Unraveling the impact of digital highway projects on economic growth: regional competitiveness perspective

    Rui Liu Info
    Jingfeng Yuan Info
    Guangdong Wu Info
    Jianfeng Zhao Info
    Bingsheng Liu Info
DOI: https://doi.org/10.3846/tede.2026.24923

Abstract

Highway projects that harness digital technologies during operation (known as digital highway projects; DHPs) can stimulate economic growth, but limited efforts have been made to fully unravel this mechanism. To address this void, this study examined the impact of DHPs on the economic growth. Specifically, under the auspices of the regional competitiveness theory, the development level of DHPs, transportation demand, new factor endowments, and related and supporting industries were identified and measured first, and their impact on economic growth was then unearthed using data from 11 operational DHPs and a partial least squares structural equation modeling (PLS-SEM) framework. It was observed, from the perspective of stakeholders of our DHPs, that DHPs increase transportation demand, which in turn has a positive effect on a new factor endowment (i.e., data flow) and the development of related and supporting industries, with the former (β = 0.859, p < 0.001) being impacted more than the latter (β = 0.363, p < 0.001). In addition, new factor endowment has a statistically significant impact (β = 0.666, p < 0.001) on the economy, while the development of related and supporting industries is insignificant (β = 0.095, p > 0.05). Finally, although DHPs promote economic growth, this path can be mediated by increased transportation demand and subsequently by the new factor endowment including data flow. As such, this study further develops the regional competitiveness theory in the context of DHPs and provides new empirical evidence on the ‘transportation induced demand’ effect and the growth theory. Practically, this study arms policymakers with a better understanding of how DHPs influence the regional economy, and offers effective and targeted recommendations for managing these projects.

First published online 25 May 2026

Keywords:

digital highway projects, economic growth, PLS-SEM, regional competitiveness theory

How to Cite

Liu, R., Yuan, J., Wu, G., Zhao, J., & Liu, B. (2026). Unraveling the impact of digital highway projects on economic growth: regional competitiveness perspective. Technological and Economic Development of Economy, 1-28. https://doi.org/10.3846/tede.2026.24923

Share

Published in Issue
May 25, 2026
Abstract Views
44

References

Akpan, E. S., & Eweke, G. O. (2017). Foreign direct investment and industrial sector performance: Assessing the long-run implication on economic growth in Nigeria. Journal of Mathematical Finance, 7(2), 391–411. https://doi.org/10.4236/jmf.2017.72021

Andersson, Å. E., Anderstig, C., & Hårsman, B. (1990). Knowledge and communications infrastructure and regional economic change. Regional Science and Urban Economics, 20(3), 359–376. https://doi.org/10.1016/0166-0462(90)90016-V

Appiah-Otoo, I., & Song, N. (2021). The impact of ICT on economic growth-Comparing rich and poor countries. Telecommunications Policy, 45(2), Article 102082. https://doi.org/10.1016/j.telpol.2020.102082

Babar, M., & Arif, F. (2019). Real-time data processing scheme using big data analytics in internet of things based smart transportation environment. Journal of Ambient Intelligence and Humanized Computing, 10, 4167–4177. https://doi.org/10.1007/s12652-018-0820-5

Banerjee, A., Duflo, E., & Qian, N. (2020). On the road: Access to transportation infrastructure and economic growth in China. Journal of Development Economics, 145, Article 102442. https://doi.org/10.1016/j.jdeveco.2020.102442

Barba-Sánchez, V., Calderón-Milán, M. J., & Atienza-Sahuquillo, C. (2018). A study of the value of ict in improving corporate performance: A corporate competitiveness view. Technological and Economic Development of Economy, 24(4), 1388–1407. https://doi.org/10.3846/tede.2018.3114

Beyzatlar, M. A., Karacal, M., & Yetkiner, H. (2014). Granger-causality between transportation and GDP: A panel data approach. Transportation Research Part A: Policy and Practice, 63, 43–55. https://doi.org/10.1016/j.tra.2014.03.001

Bloom, D. E., & Freeman, R. B. (1986). The effects of rapid population growth on labor supply and employment in developing countries. Population and Development Review, 12(3), 381–414. https://doi.org/10.2307/1973216

Brahmasrene, T., & Lee, J. W. (2016). Assessing the dynamic impact of tourism, industrialization, urbanization, and globalization on growth and environment in Southeast Asia. International Journal of Sustainable Development & World Ecology, 24(4), 362–371. https://doi.org/10.1080/13504509.2016.1238021

Breton, A. (1998). Competitive governments: An economic theory of politics and public finance. Cambridge University Press.

