scholarly journals Public Infrastructure and Economic Growth in Pakistan: A Dynamic CGE-Microsimulation Analysis

Author(s):  
Vaqar Ahmed ◽  
Ahsan Abbas ◽  
Saira Ahmed
2019 ◽  
Vol 26 (5) ◽  
pp. 746-763 ◽  
Author(s):  
Federico Inchausti-Sintes

Two processes can be used to summarize the productive-mix of a tourism-led economy: the lack of a significant secondary sector and strong tertiarization. Both developments have had significant consequences for productivity gains that, as shown by empirical research, are key to understanding economic progress. In fact, this productivity has been predominantly concentrated in the industrial sector while services have relied more on factor accumulation. However, this varying economic pattern has permitted long-lasting economic growth in current tourism-led economies. This article develops a theoretical dynamic economic model (a dynamic CGE model) to explain the beginning, development and long-term growth consequences of tourism-led economies.


2016 ◽  
Vol 68 (4) ◽  
pp. 792-815 ◽  
Author(s):  
Antonio Soares Martins Neto ◽  
Gilberto Tadeu Lima

Author(s):  
Abdulai Salia Brima

This article sheds light on the conceptual framework of public infrastructure and its impact on economic growth. It does explain the diverse relationship between the stock of infrastructure and economic growth. The main questions that the article addresses are: What is infrastructure? How has infrastructure been perceived? How it impacts the economy?


2021 ◽  
Vol 2 (2) ◽  
pp. 42-49
Author(s):  
Ather Aldin ◽  
Monjeed Alneil

The purpose of this research is to establish whether or not there is a relationship between investment and consumption levels and economic growth. This study employs quantitative methods, and the data is processed in accordance with the requirements of the model being utilized. Multiple linear regression is the method used in the data processing. The information utilized is secondary information derived from historical documents or reports that have been published or are in the process of being published. The findings revealed that the investment variable had a positive and statistically significant impact on economic growth. Conclusions While the variable level of consumption has a positive and substantial impact on economic development, the level of consumption is not constant. According to the results of the regression, the value of R-Squared (R2) is 0.726. Thus, the independent variable can explain 85.2 percent of the variance in economic growth, with the remaining 0.15 percent explained by factors outside the model, as shown in Figure 1. It is proposed to the government that it raise the proportion of development expenditures, with the expectation that these expenditures would be used toward improving development and public infrastructure in order to promote the smooth operation of economic activities


2019 ◽  
Vol 11 (12) ◽  
pp. 3359 ◽  
Author(s):  
Javid

This study investigates the relationship between infrastructure investment and economic growth at the aggregate and sectoral levels, namely, the industrial, agriculture, and services sectors for Pakistan over the period from 1972 to 2015. In contrast to earlier literature, we make a comparative analysis of the different composition of infrastructure investments, including public versus private investment and infrastructure investment in sub-sectors such as in power, roads, and telecommunication sectors. The long-run relationship is estimated using fully modified ordinary least squares (FMOLS) to address the problem of reverse causality. The main conclusion of this study is that both public and private infrastructure investments have positive but different effects on economic growth. In other words, the marginal productivities of private and public infrastructure investments differ across the different sectors of the economy. In most of the cases, public infrastructure investment has a larger impact on economic growth than private infrastructure investment. Two important policy implications emerge from this study, as follows: (1) The different elasticity estimates can be used by policy makers to quantify the impact of policies targeted at the specific sector and (2) the government should develop an enabled policy environment to attract private investment, with the consideration of structural characteristics of the various sectors. The involvement of the private sector in the provision of infrastructure would help to control the tight budgetary situation.


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