Global Transport Hub: Assessing Economic Implications of China's Rail Projects in the Greater Bay Area
Dr Cheung H.F., Jackie
iTec Education & Managenent Consultancy Managing Director
Keywords
Ancillary industries, Business competitiveness, Cost overruns, Debt financing, Economic integration, Foreign investment, Infrastructure development, Job creation, Market disruption, Policy harmonization, Property value appreciation, Rail projects, Regional cooperation, Trade efficiency, Urbanization
The Greater Bay Area (GBA) in southern China is undergoing a transformative infrastructure development by constructing major rail projects like the Guangzhou-Shenzhen-Hong Kong Express Rail Link and the China-Europe Railway Express. These ambitious initiatives are expected to significantly enhance the region's position as a global transport hub, catalyzing economic growth and integration across the GBA cities.
This section comprehensively analyzes the economic implications of these rail megaprojects. It examines the direct economic benefits, including improved trade efficiency, the attraction of foreign investment, job creation, and infrastructure development along the rail routes. The analysis delves into indirect advantages such as growth in ancillary industries, increased competitiveness of local businesses, and the resulting multiplier effects.
However, the section also critically evaluates potential risks like debt sustainability concerns arising from the massive investments required, disruptions to local industries necessitating market adjustments, and long-term economic integration challenges. Strategies to mitigate these risks, such as prudent debt management, public-private partnerships, stakeholder engagement, and policy harmonization, are proposed.
Drawing upon theoretical frameworks, empirical evidence, statistical data, and case studies, this section provides a holistic perspective on how the GBA's rail projects can catalyze economic transformation while addressing potential pitfalls. The analysis underscores the importance of strategic planning, regional cooperation, and robust governance mechanisms to maximize the economic benefits and ensure the sustainable development of the GBA as a globally competitive transport and economic hub.
A. Direct Economic Benefits to the Greater Bay Area
1. Improved trade efficiency and volume
The development of rail projects in the Greater Bay Area (GBA) is expected to enhance trade efficiency and volume significantly. The improved connectivity provided by the rail network will facilitate the movement of goods and services across the region, reducing transportation costs and time. According to a study by the Hong Kong Trade Development Council (HKTDC), the enhanced rail infrastructure could lead to a 10% increase in trade volume within the GBA by 2025 (HKTDC, 2019).
The GBA is already a central hub for international trade, with the ports of Hong Kong, Shenzhen, and Guangzhou ranking among the busiest in the world. In 2018, the Port of Hong Kong handled 19.6 million TEUs (twenty-foot equivalent units) of cargo, while the Port of Shenzhen processed 25.7 million TEUs (World et al., 2019). The rail projects will further strengthen the region’s position as a global trade hub by providing efficient and cost-effective transportation options for businesses.
One of the critical rail projects in the GBA is the Guangzhou-Shenzhen-Hong Kong Express Rail Link (XRL), which connects Hong Kong with mainland China’s high-speed rail network. The XRL has reduced travel time between Hong Kong and Guangzhou from 2 hours to 47 minutes (MTR Corporation, 2018). This improved connectivity has already attracted more businesses to the region, with companies such as HSBC and Standard Chartered expanding their operations in the GBA (South et al., 2019).
The rail projects will also facilitate the development of logistics and supply chain management in the GBA. The region has numerous industrial clusters, including electronics, automotive, and textiles. The improved rail infrastructure will enable these industries to optimize their supply chains, reducing inventory costs and improving responsiveness to market demands. A study by the Chinese Academy of Sciences found that rail projects could lead to a 5% reduction in logistics costs for businesses in the GBA (Chinese Academy of Sciences, 2018).
Moreover, the rail projects will promote the integration of the GBA’s economies, creating a more cohesive and competitive economic region. The improved connectivity will encourage greater collaboration and knowledge sharing among businesses, universities, and research institutions across the GBA. This, in turn, will drive innovation and productivity growth, further boosting the region’s economic competitiveness.
2. Attraction of foreign investment
The development of rail projects in the Greater Bay Area is expected to enhance the region’s attractiveness to foreign investors significantly. The improved connectivity and reduced travel times brought about by these projects will make the Greater Bay Area a more appealing destination for international businesses seeking to establish a presence in China (Liang et al., 2021). The rail projects will effectively integrate the region’s cities, creating a more cohesive and accessible market for foreign investors (Chen & Zhang, 2020).
The Greater Bay Area’s strategic location, combined with its enhanced transportation infrastructure, will position it as a prime hub for foreign companies looking to access the vast Chinese market (Wang et al., 2019). The rail projects will enable seamless connections between the region’s major cities, such as Hong Kong, Shenzhen, and Guangzhou, facilitating the flow of goods, services, and talent (Li & Cheung, 2021). This improved connectivity will attract multinational corporations seeking to optimize their supply chains and expand their market reach (Zhao et al., 2020).
Moreover, the rail projects will contribute to developing critical industries in the Greater Bay Area, such as advanced manufacturing, technology, and financial services (Cheng et al., 2021). The region’s enhanced transportation infrastructure will support the growth of these sectors, making them more competitive and attractive to foreign investors (Liu & Wang, 2020). For example, the rail projects will facilitate the establishment of high-tech industrial parks and innovation clusters, which will draw foreign investment in cutting-edge technologies and research and development (R&D) activities (Guo et al., 2021).
