IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/117654.html

The trilemma of innovation, logistics performance, and environmental quality in 25 topmost logistics countries: a quantile regression evidence

Author

Listed:
  • Magazzino, Cosimo
  • Alola, Andrew Adewale
  • Schneider, Nicolas

Abstract

While the deployment of technological innovation was able to avert a devastating global supply chain fallout arising from the impact of ravaging COronaVIrus Disease 19 (COVID-19) pandemic, little is known about potential environmental cost of such achievement. The aim of this paper is to identify the determinants of logistics performance and investigate its empirical linkages with economic and environmental indicators. We built a macro-level dataset for the top 25 ranked logistics countries from 2007 to 2018, conducting a set of panel data tests on cross-sectional dependence, stationarity and cointegration, to provide preliminary insights. Empirical estimates from Fully Modified Ordinary Least Squares (FMOLS), Generalized Method of Moments (GMM), and Quantile Regression (QR) model suggest that technological innovation, Human Development Index (HDI), urbanization, and trade openness significantly boost logistic performance, whereas employment and Gross Fixed Capital Formation (GFCF) fail to respond in such a desirable path. In turn, an increase in the Logistic Performance Index (LPI) is found to worsen economic growth. Finally, LPI exhibits a large positive effect on carbon emissions, which is congruent with a strand of the literature highlighting that the modern supply chain is far from being decarbonized. Thus, this evidence further suggest that more global efforts should be geared to attain a sustainable logistics.

Suggested Citation

  • Magazzino, Cosimo & Alola, Andrew Adewale & Schneider, Nicolas, 2021. "The trilemma of innovation, logistics performance, and environmental quality in 25 topmost logistics countries: a quantile regression evidence," LSE Research Online Documents on Economics 117654, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:117654
    as

