Spatial diffusion of the socio-economic effects from the deployment of energy technologies in Spain

REFERENCES

• Alsamawi, A., Murray, J., & Lenzen, M. (2014). The employment footprints of nations. Journal of Industrial Ecology, 18(1), 59–70. https://doi.org/10.1111/jiec.12104
   Web of Science ®Google Scholar
• Alsamawi, A., Murray, J., Lenzen, M., & Reyes, R. C. (2017). Trade in occupational safety and health: Tracing the embodied human and economic harm in labour along the global supply chain. Journal of Cleaner Production, 147, 187–196. https://doi.org/10.1016/j.jclepro.2016.12.110
   Web of Science ®Google Scholar
• Álvarez, G. C., Jara, R. M. J., Julián, J. R. R., & Bielsa, J. I. G. (2010). Study of the effects on employment of public aid to renewable energy sources. Revista Procesos De Mercado, 13–70. https://doi.org/10.52195/pm.v7i1.280
   Google Scholar
• Andini, C., Cabral, R., & Santos, J. E. (2019). The macroeconomic impact of renewable electricity power generation projects. Renewable Energy, 131, 1047–1059. https://doi.org/10.1016/j.renene.2018.07.097
   Web of Science ®Google Scholar
• Bailey, N., Holly, S., & Pesaran, M. H. (2016). A two-stage approach to spatio-temporal analysis with strong and weak cross-sectional dependence. Journal of Applied Econometrics, 31(1), 249–280. https://doi.org/10.1002/jae.2468
   Web of Science ®Google Scholar
• Beenstock, M., Felsentein, D., & Xieer, D. (2018). Spatial econometric analysis of spatial general equilibrium. Spatial Economic Analysis, 13(3), 356–378. https://doi.org/10.1080/17421772.2018.140365
   Web of Science ®Google Scholar
• Bhattacharjee, A., & Holly, S. (2011). Structural interactions in spatial panels. Empirical Economics, 40(1), 69–94. https://doi.org/10.1007/s00181-010-0396-1
   Web of Science ®Google Scholar
• Bowen, A. (2012). ‘Green’ growth, ‘green’ jobs and labor markets. The World Bank. https://doi.org/10.1596/1813-9450-5990
   Google Scholar
• Cabal, H., Lechón, Y., Caldés, N., de la Rúa, C., García-Gusano, D., López-Bernabé, E., López-Dóriga, I., & Santamaría, M. (2015). Ex post and prospective analyses of renewable policies in Spain. In G. Giannakidis, M. Labriet, B. Ó Gallachóir, & G. Tosato (Eds.), Informing energy and climate policies using energy systems models: Insights from scenario analysis increasing the evidence base (pp. 151–162). Springer International Publishing. https://doi.org/10.1007/978-3-319-16540-0_9
   Google Scholar
• Cai, M., Cusumano, N., Lorenzoni, A., & Pontoni, F. (2017). A comprehensive ex-post assessment of RES deployment in Italy: Jobs, value added and import leakages. Energy Policy, 110, 234–245. https://doi.org/10.1016/j.enpol.2017.08.013
   Web of Science ®Google Scholar
• Caldés, N., Varela, M., Santamaría, M., & Sáez, R. (2009). Economic impact of solar thermal electricity deployment in Spain. Energy Policy, 37(5), 1628–1636. https://doi.org/10.1016/j.enpol.2008.12.022
   Web of Science ®Google Scholar
• Cansino, J. M., Cardenete, M. A., González-Limón, J. M., & Román, R. (2014). The economic influence of photovoltaic technology on electricity generation: A CGE (computable general equilibrium) approach for the andalusian case. Energy, 73, 70–79. https://doi.org/10.1016/j.energy.2014.05.076
   Web of Science ®Google Scholar
• Çetin, M., & Eğrican, N. (2011). Employment impacts of solar energy in Turkey. Energy Policy, 39(11), 7184–7190. https://doi.org/10.1016/j.enpol.2011.08.039
   Web of Science ®Google Scholar
• COM. (2019). Communication on The European green deal [Text]. European Commission - European Commission. https://ec.europa.eu/info/publications/communication-european-green-deal_en.
   Google Scholar
• COM. (2021). Renewable energy directive [Text]. Energy - European Commission. https://ec.europa.eu/energy/topics/renewable-energy/renewable-energy-directive/overview_en.
   Google Scholar
• COM. (2023). Revised renewable energy directive EU/2023/2413. http://data.europa.eu/eli/dir/2023/2413/oj/eng.
