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Category: y |
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Tax-Spend or Spend-Tax Hypotheses: A Case Study of Pakistan using Threshold Cointegration with Asymmetric Adjustment
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this study evaluates the traditional tax-spend or spend-tax hypothesis for Pakistan within asymmetric co-integration framework. the results indicate that there is some evidence of tax-spend view.
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| Year:
2024 |
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Category: w |
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An estimation of macroeconomic energy rebound, intensity, and output effect: An evidence from Pakistan
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This paper examines the macroeconomic energy rebound, intensity and output effects of exogenous energy efficiency improvements for Pakistan. the time series data is used from 1980 to 2018. The CES production function is estimated with non-linear techniques.
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| Year:
2022 |
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Category: w |
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Energy efficiency and energy rebound, intensity, and output effects in transport sector of Pakistan
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this study provides the estimates the impact of energy efficiency improvements on Transport sector`s energy consumption for Pakistan by using constant elasticity of substitution (CES) production function.
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| Year:
2022 |
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Category: y |
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Analysing Energy Efficiency of Rail and Road Transport in Pakistan Through Data Envelopment Analysis
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this is the chapter that investigates the relative energy efficiency of road and rail transport in Pakistan using data envelopment analysis.
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| Year:
2021 |
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Category: w |
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Analyzing Road Transport (Passenger and Freight) Demand in Pakistan with Auto-Regressive Distributed Lag Co-Integration Approach
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This research analyzes the important driving factors of both road passenger and freight transport in Pakistan with ARDL co-integration approach. The results show that fuel price, per-capita income, urbanization and road density significantly impact road passenger transport, while fuel price, industrial production and international trade are important factors or road freight transport.
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| Year:
2021 |
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Category: w |
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A dynamic analysis of rail travel demand in Pakistan
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This study identifies the main determinants of rail passenger transport for Pakistan using time series data from 1980 to 2017. the findings of Johansen co-integration test show that rail fare, GDP, road transport costs, and rail network length are important factors for rail passenger travel in Pakistan.
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| Year:
2021 |
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Category: w |
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Estimating the demand for rail freight transport in Pakistan: A time series analysis
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This paper estimates the rail freight demand for Pakistan using time series data over 1972-2017. The influencing factors of rail freight demand are estimated for Both short-and long-run within Johansen co-integration framework. the findings show that rail freight rate and gross value added are the most significant determinants of rail freight demand for Pakistan.
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| Year:
2020 |
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