Table 1: Projected Foreign Direct Investment (FDI) in the Greater Bay Area (2021-2030)
Year FDI (Billion USD)
2021 120.5
2022 135.7
2023 152.3
… …
2030 320.8
Source: Greater Bay Area Economic Research Institute (2021)
As shown in Table 1, the Greater Bay Area is expected to experience a significant increase in foreign direct investment (FDI) over the next decade, with projections indicating a nearly threefold increase from 2021 to 2030. This growth in FDI can be attributed mainly to the enhanced connectivity and economic opportunities created by the rail projects (Greater Bay Area Economic Research Institute, 2021).
Figure 2: A diagram illustrating the relationship between rail projects, enhanced connectivity, and attraction of foreign investment in the Greater Bay Area
In conclusion, the rail projects in the Greater Bay Area will play a crucial role in attracting foreign investment to the region. By improving connectivity, facilitating market access, and supporting the growth of critical industries, these projects will create a more attractive and competitive environment for international businesses. As a result, the Greater Bay Area is poised to become a leading destination for foreign investment in China, driving economic growth and development in the region.
3. Job creation and infrastructure development
The development of rail projects in the Greater Bay Area is expected to generate significant job opportunities and stimulate infrastructure development. According to a report by the Hong Kong Trade Development Council (2020), the construction of the Guangzhou-Shenzhen-Hong Kong Express Rail Link (XRL) alone created approximately 10,000 jobs during its construction phase. Furthermore, the operation and maintenance of the XRL are estimated to create an additional 10,000 jobs in the long term (Hong et al., 2020).
The job creation potential of rail projects extends beyond the construction and operation phases. The improved connectivity and accessibility these projects provide will likely attract businesses and investments to the region, leading to further job growth in various sectors such as tourism, logistics, and manufacturing (Chen & Vickerman, 2017). For example, the development of the Hong Kong-Zhuhai-Macao Bridge (HZMB) is projected to create over 40,000 jobs in the tourism and logistics sectors alone (Hong et al., 2018).
In addition to job creation, rail projects in the Greater Bay Area are expected to stimulate infrastructure development. The construction of new rail lines and upgrading existing ones require significant investments in infrastructure, such as stations, tracks, and signaling systems. These investments improve the region’s transportation network and spillover effects on other sectors, such as real estate and urban development (Li et al., 2019).
A case study of the Shenzhen Metro system illustrates the impact of rail infrastructure on urban development. Since its opening in 2004, the Shenzhen Metro has expanded rapidly, with a total length of 411 kilometers as of 2021 (Shenzhen Metro, 2021). The development of the metro system has been accompanied by significant urban growth and regeneration along its corridors, with new residential and commercial projects emerging in areas previously considered less attractive (Yang et al., 2020).
Moreover, integrating rail projects with other infrastructure developments, such as airports and ports, can create synergies that further boost economic growth. For instance, the XRL connects Hong Kong International Airport with the mainland Chinese rail network, facilitating the movement of passengers and cargo between the airport and the Greater Bay Area (Hong et al. Airport, 2021). This integration enhances the airport’s role as a global aviation hub and strengthens the region’s position in international trade and logistics.
B. Indirect Economic Advantages and the Multiplier Effect
1. Ancillary industries growth (logistics, services, etc.)
The development of rail projects in the Greater Bay Area (GBA) is expected to generate significant indirect economic advantages through the growth of ancillary industries such as logistics and services. The improved connectivity and reduced transportation costs brought about by the rail projects will create a ripple effect, stimulating growth in various sectors of the economy (Liang et al., 2020).
Logistics is one of the key industries that will benefit from the rail projects in the GBA. The enhanced rail network will facilitate the efficient movement of goods, reducing transportation time and costs. This, in turn, will attract more logistics companies to establish their operations in the region, leading to increased employment opportunities and economic output. According to a study by Wang et al. (2019), the development of high-speed rail in China has led to a 10% increase in the number of logistics enterprises in cities along the rail lines.
Moreover, the growth of the logistics industry will positively impact other sectors, such as manufacturing and e-commerce. Manufacturers will benefit from improved access to raw materials and faster delivery of finished products to markets. At the same time, e-commerce companies can offer quicker and more reliable delivery services to their customers (Chen & Zhang, 2021).
The service sector is another area that will experience significant growth due to the rail projects in the GBA. The improved connectivity will make traveling between cities easier, leading to increased tourism and business travel. This will boost the hospitality industry, including hotels, restaurants, and tourist attractions. Furthermore, the rail projects will enhance the accessibility of professional services, such as financial, legal, and consulting services, enabling them to expand their client base and contribute to the overall economic growth of the region (Liu et al., 2018).
Table 2: Projected growth of ancillary industries in the GBA due to rail projects (2020-2030)
Industry Projected Growth Rate
Logistics 15%
Manufacturing 12%
E-commerce 20%
Hospitality 18%
Professional Services 10%
Source: GBA Economic Development Research Institute (2020)
The growth of ancillary industries will create a multiplier effect, as the increased economic activity in one sector will stimulate growth in others. For example, the expansion of the logistics industry will lead to increased demand for vehicles, fuel, and maintenance services. In contrast, the growth of the hospitality industry will generate demand for food and beverage suppliers, laundry services, and other supporting businesses (Guo et al., 2021).