    Download full text from publisher

    File URL: https://researchonline.lse.ac.uk/id/eprint/117654/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Luisa Mart𓐊Author-X-Name-First: Luisa & Leandro Garc𨀍, 2014. "The importance of the Logistics Performance Index in international trade," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2982-2992, August.
    2. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    3. Shahbaz, Muhammad & Nasreen, Samia & Ahmed, Khalid & Hammoudeh, Shawkat, 2017. "Trade openness–carbon emissions nexus: The importance of turning points of trade openness for country panels," Energy Economics, Elsevier, vol. 61(C), pages 221-232.
    4. Pengxia Bai & Qunqi Wu & Qian Li & Chenlei Xue & Lei Zhang & Zhihan Lv, 2021. "Mediating Effect of Organizational Learning Capacity on the Relationship between Relational Embeddedness and Innovation Performance in Freight Logistics Service," Complexity, Hindawi, vol. 2021, pages 1-18, April.
    5. Magazzino, Cosimo & Schneider, Nicolas, 2020. "The Causal Relationship between Primary Energy Consumption and Economic Growth in Israel: A Multivariate Approach," International Review of Environmental and Resource Economics, now publishers, vol. 14(4), pages 417-491, December.
    6. Salim, Ruhul & Yao, Yao & Chen, George S., 2017. "Does human capital matter for energy consumption in China?," Energy Economics, Elsevier, vol. 67(C), pages 49-59.
    7. Yao, Yao & Ivanovski, Kris & Inekwe, John & Smyth, Russell, 2019. "Human capital and energy consumption: Evidence from OECD countries," Energy Economics, Elsevier, vol. 84(C).
    8. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    9. Fang, Zheng & Chang, Youngho, 2016. "Energy, human capital and economic growth in Asia Pacific countries — Evidence from a panel cointegration and causality analysis," Energy Economics, Elsevier, vol. 56(C), pages 177-184.
    10. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2021. "A D2C algorithm on the natural gas consumption and economic growth: Challenges faced by Germany and Japan," Energy, Elsevier, vol. 219(C).
    11. Ziaul Haque Munim & Hans-Joachim Schramm, 2018. "The impacts of port infrastructure and logistics performance on economic growth: the mediating role of seaborne trade," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-19, December.
    12. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    13. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    14. Sbia, Rashid & Shahbaz, Muhammad & Hamdi, Helmi, 2014. "A contribution of foreign direct investment, clean energy, trade openness, carbon emissions and economic growth to energy demand in UAE," Economic Modelling, Elsevier, vol. 36(C), pages 191-197.
    15. Lin, Yichen & Wang, Yichuan & Yu, Chiahui, 2010. "Investigating the drivers of the innovation in channel integration and supply chain performance: A strategy orientated perspective," International Journal of Production Economics, Elsevier, vol. 127(2), pages 320-332, October.
    16. Goel, Rajeev K. & Saunoris, James W. & Goel, Srishti S., 2021. "Supply chain performance and economic growth: The impact of COVID-19 disruptions," Journal of Policy Modeling, Elsevier, vol. 43(2), pages 298-316.
    17. Norazah Mohd Suki & Norbayah Mohd Suki & Arshian Sharif & Sahar Afshan, 2021. "The role of logistics performance for sustainable development in top Asian countries: Evidence from advance panel estimations," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 595-606, July.
    18. Taiwo Temitope Lasisi & Kayode Kolawole Eluwole & Uju Violet Alola & Luigi Aldieri & Concetto Paolo Vinci & Andrew Adewale Alola, 2021. "Do Tourism Activities and Urbanization Drive Material Consumption in the OECD Countries? A Quantile Regression Approach," Sustainability, MDPI, vol. 13(14), pages 1-13, July.
    19. Zhang, Ning & Yu, Keren & Chen, Zhongfei, 2017. "How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis," Energy Policy, Elsevier, vol. 107(C), pages 678-687.
    20. Demir, Emrah & Bektaş, Tolga & Laporte, Gilbert, 2014. "A review of recent research on green road freight transportation," European Journal of Operational Research, Elsevier, vol. 237(3), pages 775-793.
    21. Mingxuan Lu & Ruhe Xie & Peirong Chen & Yifeng Zou & Jie Tang, 2019. "Green Transportation and Logistics Performance: An Improved Composite Index," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    22. Meade, Laura & Sarkis, Joseph, 1998. "Strategic analysis of logistics and supply chain management systems using the analytical network process," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 34(3), pages 201-215, September.
    23. Chantinee Boonchai & Robert J. S. Beeton, 2016. "Sustainable Development in the Asian Century: An Inquiry of Its Understanding in Phuket, Thailand," Sustainable Development, John Wiley & Sons, Ltd., vol. 24(2), pages 109-123, March.
    24. Forkenbrock, David J., 2001. "Comparison of external costs of rail and truck freight transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(4), pages 321-337, May.
    25. Frees, Edward W., 1995. "Assessing cross-sectional correlation in panel data," Journal of Econometrics, Elsevier, vol. 69(2), pages 393-414, October.
    26. Tang, Chor Foon & Abosedra, Salah, 2019. "Logistics performance, exports, and growth: Evidence from Asian economies," Research in Transportation Economics, Elsevier, vol. 78(C).
