Enhancing economic growth and productivity through efficient public infrastructure management

Author(s):  
Kang-soo Kim ◽  
Weh-Sol Moon
Author(s):  
Hiroyuki Usui ◽  
Joan Perez

According to the Japanese government, vacant lots are randomly generated and accumulated (without being rebuilt after demolition) in the process of increasing vacant lots, a phenomenon called urban perforation. Urban perforation in urban areas may trigger a high degree of inefficiency in public infrastructure management. However, this observation lacks theoretical and empirical foundations, a lacuna to which this paper will focus on. Consequently, our research objectives are to confirm: (1) whether or not vacant lots are randomly generated and (2) whether or not vacant lots are randomly accumulated as a result of random generation. The methodology includes a consistent and bottom-up approach to delineate urban areas (alongside statistical spatial analysis). Through theoretical and empirical analyses in Chiba Prefecture (situated in the eastern part of the Tokyo metropolitan region), we find that the random generation of vacant lots does not tend to continue in the same urban areas. Rather, in most urban areas, this process is a temporary phenomenon. Subsequently, phase transition generally shifts from random to clustered generation or vice versa. Nevertheless, once vacant lots are randomly accumulated in an urban area, this process tends to continue. The contributions of this article are not only to provide important spatiotemporal findings regarding the generation and accumulation patterns of vacant lots, but also to discuss how to apply policy for urban perforation where phenomena are significantly pronounced.


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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