IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v89y2020ics0140988320301493.html
   My bibliography  Save this article

Transportation infrastructure and efficient energy services: A perspective of China's manufacturing industry

Author

Listed:
  • Lin, Boqiang
  • Chen, Yu

Abstract

Transportation infrastructure and efficient energy services are closely related to the economy and national strategic competitiveness. Whether there are internal influence mechanisms behind their similar growth trends is a question worthy of further discussion. Given the fundamental and leading role played by infrastructure investment and energy cooperation in international exchanges, studying this global issue can provide a new perspective and reference for policy-makers' macroeconomic planning. However, there is very little literature investigating the influencing mechanism of transportation infrastructure on the efficient energy services of countries. The energy consumption of China's manufacturing industry accounted for 12.8% of the world in 2016, which makes the sector suitable as our research object. Using the provincial panel data from 1998 to 2016, this paper quantitatively calculates the effective energy services of the manufacturing industry in China and adopts the convergence analysis to find the phenomenon that the gaps of effective energy services between the three regions (east, central and west) are growing. The empirical results indicate that the development of transportation infrastructure, economic growth, technological progress, optimization of industrial structure, and the decline of energy price will significantly improve the effective energy service. Moreover, the panel threshold model is applied to demonstrate that the influence of transportation infrastructure on effective energy services in the context of income heterogeneity shows a nonlinear rising characteristic. The construction of transportation infrastructure plays an increasingly vital role in promoting effective energy services for the manufacturing industry in the central and western regions. Based on the above conclusions, we not only put forward some targeted policy recommendations to improve the policy design of the Chinese government, but also provide references for the transportation infrastructure cooperation in countries with different economic development levels along the Belt and Road Initiative.

