Query: transportation infrastructure on economic development

title: THE INFLUENCE OF TRANSPORTATION INFRASTRUCTURE ON ECONOMIC DEVELOPMENT
abstract: This paper implements an improved methodology for estimating the effects of infrastructure spending on aggregate output and shows the results of previous studies to be biased and imprecise. Previous studies have found the elasticity of aggregate output with respect to infrastructure spending to be in the 0.3 to 0.6 range. Literally hundreds of newspaper articles have referenced these specific results in discussing the need for increased spending. Using a transfer function model which accounts for nonstationarity and serial correlation, we find the aggregate output elasticity of net nonmilitary public investment is about 0.03.

title: On the relationship between transportation infrastructure and economic development in China
abstract: This paper aims to explore the impact of transportation infrastructure on economic growth in China at different levels: aggregate and regional. Using a time series approach and panel data for 28 regions (where there are provinces also) over the time 1990 2017, the experimental findings confirms the economic theory of development choices. Although other studies have addressed this problem with the same data, our contribution has been to combine the aggregated results with the regional ones for policy analysis. In addition, we combine a Machine Learning technique capable of verifying causality through a supervised and an econometric approach. The results show that the contribution to the growth of transport investments is different from region to region, but we have highlighted how transport affects economic growth at the aggregate level. However, the lack of infrastructure maintenance eliminates the positive effects of investments over time in the medium term.

title: Causality between transportation infrastructure and economic development in Pakistan: An ARDL analysis
abstract: This paper examines the relationship between transport infrastructure and economic development in Pakistan. An autoregressive distributive lag (ARDL) and vector error correction model (VECM) is applied over the period 1971 2017. The results indicate that there is a long run and causal relationship between transport infrastructure and economic development. Transport infrastructure has long run positive impact on economic development. Furthermore, Granger causality test shows a unidirectional causality in long run running from transport infrastructure to economic development. Interestingly, the impact of air infrastructure on economic development is statistically insignificant in long run and short run. The new results from this research provides a comprehensive picture of determinants of economic development from transport infrastructure in Pakistan and these new findings not only help policy makers but also can help to advance the current literature. Therefore, it is suggested that the government of Pakistan should concentrate more to increase the transport infrastructure for higher economic development.

title: The Impact of Transportation Infrastructure and Whole Region's Urbanization on Economic Development

title: The Impact of Transportation Infrastructure on Nigeria's Economic Development
abstract: The Impact of Transportation Infrastructure on Nigeria's Economic Development by William A. Agbigbe, Sr. MA, Southern Illinois University, 1981 BSBA, University of Missouri,   The United Nations Development Programme (UNDP) described Nigeria's road networks as one of the poorest and deadliest transportation infrastructural systems in the world. Data from the UNDP and the World Bank (WB) show that Nigeria has suffered transportation infrastructure deficits; these data also illustrate Nigeria as one of the lowest indices in economic development in the last decade. This qualitative case study addressed the impact of a lack of investment in transportation infrastructure in the form of road networks on Nigeria's economic development. The purpose of the study was to understand the relationship between the investment in road networks and economic development in Nigeria. The theoretical framework comprised Solow's economic growth theory and Frischmann's transportation infrastructure theory. Data were collected through personal interviews with a purposeful sample of 20 Nigerians including previous and current public and private sector transportation linked individuals directly involved in investment, management, and policy administration. Interview data were compiled and organized using qualitative software for content analysis. Recurring responses were identified and patterns and trends documented from the data. Findings revealed corruption in awarding roads contracts, lack of contracts monitoring, and inefficient governance hindering economic development in Nigeria. This study supports positive social change by informing decision makers that by investing in network of roads, that time to project completion and financial savings may promote economic development, thus improving the standard of living of Nigerians.The United Nations Development Programme (UNDP) described Nigeria's road networks as one of the poorest and deadliest transportation infrastructural systems in the world. Data from the UNDP and the World Bank (WB) show that Nigeria has suffered transportation infrastructure deficits; these data also illustrate Nigeria as one of the lowest indices in economic development in the last decade. This qualitative case study addressed the impact of a lack of investment in transportation infrastructure in the form of road networks on Nigeria's economic development. The purpose of the study was to understand the relationship between the investment in road networks and economic development in Nigeria. The theoretical framework comprised Solow's economic growth theory and Frischmann's transportation infrastructure theory. Data were collected through personal interviews with a purposeful sample of 20 Nigerians including previous and current public and private sector transportation linked individuals directly involved in investment, management, and policy administration. Interview data were compiled and organized using qualitative software for content analysis. Recurring responses were identified and patterns and trends documented from the data. Findings revealed corruption in awarding roads contracts, lack of contracts monitoring, and inefficient governance hindering economic development in Nigeria. This study supports positive social change by informing decision makers that by investing in network of roads, that time to project completion and financial savings may promote economic development, thus improving the standard of living of Nigerians. The Impact of Transportation Infrastructure on Nigeria's Economic Development by William A. Agbigbe, Sr. MA, Southern Illinois University, 1981 BSBA, University of Missouri,  Dedication This doctoral study is dedicated to the loving memory of my parents, Chief Gorden Johnson Agbigbe and Madam Itoro Orru Agbigbe. They both instilled in me the value of hard work and persistence. Their kind words motivated and guided me through the course of this research. Acknowledgments With profound gratitude, I would like to thank God Almighty for giving me the fortitude to stay through the course of this PhD. My very special thanks to my committee chair, Dr. Robert DeYoung, and committee members, Dr. Godwin Igein and Dr. Salvatore Sinatra, for working with me to ensure this study met Walden University's rigorous academic requirements. I am especially grateful to my committee chair, Dr. Robert DeYoung, for his words of encouragement, telephone calls, and countless feedback. Next, I would like to thank my previous chair, Dr. Bharat Thakkar, who could not see me through due to illness, and Dr. Aqueil Ahmad, my previous committee member who left Walden University, for their dedication and advice at the early stage of the journey. Along this journey, there were some who said it could not be done and attempted to discourage me from advancing, and some who supported and offered encouragement. I say thank you. I wish to extend my gratitude to my wife, Vera Agbigbe FNP BC, my little princess, Ivie Agbigbe, and my son, Ovie Agbigbe. I wish to thank them for their support through the course of this long journey and giving me much needed inspiration and encouragement. Thank you all for your support and love.