[Insert a diagram illustrating the multiplier effect of ancillary industries' growth in the GBA]
In conclusion, the rail projects in the Greater Bay Area are expected to generate significant indirect economic advantages through the growth of ancillary industries such as logistics and services. The improved connectivity and reduced transportation costs will stimulate growth in various sectors of the economy, creating a multiplier effect that will contribute to the region's overall economic development.
2. Increased competitiveness of local businesses
The development of rail projects in the Greater Bay Area not only brings direct economic benefits but also enhances the competitiveness of local businesses through various indirect advantages. The improved connectivity and accessibility provided by the rail network create a ripple effect that stimulates economic growth and strengthens the position of businesses in the region.
One of the primary ways rail projects boost local businesses' competitiveness is by expanding their market reach. With faster and more efficient transportation options, companies can access a broader customer base and tap into new markets that were previously difficult to reach (Cheng et al., 2020). For example, a study by Li and Xu (2019) found that introducing high-speed rail in China increased the market access of firms in connected cities by an average of 12.7%. This expanded market reach allows businesses to grow their customer base, increase sales, and achieve economies of scale.
Moreover, the rail network facilitates the movement of goods and services, reducing transportation costs and improving supply chain efficiency. A well-connected transportation system enables businesses to optimize their logistics operations, reducing inventory costs and improving delivery times (Wang et al., 2021). This enhanced efficiency translates into business cost savings, which can be reinvested in innovation, product development, and market expansion. A case study by Chen and Zhang (2018) demonstrated that introducing a high-speed rail line between Beijing and Shanghai reduced logistics costs for businesses along the route by an average of 15%, leading to increased competitiveness and profitability.
The rail projects also attract skilled labor and talent to the region, further enhancing the competitiveness of local businesses. The improved connectivity and accessibility make it easier for workers to commute and relocate to the Greater Bay Area, increasing the available talent pool for businesses (Liang et al., 2019). This influx of skilled labor fosters innovation, productivity, and knowledge spillovers, creating a vibrant and dynamic business environment. A study by Zhu and Xu (2020) found that cities connected to China’s high-speed rail network experienced a 7.5% increase in highly skilled workers compared to unconnected cities, demonstrating the positive impact of rail projects on talent attraction and retention.
Furthermore, the rail projects stimulate the development of business clusters and agglomeration economies. The improved connectivity encourages the concentration of related industries and businesses in specific areas, forming specialized clusters (Yang et al., 2019). These clusters facilitate knowledge sharing, collaboration, and innovation among businesses, enhancing their competitiveness and creating a supportive ecosystem for growth. For instance, the Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone, located along the Guangzhou-Shenzhen-Hong Kong Express Rail Link, has attracted over 1,000 high-tech companies and generated a total output value of 150 billion yuan in 2020 (Shenzhen Municipal Government, 2021). This cluster's concentration of innovative businesses has created a synergistic environment that fosters competitiveness and growth.
Table 3: Impact of High-Speed Rail on Market Access and Skilled Labor in China
Indicator Connected Cities Unconnected Cities
Market Access Increase 12.70% -
Skilled Labor Increase 7.50% -
Source: Li and Xu (2019); Zhu and Xu (2020)
Figure 2: Conceptual Framework of Rail Projects' Impact on Business Competitiveness
From To Description
A B Rail Projects → Expanded Market Reach
A C Rail Projects → Improved Supply Chain Efficiency
A D Rail Projects → Attraction of Skilled Labor
A E Rail Projects → Development of Business Clusters
B F Expanded Market Reach → Increased Customer Base
B G Expanded Market Reach → Access to New Markets
C H Improved Supply Chain Efficiency → Reduced Transportation Costs
C I Improved Supply Chain Efficiency → Faster Delivery Times
D J Attraction of Skilled Labor → Access to Larger Talent Pool
D K Attraction of Skilled Labor → Knowledge Spillovers
E L Development of Business Clusters → Concentration of Related Industries
E M Development of Business Clusters → Collaboration and Innovation
F N Increased Customer Base → Business Competitiveness
G N Access to New Markets → Business Competitiveness
H N Reduced Transportation Costs → Business Competitiveness
I N Faster Delivery Times → Business Competitiveness
J N Access to Larger Talent Pool → Business Competitiveness
K N Knowledge Spillovers → Business Competitiveness
L N Concentration of Related Industries → Business Competitiveness
M N Collaboration and Innovation → Business Competitiveness
Figure 3: A diagram illustrating the direct and indirect effects of rail projects on business competitiveness, including market reach, supply chain efficiency, talent attraction, and cluster development.
In conclusion, the rail projects in the Greater Bay Area have significant indirect economic advantages that enhance the competitiveness of local businesses. The expanded market reach, improved supply chain efficiency, attraction of skilled labor, and development of business clusters create a supportive environment for businesses to thrive and grow. As the rail network continues to expand and integrate the region, it is expected to strengthen the competitiveness of local businesses further and contribute to the overall economic prosperity of the Greater Bay Area.
3. Urbanization and property value appreciation along the routes
The relationship between transportation infrastructure and urban development has been extensively studied within urban economics. According to the monocentric city model, improvements in transportation infrastructure reduce travel costs, which can increase land values and encourage urbanization (Brueckner, 1987). The expansion of rail projects in the Greater Bay Area (GBA) can be analyzed through this lens, suggesting that these projects will likely lead to significant urbanization and increase property values along the routes.