Bris, A. (2014). IMD releases its 2014 world competitiveness yearbook ranking: The US leads, Europe recovers, and big emerging markets struggle. International Institute for Management Development (IMD). https://imd.widen.net/view/pdf/oa7g3wltln/com_may_2014.pdf

Brugnoli, A., Dal Bianco, A., Martini, G., & Scotti, D. (2018). The impact of air transportation on trade flows: A natural experiment on causality applied to Italy. Transportation Research Part A: Policy and Practice, 112, 95–107. https://doi.org/10.1016/j.tra.2018.01.010

Buitrago R, R. E., Felipe, G.-S. A., & Garzón Restrepo, J. E. (2024). Exploratory analysis of the determinants of informality in emerging and frontier economies: An institutional approach via PLS-SEM. Development Studies Research, 11(1), Article 2291004. https://doi.org/10.1080/21665095.2023.2291004

Cai, J., Liu, Y., Gao, H., & Chen, C. (2022). The approach of data factor participating in value creation: A general equilibrium analysis based on the general theory of value. Journal of Management World, 7, 108–119.

Caiazza, C., Giordano, S., Luconi, V., & Vecchio, A. (2022). Edge computing vs centralized cloud: Impact of communication latency on the energy consumption of LTE terminal nodes. Computer Communications, 194, 213–225. https://doi.org/10.1016/j.comcom.2022.07.026

Cervero, R. (2003). Road expansion, urban growth, and induced travel: A path analysis. Journal of the American Planning Association, 69(2), 145–163. https://doi.org/10.1080/01944360308976303

Chabot, T., Bouchard, F., Legault-Michaud, A., Renaud, J., & Coelho, L. C. (2018). Service level, cost and environmental optimization of collaborative transportation. Transportation Research Part E: Logistics and Transportation Review, 110, 1–14. https://doi.org/10.1016/j.tre.2017.11.008

Chang, Z., Diao, M., Jing, K., & Li, W. (2021). High-speed rail and industrial movement: Evidence from China’s Greater Bay Area. Transport Policy, 112, 22–31. https://doi.org/10.1016/j.tranpol.2021.08.013

Chanieabate, M., He, H., Guo, C., Abrahamgeremew, B., & Huang, Y. (2023). Examining the relationship between transportation infrastructure, urbanization level and rural-urban income gap in China. Sustainability, 15(10), Article 8410. https://doi.org/10.3390/su15108410

Chatman, D. G., & Noland, R. B. (2011). Do public transport improvements increase agglomeration economies? A review of literature and an agenda for research. Transport Reviews, 31(6), 725–742. https://doi.org/10.1080/01441647.2011.587908

Chen, J., & Mei, L. (2018). Innovation evolution of China’s high-speed rail industry. Frontiers of Engineering Management, 5(4), 548–552. https://doi.org/10.15302/J-FEM-2018208

Chen, N., Sun, D., & Chen, J. (2022). Digital transformation, labour share, and industrial heterogeneity. Journal of Innovation & Knowledge, 7(2), Article 100173. https://doi.org/10.1016/j.jik.2022.100173

Chen, W., & Klaiber, H. A. (2020). Does road expansion induce traffic? An evaluation of vehicle-kilometers traveled in China. Journal of Environmental Economics and Management, 104, Article 102387. https://doi.org/10.1016/j.jeem.2020.102387

Chinoracky, R., Kurotova, J., & Janoskova, P. (2021). Measuring the impact of digital technologies on transport industry – macroeconomic perspective. Transportation Research Procedia, 55, 434–441. https://doi.org/10.1016/j.trpro.2021.07.092

