Al-Otaibi, S (2021) Assessing the impact of transport investment and railway accessibility on economic productivity. PhD thesis, Loughborough University, UK.
Abstract
Several attempts have been made to empirically investigate the linkage between transport infrastructure investments and economic development. However, they yielded inconsistent results due to a variety of factors such as different analytical approaches utilized, different geographical levels, or different variables included. This research examines the impact of large-scale transport investment and the network expansion of the railway on the economic development represented in Gross Domestic Product (GDP) in the Kingdom of Saudi Arabia (KSA). Spatial and temporal economic data for the 13 regions of the country from 1999 to 2018 are analysed using parametric and non-parametric techniques. The parametric approach includes employing advanced static and dynamic panel data models to quantify the impact of transport investment and improved railway accessibility on regional economic development. The Generalized Method of Moment (GMM) models fit the data satisfactorily and offered better modelling accuracies. The results find that the impact of the monetary value of transport investment, in general, was manifested in the following year. However, the railway accessibility improvement requires two years to deliver its benefits. The breadth of this research's contribution also includes measuring the regional efficiency change over time and determining the drivers of (in)efficiency and their scope of improvement. The study used non-parametric linear programming technique, Data Envelopment Analysis (DEA). Outcomes reveal that transport investment and improved railway accessibility, in general, have significantly improved the regional efficiency. For, example, three regions have become efficient after the new expansion in transport investment rather than just one efficient region. In addition, it has been noticed that the scale efficiency score improved for the regions that experienced railway infrastructure development. Those regions are Riyadh, Makkah, Eastern Province and Hail, which their scale efficiency score was increased by 9%, 8%, 6%, and 2%, respectively. There is also evidence of a spill-over effect in areas that are not directly connected to the new railway network. The investigation extended to include Window DEA analysis which confirmed the dynamic improvement in the average regional efficiency over the study periods. Moreover, the Malmquist Productivity Index (MPI) showed that the technical efficiency change was the main source of regional productivity improvement in the KSA. In addition, it showed that five regions (Riyadh, Makkah, Northern Border, Najran and Qassim) were representing the KSA's best-productive regions after 2016 amongst other regions. However, there is evidence of investment allocation discrepancy among regions which could limit the achievement of development goals in long term. The study's intended contribution is an examination of various advanced static and dynamic panel data techniques, as well as regional efficiency measures, in order to provide a better understanding of the nature of the relationship between transport investment and economic development in the context of the KSA, and to make recommendations for future infrastructure investment decision-making. These relevant findings will assist the Saudi government to develop better strategic decisions for future transport investments and their allocation at regional level.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | accessibility; economic development; railway; government; investment; productivity; programming; Saudi Arabia; gross domestic product; linear programming |
| Index terms: | modelling, data envelopment analysis, investigation, infrastructure investment, linkage, linear programming, productivity, gross domestic product, Saudi Arabia, accessibility, Kingdom of Saudi Arabia, efficiency, evidence, programming, window, decision-making, data model, regional economic, infrastructure development, accuracy, transport infrastructure, economic development |
| Subjects: | decision analysis, infrastructure and transport systems, management, performance management, professional development, data science, data analysis and analytics, data collection methods, business, architectural elements, economic development, algorithms, inclusive design, Geography, infrastructure engineering, analytical methods, economic analysis, evaluation and assessment methods, programming |
| Topics: | Digital Applications, Design Practice, Information Management, Research Practice, Business Strategy, Quality Management, Sustainability, Procurement, Risk Management, Engineering Principles, Geographical Context |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here