Impact of Energy Consumption, GDP & Fiscal Deficit on Public Health Expenditure in India: An ARDL Bounds Testing Approach

2014 ◽  
Author(s):  
Vaibhav Khandelwal
Keyword(s):  
Public Health ◽  
Energy Consumption ◽  
Health Expenditure ◽  
Fiscal Deficit ◽  
Bounds Testing ◽  
Public Health Expenditure ◽  
Ardl Bounds Testing ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Ardl Bounds Testing Approach

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.

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