Suggested Citation

  • Lin, Boqiang & Chen, Yu, 2020. "Transportation infrastructure and efficient energy services: A perspective of China's manufacturing industry," Energy Economics, Elsevier, vol. 89(C).
    • Handle: RePEc:eee:eneeco:v:89:y:2020:i:c:s0140988320301493
    DOI: 10.1016/j.eneco.2020.104809
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988320301493
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2020.104809?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. de Soyres, François & Mulabdic, Alen & Ruta, Michele, 2020. "Common transport infrastructure: A quantitative model and estimates from the Belt and Road Initiative," Journal of Development Economics, Elsevier, vol. 143(C).
    2. Choi, Ki-Hong & Oh, Wankeun, 2014. "Extended Divisia index decomposition of changes in energy intensity: A case of Korean manufacturing industry," Energy Policy, Elsevier, vol. 65(C), pages 275-283.
    3. Lin, Boqiang & Zhang, Guoliang, 2013. "Estimates of electricity saving potential in Chinese nonferrous metals industry," Energy Policy, Elsevier, vol. 60(C), pages 558-568.
    4. Gale A. Boyd, 2008. "Estimating Plant Level Energy Efficiency with a Stochastic Frontier," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 23-44.
    5. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    6. Alan V. Deardorff, 2011. "Rich And Poor Countries In Neoclassical Trade And Growth," World Scientific Book Chapters, in: Robert M Stern (ed.), Comparative Advantage, Growth, And The Gains From Trade And Globalization A Festschrift in Honor of Alan V Deardorff, chapter 25, pages 295-313, World Scientific Publishing Co. Pte. Ltd..
    7. Lin, Boqiang & Chen, Yu, 2019. "Will economic infrastructure development affect the energy intensity of China's manufacturing industry?," Energy Policy, Elsevier, vol. 132(C), pages 122-131.
    8. Lin, Boqiang & Chen, Yu, 2020. "Will land transport infrastructure affect the energy and carbon dioxide emissions performance of China’s manufacturing industry?," Applied Energy, Elsevier, vol. 260(C).
    9. Le Gallic, Thomas & Assoumou, Edi & Maïzi, Nadia, 2017. "Future demand for energy services through a quantitative approach of lifestyles," Energy, Elsevier, vol. 141(C), pages 2613-2627.
    10. Barro, Robert J & Sala-i-Martin, Xavier, 1997. "Technological Diffusion, Convergence, and Growth," Journal of Economic Growth, Springer, vol. 2(1), pages 1-26, March.
    11. Sudhakara Reddy, B. & Kumar Ray, Binay, 2011. "Understanding industrial energy use: Physical energy intensity changes in Indian manufacturing sector," Energy Policy, Elsevier, vol. 39(11), pages 7234-7243.
    12. Song, Malin & Zhu, Shuai & Wang, Jianlin & Zhao, Jiajia, 2020. "Share green growth: Regional evaluation of green output performance in China," International Journal of Production Economics, Elsevier, vol. 219(C), pages 152-163.
    13. Mukherjee, Kankana, 2008. "Energy use efficiency in U.S. manufacturing: A nonparametric analysis," Energy Economics, Elsevier, vol. 30(1), pages 76-96, January.
    14. Jin, Peizhen & Peng, Chong & Song, Malin, 2019. "Macroeconomic uncertainty, high-level innovation, and urban green development performance in China," China Economic Review, Elsevier, vol. 55(C), pages 1-18.
    15. Salah, Florian & Flath, Christoph M. & Schuller, Alexander & Will, Christian & Weinhardt, Christof, 2017. "Morphological analysis of energy services: Paving the way to quality differentiation in the power sector," Energy Policy, Elsevier, vol. 106(C), pages 614-624.
    16. Nolden, Colin & Sorrell, Steve & Polzin, Friedemann, 2016. "Catalysing the energy service market: The role of intermediaries," Energy Policy, Elsevier, vol. 98(C), pages 420-430.
    17. Zaman, Rafia & Brudermann, Thomas, 2018. "Energy governance in the context of energy service security: A qualitative assessment of the electricity system in Bangladesh," Applied Energy, Elsevier, vol. 223(C), pages 443-456.
    18. Mukherjee, Kankana, 2008. "Energy use efficiency in the Indian manufacturing sector: An interstate analysis," Energy Policy, Elsevier, vol. 36(2), pages 662-672, February.
    19. Charles R. Hulten & Esra Bennathan & Sylaja Srinivasan, 2006. "Infrastructure, Externalities, and Economic Development: A Study of the Indian Manufacturing Industry," The World Bank Economic Review, World Bank, vol. 20(2), pages 291-308.
    20. Ju, Keyi & Su, Bin & Zhou, Dequn & Wu, Junmin, 2017. "Does energy-price regulation benefit China's economy and environment? Evidence from energy-price distortions," Energy Policy, Elsevier, vol. 105(C), pages 108-119.
