources, such as oil, gas, solar, nuclear and hydropower to be able to fulfill the country’s growing demand. Originality/value By using the ARDL bounds testing approach to co-integration, this study addressed the literature gap regarding electricity access, population growth and economic growth in Pakistan.


SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402093252
Author(s):  
Abdul Rehman ◽  
Hengyun Ma ◽  
Muhammad Irfan ◽  
Munir Ahmad ◽  
Ousmane Traore

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.


2018 ◽  
Vol 8 (12) ◽  
pp. 2442 ◽  
Author(s):  
Abdul Rehman ◽  
Zhang Deyuan

Electricity is a versatile form of energy that plays a vital role in fulfilling the daily requirements of human life. The primary aim of this study was to investigate and explore the link between economic growth, electricity access, energy use, and population growth in Pakistan for the period 1990–2016. An autoregressive distributed lag (ARDL) bounds testing approach to cointegration was applied to investigate the causality link between the study variables. These tests shed light on the long-run connection among the variables; further, the results revealed that the electricity access to the total population, electricity access to the urban population, energy usage, population growth, and urban population growth had a significant impact on economic growth, while the electricity access to the rural population and rural population growth had a negative impact on the economic growth in Pakistan. According to these findings, this study recommends that the government of Pakistan pay further attention to increasing its electricity production from different sources, including hydroelectric, solar, oil, and gas, and nuclear in order to fulfill the country’s demands.


Author(s):  
Thabani Nyoni ◽  
Naftaly Mose ◽  
John Thomi

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.


2019 ◽  
Vol 13 (3) ◽  
pp. 597-609 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Yuansheng Jiang ◽  
Abdul Rehman

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.


2012 ◽  
Vol 28 (3) ◽  
pp. 317 ◽  
Author(s):  
Nicholas M. Odhiambo

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.


Author(s):  
Abdul Rehman ◽  
Muhammad Irfan ◽  
Sehresh Hena ◽  
Abbas Ali Chandio

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.


Sign in / Sign up

Export Citation Format

Share Document