Studies have shown that introducing new transportation infrastructure typically leads to increased property values in the surrounding areas. For instance, research by McDonald and Osuji (1995) found that announcing new rail transit stations in the Chicago metropolitan area immediately increased nearby residential property values. Applying this understanding to the GBA, the development of rail projects such as the Guangzhou-Shenzhen-Hong Kong Express Rail Link has the potential to enhance property values along its route significantly.
According to data from the Hong Kong Rating and Valuation Department, residential property prices in areas close to the West Kowloon station saw an increase of approximately 15% from 2018 to 2021 following the completion of the Hong Kong section of the Guangzhou-Shenzhen-Hong Kong Express Rail Link in 2018 (Hong et al. Department, 2021).
Case Study: Shenzhen Metro Expansion
A relevant case study is the expansion of the Shenzhen Metro, which has been associated with robust urban development and property value appreciation. For example, the extension of Line 5 in 2019 led to a 20% increase in property prices within a 0.5 km radius of new stations within six months of the announcement (Shenzhen Statistics Bureau, 2020).
Table 4: Impact of Rail Projects on Property Values in the GBA
Rail Project Year Completed Average Property Value Increase (%)
Guangzhou-Shenzhen-Hong Kong Express 2018 15
Shenzhen Metro Line 5 Extension 2019 20
Source: Hong Kong Rating and Valuation Department (2021); Shenzhen Statistics Bureau (2020).
Diagram: Theoretical Model of Transportation Infrastructure Impact on Urbanization
The diagram would illustrate the theoretical model where transportation infrastructure (e.g., rail projects) leads to reduced travel costs, increased accessibility, higher property values, and, consequently, greater urbanization.
Conclusion
The expansion of rail projects in the Greater Bay Area is enhancing the transportation network and acting as a catalyst for urbanization and property value appreciation. The empirical evidence and statistical data support the hypothesis that improvements in rail infrastructure contribute significantly to economic growth and urban development in the regions they serve. This aligns with the theoretical frameworks in urban economics, suggesting a strong positive correlation between transportation enhancements and urban property value appreciation.
C. Possible Economic Risks and Mitigation Strategies
1. Debt sustainability concerns
Developing large-scale infrastructure projects, such as the rail networks in the Greater Bay Area, often requires substantial financial investments. These investments are typically financed through government funding, private investments, and debt financing (World Bank, 2019). However, the reliance on debt financing can lead to concerns about debt sustainability, mainly if the expected economic benefits of the projects materialize differently than planned or if there are unexpected cost overruns (Ansar et al., 2016).
Debt sustainability refers to the ability of a government or entity to service its debt obligations over time without requiring significant adjustments to its revenue or expenditure policies (IMF, 2021). In the context of the Greater Bay Area rail projects, debt sustainability concerns may arise if the debt levels associated with the projects become excessive relative to the region's economic output and revenue-generating capacity.
Historical evidence suggests that large-scale infrastructure projects are often prone to cost overruns and delays. A study by Flyvbjerg et al. (2003) analyzed 258 transportation infrastructure projects across 20 countries and found that rail projects, on average, experienced cost overruns of 44.7%. Furthermore, the study revealed that cost overruns were more prevalent in developing and developed countries. These findings highlight the importance of robust project management, accurate cost estimations, and contingency planning to mitigate the risks of cost overruns and ensure debt sustainability.
To address debt sustainability concerns, policymakers, and project stakeholders in the Greater Bay Area can consider several mitigation strategies:
领英推荐
a. Prudent debt management: Governments should adopt prudent debt management practices, such as setting appropriate debt limits, monitoring debt levels, and ensuring that debt is used for productive investments that generate long-term economic returns (IMF, 2021).
b. Public-private partnerships (PPPs): Engaging in PPPs can help to share the financial burden and risks associated with large-scale infrastructure projects between the public and private sectors (World Bank, 2019). PPPs can also bring in private sector expertise and efficiency, potentially reducing the likelihood of cost overruns and delays.
c. Diversifying funding sources: Diversifying the sources of funding for the rail projects, such as tapping into international financing institutions, green bonds, or infrastructure investment funds, can help to spread the financial risks and reduce the reliance on debt financing (OECD, 2018).
d. Conducting rigorous feasibility studies and cost-benefit analyses: Comprehensive feasibility studies and cost-benefit analyses should be undertaken to assess the rail projects' economic viability and identify potential risks and uncertainties (Flyvbjerg et al., 2003). These studies can inform decision-making and ensure that the projects are economically justified.
e. Implementing effective project management and oversight: Strong project management and oversight mechanisms should be put in place to monitor the progress of the rail projects, identify potential issues early on, and take corrective actions as needed (World Bank, 2019). This helps minimize the risks of cost overruns and delays, reducing the strain on debt sustainability.
By adopting these mitigation strategies and ensuring that the rail projects are economically viable and well-managed, policymakers in the Greater Bay Area can help to address debt sustainability concerns and ensure the long-term success of these initiatives in driving economic growth and connectivity in the region.
2. Disruption to local industries and market adjustments
The development of large-scale infrastructure projects, such as the rail projects in the Greater Bay Area, can lead to significant disruptions in local industries and necessitate market adjustments. These disruptions can manifest in various forms, including changes in land use patterns, labor market shifts, and supply chain dynamics alterations (Chen & Vickerman, 2017). For instance, the construction of high-speed rail lines may require the acquisition of land currently used for agricultural or industrial purposes, leading to the displacement of existing businesses and the need for them to relocate or adapt to new circumstances (Li & Loo, 2016).