    21. Kepplinger, D. & Templ, M. & Upadhyaya, S., 2013. "Analysis of energy intensity in manufacturing industry using mixed-effects models," Energy, Elsevier, vol. 59(C), pages 754-763.
    22. Achtymichuk, Daren S. & Checkel, M. David, 2010. "Investigating the Effects of Transportation Infrastructure Development on Energy Consumption and Emissions," 51st Annual Transportation Research Forum, Arlington, Virginia, March 11-13, 2010 207279, Transportation Research Forum.
    23. Kesicki, Fabian & Anandarajah, Gabrial, 2011. "The role of energy-service demand reduction in global climate change mitigation: Combining energy modelling and decomposition analysis," Energy Policy, Elsevier, vol. 39(11), pages 7224-7233.
    24. Karekezi, Stephen & Majoro, Lugard, 2002. "Improving modern energy services for Africa's urban poor," Energy Policy, Elsevier, vol. 30(11-12), pages 1015-1028, September.
    25. Raymond W. Goldsmith, 1951. "A Perpetual Inventory of National Wealth," NBER Chapters, in: Studies in Income and Wealth, Volume 14, pages 5-73, National Bureau of Economic Research, Inc.
    26. Chowdhury, Jahedul Islam & Hu, Yukun & Haltas, Ismail & Balta-Ozkan, Nazmiye & Matthew, George Jr. & Varga, Liz, 2018. "Reducing industrial energy demand in the UK: A review of energy efficiency technologies and energy saving potential in selected sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 1153-1178.
    27. Pradhan, Rudra P. & Bagchi, Tapan P., 2013. "Effect of transportation infrastructure on economic growth in India: The VECM approach," Research in Transportation Economics, Elsevier, vol. 38(1), pages 139-148.
    28. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    29. Hang, Leiming & Tu, Meizeng, 2007. "The impacts of energy prices on energy intensity: Evidence from China," Energy Policy, Elsevier, vol. 35(5), pages 2978-2988, May.
    30. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    31. Andersen, Kristoffer S. & Termansen, Lars B. & Gargiulo, Maurizio & Ó Gallachóirc, Brian P., 2019. "Bridging the gap using energy services: Demonstrating a novel framework for soft linking top-down and bottom-up models," Energy, Elsevier, vol. 169(C), pages 277-293.
    32. Tan, Ruipeng & Liu, Kui & Lin, Boqiang, 2018. "Transportation infrastructure development and China’s energy intensive industries - A road development perspective," Energy, Elsevier, vol. 149(C), pages 587-596.
    33. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    34. Conference on Research in Income and Wealth, 1951. "Studies in Income and Wealth, Volume 14," NBER Books, National Bureau of Economic Research, Inc, number unkn51-2, March.
    35. Farhadi, Minoo, 2015. "Transport infrastructure and long-run economic growth in OECD countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 73-90.
    36. Lin, Boqiang & Moubarak, Mohamed, 2014. "Estimation of energy saving potential in China's paper industry," Energy, Elsevier, vol. 65(C), pages 182-189.
    37. Zhao, Yue & Ke, Jing & Ni, Chun Chun & McNeil, Michael & Khanna, Nina Zheng & Zhou, Nan & Fridley, David & Li, Qiqiang, 2014. "A comparative study of energy consumption and efficiency of Japanese and Chinese manufacturing industry," Energy Policy, Elsevier, vol. 70(C), pages 45-56.
    38. Morrison, Catherine J & Schwartz, Amy Ellen, 1996. "State Infrastructure and Productive Performance," American Economic Review, American Economic Association, vol. 86(5), pages 1095-1111, December.
    39. Joel Alejandro Rosado & Mar a Isabel Alvarado S nchez, 2017. "The Influence of Economic Growth and Electric Consumption on Pollution in South America Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 121-126.
    40. Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    41. Masahisa Fujita & Jacques‐François Thisse, 2003. "Does Geographical Agglomeration Foster Economic Growth? And Who Gains and Loses from It?," The Japanese Economic Review, Japanese Economic Association, vol. 54(2), pages 121-145, June.
    42. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    43. Rati Ram, 2016. "PPP GDP Per Capita for Countries of the World: A Comparison of the New ICP Results with World Bank Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 1057-1066, July.
    44. Lin, Boqiang & Du, Kerui, 2015. "Measuring energy rebound effect in the Chinese economy: An economic accounting approach," Energy Economics, Elsevier, vol. 50(C), pages 96-104.
    45. Parker, Steven & Liddle, Brantley, 2016. "Energy efficiency in the manufacturing sector of the OECD: Analysis of price elasticities," Energy Economics, Elsevier, vol. 58(C), pages 38-45.