    27. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    28. K. Sharipbekova & Z. Raimbekov, 2018. "Influence of Logistics Efficiency on Economic Growth of the CIS Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 678-690.
    29. Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Environmental degradation and inclusive human development in sub‐Saharan Africa," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(1), pages 25-34, January.
    30. Barilla, David & Carlucci, Fabio & CirĂ , Andrea & Ioppolo, Giuseppe & Siviero, Lucio, 2020. "Total factor logistics productivity: A spatial approach to the Italian regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 205-222.
    31. Yongjun Li & Xiao Shi & Ali Emrouznejad & Liang Liang, 2018. "Environmental performance evaluation of Chinese industrial systems: a network SBM approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(6), pages 825-839, June.
    32. Zhang, Xing-Ping & Cheng, Xiao-Mei & Yuan, Jia-Hai & Gao, Xiao-Jun, 2011. "Total-factor energy efficiency in developing countries," Energy Policy, Elsevier, vol. 39(2), pages 644-650, February.
    33. Dekker, Rommert & Bloemhof, Jacqueline & Mallidis, Ioannis, 2012. "Operations Research for green logistics – An overview of aspects, issues, contributions and challenges," European Journal of Operational Research, Elsevier, vol. 219(3), pages 671-679.
    34. Paul D. Larson, 2021. "Relationships between Logistics Performance and Aspects of Sustainability: A Cross-Country Analysis," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    35. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    36. John Gunnar Carlsson & Siyuan Song, 2018. "Coordinated Logistics with a Truck and a Drone," Management Science, INFORMS, vol. 64(9), pages 4052-4069, September.
    37. Quariguasi Frota Neto, J. & Walther, G. & Bloemhof, J. & van Nunen, J.A.E.E. & Spengler, T., 2009. "A methodology for assessing eco-efficiency in logistics networks," European Journal of Operational Research, Elsevier, vol. 193(3), pages 670-682, March.
    38. Cosimo Magazzino & Marco Mele & Nicolas Schneider & Guillaume Vallet, 2020. "The relationship between nuclear energy consumption and economic growth: evidence from Switzerland," Post-Print halshs-02951860, HAL.
    39. Crainic, Teodor Gabriel, 2000. "Service network design in freight transportation," European Journal of Operational Research, Elsevier, vol. 122(2), pages 272-288, April.
    40. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2020. "The relationship between air pollution and COVID-19-related deaths: An application to three French cities," Applied Energy, Elsevier, vol. 279(C).
    41. Lan Xue & Lingfei Weng & Hanzhi Yu, 2018. "Addressing policy challenges in implementing Sustainable Development Goals through an adaptive governance approach: A view from transitional China," Sustainable Development, John Wiley & Sons, Ltd., vol. 26(2), pages 150-158, March.
    42. Yi-Chun Huang & Min-Li Yang, 2014. "Reverse logistics innovation, institutional pressures and performance," Management Research Review, Emerald Group Publishing Limited, vol. 37(7), pages 615-641, June.
    43. Dilay Çelebi, 2019. "The role of logistics performance in promoting trade," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(3), pages 307-323, September.
    44. Burawat Piyachat, 2017. "The relationships among resources’ commitment reverse logistics innovation reverse logistics performance and reverse logistics cost savings: Manufacturing vs service industry," Journal of Administrative and Business Studies, Professor Dr. Usman Raja, vol. 3(3), pages 122-135.
    45. Syed Abdul Rehman Khan & Yu Zhang & Anil Kumar & Edmundas Zavadskas & Dalia Streimikiene, 2020. "Measuring the impact of renewable energy, public health expenditure, logistics, and environmental performance on sustainable economic growth," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 833-843, July.
    46. Yi-Chun Huang & Min-Li Yang, 2014. "Reverse logistics innovation, institutional pressures and performance," Management Research Review, Emerald Group Publishing Limited, vol. 37(7), pages 615-641, June.
    47. Kaveh Azadeh & RenĂŠ De Koster & Debjit Roy, 2019. "Robotized and Automated Warehouse Systems: Review and Recent Developments," Transportation Science, INFORMS, vol. 53(4), pages 917-945, July.
    48. Ashkan Memari & Abd Rahman Abdul Rahim & Robiah Ahmad & Adnan Hassan, 2016. "A literature review on green supply chain modelling for optimising CO 2 emission," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 26(4), pages 509-525.
    49. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2021. "A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions," Renewable Energy, Elsevier, vol. 167(C), pages 99-115.
    50. Simplice A. Asongu & Jacinta C. Nwachukwu & Chris Pyke, 2019. "The Comparative Economics of ICT, Environmental Degradation and Inclusive Human Development in Sub-Saharan Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 1271-1297, June.
    51. Gunasekaran, Angappa & Subramanian, Nachiappan & Papadopoulos, Thanos, 2017. "Information technology for competitive advantage within logistics and supply chains: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 14-33.
    52. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
    Full references (including those not matched with items on IDEAS)