   Google Scholar
• Corrado, L., & Fingleton, B. (2012). Where is the economics in spatial econometrics? Journal of Regional Science, 52(2), 210–239. https://doi.org/10.1111/j.1467-9787.2011.00726.x
   Web of Science ®Google Scholar
• del Río, P. (2017). Why does the combination of the European Union emissions trading scheme and a renewable energy target makes economic sense? Renewable and Sustainable Energy Reviews, 74, 824–834. https://doi.org/10.1016/j.rser.2017.01.122
   Web of Science ®Google Scholar
• del Río, P., & Burguillo, M. (2009). An empirical analysis of the impact of renewable energy deployment on local sustainability. Renewable and Sustainable Energy Reviews, 13(6), 1314–1325. https://doi.org/10.1016/j.rser.2008.08.001
   Web of Science ®Google Scholar
• del Río, P., & Cerdá, E. (2017). The missing link: The influence of instruments and design features on the interactions between climate and renewable electricity policies. Energy Research & Social Science, 33, 49–58. https://doi.org/10.1016/j.erss.2017.09.010
   Web of Science ®Google Scholar
• Elhorst, P., Abreu, M., Amaral, P., Bhattacharjee, A., Chasco, C., Corrado, L., Doran, J., Felsenstein, D., Fuerst, F., Gallo, J. L., McCann, P., Monastiriotis, V., Quatraro, F., Temursho, U., & Yu, J. (2020). Raising the bar (14). Spatial Economic Analysis, 15(1), 60–61. https://doi.org/10.1080/17421772.2020.1708574
   Web of Science ®Google Scholar
• Elhorst, P., Abreu, M., Amaral, P., Bhattacharjee, A., Corrado, L., Doran, J., Fuerst, F., Le Gallo, J., McCann, P., Monastiriotis, V., Quatraro, F., & Yu, J. (2019). Raising the bar (10). Spatial Economic Analysis, 14(1), 1–4. https://doi.org/10.1080/17421772.2019.1553658
   Web of Science ®Google Scholar
• Emili, S., & Galli, F. (2023). Spatial and cross-sectoral input spillover effects: The case of the Italian tourism industry. Journal of Productivity Analysis, 59(3), 243–258. https://doi.org/10.1007/s11123-023-00665-4
   PubMed Web of Science ®Google Scholar
• Ertur, C., & Musolesi, A. (2017). Weak and strong cross-sectional dependence: A panel data analysis of international technology diffusion. Journal of Applied Econometrics, 32(3), 477–503. https://doi.org/10.1002/jae.2538
   Web of Science ®Google Scholar
• EurObserv’ER. (2018). 17th annual overview barometer. EurObserv’ER. https://www.eurobserv-er.org/17th-annual-overview-barometer/
   Google Scholar
• Fingleton, B. (2003). European regional growth [Advances in Spatial Science]. Springer. https://econpapers.repec.org/bookchap/spradspsc/978-3-662-07136-6.htm
   Google Scholar
• Fragkos, P., & Paroussos, L. (2018). Employment creation in EU related to renewables expansion. Applied Energy, 230, 935–945. https://doi.org/10.1016/j.apenergy.2018.09.032
   Web of Science ®Google Scholar
• Fujimoto, T. (2019). Appropriate assumption on cross-hauling national input–output table regionalization. Spatial Economic Analysis, 14(1), 106–128. https://doi.org/10.1080/17421772.2018.1506151
   Web of Science ®Google Scholar
• García-Gusano, D., Garraín, D., & Dufour, J. (2017). Prospective life cycle assessment of the Spanish electricity production. Renewable and Sustainable Energy Reviews, 75, 21–34. https://doi.org/10.1016/j.rser.2016.10.045
   Web of Science ®Google Scholar
• García-Gusano, D., Istrate, I. R., & Iribarren, D. (2018). Life-cycle consequences of internalising socio-environmental externalities of power generation. Science of The Total Environment, 612, 386–391. https://doi.org/10.1016/j.scitotenv.2017.08.231
   PubMed Web of Science ®Google Scholar
• Halleck Vega, S., & Elhorst, J. P. (2016). A regional unemployment model simultaneously accounting for serial dynamics, spatial dependence and common factors. Regional Science and Urban Economics, 60(C), 85–95. https://doi.org/10.1016/j.regsciurbeco.2016.07.002
   Google Scholar
• Heinbach, K., Aretz, A., Hirschl, B., Prahl, A., & Salecki, S. (2014). Renewable energies and their impact on local value added and employment. Energy, Sustainability and Society, 4(1), 1. https://doi.org/10.1186/2192-0567-4-1
   Google Scholar
• Hienuki, S., Kudoh, Y., & Hondo, H. (2015). Life cycle employment effect of geothermal power generation using an extended input–output model: The case of Japan. Journal of Cleaner Production, 93, 203–212. https://doi.org/10.1016/j.jclepro.2015.01.008