    46. Garrone, Paola & Grilli, Luca, 2010. "Is there a relationship between public expenditures in energy R&D and carbon emissions per GDP? An empirical investigation," Energy Policy, Elsevier, vol. 38(10), pages 5600-5613, October.
    47. Morley, Janine, 2018. "Rethinking energy services: The concept of ‘meta-service’ and implications for demand reduction and servicizing policy," Energy Policy, Elsevier, vol. 122(C), pages 563-569.
    48. Shakya, Bhupendra & Bruce, Anna & MacGill, Iain, 2019. "Survey based characterisation of energy services for improved design and operation of standalone microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 493-503.
    49. Liu, Hongxun & Du, Kerui & Li, Jianglong, 2019. "An improved approach to estimate direct rebound effect by incorporating energy efficiency: A revisit of China's industrial energy demand," Energy Economics, Elsevier, vol. 80(C), pages 720-730.
    50. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    51. Ali M. Kutan & Sudharshan Reddy Paramati & Mallesh Ummalla & Abdulrasheed Zakari, 2018. "Financing Renewable Energy Projects in Major Emerging Market Economies: Evidence in the Perspective of Sustainable Economic Development," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(8), pages 1761-1777, June.
    52. Pérez, Karen & González-Araya, Marcela C. & Iriarte, Alfredo, 2017. "Energy and GHG emission efficiency in the Chilean manufacturing industry: Sectoral and regional analysis by DEA and Malmquist indexes," Energy Economics, Elsevier, vol. 66(C), pages 290-302.
    53. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    54. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
    55. Achour, Houda & Belloumi, Mounir, 2016. "Investigating the causal relationship between transport infrastructure, transport energy consumption and economic growth in Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 988-998.
    56. Miller, Stephen M. & Upadhyay, Mukti P., 2002. "Total factor productivity and the convergence hypothesis," Journal of Macroeconomics, Elsevier, vol. 24(2), pages 267-286, June.
    57. Fujimori, S. & Kainuma, M. & Masui, T. & Hasegawa, T. & Dai, H., 2014. "The effectiveness of energy service demand reduction: A scenario analysis of global climate change mitigation," Energy Policy, Elsevier, vol. 75(C), pages 379-391.
    58. Reddy, B. Sudhakara, 2015. "Access to modern energy services: An economic and policy framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 198-212.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang, Zhenbing & Shi, Qingquan & Lv, Xiangqiu & Shi, Qi, 2022. "Heterogeneous low-carbon targets and energy structure optimization: Does stricter carbon regulation really matter?," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 329-343.
    2. Chen, Yu & Lin, Boqiang, 2021. "Understanding the green total factor energy efficiency gap between regional manufacturing—insight from infrastructure development," Energy, Elsevier, vol. 237(C).
    3. Kong, Dongmin & Xiong, Mengxu & Xiang, Junyi, 2021. "Terrorist attacks and energy firms' crash risk in stock markets: Evidence from China," Energy Economics, Elsevier, vol. 102(C).
    4. Huang, Guobin & Zhang, Jie & Yu, Jian & Shi, Xunpeng, 2020. "Impact of transportation infrastructure on industrial pollution in Chinese cities: A spatial econometric analysis," Energy Economics, Elsevier, vol. 92(C).
    5. Xinhai Lu & Jiao Hou & Yifeng Tang & Ting Wang & Tianyi Li & Xupeng Zhang, 2022. "Evaluating the Impact of the Highway Infrastructure Construction and the Threshold Effect on Cultivated Land Use Efficiency: Evidence from Chinese Provincial Panel Data," Land, MDPI, vol. 11(7), pages 1-20, July.
    6. Wanke, Peter & Chen, Zhongfei & Dong, Qichen & Antunes, Jorge, 2021. "Transportation Sustainability, Macroeconomics, and Endogeneity in China: A Hybrid Neural-Markowitz-Variable Reduction Approach," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    7. Qiujie Sun & Jingyu Zhou & Zhou Lan & Xiangyang Ma, 2023. "The Economic Influence of Energy Storage Construction in the Context of New Power Systems," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    8. Xiaole Wang & Feng Dong & Yuling Pan & Yajie Liu, 2022. "Transport Infrastructure, High-Quality Development and Industrial Pollution: Fresh Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-24, August.
    9. Tan, Ruipeng & Pan, Lulu & Xu, Mengmeng & He, Xinju, 2022. "Transportation infrastructure, economic agglomeration and non-linearities of green total factor productivity growth in China: Evidence from partially linear functional coefficient model," Transport Policy, Elsevier, vol. 129(C), pages 1-13.