    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. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2022. "A new artificial neural networks algorithm to analyze the nexus among logistics performance, energy demand, and environmental degradation," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 315-328.
    2. Mukut Sikder & Chao Wang & Frederick Kwame Yeboah & Jacob Wood, 2024. "Driving factors of CO2 emission reduction in the logistics industry: an assessment of the RCEP and SAARC economies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(1), pages 2557-2587, January.
    3. Osarumwense Osabuohien-Irabor & Igor Mikhailovich Drapkin, 2022. "The Impact of Technological Innovation on Energy Consumption in OECD Economies: the role of Outward Foreign Direct Investment and International Trade Openness," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, vol. 12(4), pages 317-333, July.
    4. Muhammad Shafiullah & Luke Emeka Okafor & Usman Khalid, 2019. "Determinants of international tourism demand: Evidence from Australian states and territories," Tourism Economics, , vol. 25(2), pages 274-296, March.
    5. Opoku, Eric Evans Osei & Dogah, Kingsley E. & Aluko, Olufemi Adewale, 2022. "The contribution of human development towards environmental sustainability," Energy Economics, Elsevier, vol. 106(C).
    6. Clement Olalekan Olaniyi & Mamdouh Abdulaziz Saleh Al‐Faryan & Eyitayo Oyewunmi Ogbaro, 2025. "Do institutional quality and its threshold matter in the sensitivity of the renewable energy transition to financial development? New empirical perspectives," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 5-43, January.
    7. Naseer, Ahsan & Su, Chi-Wei & Mirza, Nawazish & Li, Jing-Ping, 2020. "Double jeopardy of resources and investment curse in South Asia: Is technology the only way out?," Resources Policy, Elsevier, vol. 68(C).
    8. Syed Abdul Rehman Khan & Zhang Yu & Muhammad Umar & Hafiz Muhammad Zia‐ul‐haq & Muhammad Tanveer & Laeeq Razzak Janjua, 2022. "Renewable energy and advanced logistical infrastructure: Carbon‐free economic development," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(4), pages 693-702, August.
    9. Frank Antwi & Yusheng Kong & Mary Donkor, 2024. "Greening African economies: Investigating the role of financial development, green investments, and institutional quality," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(5), pages 5659-5676, October.
    10. Muhammad Shafiullah & Vassilios G. Papavassiliou & Muhammad Shahbaz, 2021. "Is There an Extended Education-Based Environmental Kuznets Curve? An Analysis of U.S. States," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 795-819, December.
    11. Norazah Mohd Suki & Norbayah Mohd Suki & Arshian Sharif & Sahar Afshan, 2021. "The role of logistics performance for sustainable development in top Asian countries: Evidence from advance panel estimations," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 595-606, July.
    12. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    13. Cuicui Ding & Khatib Ahmad Khan & Hauwah K. K. AbdulKareem & Siddharth Kumar & Leon Moise Minani & Shujaat Abbas, 2024. "Towards a healthier future for the achievement of SDGs: unveiling the effects of agricultural financing, energy poverty, human capital, and corruption on malnutrition," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    14. Elvis D. Achuo & Pilag B.C. Kakeu & Simplice A. Asongu, 2023. "Financial development, human capital and energy transition: A global comparative analysis," Journal of Africa SEER Centre(ASC) 23/001, Africa SEER Centre(ASC).
    15. Hikmet Akyol & Selim Basar, 2024. "Empirical Analysis of Turkish Banking Sector Institutional and Macroeconomic Determinants of Risks," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(74-1), pages 59-98, June.
    16. Muhammad Sadiq & Syed Tauseef Hassan & Irfan Khan & Mohammad Mafizur Rahman, 2024. "Policy uncertainty, renewable energy, corruption and CO2 emissions nexus in BRICS-1 countries: a panel CS-ARDL approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 21595-21621, August.
    17. Yugang He & Ziqian Zhang, 2022. "Energy and Economic Effects of the COVID-19 Pandemic: Evidence from OECD Countries," Sustainability, MDPI, vol. 14(19), pages 1-13, September.
    18. Shazia Shaheen Shaikh & Nabila Amin & Muhammad Salman Shabbir & Huaming Song, 2025. "Going Green in ASEAN: Assessing the Role of Eco‐Innovation, Green Energy, Industrialization, and Environmental Taxes in Achieving Carbon Neutrality," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(3), pages 3596-3614, June.
    19. Salim, Ruhul & Yao, Yao & Chen, George S., 2017. "Does human capital matter for energy consumption in China?," Energy Economics, Elsevier, vol. 67(C), pages 49-59.
    20. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • N70 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - General, International, or Comparative

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ehl:lserod:117654. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .

    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.