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.

Do fisheries and aquaculture production have dominant roles within the economic growth of Pakistan? A long-run and short-run investigation

2019 ◽  
Vol 121 (8) ◽  
pp. 1926-1935
Author(s):  
Abdul Rehman ◽  
Zhang Deyuan ◽  
Sehresh Hena ◽  
Abbas Ali Chandio
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Bounds Testing ◽  
Content Type ◽  
Ardl Bounds Testing ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Ardl Bounds Testing Approach

Purpose The purpose of this paper is to investigate and explore the connection between aquaculture and capture fisheries production and economic growth in Pakistan. Fisheries play an important role in Pakistan’s national economy, and Pakistan has sufficient fishery resources to be developed. Most of the population in the coastal areas depends on fisheries for their livelihood. Design/methodology/approach This research was based on time series data of aquaculture and capture fisheries production and the analysis of their relationship with economic growth in Pakistan. The study used an autoregressive distributed lag (ARDL) bounds testing approach to check the dynamic causality between the study variables. Findings The results showed that aquaculture and capture fisheries production have had a positive effect on the economic growth in Pakistan. Practical implications Better infrastructure for the fishing industry, increased government expenditure on facilities and financial support for the fish farmers could contribute to economic growth in the future. Recommendations for improvements in these areas have been made. Originality/value By using an ARDL bounds testing approach, this study contributes to the literature regarding fisheries production and economic growth in Pakistan.

Understanding subnational conflicts in Myanmar

2019 ◽  
Vol 13 (2) ◽  
pp. 339-352 ◽  
Author(s):  
Partha Gangopadhyay ◽  
Siddharth Jain
Keyword(s):  
Arable Land ◽  
Armed Forces ◽  
Annual Data ◽  
Bounds Testing ◽  
Content Type ◽  
Long Run ◽  
Ardl Bounds Testing ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Ardl Bounds Testing Approach

Purpose This paper aims to examine the interrelationships between subnational conflicts in Myanmar and other variables of interests from the following four major domains: economic, human security and vulnerability of people, aggressiveness or militancy of the armed forces and global and regional climates. Design/methodology/approach Autoregressive distributed lag (ARDL) bounds testing approach has been applied on annual data from 1960-2017, to deal with the problems of autocorrelation and non-stationarity of key variables. Findings First, an increase in crop yield, cereal productivity, food productivity and per capita availability of arable land unequivocally and significantly lower the severity of conflict in Myanmar in the long run. Second, the authors uncover strong evidence that the intensity of conflicts bears a positive relationship with the vulnerability of the people of Myanmar. Third, the authors detect that both regional and global climate variables have limited and rather inconsistent impacts on subnational conflicts in Myanmar. Finally, the authors find that the aggressiveness (militancy index) of the armed forces has significant impacts upon subnational conflicts and economic variables of Myanmar in the long run. Originality/value This paper is completely data-driven and explains the long-term dynamics of the intensity of the civil war in Myanmar. ARDL bounds testing approach has been used to examine the interrelationships between subnational conflicts in Myanmar and other variables of interests. It is a novel approach, which overcomes the problems of autocorrelation and nonstationarity and offers reliable results.

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.

The nexus of electricity access, population growth, economic growth in Pakistan and projection through 2040

2019 ◽  
Vol 13 (3) ◽  
pp. 747-763 ◽  
Author(s):  
Abdul Rehman
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Urban Population ◽  
Bounds Testing ◽  
Content Type ◽  
Ardl Bounds Testing ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Electricity Access ◽  
Ardl Bounds Testing Approach

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.

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.

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