   Web of Science ®Google Scholar
• Holland, D., & Cooke, S. C. (1992). Sources of structural change in the Washington economy: An input-output perspective. The Annals of Regional Science, 26(2), 155–170. https://doi.org/10.1007/BF02116367
   Web of Science ®Google Scholar
• Hondo, H., & Moriizumi, Y. (2017). Employment creation potential of renewable power generation technologies: A life cycle approach. Renewable and Sustainable Energy Reviews, 79, 128–136. https://doi.org/10.1016/j.rser.2017.05.039
   Web of Science ®Google Scholar
• IDAE. (1999). Plan de Fomento de las Energías Renovables en España. Resumen | Idae. https://www.idae.es/index.php/gl/publicaci%C3%B3ns/plan-de-fomento-de-las-energias-renovables-en-espana-resumen
   Google Scholar
• IDAE. (2010). Ministerio para la Transición Ecológica y el Reto Demográfico—Plan de Acción Nacional de Energías Renovables (PANER) 2011-2020. https://energia.gob.es/desarrollo/EnergiaRenovable/Paginas/paner.aspx
   Google Scholar
• IPCC. (2011). Renewable energy sources and climate change mitigation—IPCC. https://www.ipcc.ch/report/renewable-energy-sources-and-climate-change-mitigation/
   Google Scholar
• Kim, K., & Hewings, G. J. D. (2019). Bayesian estimation of labor demand by age: Theoretical consistency and an application to an input–output model. Economic Systems Research, 31(1), 44–69. https://doi.org/10.1080/09535314.2018.1427050
   Web of Science ®Google Scholar
• Kim, K., Kratena, K., & Hewings, G. J. D. (2015). The extended econometric input–output model with heterogeneous household demand system. Economic Systems Research, 27(2), 257–285. https://doi.org/10.1080/09535314.2014.991778
   Web of Science ®Google Scholar
• Kucukvar, M., Egilmez, G., & Tatari, O. (2014). Sustainability assessment of U.S. Final consumption and investments: Triple-bottom-line input–output analysis. Journal of Cleaner Production, 81, 234–243. https://doi.org/10.1016/j.jclepro.2014.06.033
   Web of Science ®Google Scholar
• Lambert, R. J., & Silva, P. P. (2012). The challenges of determining the employment effects of renewable energy. Renewable and Sustainable Energy Reviews, 16(7), 4667–4674. https://doi.org/10.1016/j.rser.2012.03.072
   Web of Science ®Google Scholar
• Lehr, U., Nitsch, J., Kratzat, M., Lutz, C., & Edler, D. (2008). Renewable energy and employment in Germany. Energy Policy, 36(1), 108–117. https://doi.org/10.1016/j.enpol.2007.09.004
   Web of Science ®Google Scholar
• Lenzen, M., Wood, R., & Wiedmann, T. (2010). Uncertainty analysis for multi-region input–output models – a case study of the Uk’s carbon footprint. Economic Systems Research, 22(1), 43–63. https://doi.org/10.1080/09535311003661226
   Web of Science ®Google Scholar
• LeSage, J. P., & Dominguez, M. (2012). The importance of modeling spatial spillovers in public choice analysis. Public Choice, 150(3), 525–545. https://doi.org/10.1007/s11127-010-9714-6
   Web of Science ®Google Scholar
• Llera Sastresa, E., Usón, A. A., Bribián, I. Z., & Scarpellini, S. (2010). Local impact of renewables on employment: Assessment methodology and case study. Renewable and Sustainable Energy Reviews, 14(2), 679–690. https://doi.org/10.1016/j.rser.2009.10.017
   Web of Science ®Google Scholar
• Markaki, M., Belegri-Roboli, A., Michaelides, P., Mirasgedis, S., & Lalas, D. P. (2013). The impact of clean energy investments on the Greek economy: An input–output analysis (2010–2020). Energy Policy, 57, 263–275. https://doi.org/10.1016/j.enpol.2013.01.047
   Web of Science ®Google Scholar
• Matumoto, N., & Hondo, H. (2011). Analysis on employment effects of the introduction of renewable energy technologies using an extended input-output table. Journal of the Japan Institute of Energy, 90(3), 258–267. https://doi.org/10.3775/jie.90.258
   Google Scholar
• Mbarek, M. B., Saidi, K., & Feki, R. (2018). How effective are renewable energy in addition of economic growth and curbing CO2 emissions in the long run? A panel data analysis for four Mediterranean countries. Journal of the Knowledge Economy, 9(3), 754–766. https://doi.org/10.1007/s13132-016-0365-9
   Web of Science ®Google Scholar
• Miller, R. E., & Blair, P. D. (2009, July). Input-Output analysis: Foundations and extensions. Cambridge Core; Cambridge University Press. https://doi.org/10.1017/CBO9780511626982