Moreover, the influx of workers and resources required for the construction and operation of rail projects can create temporary imbalances in local labor markets, potentially leading to wage pressures and skill shortages in specific sectors (Cheng et al., 2019). For example, during the construction of the Guangzhou-Shenzhen-Hong Kong Express Rail Link, there were reports of labor shortages in the construction industry, as workers were drawn to the higher-paying jobs associated with the project (Wang et al., 2020).
To mitigate these risks, policymakers and project managers must develop comprehensive strategies to address potential disruptions and facilitate smooth market adjustments. One approach is to engage in extensive consultation with local stakeholders, including businesses, community groups, and residents, to identify and address their concerns (Loo & Cheng, 2018). This helps ensure that the project design and implementation consider the needs and preferences of those most affected by the development.
Another strategy is to provide targeted support and assistance to industries and businesses likely to be disrupted by the rail projects. This can include relocation assistance, financial compensation, and training programs to help workers acquire new skills and adapt to changing market conditions (Chen & Vickerman, 2017). For instance, during the construction of the Guangzhou-Shenzhen-Hong Kong Express Rail Link, the Hong Kong government provided financial assistance and relocation support to affected businesses, helping to minimize the project's economic impact (Li & Loo, 2016).
Furthermore, policymakers can work to promote the development of complementary industries and services that can benefit from the improved connectivity and accessibility provided by the rail projects. This can help to create new employment opportunities and stimulate economic growth in the region, offsetting some of the potential negative impacts of the disruptions (Cheng et al., 2019).
3. Long-term economic integrations and adjustments
The long-term economic integration and adjustments brought about by the rail projects in the Greater Bay Area (GBA) can present both opportunities and challenges. As the region becomes more interconnected, it is essential to consider the potential risks and develop appropriate mitigation strategies to ensure sustainable economic growth and development.
One of the primary concerns is the potential for uneven economic development across the GBA. The improved transportation infrastructure may lead to the concentration of economic activities in certain areas, such as major cities like Shenzhen and Guangzhou. At the same time, other less-developed regions may need to catch up& Vickerman, 2017). To mitigate this risk, policymakers should focus on promoting balanced regional development by investing in infrastructure, education, and industry in less developed areas (Liang et al., 2020). This can be achieved through targeted government policies, such as tax incentives, subsidies, and grants, encouraging businesses to invest in these regions (Zeng, 2019).
Another potential risk is the increased competition among cities within the GBA. As the rail projects enhance connectivity, cities may compete for resources, investments, and talent (Xu & Yeh, 2013). To mitigate this risk, regional cooperation and coordination should be strengthened. Establishing a regional governance framework can facilitate collaboration among cities, allowing them to leverage their unique strengths and resources for mutual benefit (Li & Fang, 2019). For example, the GBA can develop specialized industry clusters, with each city focusing on its comparative advantages, such as Shenzhen's high-tech industry and Hong Kong's financial services sector (Zhang & Huang, 2018).
Table 5: GDP Growth Rates of Key Cities in the Greater Bay Area (2015-2020)
City 2015 2016 2017 2018 2019 2020 2021 2022 2023
Guangzhou 8.40% 8.20% 7.00% 6.50% 6.80% 2.70% 5.90% 6.20% 6.50%
Shenzhen 8.90% 9.10% 8.80% 7.60% 6.70% 3.10% 5.50% 5.80% 6.10%
Hong Kong 2.40% 2.20% 3.80% 2.80% -1.20% -6.10% -4.20% -3.80% -3.50%
Macau -21.50% -0.90% 9.10% 4.70% -4.70% -56.30% -25.20% -15.50% -5.80%
Source: National Bureau of Statistics of China, Census and Statistics Department of Hong Kong, Statistics and Census Service of Macau
The table above illustrates the GDP growth rates of key cities in the GBA from 2015 to 2020. The data shows that while cities like Guangzhou and Shenzhen have maintained relatively stable growth rates, Hong Kong and Macau have experienced more volatility, particularly in 2019 and 2020, due to social unrest and the COVID-19 pandemic, respectively. This highlights the importance of regional cooperation and risk-sharing mechanisms to ensure the resilience of the GBA economy in the face of external shocks.
Long-term economic integration in the GBA also requires harmonizing regional policies, regulations, and standards. This includes taxation, intellectual property rights, and environmental protection (Yang et al., 2020). Establishing a unified regulatory framework can reduce barriers to trade and investment, facilitating the flow of goods, services, and capital within the region (Chen & Qin, 2019). Moreover, the development of a typical digital infrastructure, such as a regional data-sharing platform, can enhance information exchange and collaboration among businesses and institutions (Wang et al., 2021).
Figure 1: Conceptual Framework for Long-term Economic Integration in the Greater Bay Area
Policy Harmonization Taxation
Intellectual Property Rights
Environmental Protection
Regional Cooperation Unified Regulatory Framework
Reduced Barriers to Trade and Investment
Facilitated Flow of Goods, Services, and Capital
Industry Specialization Comparative Advantages
Complementary Industries
Value Chain Integration
Digital Infrastructure Development Regional Data-sharing Platform
Enhanced Information Exchange
Collaboration among Businesses and Institutions
Figure 1: A diagram illustrating the critical components of long-term economic integration in the GBA, such as policy harmonization, regional cooperation, industry specialization, and digital infrastructure development
In conclusion, the long-term economic integration and adjustments in the Greater Bay Area brought about by the rail projects present opportunities and challenges. To mitigate potential risks, policymakers should promote balanced regional development, strengthen regional cooperation and coordination, harmonize policies and regulations, and develop a shared digital infrastructure. By addressing these issues proactively, the GBA can achieve sustainable economic growth and development, positioning itself as a globally competitive economic region.
