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

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

Management Dynamics in the Knowledge Economy
Volume 12 (2024): Issue 4 (December 2024)
By:
Open Access
|Dec 2024

References

  1. 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/10.1080/17565529.2011.628791">https://doi.org/10.1080/17565529.2011.628791
    Search in Google ScholarBack to article
  2. 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-12-2023-0175">https://doi.org/10.1108/AEDS-12-2023-0175
    Search in Google ScholarBack to article
  3. 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/10.1080/09535310903541751">https://doi.org/10.1080/09535310903541751
    Search in Google ScholarBack to article
  4. 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-2015-0032">https://doi.org/10.1515/foli-2015-0032
    Search in Google ScholarBack to article
  5. 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.0973.9548.18124.6">https://doi.org/10.21088/ijlis.0973.9548.18124.6
    Search in Google ScholarBack to article
  6. 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.2020.119946">https://doi.org/10.1016/j.techfore.2020.119946
    Search in Google ScholarBack to article
  7. 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.2022.04105">https://doi.org/10.37745/bjmas.2022.04105
    Search in Google ScholarBack to article
  8. 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.462">https://doi.org/10.1002/wcc.462
    Search in Google ScholarBack to article
  9. 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/s41467-022-32415">https://doi.org/10.1038/s41467-022-32415
    Search in Google ScholarBack to article
  10. 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/a170073">https://doi.org/10.1068/a170073
    Search in Google ScholarBack to article
  11. 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.2020.00093">https://doi.org/10.3389/fsufs.2020.00093
    Search in Google ScholarBack to article
  12. 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.2020.142587">https://doi.org/10.1016/j.scitotenv.2020.142587
    Search in Google ScholarBack to article
  13. 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/10.1080/09654313.2018.1562655">https://doi.org/10.1080/09654313.2018.1562655
    Search in Google ScholarBack to article
  14. 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.2010.02.029">https://doi.org/10.1016/j.enpol.2010.02.029
    Search in Google ScholarBack to article
  15. 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.2015.01.056">https://doi.org/10.1016/j.energy.2015.01.056
    Search in Google ScholarBack to article
  16. Davar, E. (2006). Input–output and general equilibrium. Economic Systems Research, 1(3), 331–344. https://doi.org/10.1080/09535318900000022">https://doi.org/10.1080/09535318900000022
    Search in Google ScholarBack to article
  17. 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.2018.03.062">https://doi.org/10.1016/j.jss.2018.03.062
    Search in Google ScholarBack to article
  18. 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.2019.104508">https://doi.org/10.1016/j.resconrec.2019.104508
    Search in Google ScholarBack to article
  19. 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.12303">https://doi.org/10.1111/jiec.12303
    Search in Google ScholarBack to article
  20. 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/s10668-023-03067-6">https://doi.org/10.1007/s10668-023-03067-6
    Search in Google ScholarBack to article
  21. 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.2012.02.025">https://doi.org/10.1016/j.ecolind.2012.02.025
    Search in Google ScholarBack to article
  22. Gennadievna, D. N. (2022). Shift-Share analysis: Review of spatial versions. Регионалистика, 9(5), 5-16. https://doi.org/10.14530/reg.2022.5.5">https://doi.org/10.14530/reg.2022.5.5
    Search in Google ScholarBack to article
  23. 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-z
    Search in Google ScholarBack to article
  24. 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/su13020839">https://doi.org/10.3390/su13020839
    Search in Google ScholarBack to article
  25. 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)">https://doi.org/10.1061/(asce)1076-0342(2001)7:1(1)
    Search in Google ScholarBack to article
  26. 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)">https://doi.org/10.1061/(ASCE)1076-0342(2005)11:2(67)
    Search in Google ScholarBack to article
  27. 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/s40008-015-0015-6">https://doi.org/10.1186/s40008-015-0015-6
    Search in Google ScholarBack to article
  28. 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.2015.09.068">https://doi.org/10.1016/j.rser.2015.09.068
    Search in Google ScholarBack to article
  29. 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.13264">https://doi.org/10.1111/jiec.13264
    Search in Google ScholarBack to article
  30. 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.42.75">https://doi.org/10.2334/josnusd.42.75
    Search in Google ScholarBack to article
  31. 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.2018.10.033">https://doi.org/10.1016/j.jclepro.2018.10.033
    Search in Google ScholarBack to article
  32. 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.v9i1.1434">https://doi.org/10.15353/rea.v9i1.1434
    Search in Google ScholarBack to article
  33. 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/s10640-020-00454-9">https://doi.org/10.1007/s10640-020-00454-9
    Search in Google ScholarBack to article
  34. 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.2023.118018">https://doi.org/10.1016/j.jenvman.2023.118018
