Multi-Regional Input-Output Analysis (MRIO): Exploring Trends and Gaining Key Insights Through Bibliometric Analysis

Agrawala, S., Kramer, A. M., Richard, G. P., Sainsbury, M., & Schreitter, V. (2012). Incorporating climate change impacts and adaptation in environmental impact assessments: Opportunities and challenges. Climate and Development, 4(1), 26-39. https://doi.org/10.1080/17565529.2011.628791Search in Google Scholar

Amarathunga, B. (2024). Work integrated learning and trending areas for future studies: a systematic literature review and bibliometric analysis. Asian Education and Development Studies, 13(2), 97-116. https://doi.org/10.1108/AEDS-12-2023-0175Search in Google Scholar

Andrew, R., Peters, P. G., & Lennox, J. (2010). Approximation and regional aggregation in multi-regional input–output analysis for national carbon footprint accounting. Economic Systems Research, 21(3), 311–335. https://doi.org/10.1080/09535310903541751Search in Google Scholar

Antczak, E., & Gwarda, K. L. (2015). Analysis of emigration in Europe using the Spatial Dynamic Shift-Share method. Folia Oeconomica Stetinensia, 15(2), 7-26. https://doi.org/10.1515/foli-2015-0032Search in Google Scholar

Arya, R., Jaiswal, B., & Bisaria, G. (2024). Measuring and analyzing scholarly literature published on diabetes mellitus type 1 with special reference to bradford law of scattering and leimkuhler model: A scientometric study. Indian Journal of Library and Information Science, 18(1), 53–63. https://doi.org/10.21088/ijlis.0973.9548.18124.6Search in Google Scholar

Asada, R., Cardellini, G., Bauernfeind, C. M., Wenger, J., Haas, V., Holzer, D., & Stern, T. (2020). Effective bioeconomy? a MRIO-based socioeconomic and environmental impact assessment of generic sectoral innovations. Technological Forecasting and Social Change, 153, 119946-119946. https://doi.org/10.1016/j.techfore.2020.119946Search in Google Scholar

Aylmer, R., Aylmer, R., Aylmer, M., & Dias, M. (2024). Literature review on Multi-Regional Input-Output Matrices (EE-MRIO). British Journal of Multidisciplinary and Advanced Studies, 5(3), 53-73. https://doi.org/10.37745/bjmas.2022.04105Search in Google Scholar

Baranzini, A., Bergh, J. C., Carattini, S., Howarth, R. B., & Padilla, E. (2017). Carbon pricing in climate policy: seven reasons, complementary instruments, and political economy considerations. Wires Climate Change, 8(4), 1-17. https://doi.org/10.1002/wcc.462Search in Google Scholar

Basheer, M., Nechifor, V., Calzadilla, A., Ringler, C., Hulme, D., & Harou, J. J. (2022). Balancing national economic policy outcomes for sustainable development. Nature Communications, 13, 5041. https://doi.org/10.1038/s41467-022-32415Search in Google Scholar

Batey, P. (1985). Input-output models for regional demographic-economic analysis: Some structural comparisons. Environment & Planning, 17(1), 73–99. https://doi.org/10.1068/a170073Search in Google Scholar

Boylan, S. M., Thow, A. M., Tyedmers, E. K., Malik, A., Salem, J., Alders, R., Raubenheimer, D., & Lenzen, M. (2020). Using Input-Output analysis to measure healthy, sustainable food systems. Frontiers in Sustainable Food Systems, 4(93), 1-15. https://doi.org/10.3389/fsufs.2020.00093Search in Google Scholar

Cabernard, L., & Pfister, S. (2021). A highly resolved MRIO database for analyzing environmental footprints and Green Economy Progress. Science of The Total Environment, 755(1),142587–142587. https://doi.org/10.1016/j.scitotenv.2020.142587Search in Google Scholar