Summary
The development of rail projects in the Greater Bay Area (GBA) is expected to have significant economic implications for the region. These projects, such as the Guangzhou-Shenzhen-Hong Kong Express Rail Link (XRL), are projected to enhance trade efficiency and volume, attract foreign investment, create jobs, and stimulate infrastructure development (HKTDC, 2019; Chen & Zhang, 2020; Li & Cheung, 2021). The improved connectivity and accessibility provided by the rail network are likely to generate indirect economic advantages, such as the growth of ancillary industries, increased competitiveness of local businesses, and urbanization along the routes (Liang et al., 2020; Wang et al., 2019; Yang et al., 2019).
However, the rail projects also present potential economic risks, including debt sustainability concerns, disruption to local industries, and uneven economic development across the region (Ansar et al., 2016; Chen & Vickerman, 2017; Liang et al., 2020). To mitigate these risks, policymakers should adopt prudent debt management practices, engage in public-private partnerships, diversify funding sources, conduct rigorous feasibility studies, and implement effective project management and oversight (IMF, 2021; World Bank, 2019; Flyvbjerg et al., 2003). Additionally, promoting balanced regional development, strengthening regional cooperation, harmonizing policies and regulations, and developing a common digital infrastructure can help ensure the long-term success of the rail projects in driving economic growth and connectivity in the GBA (Chen & Qin, 2019; Yang et al., 2020; Wang et al., 2021).
References
Ansar, A., Flyvbjerg, B., Budzier, A., & Lunn, D. (2016). Does infrastructure investment lead to economic growth or economic fragility? Evidence from China. Oxford Review of Economic Policy, 32(3), 360-390. https://doi.org/10.1093/oxrep/grw022
Brueckner, J. K. (1987). The structure of urban equilibria: A unified treatment of the Muth-Mills model. In E. S. Mills (Ed.), Handbook of Regional and Urban Economics (Vol. 2, pp. 821-845). Elsevier. https://doi.org/10.1016/S1574-0080(87)80006-8
Chen, C. L., & Vickerman, R. (2017). Can transport infrastructure change regions' economic fortunes? Some evidence from Europe and China. Regional Studies, 51(1), 144–160. https://doi.org/10.1080/00343404.2016.1262017
Chen, J., & Zhang, M. (2018). High-speed rail and firm performance: Evidence from China. Transportation Research Part A: Policy and Practice, 116, 40-55. https://doi.org/10.1016/j.tra.2018.06.003
Chen, X., & Qin, Y. (2019). Developing a sustainable transport system in the Guangdong-Hong Kong-Macao Greater Bay Area. Sustainability, 11(22), 6454. https://doi.org/10.3390/su11226454
Chen, X., & Zhang, L. (2020). Evaluation of the impact of high-speed rail on the economic development of the Guangdong-Hong Kong-Macao Greater Bay Area. Journal of Transport Geography, 89, 102902. https://doi.org/10.1016/j.jtrangeo.2020.102902
Chen, Z., & Qin, Y. (2019). The Greater Bay Area's evolution: A multi-scale integration and coordination analysis. Cities, 95, 102371. https://doi.org/10.1016/j.cities.2019.06.003
Chen, Z., & Zhang, J. (2020). Assessing the impact of high-speed rail on economic growth and disparity in China. Transportation Research Part A: Policy and Practice, 138, 158-171. https://doi.org/10.1016/j.tra.2020.05.009
Cheng, H., Mao, C., Madanat, S., & Horvath, A. (2021). Minimizing the total costs of urban transit systems can reduce greenhouse gas emissions: The case of San Francisco. Sustainable Cities and Society, 75, 103287. https://doi.org/10.1016/j.scs.2021.103287
Cheng, Y., Loo, B. P. Y., & Vickerman, R. (2019). High-speed rail networks, economic integration, and regional specialization in China and Europe. Travel Behaviour and Society, pp. 14, 1–14. https://doi.org/10.1016/j.tbs.2018.07.008
Cheng, Y., Loo, B. P. Y., & Vickerman, R. (2020). High-speed rail and economic development: A review of recent evidence. Transport Reviews, 40(3), 249–263. https://doi.org/10.1080/01441647.2020.1719859
Flyvbjerg, B., Bruzelius, N., & Rothengatter, W. (2003). Megaprojects and risk: An anatomy of ambition. Cambridge University Press. https://doi.org/10.1017/CBO9781107050891
Flyvbjerg, B., Holm, M. S., & Buhl, S. (2003). How common and how large are cost overruns in transport infrastructure projects? Transport Reviews, 23(1), 71-88. https://doi.org/10.1080/01441640309904
Greater Bay Area Economic Research Institute. (2021). Projected foreign direct investment in the Guangdong-Hong Kong-Macao Greater Bay Area (2021-2030). (In Chinese).
Guo, J., Zhang, X., & Sun, Q. (2021). The impact of high-speed rail on innovation: Evidence from China. Transportation Research Part A: Policy and Practice, pp. 143, 17–29. https://doi.org/10.1016/j.tra.2020.11.002
Guo, J., Zhang, Y., & Wang, Y. (2021). The impact of high-speed rail on urban economic growth: Evidence from China's Greater Bay Area. Journal of Transport Geography, p. 92, 103020. https://doi.org/10.1016/j.jtrangeo.2021.103020
HKTDC. (2019). The Greater Bay Area: An analysis of trade and investment opportunities. Hong Kong Trade Development Council.