    Search in Google ScholarBack to article
  35. 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.12771">https://doi.org/10.1111/jiec.12771
    Search in Google ScholarBack to article
  36. 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.2018.155">https://doi.org/10.1038/sdata.2018.155
    Search in Google ScholarBack to article
  37. 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/10.1080/09535310903541298">https://doi.org/10.1080/09535310903541298
    Search in Google ScholarBack to article
  38. 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.2022.04.042">https://doi.org/10.1016/j.jbusres.2022.04.042
    Search in Google ScholarBack to article
  39. 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/10.1162/1088198054084699">https://doi.org/10.1162/1088198054084699
    Search in Google ScholarBack to article
  40. 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.2014.12.029">https://doi.org/10.1016/j.enpol.2014.12.029
    Search in Google ScholarBack to article
  41. 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.v6i3.891">https://doi.org/10.51594/ijarss.v6i3.891
    Search in Google ScholarBack to article
  42. 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/10.1080/09535314.2016.1141751">https://doi.org/10.1080/09535314.2016.1141751
    Search in Google ScholarBack to article
  43. 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">https://doi.org/10.1080/09535314.2011.563234
    Search in Google ScholarBack to article
  44. 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.2018.02.021">https://doi.org/10.1016/j.ecolecon.2018.02.021
    Search in Google ScholarBack to article
  45. 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/10.1080/09535314.2011.574609">https://doi.org/10.1080/09535314.2011.574609
    Search in Google ScholarBack to article
  46. 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.2019.100391">https://doi.org/10.1016/j.esr.2019.100391
    Search in Google ScholarBack to article
  47. 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.2404.01985">https://doi.org/10.48550/arXiv.2404.01985
    Search in Google ScholarBack to article
  48. 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.251">https://doi.org/10.5334/jors.251
    Search in Google ScholarBack to article
  49. 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.jclep">https://doi.org/10.1016/j.jclep
    Search in Google ScholarBack to article
  50. 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.2014.08.001">https://doi.org/10.1016/j.joi.2014.08.001
    Search in Google ScholarBack to article
  51. 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.2020.01.057">https://doi.org/10.1016/j.ejor.2020.01.057
    Search in Google ScholarBack to article
  52. 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.2021.126782">https://doi.org/10.1016/j.jclepro.2021.126782
    Search in Google ScholarBack to article
  53. 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.2021.120805">https://doi.org/10.1016/j.techfore.2021.120805
    Search in Google ScholarBack to article
  54. 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.2022.02.128">https://doi.org/10.1016/j.renene.2022.02.128
    Search in Google ScholarBack to article
  55. 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.jclep">https://doi.org/10.1016/j.jclep
    Search in Google ScholarBack to article
  56. 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-y">https://doi.org/10.1186/s40008-018-0118-y
    Search in Google ScholarBack to article
  57. 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/10.1080/09535314.2012.761596">https://doi.org/10.1080/09535314.2012.761596
    Search in Google ScholarBack to article
  58. 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.ecoleco">https://doi.org/10.1016/j.ecoleco
    Search in Google ScholarBack to article
  59. 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.2019.121178">https://doi.org/10.1016/j.physa.2019.121178
    Search in Google ScholarBack to article
  60. 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/en12152983">https://doi.org/10.3390/en12152983
    Search in Google ScholarBack to article
  61. 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.2014.02.006">https://doi.org/10.1016/j.ecolecon.2014.02.006
    Search in Google ScholarBack to article
  62. 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.2022.114680">https://doi.org/10.1016/j.jenvman.2022.114680
    Search in Google ScholarBack to article
  63. 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.2015.08.014">https://doi.org/10.1016/j.enpol.2015.08.014
    Search in Google ScholarBack to article
  64. 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.2017.03.007">https://doi.org/10.1016/j.eneco.2017.03.007
    Search in Google ScholarBack to article
DOI: https://doi.org/10.2478/mdke-2024-0019 | Journal eISSN: 2392-8042 | Journal ISSN: 2286-2668
Journal RSS Feed
Language: English
Page range: 321 - 341
Submitted on: Aug 9, 2024
Accepted on: Oct 25, 2024
Published on: Dec 20, 2024
Published by: Scoala Nationala de Studii Politice si Administrative
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
Multi-Regional Input-Output matrices,
MRIO,
bibliometric analysis,
embodied energy,
carbon pricing.
Related subjects:
Business and economics,
Political economics,
Macroeconomics,
Business management,
Business management, other,
Social sciences,
Sociology,
Labor, trade unions,
Sociology of economy, organizations, and industry

© 2024 Subhasinghe Manchanayake Appuhamilage Vishwanath Sandeepa Tennakoon, published by Scoala Nationala de Studii Politice si Administrative
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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