   Google Scholar
• MITECO. (2020). Ministerio para la Transición Ecológica y el Reto Demográfico. https://www.miteco.gob.es/es.html
   Google Scholar
• Mu, Y., Cai, W., Evans, S., Wang, C., & Roland-Holst, D. (2018). Employment impacts of renewable energy policies in China: A decomposition analysis based on a CGE modeling framework. Applied Energy, 210, 256–267. https://doi.org/10.1016/j.apenergy.2017.10.086
   Web of Science ®Google Scholar
• Niu, X., Ma, Z., Ma, W., Yang, J., & Mao, T. (2024). The spatial spillover effects and equity of carbon emissions of digital economy in China. Journal of Cleaner Production, 434, 139885. https://doi.org/10.1016/j.jclepro.2023.139885
   Web of Science ®Google Scholar
• Oliveira, C., Coelho, D., Pereira da Silva, P., & Antunes, C. H. (2013). How many jobs can the RES-E sectors generate in the Portuguese context? Renewable and Sustainable Energy Reviews, 21, 444–455. https://doi.org/10.1016/j.rser.2013.01.011
   Web of Science ®Google Scholar
• Oosterhaven, J. (2019). Rethinking input-output analysis: A spatial perspective. Springer International Publishing. https://doi.org/10.1007/978-3-030-33447-5
   Google Scholar
• Ortega, M., Río, P. d., Ruiz, P., & Thiel, C. (2015). Employment effects of renewable electricity deployment. A novel methodology. Energy, 91, 940–951. https://doi.org/10.1016/j.energy.2015.08.061
   Web of Science ®Google Scholar
• Ortega-Izquierdo, M., & Río, P. d. (2020). An analysis of the socioeconomic and environmental benefits of wind energy deployment in Europe. Renewable Energy, 160, 1067–1080. https://doi.org/10.1016/j.renene.2020.06.133
   Web of Science ®Google Scholar
• PNIEC. (2023). National energy & climate plan updated. https://energia.gob.es/es-es/Participacion/Paginas/DetalleParticipacionPublica.aspx?k = 607
   Google Scholar
• Proença, S., & Fortes, P. (2020). The social face of renewables: Econometric analysis of the relationship between renewables and employment. Energy Reports, 6, 581–586. https://doi.org/10.1016/j.egyr.2019.09.029
   Web of Science ®Google Scholar
• Ram, M., Aghahosseini, A., & Breyer, C. (2020). Job creation during the global energy transition towards 100% renewable power system by 2050. Technological Forecasting and Social Change, 151, 119682. https://doi.org/10.1016/j.techfore.2019.06.008
   Web of Science ®Google Scholar
• Ramos, C., García, A. S., Moreno, B., & Díaz, G. (2019). Small-scale renewable power technologies are an alternative to reach a sustainable economic growth: Evidence from Spain. Energy, 167, 13–25. https://doi.org/10.1016/j.energy.2018.10.118
   Web of Science ®Google Scholar
• Simas, M. S., Golsteijn, L., Huijbregts, M. A. J., Wood, R., & Hertwich, E. G. (2014). The “bad labor” footprint: Quantifying the social impacts of globalization. Sustainability, 6(11), Article 11, 7514–7540. https://doi.org/10.3390/su6117514
   Web of Science ®Google Scholar
• Stram, B. N. (2016). Key challenges to expanding renewable energy. Energy Policy, 96, 728–734. https://doi.org/10.1016/j.enpol.2016.05.034
   Web of Science ®Google Scholar
• Tang, X., McLellan, B. C., Zhang, B., Snowden, S., & Höök, M. (2016). Trade-off analysis between embodied energy exports and employment creation in China. Journal of Cleaner Production, 134, 310–319. https://doi.org/10.1016/j.jclepro.2015.08.122
   Web of Science ®Google Scholar
• Tourkolias, C., & Mirasgedis, S. (2011). Quantification and monetization of employment benefits associated with renewable energy technologies in Greece. Renewable and Sustainable Energy Reviews, 15(6), 2876–2886. https://doi.org/10.1016/j.rser.2011.02.027
   Web of Science ®Google Scholar
• Varela-Vázquez, P., & Sánchez-Carreira, M. d. C. (2015). Socioeconomic impact of wind energy on peripheral regions. Renewable and Sustainable Energy Reviews, 50, 982–990. https://doi.org/10.1016/j.rser.2015.05.045
   Web of Science ®Google Scholar
• Wang, C., Zhang, W., Cai, W., & Xie, X. (2013). Employment impacts of CDM projects in China’s power sector. Energy Policy, 59, 481–491. https://doi.org/10.1016/j.enpol.2013.04.010
   Web of Science ®Google Scholar
• Wiedmann, T., & Lenzen, M. (2018). Environmental and social footprints of international trade. Nature Geoscience, 11(5), Article 5, 314–321. https://doi.org/10.1038/s41561-018-0113-9
   Web of Science ®Google Scholar