Cho, D.-S. (1994). A dynamic approach to international competitiveness: The case of Korea. Asia Pacific Business Review, 1(1), 17–36. https://doi.org/10.1080/13602389400000002

Ciampi, F., Demi, S., Magrini, A., Marzi, G., & Papa, A. (2021). Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation. Journal of Business Research, 123, 1–13. https://doi.org/10.1016/j.jbusres.2020.09.023

Dabiri, S., & Heaslip, K. (2018). Transport-domain applications of widely used data sources in the smart transportation: A survey. ArXiv. https://doi.org/10.48550/arXiv.1803.10902

Deng, F., Liu, G., & Jin, Z. (2013). Factors formulating the competitiveness of the chinese construction industry: Empirical investigation. Journal of Management in Engineering, 29(4), 435–445. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000161

Drescher, K., & Maurer, O. (1999). Competitiveness in the European dairy industries. Agribusiness, 15(2), 163–177. https://doi.org/10.1002/(SICI)1520-6297(199921)15:2<163::AID-AGR2>3.0.CO;2-5

Du, L. (2007). Acquiring competitive advantage in industry through supply chain integration: A case study of Yue Yuen Industrial Holdings Ltd. Journal of Enterprise Information Management, 20(5), 527–543. https://doi.org/10.1108/17410390710823680

Eicher, T. S., & Strobel, T. (2008). The rise and fall of german productivity software investment as the decisive driver. CESifo Economic Studies, 54(3), 386–413. https://doi.org/10.1093/cesifo/ifn018

Fang, K., Zhou, Y., Wang, S., Ye, R., & Guo, S. (2018). Assessing national renewable energy competitiveness of the G20: A revised Porter’s Diamond Model. Renewable and Sustainable Energy Reviews, 93, 719–731. https://doi.org/10.1016/j.rser.2018.05.011

Fujita, M., & Thisse, J.-F. (2003). Does geographical agglomeration foster economic growth? And who gains and loses from it? The Japanese Economic Review, 54(2), 121–145. https://doi.org/10.1111/1468-5876.00250

Garcia-López, M.-À. (2019). All roads lead to Rome… and to sprawl? Evidence from European cities. Regional Science and Urban Economics, 79, Article 103467. https://doi.org/10.1016/j.regsciurbeco.2019.103467

Giudici, H., & Pérez-Fortes, A. P. (2022). How recent developments in smart road technologies and construction materials can contribute to the sustainability of road infrastructure. Journal of Infrastructure Systems, 28(4), Article 02522002. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000711

Grossman, G. M., & Helpman, E. (1990). Trade, innovation, and growth. The American Economic Review, 80(2), 86–91.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202

Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Hawtrey, R. G. (1951). The nature of profit. The Economic Journal, 61(243), 489–504. https://doi.org/10.2307/2226483

Herzog, I. (2021). National transportation networks, market access, and regional economic growth. Journal of Urban Economics, 122, Article 103316. https://doi.org/10.1016/j.jue.2020.103316

Hilbert, M. (2015). Big data for development: A review of promises and challenges. Development Policy Review, 34(1), 135–174. https://doi.org/10.1111/dpr.12142

Hoover, E. M. (1936). The measurement of industrial localization. The Review of Economics and Statistics, 18(4), 162–171. https://doi.org/10.2307/1927875

Hymel, K. (2019). If you build it, they will drive: Measuring induced demand for vehicle travel in urban areas. Transport Policy, 76, 57–66. https://doi.org/10.1016/j.tranpol.2018.12.006

Intelligent Transportation Society of America. (n.d.). What does the future transportation system look like? The digital age of innovative infrastructure is here and now. https://itsa.org/what-does-the-future-transportation-system-look-like-the-digital-age-of-innovative-infrastructure-is-here-and-now/

Jamali, D. (2008). A stakeholder approach to corporate social responsibility: A fresh perspective into theory and practice. Journal of Business Ethics, 82, 213–231. https://doi.org/10.1007/s10551-007-9572-4