Chen, Z. (2019). Measuring the regional economic impacts of high-speed rail using a dynamic SCGE model: the case of China. European Planning Studies, 27(3), 483–512. https://doi.org/10.1080/09654313.2018.1562655Search in Google Scholar

Choi, J. K., Bakshi, B. R., & Haab, T. (2010). Effects of a carbon price in the U.S. on economic sectors, resource use, and emissions: An input–output approach. Energy Policy, 38(7), 3527-3536. https://doi.org/10.1016/j.enpol.2010.02.029Search in Google Scholar

Cui, L. B., Peng, P., & Zhu, L. (2015). Embodied energy, export policy adjustment and China’s sustainable development: A multi-regional input-output analysis. Energy, 82, 457-467. https://doi.org/10.1016/j.energy.2015.01.056Search in Google Scholar

Davar, E. (2006). Input–output and general equilibrium. Economic Systems Research, 1(3), 331–344. https://doi.org/10.1080/09535318900000022Search in Google Scholar

Desai, B. N., Veras, L. M., & Gosain, A. M. (2018). Using Bradford’s law of scattering to identify the core journals of pediatric surgery. Journal of Surgical Research, 229, 90-95. https://doi.org/10.1016/j.jss.2018.03.062Search in Google Scholar

Donati, F., Hernandez, G. A., Sánchez, C. P., Koning, A. d., Rodrigues, J. F., & Tukker, A. (2020). Modeling the circular economy in environmentally extended input-output tables: Methods, software and case study. Resources, Conservation and Recycling, 152, 104508-104508. https://doi.org/10.1016/j.resconrec.2019.104508Search in Google Scholar

Duchin, F., Levine, S. H., & Strømman, A. H. (2015). Combining Multiregional Input-Output Analysis with a world trade model for evaluating scenarios for sustainable use of global resources, Part I: Conceptual framework. Journal of Industrial Ecology, 20(4), 775-782. https://doi.org/10.1111/jiec.12303Search in Google Scholar

Ellili, N. O. (2024). Bibliometric analysis of sustainability papers: Evidence from environment, development and sustainability. Environment, Development and Sustainability, 26, 8183–8209. https://doi.org/10.1007/s10668-023-03067-6Search in Google Scholar

Ewing, B. R., Hawkins, T. R., Wiedmann, T. O., Galli, A., Ercin, A. E., Weinzettel, J., & Olsen, K. S. (2012). Integrating ecological and water footprint accounting in a multi-regional input–output framework. Ecological Indicators, 23, 1-8. https://doi.org/10.1016/j.ecolind.2012.02.025Search in Google Scholar

Gennadievna, D. N. (2022). Shift-Share analysis: Review of spatial versions. Регионалистика, 9(5), 5-16. https://doi.org/10.14530/reg.2022.5.5Search in Google Scholar

Gereffi, G., Lim, H. C., & Lee, J. (2021). Trade policies, firm strategies, and adaptive reconfigurations of global value chains. Journal of International Business Policy, 4, 506–522. https://link.springer.com/article/10.1057/s42214-021-00102-zSearch in Google Scholar

Göhlich, D., Nagel, K., Syré, A. M., Grahle, A., Martins-Turner, K., Ewert, R., Miranda Jahn, R., & Jefferies, D. (2021). Integrated approach for the assessment of strategies for the decarbonization of urban traffic. Sustainability, 13(2), 839. https://doi.org/10.3390/su13020839Search in Google Scholar

Haimes, Y. Y., & Jiang, P. (2001). Leontief-Based Model of Risk in complex interconnected infrastructures. Journal of Infrastructure Systems, 7(1), 1076-0342. https://doi.org/10.1061/(asce)1076-0342(2001)7:1(1)Search in Google Scholar