title: The impact of transportation infrastructure on economic growth: empirical evidence from Pakistan
abstract: The direct and indirect effects of transportation infrastructure have a positive impact on the economic growth and development of a country. Apart from improving accessibility, infrastructure development brings along trade and investment opportunities to the previously unconnected regions. It also provides access to goods, services, and employment opportunities in these regions through the multiplier effect. In this paper, a panel of data is employed using the unit root, cointegration, and Granger Causality (GC) model to test whether causal linkages between economic growth and transportation infrastructure exist at national and provincial level. The findings suggest that in the short run, there is no causality between the two variables at the national level, however, a unidirectional causality from economic development to infrastructure investment exists in the long run. At the provincial level, bidirectional causality in the rich and much developed provinces exists, whereas a unidirectional GC exists from economic growth to transportation infrastructure in the underdeveloped provinces. The outcomes of the model shed light on the fact that infrastructure investment per se is not sufficient to boost the economic activity in the underdeveloped regions of Pakistan. A cointegrated investment package is needed, targeting not only infrastructure but also the social and technological development, which can help these regions to realize the promotion of economic growth in the long run.

title: Multimodal transportation infrastructure investment and regional economic development: A structural equation modeling empirical analysis in China from 1986 to 2011
abstract: It is often hypothesized that transportation infrastructure investment have a positive impact on economic growth and that economic growth also imposes needs for further infrastructure development. This paper proposes a structural equation model (SEM) to comprehensively consider the bi directional relationship between multimodal transportation investment and economic development. To account for the complicated interactions between transportation investment and economic growth, travel demand is added as an endogenous variable in the model system. In addition, the SEM model system is formulated with variables that reflect transportation supply in geographically adjacent areas to investigate spatial spillover effects. Empirical analysis based on a panel dataset at the reginal level in China from 1986 to 2011 is conducted. Results show transportation investment in the current region or other regions have impacts on economic growth, but are obviously different at national level and provincial level. These differences can be associated with phases of economic development, transportation investment policy, transportation infrastructure service level, spillovers from other regions, as well as reform policies carried out by the central government.

title: Chinese Roads in India: The Effect of Transport Infrastructure on Economic Development
abstract: This paper uses a general equilibrium framework as in Eaton and Kortum (2002) to estimate the contribution of transport infrastructure to regional development. I apply the analysis to India, a country with a notoriously weak and congested transportation infrastructure. I first analyze the development effects of a recent Indian highway project that improved connections between the four largest economic centers. I estimate the effect of this new infrastructure on income across districts using satellite data on night lights. The results show aggregate gains from the Indian highway project, but unequal effects across regions. China has followed a different highway construction strategy and has experienced more significant convergence across regions than India. I therefore use the model to gauge the effects of a counterfactual highway network for India that replicates the Chinese strategy of connecting intermediate sized cities. The results suggest that this counterfactual network would have benefited the lagging regions of India. I also construct additional counterfactuals and discuss their effects on economic development.

title: Analysis of the Relationship between Transportation Infrastructure and Regional Economic Development in Yunnan Province
abstract: Yunnan is one of the provinces which play a key role in the construction of the "The Belt and Road" in China, thus, strengthening the level of its economic development will be conducive to the promotion of the construction of the international economic cooperation corridor. Based on the VAR model, this paper empirically analyzes the relationship between transportation infrastructure and economic growth in Yunnan Province from 1992 to 2015, namely roads, railways, and water transport. The results show that the transportation infrastructure and regional economic growth are linked to each other in Yunnan. Also, different types of transport infrastructure have mutual influences. Among them, the highways and waterways dominate. Yunnan should focus on building and improving the construction of transportation infrastructure to promote the coordinated development of regional economy.

title: COP21 Roadmap: Do innovation, financial development, and transportation infrastructure matter for environmental sustainability in China?
abstract: The purpose of the present study is to explain the long run and causal effects of innovation, financial development, and transportation infrastructure on CO2 emissions using the combined cointegration and wavelet coherence approaches over the period from 1971 to 2018, while using economic growth as a control variable in the model. The outcomes of the Bayer Hanck cointegration test show that there is an important cointegration equation among CO2 emissions, innovation, financial development, transportation infrastructure, and real GDP. Moreover, the findings from a wavelet power spectrum reveal that there is a significant vulnerability in innovation, financial development, transportation infrastructure, and CO2 emissions at different time frames and frequencies. Furthermore, the outcomes of wavelet coherence approach reveal that (i) Innovation is observed as a significant predictor of CO2 emissions over the period from 2007 to 2013; (ii) In the long run, there are negative correlations between CO2 emissions and financial development; (iii) Over the periods from 2000 to 2015, and from 1985 to 1989, transportation significantly causes CO2 emissions. Our findings have substantial policy implications that suggest there is a need to strengthen innovation and transportation infrastructure to achieve environmental sustainability targets.