Jia, W., Collins, A., & Liu, W. (2023). Digitalization and economic growth in the new classical and new structural economics perspectives. Digital Economy and Sustainable Development, 1, Article 5. https://doi.org/10.1007/s44265-023-00007-0

Jorgenson, D. W., & Vu, K. M. (2016). The ICT revolution, world economic growth, and policy issues. Telecommunications Policy, 40(5), 383–397. https://doi.org/10.1016/j.telpol.2016.01.002

Kapsos, S. (2006). The employment intensity of growth: Trends and macroeconomic determinants. In J. Felip & R. Hasan (Eds.), Labor markets in Asia (pp. 143–201). Palgrave. https://doi.org/10.1057/9780230627383_4

Kenis, P., & Provan, K. G. (2009). Towards an exogenous theory of public network performance. Public Administration, 87(3), 440–456. https://doi.org/10.1111/j.1467-9299.2009.01775.x

Krugman, P. (1991). Increasing returns and economic geography. Journal of Political Economy, 99(3), 483–499. https://doi.org/10.1086/261763

Kušić, K., Schumann, R., & Ivanjko, E. (2023). A digital twin in transportation: Real-time synergy of traffic data streams and simulation for virtualizing motorway dynamics. Advanced Engineering Informatics, 55, Article 101858. https://doi.org/10.1016/j.aei.2022.101858

Lakshmanan, T. R. (2011). The broader economic consequences of transport infrastructure investments. Journal of Transport Geography, 19(1), 1–12. https://doi.org/10.1016/j.jtrangeo.2010.01.001

Latham, A., & Layton, J. (2019). Social infrastructure and the public life of cities: Studying urban sociality and public spaces. Geography Compass, 13(7), Article e12444. https://doi.org/10.1111/gec3.12444

Lee, H. J., & Oh, H. (2020). A study on the deduction and diffusion of promising artificial intelligence technology for sustainable industrial development. Sustainability, 12(14), Article 5609. https://doi.org/10.3390/su12145609

Lee, J., & Yoon, Y. (2021). Indicators development to support intelligent road infrastructure in urban cities. Transport Policy, 114, 252–265. https://doi.org/10.1016/j.tranpol.2021.10.009

Li, C., Zheng, W., Zhuang, X., & Chen, F. (2023). Intelligent transport design with a dual focus: Tourist experience and operating cost. Annals of Tourism Research, 101, Article 103597. https://doi.org/10.1016/j.annals.2023.103597

Li, L.-H. (2017). Balancing rural and urban development: Applying Coordinated Urban–Rural Development (CURD) strategy to achieve sustainable urbanisation in China. Sustainability, 9(11), Article 1948. https://doi.org/10.3390/su9111948

Lin, X. (2019). Multiple pathways of transportation investment to promote economic growth in China: A structural equation modeling perspective. Transportation Letters, 12(7), 471–482. https://doi.org/10.1080/19427867.2019.1635780

Lin, X., MacLachlan, I., Ren, T., & Sun, F. (2019). Quantifying economic effects of transportation investment considering spatiotemporal heterogeneity in China: A spatial panel data model perspective. The Annals of Regional Science, 63(3), 437–459. https://doi.org/10.1007/s00168-019-00937-8

Liu, R., Yuan, J., Liu, H. J., Su, S., Sun, A., & Liu, B. (2025). Digital transport infrastructure and environmental sustainability: STIRPAT perspective based on China’s evidence. Research in Transportation Business & Management, 59, Article 101314. https://doi.org/10.1016/j.rtbm.2025.101314

Liu, Z., Zeng, S., Jin, Z., & Shi, J. J. (2022). Transport infrastructure and industrial agglomeration: Evidence from manufacturing industries in China. Transport Policy, 121, 100–112. https://doi.org/10.1016/j.tranpol.2022.04.001

Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22, 3–42. https://doi.org/10.1016/0304-3932(88)90168-7

Lythreatis, S., Singh, S. K., & El-Kassar, A.-N. (2022). The digital divide: A review and future research agenda. Technological Forecasting and Social Change, 175, Article 121359. https://doi.org/10.1016/j.techfore.2021.121359