Haimes, Y. Y., Horowitz, B. M., Lambert, J. H., Santos, J. R., Lian, C., & Crowther, K. G. (2005). Inoperability Input-Output Model for interdependent infrastructure sectors. I: Theory and Methodology. Journal of Infrastructure Systems, 11(2), 67–79. https://doi.org/10.1061/(ASCE)1076-0342(2005)11:2(67)Search in Google Scholar

Hasegawa, R., Kagawa, S., & Tsukui, M. (2015). Carbon footprint analysis through constructing a multi-region input–output table: a case study of Japan. Journal of Economic Structures, 4(1). https://doi.org/10.1186/s40008-015-0015-6Search in Google Scholar

Hong, J., Shen, G. Q., Guo, S., Xue, F., & Zheng, W. (2016). Energy use embodied in China׳s construction industry: A multi-regional input–output analysis. Renewable and Sustainable Energy Reviews, 53, 1303-1312. https://doi.org/10.1016/j.rser.2015.09.068Search in Google Scholar

Huo, J., Chen, P., Hubacek, K., Zheng, H., Meng, J., & Guan, D. (2022). Full-scale, near real-time multi-regional input–output table for the global emerging economies (EMERGING). Journal of Industrial Ecology, 26(4), 1218-1232. https://doi.org/10.1111/jiec.13264Search in Google Scholar

Kawamura, M., Thomas, C. D., Tsurumoto, A., Sasahara, H., & Kawaguchi, Y. (2000). Lotka’s law and productivity index of authors in a scientific journal. Journal of Oral Science, 42(2), 75–78. https://doi.org/10.2334/josnusd.42.75Search in Google Scholar

Koberg, E., & Longoni, A. (2019). A systematic review of sustainable supply chain management in global supply chains. Journal of Cleaner Production, 207, 1084-1098. https://doi.org/10.1016/j.jclepro.2018.10.033Search in Google Scholar

Koop, G. (2017). Bayesian methods for empirical macroeconomics with big data. Review of Economic Analysis, 9(1), 33–56. https://doi.org/10.15353/rea.v9i1.1434Search in Google Scholar

Lahcen, B., Brusselaers, J., Vrancken, K., Dams, Y., Paes, C. D., Eyckmans, J., & Rousseau, S. (2020). Green recovery policies for the Covid-19 crisis: Modelling the impact on the economy and greenhouse gas emissions. Environmental and Resource Economics, 76, 731–750. https://doi.org/10.1007/s10640-020-00454-9Search in Google Scholar

Lorente, D. B., Murshed, M., & Nuta, F. M. (2023). Environmental impact of globalization: The case of central and Eastern European emerging economies. Journal of Environmental Management, 341(1), 118018. https://doi.org/10.1016/j.jenvman.2023.118018Search in Google Scholar

Malik, A., McBain, D., Wiedmann, T. O., Lenzen, M., & Murray, J. (2018). Advancements in Input-Output Models and indicators for consumption-based accounting. Journal of Industrial Ecology, 23(2), 300–312. https://doi.org/10.1111/jiec.12771Search in Google Scholar

Mi, Z., Meng, J., Zheng, H., Shan, Y., Wei, Y.-M., & Guan, D. (2018). A multi-regional input-output table mapping China’s economic outputs and interdependencies in 2012. Scientific Data, 5(1), 180155. https://doi.org/10.1038/sdata.2018.155Search in Google Scholar

Minx, J., Wiedmann, T., Wood, R., Peters, G., Lenzen, M., Owen, A., Scott, K., Barrett, J., Hubacek, K., Baiocchi, G., Paul, A., Dawkins, E., Briggs, J., Guan, D., Suh, S., & Ackerman, F. (2009). Input–output analysis and carbon footprinting: an overview of applications. Economic Systems Research, 21(3), 187-216. https://doi.org/10.1080/09535310903541298Search in Google Scholar

Mukherjee, D., Lim, W. M., Kumar, S., & Donthu, N. (2022). Guidelines for advancing theory and practice through bibliometric research. Journal of Business Research, 148, 101-105. https://doi.org/10.1016/j.jbusres.2022.04.042Search in Google Scholar