    10. Peiwen Guo & Jun Fang & Ke Zhu, 2023. "The Spatial Spillover Effect and Function Routes of Transport Infrastructure Investment on Economic Growth: Evidence from Panel Data of OECD Members and Partners," Mathematics, MDPI, vol. 11(5), pages 1-26, February.
    11. Wang, You & Gong, Xu, 2022. "Analyzing the difference evolution of provincial energy consumption in China using the functional data analysis method," Energy Economics, Elsevier, vol. 105(C).
    12. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
    13. Wu, Yilin & Huang, Shilei, 2022. "The effects of digital finance and financial constraint on financial performance: Firm-level evidence from China's new energy enterprises," Energy Economics, Elsevier, vol. 112(C).
    14. Chen, Yu & Lin, Boqiang, 2021. "How does infrastructure affect energy services?," Energy, Elsevier, vol. 231(C).
    15. Yaqin Wang & Shengsheng Li & Yan Jiang, 2022. "Can Transportation Infrastructure Construction Improve the Urban Green Development Efficiency? Evidence from China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lin, Boqiang & Chen, Yu, 2020. "Will land transport infrastructure affect the energy and carbon dioxide emissions performance of China’s manufacturing industry?," Applied Energy, Elsevier, vol. 260(C).
    2. Chen, Yu & Lin, Boqiang, 2021. "How does infrastructure affect energy services?," Energy, Elsevier, vol. 231(C).
    3. Chen, Yu & Lin, Boqiang, 2021. "Understanding the green total factor energy efficiency gap between regional manufacturing—insight from infrastructure development," Energy, Elsevier, vol. 237(C).
    4. Lin, Boqiang & Chen, Yu, 2019. "Will economic infrastructure development affect the energy intensity of China's manufacturing industry?," Energy Policy, Elsevier, vol. 132(C), pages 122-131.
    5. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
    6. Yan, Zheming & Ouyang, Xiaoling & Du, Kerui, 2019. "Economy-wide estimates of energy rebound effect: Evidence from China's provinces," Energy Economics, Elsevier, vol. 83(C), pages 389-401.
    7. Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    8. Rongxin Wu & Boqiang Lin, 2022. "Does Energy Efficiency Realize Energy Conservation in the Iron and Steel Industry? A Perspective of Energy Rebound Effect," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
    9. Haider, Salman & Danish, Mohd Shadab & Sharma, Ruchi, 2019. "Assessing energy efficiency of Indian paper industry and influencing factors: A slack-based firm-level analysis," Energy Economics, Elsevier, vol. 81(C), pages 454-464.
    10. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    11. Xu, Mengmeng & Lin, Boqiang & Wang, Siquan, 2021. "Towards energy conservation by improving energy efficiency? Evidence from China’s metallurgical industry," Energy, Elsevier, vol. 216(C).
    12. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
    13. Kuang, Yunming & Lin, Boqiang, 2022. "Natural gas resource utilization, environmental policy and green economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    14. Tan, Ruipeng & Liu, Kui & Lin, Boqiang, 2018. "Transportation infrastructure development and China’s energy intensive industries - A road development perspective," Energy, Elsevier, vol. 149(C), pages 587-596.
    15. Fei, Rilong & Wang, Haolin & Wen, Zihao & Yuan, Zhen & Yuan, Kaihua & Chunga, Joseph, 2021. "Tracking factor substitution and the rebound effect of China’s agricultural energy consumption: A new research perspective from asymmetric response," Energy, Elsevier, vol. 216(C).
    16. Du, Zhili & Lin, Boqiang, 2019. "Changes in automobile energy consumption during urbanization: Evidence from 279 cities in China," Energy Policy, Elsevier, vol. 132(C), pages 309-317.
    17. Amjadi, Golnaz & Lundgren, Tommy, 2022. "Is industrial energy inefficiency transient or persistent? Evidence from Swedish manufacturing," Applied Energy, Elsevier, vol. 309(C).
    18. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    19. Zheming Yan & Rui Shi & Zhiming Yang, 2018. "ICT Development and Sustainable Energy Consumption: A Perspective of Energy Productivity," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    20. Jafari, Mahboubeh & Stern, David I. & Bruns, Stephan B., 2022. "How large is the economy-wide rebound effect in middle income countries? Evidence from Iran," Ecological Economics, Elsevier, vol. 193(C).

    More about this item

    Keywords

    Transportation infrastructure; China's manufacturing industry; Efficient energy services; Nonlinear characteristic; Convergence analysis; Panel threshold model;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:89:y:2020:i:c:s0140988320301493. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.