Mahmood, A., Siddiqui, S. A., Sheng, Q. Z., Zhang, W. E., Suzuki, H., & Ni, W. (2022). Trust on wheels: Towards secure and resource efficient IoV networks. Computing, 104(6), 1337–1358. https://doi.org/10.1007/s00607-021-01040-7

Makhlouf, L., & Helali, K. (2024). Analysis of the public transport efficiency, productivity and economies of scale: The case of Sfax – Tunisia. Economics, 12(1), 51–69. https://doi.org/10.2478/eoik-2024-0004

Marotta, A., Avallone, S., & Kassler, A. (2018). A joint power efficient server and network consolidation approach for virtualized data centers. Computer Networks, 130, 65–80. https://doi.org/10.1016/j.comnet.2017.11.003

Mattsson, L.-G., & Jenelius, E. (2015). Vulnerability and resilience of transport systems – A discussion of recent research. Transportation Research Part A: Policy and Practice, 81, 16–34. https://doi.org/10.1016/j.tra.2015.06.002

Melo, P. C., Graham, D. J., Levinson, D., & Aarabi, S. (2016). Agglomeration, accessibility and productivity: Evidence for large metropolitan areas in the US. Urban Studies, 54(1), 179–195. https://doi.org/10.1177/0042098015624850

Mueller, M., & Grindal, K. (2019). Data flows and the digital economy: Information as a mobile factor of production. Digital Policy, Regulation and Governance, 21(1), 71–87. https://doi.org/10.1108/DPRG-08-2018-0044

Moreno-Monroy, A. I., S. Yu, & Euse, V. (2016). Urban employment in small businesses and the level of economic development: Evidence from Chinese cities. Growth and Change, 47, 53–71. https://doi.org/10.1111/grow.12120

Myovella, G., Karacuka, M., & Haucap, J. (2020). Digitalization and economic growth: A comparative analysis of Sub-Saharan Africa and OECD economies. Telecommunications Policy, 44(2), Article 101856. https://doi.org/10.1016/j.telpol.2019.101856

Nham, N. T. H., Bao, N. K. Q., & Ha, L. T. (2023). Nonlinear effects of digitalization on export activities: An empirical investigation in European countries. Technological and Economic Development of Economy, 29(3), 1041–1079. https://doi.org/10.3846/tede.2023.17061

Niu, Y., Deng, X., Zhao, X., & Zhang, N. (2020). Hexagonal diamond model for international competitive advantages of high-speed railway industry. Journal of Management in Engineering, 36(2), Article 04020001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000746

Nurlestari, A., & Oktavilia, S. (2023). Industrial agglomeration and economic growth in Indonesia. Efficient: Indonesian Journal of Development Economics, 6(1), 1–12. https://doi.org/10.15294/efficient.v6i1.55232

Walsh, V. (1994). Technology and the economy – the key relationships. R&D Management, 24, 104–107. https://doi.org/10.1111/j.1467-9310.1994.tb00856.x

Paaswell, R. E. (2010). Intelligent transportation systems: Creating operational, institutional, and labor force changes in the United States. Journal of Urban Technology, 8(2), 61–73. https://doi.org/10.1080/106307301316904790

Pack, H. (1994). Endogenous growth theory: Intellectual appeal and empirical shortcomings. Journal of Economic Perspectives, 8(1), 55–72. https://doi.org/10.1257/jep.8.1.55

Pan, W., Xie, T., Wang, Z., & Ma, L. (2022). Digital economy: An innovation driver for total factor productivity. Journal of Business Research, 139, 303–311. https://doi.org/10.1016/j.jbusres.2021.09.061

Peng, C., Elahi, E., Fan, B., & Li, Z. (2022). Effect of high-tech manufacturing co-agglomeration and producer service industry on regional innovation efficiency. Frontiers in Environmental Science, 10, Article 942057. https://doi.org/10.3389/fenvs.2022.942057