Munksgaard, J., Wier, M., Lenzen, M., & Dey, C. (2005). Using Input-Output Analysis to measure the environmental pressure of consumption at different spatial levels. Journal of Ecology, 9(1), 169–185. https://doi.org/10.1162/1088198054084699Search in Google Scholar

Okadera, T., Geng, Y., Fujita, T., Dong, H., Liu, Z., Yoshida, N., & Kanazawa, T. (2015). Evaluating the water footprint of the energy supply of Liaoning Province, China: A regional input–output analysis approach. Energy Policy, 78, 148-157. https://doi.org/10.1016/j.enpol.2014.12.029Search in Google Scholar

Okoli, S. E., Otonnah, C. A., Nwankwo, o. C., & Nwankwo, E. E. (2024). Review of carbon pricing mechanisms: Effectiveness and policy implications. International Journal of Applied Research in Social Sciences, 6(3), 337-347. https://doi.org/10.51594/ijarss.v6i3.891Search in Google Scholar

Olsen, K. S., Owen, A., Barrett, J., Guan, D., Hertwich, E. G., Lenzen, M., & Wiedmann, T. (2016). Accounting for value added embodied in trade and consumption: an intercomparison of global multiregional input–output databases. Economic Systems Research, 28(1), 78-94. https://doi.org/10.1080/09535314.2016.1141751Search in Google Scholar

Peters, G. P., Andrew, R., & Lennox, J. (2011). Constructing an environmentally-extended multi-regional input–output table using the GTAP database. Economic Systems Research, 23(2), 131–152. https://doi.org/10.1080/09535314.2011.563234 Search in Google Scholar

Piñero, P., Cazcarro, I., Arto, I., Mäenpää, I., Juutinen, A., & Pongrácz, E. (2018). Accounting for raw material embodied in imports by multi-regional input-output modelling and life cycle assessment, using finland as a study case. Ecological Economics, 152, 40-50. https://doi.org/10.1016/j.ecolecon.2018.02.021Search in Google Scholar

Sargento, A. L., Ramos, P. N., & Hewings, G. J. (2012). Inter-regional trade flow estimation through non-survey models: An empirical assessment. Economic Systems Research, 24(2), 173-193. https://doi.org/10.1080/09535314.2011.574609Search in Google Scholar

Siala, K., Rúa, C. d., Lechón, Y., & Hamacher, T. (2019). Towards a sustainable European energy system: Linking optimization models with multi-regional input-output analysis. Energy Strategy Reviews, 26, 100391-100391. https://doi.org/10.1016/j.esr.2019.100391Search in Google Scholar

Simard, M. A., Basson, I., Hare, M., Lariviere, V., & Mongeon, P. (2024). The open access coverage of OpenAlex, Scopus and Web of Science. Computer Science, 1-28. https://doi.org/10.48550/arXiv.2404.01985Search in Google Scholar

Stadler, K. (2021). Pymrio – A Python based multi-regional input-output analysis toolbox. Journal of Open Research Software, 9(1), 8. https://doi.org/10.5334/jors.251Search in Google Scholar

Su, B., Ang, B., & Liu, Y. (2021). Multi-region input-output analysis of embodied emissions and intensities: Spatial aggregation by linking regional and global datasets. Journal of Cleaner Production, 313, 127894. https://doi.org/10.1016/j.jclepSearch in Google Scholar

Thelwall, M., & Wilson, P. (2014). Distributions for cited articles from individual subjects and years. Journal of Informetrics, 8(4), 824-839. https://doi.org/10.1016/j.joi.2014.08.001Search in Google Scholar

Wang, H., Pan, C., Wang, Q., & Zhou, P. (2020). Assessing sustainability performance of global supply chains: An input-output modeling approach. European Journal of Operational Research, 285(1), 393-404. https://doi.org/10.1016/j.ejor.2020.01.057Search in Google Scholar