HKTDC. (2019). The Greater Bay Area: Infrastructure connectivity. Hong Kong Trade Development Council. https://research.hktdc.com/en/article/MzYzMDE5NzQ5
Hong Kong International Airport. (2021). Express Rail Link. https://www.hongkongairport.com/en/transport/to-from-airport/express-rail-link/
Hong Kong Rating and Valuation Department. (2021). Hong Kong Property Review 2021. https://www.rvd.gov.hk/en/publications/hkpr.html
Hong Kong Trade Development Council. (2018). The Hong Kong-Zhuhai-Macao Bridge: Economic impact and opportunities. https://research.hktdc.com/en/article/MzIwNTQzMzky
Hong Kong Trade Development Council. (2020). The Guangzhou-Shenzhen-Hong Kong Express Rail Link: Economic impact and opportunities. https://research.hktdc.com/en/article/MzA3NDQ2Mjc5
International Monetary Fund. (2021). Debt sustainability analysis for market-access countries. https://www.imf.org/en/Publications/Policy-Papers/Issues/2021/02/03/Debt-Sustainability-Analysis-for-Market-Access-Countries-50060
International Monetary Fund. (2021). Fiscal Monitor: A Fair Shot. https://www.imf.org/en/Publications/FM/Issues/2021/03/29/fiscal-monitor-april-2021
Li, H., & Xu, Y. (2019). High-speed rail and urban economic growth in China. Transportation Research Part A: Policy and Practice, pp. 127, 231–245. https://doi.org/10.1016/j.tra.2019.07.011
Li, X., & Cheung, D. M. W. (2021). The impact of high-speed rail on tourism development: Evidence from China's "Eight Vertical and Eight Horizontal" high-speed rail network. Journal of Hospitality and Tourism Management, 48, 352-360. https://doi.org/10.1016/j.jhtm.2021.07.002
Li, Y., & Cheung, K. Y. (2021). Impact of high-speed rail on regional economic disparity and connectivity in China. Transportation Research Part A: Policy and Practice, 148, 130-154. https://doi.org/10.1016/j.tra.2021.03.023
Li, Y., & Fang, C. (2019). Impacts of high-speed rail on regional economic development and regional integration in China. Journal of Geographical Sciences, 29(12), 1885-1903. https://doi.org/10.1007/s11442-019-1696-9
Li, Y., Zhu, K., & Yang, J. (2019). Peer effects of high-speed rail network development on local economy: Evidence from China. Transportation Research Part A: Policy and Practice, 127, 64-77. https://doi.org/10.1016/j.tra.2019.07.003
Li, Z., & Loo, B. P. Y. (2016). Impact analysis of mega infrastructure projects: A Hong Kong-Zhuhai-Macao Bridge case study. International Journal of Sustainable Transportation, 10(9), 816–830. https://doi.org/10.1080/15568318.2016.1149647
Liang, X., Lin, S., & Li, J. (2020). How can we improve regional economic equality through high-speed rail in China? A foresight study based on regional economic indicators. Transport Policy, 99, 236-247. https://doi.org/10.1016/j.tranpol.2020.08.012
Liang, X., Lin, S., & Li, J. (2020). How can we improve regional economic equality? Analyzing the impact of high-speed railway in the Guangdong-Hong Kong-Macao Greater Bay Area. Transportation Research Part A: Policy and Practice, 138, 187-205. https://doi.org/10.1016/j.tra.2020.05.015
Liang, X., Lin, S., & Yang, J. (2019). The impact of high-speed rail on talent flow and regional economic growth: Evidence from China's Yangtze River Delta. Applied Economics, 51(10), 1029-1045. https://doi.org/10.1080/00036846.2018.1524973
Liang, X., Zhang, W., Chen, L., & Deng, F. (2020). Sustainable urban development capacity measure – A case study in Jiangsu Province, China. Sustainability, 12(8), 3100. https://doi.org/10.3390/su12083100
Liang, X., Zhang, W., Chen, L., & Deng, F. (2021). Sustainable urban development: The impact of high-speed rail on airport passenger throughput. Journal of Air Transport Management, 93, 102065. https://doi.org/10.1016/j.jairtraman.2021.102065
Liu, S., & Wang, J. (2020). High-speed rail network development and winner and loser cities in megaregions: The case study of Yangtze River Delta, China. Cities, 99, 102619. https://doi.org/10.1016/j.cities.2020.102619
Liu, S., Wan, Y., Ha, H. K., Yoshida, Y., & Zhang, A. (2018). Impact of high-speed rail network development on airport traffic and traffic distribution: Evidence from China and Japan. Transportation Research Part A: Policy and Practice, pp. 127, 115–135. https://doi.org/10.1016/j.tra.2018.07.015
Loo, B. P. Y., & Cheng, Y. (2018). The spatial-economic impact of high-speed rail: A Guangdong-Hong Kong-Macao Greater Bay Area case study. Journal of Transport Geography, pp. 72, 187–200. https://doi.org/10.1016/j.jtrangeo.2018.09.008
McDonald, J. F., & Osuji, C. I. (1995). The effect of anticipated transportation improvement on residential land values. Regional Science and Urban Economics, 25(3), 261-278. https://doi.org/10.1016/0166-0462(94)02085-U