Peng, D., Li, R., Shen, C., & Wong, Z. (2022). Industrial agglomeration, urban characteristics, and economic growth quality: The case of knowledge-intensive business services. International Review of Economics & Finance, 81, 18–28. https://doi.org/10.1016/j.iref.2022.05.001

Peng, Y., Li, J., Park, S., Zhu, K., Hassan, M. M., & Alsanad, A. (2019). Energy-efficient cooperative transmission for intelligent transportation systems. Future Generation Computer Systems, 94, 634–640. https://doi.org/10.1016/j.future.2018.11.053

Pokharel, R., Bertolini, L., te Brommelstroet, M., & Acharya, S. R. (2021). Spatio-temporal evolution of cities and regional economic development in Nepal: Does transport infrastructure matter? Journal of Transport Geography, 90, Article 102904. https://doi.org/10.1016/j.jtrangeo.2020.102904

Porter, M. E. (1990). The competitive advantage of notions. Harvard Business Review, 68(2), 73–93.

Portes, A., & Benton, L. (1984). Industrial development and labor absorption: A reinterpretation. Population and Development Review, 10(4), 589–611. https://doi.org/10.2307/1973283

Pu, B., & Qiu, Y. (2014). The synergy between city human resources and city economy development based on the city marketing: The case of Chengdu. Mathematical Problems in Engineering, Article 892526. https://doi.org/10.1155/2014/892526

Qu, W. G., & Pinsonneault, A. (2022). Economic impacts of in-house and packaged software investments: The influence of software investment opportunities. Industrial Management & Data Systems, 123(3), 746–761. https://doi.org/10.1108/IMDS-03-2022-0185

Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26(4), 332–344. https://doi.org/10.1016/j.ijresmar.2009.08.001

Ren, Y., Tian, Y., & Zhang, C. (2021). Investigating the mechanisms among industrial agglomeration, environmental pollution and sustainable industrial efficiency: A case study in China. Environment, Development and Sustainability, 24(11), 12467–12493. https://doi.org/10.1007/s10668-021-01971-3

Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). Editor’s comments: A critical look at the use of PLS-SEM in “MIS Quarterly”. MIS Quarterly, 36(1), 3–14. https://doi.org/10.2307/41410402

Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2016). Estimation issues with PLS and CBSEM: Where the bias lies! Journal of Business Research, 69(10), 3998–4010. https://doi.org/10.1016/j.jbusres.2016.06.007

Sheykhi, M. T. (2016). Rural – urban balance as a measure of socio-economic development with special reference to Iran. Journal of Social Economics Research, 3(1), 1–12. https://doi.org/10.18488/journal.35/2016.3.1/35.1.1.12

Si, H., Su, Y., Wu, G., Liu, B., & Zhao, X. (2020). Understanding bike-sharing users’ willingness to participate in repairing damaged bicycles: Evidence from China. Transportation Research Part A: Policy and Practice, 141, 203–220. https://doi.org/10.1016/j.tra.2020.09.017

Soete, L. (1985). International diffusion of technology, industrial development and technological leapfrogging. World Development, 13(3), 409–422. https://doi.org/10.1016/0305-750X(85)90138-X

Solow, R. M. (1956). A contribution to the theory of economic growth. Quarterly Journal of Economics, 70(1), 65–94. https://doi.org/10.2307/1884513

Sun, B., Yu, H., Peng, Z.-R., & Gao, Y. (2017). High-speed rail and manufacturing agglomeration. Transportation Research Record: Journal of the Transportation Research Board, 2606(1), 86–95. https://doi.org/10.3141/2606-12

Sun, J., Cherian, J., Deng, D., Yucel, A. G., Sial, M. S., Fu, Q., & Cismas, L. M. (2022). The relationship between rail transit and industrial agglomeration: Mediating effect of labor agglomeration. Frontiers in Environmental Science, 10, Article 875914. https://doi.org/10.3389/fenvs.2022.875914

Sun, Y., Li, L., Shi, H., & Chong, D. (2020). The transformation and upgrade of China‘s manufacturing industry in Industry 4.0 era. Systems Research and Behavioral Science, 37(4), 734–740. https://doi.org/10.1002/sres.2714