Wang, P., Li, Y., Huang, G., Wang, S., Suo, C., & Ma, Y. (2021). A multi-scenario factorial analysis and multi-regional input-output model for analyzing CO2 emission reduction path in Jing-Jin-Ji region. Journal of Cleaner Production, 300, 126782. https://doi.org/10.1016/j.jclepro.2021.126782Search in Google Scholar

Wang, Q., & Han, X. (2021). Is decoupling embodied carbon emissions from economic output in Sino-US trade possible? Technological Forecasting and Social Change, 169, 120805. https://doi.org/10.1016/j.techfore.2021.120805Search in Google Scholar

Wang, Q., Jiang, F., & Li, R. (2022). Assessing supply chain greenness from the perspective of embodied renewable energy – A data envelopment analysis using multi-regional input-output analysis. Renewable Energy, 189, 1292–1305. https://doi.org/10.1016/j.renene.2022.02.128Search in Google Scholar

Wang, X., Zhang, W., Li, Y., Tong, J., Yu, F., & Ye, Q. (2024). Impacts of water constraints on economic outputs and trade: A multi-regional input-output analysis in China. Journal of Cleaner Production, 434, 140345. https://doi.org/10.1016/j.jclepSearch in Google Scholar

Wiebe, K. S., Bjelle, E. L., Többen, J., & Wood, R. (2018). Implementing exogenous scenarios in a global MRIO model for the estimation of future environmental footprints. Journal of Economic Structures, 7, 20. https://doi.org/10.1186/s40008-018-0118-ySearch in Google Scholar

Wiedmann, T., & Barrett, J. (2013). Policy-relevant applications of environmentally extended mrio databases – experiences from the uk. Economic Systems Research, 25(1), 143-156. https://doi.org/10.1080/09535314.2012.761596Search in Google Scholar

Wiedmann, T., Wilting, H. C., Lenzen, M., Lutter, S., & Palm, V. (2011). Quo Vadis MRIO? Methodological, data and institutional requirements for multi-region input–output analysis. Ecological Economics, 70(11), 1937-1945. https://doi.org/10.1016/j.ecolecoSearch in Google Scholar

Xu, M., & Liang, S. (2019). Input–output networks offer new insights of economic structure. Physica A: Statistical Mechanics and its Applications, 527, 121178. https://doi.org/10.1016/j.physa.2019.121178Search in Google Scholar

Zapf, M., Pengg, H., & Weindl, C. (2019). How to comply with the Paris Agreement Temperature goal: Global carbon pricing according to carbon budgets. Energies, 12(15), 2983. https://doi.org/10.3390/en12152983Search in Google Scholar

Zhang, C., & Anadon, L. D. (2014). A multi-regional input–output analysis of domestic virtual water trade and provincial water footprint in China. Ecological Economics, 100, 159-172. https://doi.org/10.1016/j.ecolecon.2014.02.006Search in Google Scholar

Zhang, K., Lu, H., Tian, P., Guan, Y., Kang, Y., He, L., & Fan, X. (2022). Analysis of the relationship between water and energy in China based on a multi-regional input-output method. Journal of Environmental Management, 309, 114680. https://doi.org/10.1016/j.jenvman.2022.114680Search in Google Scholar

Zhang, Y., Zheng, H., Yang, Z., Su, M., Liu, G., & Li, Y. (2015). Multi-regional input–output model and ecological network analysis for regional embodied energy accounting in China. Energy Policy, 86, 651-663. https://doi.org/10.1016/j.enpol.2015.08.014Search in Google Scholar

Zhang, Z., Zhu, K., & Hewings, G. J. (2017). A multi-regional input–output analysis of the pollution haven hypothesis from the perspective of global production fragmentation. Energy Economics, 64, 13-23. https://doi.org/10.1016/j.eneco.2017.03.007Search in Google Scholar