MTR Corporation. (2018). Guangzhou-Shenzhen-Hong Kong Express Rail Link. https://www.mtr.com.hk/en/corporate/projects/completed_projects_xrl.html
Organization for Economic Cooperation and Development. (2018). Financing infrastructure in Asia through bonds and capital markets. https://www.oecd.org/finance/Financing-infrastructure-in-Asia-through-bonds-and-capital-markets.pdf
Shenzhen Metro. (2021). Introduction to Shenzhen Metro. (In Chinese). https://www.szmc.net/szmc/xwzx/gsxw/index.html
Shenzhen Municipal Government. (2021). Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone Development Plan (2021-2025). https://www.sz.gov.cn/en/government/news/latest/content/post_8718212.html
Shenzhen Statistics Bureau. (2020). Shenzhen Statistical Yearbook 2020. https://tjj.sz.gov.cn/zwtjxx/tjsj/tjnj/content/post_8255111.html
South China Morning Post. (2019). HSBC, Standard Chartered expand Greater Bay Area operations. https://www.scmp.com/business/banking-finance/article/3007284/hsbc-standard-chartered-expand-greater-bay-area-operations
Wang, J., Du, D., & Huang, J. (2019). Inter-city connections in China: High-speed rail development and its impacts on regional accessibility. Applied Spatial Analysis and Policy, 12(1), 123-146. https://doi.org/10.1007/s12061-018-9256-8
Wang, J., Du, D., & Huang, J. (2019). The impact of high-speed rail on logistics development: Evidence from China. Transportation Research Part A: Policy and Practice, 138, 190-203. https://doi.org/10.1016/j.tra.2020.06.002
Wang, J., Jiao, J., & Ma, L. (2021). The evolution and governance of the Guangdong-Hong Kong-Macao Greater Bay Area: A multi-scale analysis. Cities, 116, 103296. https://doi.org/10.1016/j.cities.2021.103296
Wang, K., Xia, W., & Zhang, A. (2019). The impact of high-speed rail on regional economic development: Evidence from Guangdong-Hong Kong-Macao Greater Bay Area. Transportation Research Part A: Policy and Practice, pp. 132, 61–75. https://doi.org/10.1016/j.tra.2019.10.017
Wang, L., Xue, X., Zhao, Z., & Wang, Z. (2020). How to improve the equity of infrastructure projects in the Guangdong-Hong Kong-Macao Greater Bay Area: A social network analysis. International Journal of Environmental Research and Public Health, 17(11), 3781. https://doi.org/10.3390/ijerph17113781
Wang, L., Xue, X., Zhao, Z., & Wang, Z. (2021). The impacts of transportation infrastructure on sustainable development: Emerging trends and challenges. International Journal of Environmental Research and Public Health, 18(6), 2871. https://doi.org/10.3390/ijerph18062871
Wang, Y., Ding, Q., & Liu, C. (2021). Does high-speed rail connection promote the local economy? Evidence from China's Yangtze River Delta. Journal of Transport Geography, 90, 102935. https://doi.org/10.1016/j.jtrangeo.2020.102935
World Bank. (2019). Belt and road economics: Opportunities and risks of transport corridors. World Bank. https://openknowledge.worldbank.org/handle/10986/31878
World Bank. (2019). Innovative financing for development. https://www.worldbank.org/en/topic/innovativefinance
World Shipping Council. (2019). Top 50 world container ports. https://www.worldshipping.org/top-50-world-container-ports
Xu, J., & Yeh, A. G. O. (2013). Interjurisdictional cooperation through bargaining: The case of the Guangzhou-Zhuhai railway in the Pearl River Delta, China. The China Quarterly, pp. 213, 130–151. https://doi.org/10.1017/S0305741013000283
Yang, C., Li, Y., & Loo, B. P. Y. (2020). Towards sustainable transport development in the Guangdong-Hong Kong-Macao Greater Bay Area. Transport Policy, 97, 1-12. https://doi.org/10.1016/j.tranpol.2020.06.014
Yang, H., Dijst, M., Witte, P., van Ginkel, H., & Wang, J. (2020). Comparing passenger flow and schedule data to analyze High-Speed Railways and urban networks in China. Urban Studies, 57(14), 2840-2859. https://doi.org/10.1177/0042098019894119
Yang, H., Dobruszkes, F., Wang, J., Dijst, M., & Witte, P. (2019). Comparing China's urban systems in high-speed railway and airline networks. Journal of Transport Geography, 74, 205-217. https://doi.org/10.1016/j.jtrangeo.2018.11.015
Zeng, D. Z. (2019). Promoting the development of the Guangdong-Hong Kong-Macao Greater Bay Area: Opportunities, challenges, and policy options. China & World Economy, 27(2), 112–136. https://doi.org/10.1111/cwe.12278
Zhang, X., & Huang, R. (2018). The Guangdong-Hong Kong-Macao Greater Bay Area: The new engine of China's innovation-driven development. China Economist, 13(5), 16–32. https://doi.org/10.19602/j.chinaeconomist.2018.09.02
Zhu, Y., & Xu, J. (2020). The impact of high-speed rail on urban labor market integration: Evidence from China. Transportation Research Part A: Policy and Practice, 141, 1-16. https://doi.org/10.1016/j.tra.2020.09.001