Tao Yang, D., & Zhou, H. (1999). Rural‐urban disparity and sectoral labour allocation in China. The Journal of Development Studies, 35(3), 105–133. https://doi.org/10.1080/00220389908422575

Tende, R. T., Bouba, D., & Enow, R. T. (2024). Igniting urbanization and development of mamfe town through road infrastructure: case of the bamenda-mamfe highway. Saudi Journal of Humanities and Social Sciences, 9(1), 14–22. https://doi.org/10.36348/sjhss.2024.v09i01.003

Tseng, F.-H., Hsueh, J.-H., Tseng, C.-W., Yang, Y.-T., Chao, H.-C., & Chou, L.-D. (2018). Congestion prediction with big data for real-time highway traffic. IEEE Access, 6, 57311–57323. https://doi.org/10.1109/ACCESS.2018.2873569

Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application, 11(2), 5–40.

Valentinov, V., Roth, S., & Will, M. G. (2019). Stakeholder theory: A Luhmannian perspective. Administration & Society, 51(5), 826–849. https://doi.org/10.1177/0095399718789076

Venturini, F. (2015). The modern drivers of productivity. Research Policy, 44(2), 357–369. https://doi.org/10.1016/j.respol.2014.10.011

Vu, K. M. (2011). ICT as a source of economic growth in the information age: Empirical evidence from the 1996–2005 period. Telecommunications Policy, 35(4), 357–372. https://doi.org/10.1016/j.telpol.2011.02.008

Vu, K., Hanafizadeh, P., & Bohlin, E. (2020). ICT as a driver of economic growth: A survey of the literature and directions for future research. Telecommunications Policy, 44(2), Article 101922. https://doi.org/10.1016/j.telpol.2020.101922

Wan, J., Ma, C., Jiang, T., Phillips, A., Wu, X., Wang, Y., & Cao, Y. (2024). A spatial econometric investigation into road traffic accessibility and economic growth: Insights from the Chengdu-Chongqing twin-city economic circle. Humanities and Social Sciences Communications, 11(1), 1–9. https://doi.org/10.1057/s41599-024-02695-1

Wang, J., Jiang, C., Han, Z., Ren, Y., & Hanzo, L. (2018). Internet of vehicles: Sensing-aided transportation information collection and diffusion. IEEE Transactions on Vehicular Technology, 67(5), 3813–3825. https://doi.org/10.1109/TVT.2018.2796443

Wang, J., Yang, X., Qalati, S. A., & Deng, Y. (2022). Spatial spillover effect and spatial distribution characteristics of transportation infrastructure on economic growth: A case of the Yangtze river delta. Frontiers in Environmental Science, 10, Article 900209. https://doi.org/10.3389/fenvs.2022.900209

Wang, L., Zhang, P., Ma, L., Gong, X. H., & Skibniewski, M. J. (2020). Developing a corporate social responsibility framework for sustainable construction using partial least squares structural equation modeling. Technological and Economic Development of Economy, 26(1), 186–212. https://doi.org/10.3846/tede.2020.11263

Wang, P., Zhang, X., Han, B., & Lang, M. (2018). Carrying capacity and efficiency optimization model for freight train segment train. Cluster Computing, 22, 4927–4940. https://doi.org/10.1007/s10586-018-2444-0

Wang, S. (2016). China’s interregional capital mobility: A spatial econometric estimation. China Economic Review, 41, 114–128. https://doi.org/10.1016/j.chieco.2016.09.006

Widodo, W., Salim, R., & Bloch, H. (2014). Agglomeration economies and productivity growth in manufacturing industry: Empirical evidence from Indonesia. Economic Record, 90(s1), 41–58. https://doi.org/10.1111/1475-4932.12115

Wu, B., & Yang, W. (2022). Empirical test of the impact of the digital economy on China’s employment structure. Finance Research Letters, 49, Article 103047. https://doi.org/10.1016/j.frl.2022.103047

Wu, H. X., & Yu, C. (2022). The impact of the digital economy on China’s economic growth and productivity performance. China Economic Journal, 15(2), 153–170. https://doi.org/10.1080/17538963.2022.2067689

Wu, L., Chu, J., Ci, Y., Feng, S., & Liu, X. (2015). Engineering solutions to enhance traffic safety performance on two-lane highways. Mathematical Problems in Engineering, Article 762379. https://doi.org/10.1155/2015/762379

Wu, T., & Shao, W. (2022). How does digital economy drive industrial structure upgrading: An empirical study based on 249 prefecture-level cities in China. PLoS ONE, 17(11), Article 0277787. https://doi.org/10.1371/journal.pone.0277787

Yang, S., Milner, C., Lancheros, S., & Gunessee, S. (2020). Access to finance, technology investments and exporting decisions of indian services firms. Open Economies Review, 31, 1009–1036. https://doi.org/10.1007/s11079-020-09595-2

Yang, X., Lin, S., Zhang, J., & He, M. (2019). Does high-speed rail promote enterprises productivity? Evidence from china. Journal of Advanced Transportation, Article 1279489. https://doi.org/10.1155/2019/1279489

Yang, Y., Easa, S. M., Lin, Z., & Zheng, X. (2018). Evaluating highway traffic safety: An integrated approach. Journal of Advanced Transportation, Artcile 4598985. https://doi.org/10.1155/2018/4598985

Yang, Y., Lu, X., Chen, J., & Li, N. (2022). Factor mobility, transportation network and green economic growth of the urban agglomeration. Scientific Report, 12, Article 20094. https://doi.org/10.1038/s41598-022-24624-5

Ye, Z., Wei, Y., Yang, S., Li, P., Yang, F., Yang, B., & Wang, L. (2024). IoT-enhanced smart road infrastructure systems for comprehensive real-time monitoring. Internet of Things and Cyber-Physical Systems, 4, 235–249. https://doi.org/10.1016/j.iotcps.2024.01.002

Yuni, D. N., Makhetha, L. S., & Lelimo, S. (2023). Analyzing the relationship between Industrialization and economic growth in Lesotho. Cogent Economics & Finance, 11(2), Article 2285620. https://doi.org/10.1080/23322039.2023.2285620

Zeng, D.-Z. (2015). Capital mobility and spatial inequalities in income and industrial location. The Journal of Economic Inequality, 14, 109–128. https://doi.org/10.1007/s10888-015-9318-y

Zhang, C., Liu, Y., Lu, W., & Xiao, G. (2019). Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service. Transportation Research Part A: Policy and Practice, 120, 149–164. https://doi.org/10.1016/j.tra.2018.12.013

Zhang, H., Zhang, K., Yan, T., & Cao, X. (2025). The impact of digital infrastructure on regional green innovation efficiency through industrial agglomeration and diversification. Humanities and Social Sciences Communications, 12, Article 220. https://doi.org/10.1057/s41599-025-04512-9

Zhang, J., Zhang, R., Xu, J., Wang, J., & Shi, G. (2021). Infrastructure investment and regional economic growth: Evidence from Yangtze River economic zone. Land, 10(3), Article 320. https://doi.org/10.3390/land10030320

Zheng, P., Zheng, H., & Dong, M. (2011, May 20–22). Diamond model analysis of River-sea combined transport. In Proceedings of the 2011 International Symposium on Water Resource and Environmental Protection (pp. 2555–2558). Xi’an, China. IEEE. https://doi.org/10.1109/ISWREP.2011.5893399

Zhang, X., Wu, Y., Skitmore, M., & Jiang, S. (2015). Sustainable infrastructure projects in balancing urban-rural development: towards the goal of efficiency and equity. Journal of Cleaner Production, 107, 445–454. https://doi.org/10.1016/j.jclepro.2014.09.068

View article in other formats

CrossMark check

CrossMark logo

Published

2026-05-25

Issue

Section

Articles

How to Cite

Liu, R., Yuan, J., Wu, G., Zhao, J., & Liu, B. (2026). Unraveling the impact of digital highway projects on economic growth: regional competitiveness perspective. Technological and Economic Development of Economy, 1-28. https://doi.org/10.3846/tede.2026.24923

Share