Publications.

Savin I. King L.C. and J. van den Bergh, Analysing content of Paris climate pledges with computational linguistics, Nature Sustainability 8: 297–306 https://dx.doi.org/10.1038/s41893-024-01504-6

 

Savin I. and J. van den Bergh, 2024, Reviewing studies of degrowth: Are claims matched by data, methods and policy analysis? Ecological Economics 226:108324 https://doi.org/10.1016/j.ecolecon.2024.108324

 

Salekpay F. , J. van den Bergh and I. Savin, 2024, Comparing advice on climate policy between academic experts and ChatGPT, Ecological Economics 226:108352 https://doi.org/10.1016/j.ecolecon.2024.108352

 

Patino-Artaza H, King L.C., and I. Savin, 2024, Did COVID-19 really change our lifestyles? Evidence from transport energy consumption in Europe, Energy Policy 191:114204 https://doi.org/10.1016/j.enpol.2024.114204

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Savin I., S. Drews and J. van den Bergh, 2024, Carbon Pricing – Strengths, Weaknesses and Knowledge Gaps according to a Global Survey, Environmental Research Letters, 19 024014 https://doi.org/10.1088/1748-9326/ad1c1c

 

Foramitti J., Savin I. and van den Bergh J., 2024, How carbon pricing affects human needs: An agent-based model analysis, Ecological Economics, 217:108070 https://doi.org/10.1016/j.ecolecon.2023.108070

 

Drews S., Savin I. and J. van den Bergh, 2024, A Global Survey of Scientific Consensus and Controversy on Climate Policy, Ecological Economics, 218: 108098 https://doi.org/10.1016/j.ecolecon.2023.108098  

 

Torren Peraire D., Savin I. and J. van den Bergh, 2024, An agent-based model of cultural change for a low-carbon transition, Journal of Artificial Societies and Social Simulation, 27(1):13 https://www.jasss.org/27/1/13.html

 

Mestre Garcia C., Savin I. and J. van den Bergh, 2024, The nexus of COVID-19 and climate change: a literature review, Journal of Economics and Statistics, forthcoming https://doi.org/10.1515/jbnst-2023-0048

 

Drapkin I, I. Savin and I. Zverev, 2024, Revisiting the effect of hosting large-scale sport events on international tourist inflows, Journal of Sports Economics, 25(1): 98-125 https://doi.org/10.1177/15270025231206393 

 

Savin I., 2023, Evolution and recombination of topics in Technological Forecasting and Social Change, Technological Forecasting and Social Change 194: 122723 https://doi.org/10.1016/j.techfore.2023.122723

 

King L.C., Savin I. and S. Drews, 2023, Shades of green growth skepticism among climate policy researchers, Nature Sustainability 6, 1316–1320, https://doi.org/10.1038/s41893-023-01198-2

 

van den Bergh J. and I. Savin, 2023, The Role of Interest in the Unsustainability of Growth: Analytical Findings Using an Accounting Model, Sustainability: Science, Practice, and Policy, 19(1): 2262830 https://doi.org/10.1080/15487733.2023.2262830

 

Mundt P., Savin I., Cantner U., Inoue H. and S. Vannuccini, 2023, Peer Effects in Productivity and Differential Growth: A Global Value-Chain Perspective, Industrial and Corporate Change, https://doi.org/10.1093/icc/dtad022

 

van den Bergh J. and I. Savin, 2023, Political leadership, climate policy and renewable energy, Proceedings of the National Academy of Sciences, 120 (14) e2301291120 https://doi.org/10.1073/pnas.2301291120

 

Savin I. F. Creutzig, T. Filatova, J. Foramitti, T. Konc, L. Niamir, K. Safarzynska and J. van den Bergh, 2023, Agent-based modeling to integrate elements from different disciplines for ambitious climate policy, WIREs Climate Change 14(2): e811  https://doi.org/10.1002/wcc.811

 

Savin I. and M. Novitskaya, 2023, Data-driven definitions of gazelle companies that rule out chance: Application for Russia and Spain, Eurasian Business Review, forthcoming https://doi.org/10.1007/s40821-023-00239-2

 

Savin I., Chukavina K., Pushkarev A., 2023, Topic-based classification and identification of global trends for startup companies, Small Business Economics, 60: 659–689 https://doi.org/10.1007/s11187-022-00609-6 

 

Medase K. and I. Savin, 2023, Creativity, innovation and employment growth in sub-Saharan Africa, African Journal of Economic and Management Studies, https://doi.org/10.1108/AJEMS-02-2022-0074

 

Savin I. and P. Mundt, 2022, Drivers of productivity change in global value chains: reallocation vs. innovation, Economics Letters 220: 110878 https://doi.org/10.1016/j.econlet.2022.110878

 

Savin I. and J. van den Bergh, 2022, Tired of Climate Targets: Shift focus of “IPCC scenarios” from targets to policies, Annals of the New York Academy of Sciences, 1517(1):5-10 https://doi.org/10.1111/nyas.14900

 

Savin I. and N. Teplyakov, 2022, Topics of the nationwide phone-ins with Vladimir Putin and their role for public support and Russian economy, Information Processing & Management 59(5):103043 https://doi.org/10.1016/j.ipm.2022.103043

 

Drews S., Savin I., J. van den Bergh and S. Villamayor, 2022, Climate concern and policy acceptance before and after COVID-19, Ecological Economics 199:107507 https://doi.org/10.1016/j.ecolecon.2022.107507

 

Drews S., Savin I. and J. van den Bergh, 2022, Biased perceptions of other people’s attitudes to carbon taxation, Energy Policy 167:113051 https://doi.org/10.1016/j.enpol.2022.113051

 

Marson M. and I. Savin, 2022, Complementary or adverse? Comparing development results of foreign public funding from China and traditional donors in Africa, Structural Change and Economic Dynamics 62:189-206 https://doi.org/10.1016/j.strueco.2022.04.010

 

Savin I., Drews S., J. van den Bergh and S. Villamayor, 2022, Public expectations about the impact of COVID-19 on climate action by citizens and government, PLOS One 17 (6), e0266979 https://doi.org/10.1371/journal.pone.0266979

 

Konc T., Drews S., I. Savin and J. van den Bergh, 2022, Co-dynamics of climate policy stringency and public support, Global Environmental Change 74:102528 https://doi.org/10.1016/j.gloenvcha.2022.102528

 

Savin I., Ott I. and C. Konop, 2022, Tracing the evolution of service robotics: Insights from a topic modeling approach, Technological Forecasting and Social Change 174: 121280 https://doi.org/10.1016/j.techfore.2021.121280

 

Ayres R.U., Savin I., van den Bergh J., Hao L., 2022, Exergy versus Labor in Aggregate Production Functions: Estimates for Ten Large Economies, International Journal of Exergy, 38(3): https://doi.org/10.1504/IJEX.2022.10048873

 

Savin I. and N. Teplyakov, 2022, Insights on main research directions in Economy of Regions using methods from computational linguistics, Economy of Regions 18(2):338-352 https://doi.org/10.17059/ekon.reg.2022-2-3

 

Savin, I.V., Letyagin, D.K., 2022, Estimating the role of labor resources reallocation between sectors on the growth of aggregate labor productivity in the Russian economy, R-economy 8(1): 57–67 https://doi.org/10.15826/recon.2022.8.1.005 

 

Mestre-Andrés S., Drews S., Savin I. and J. van den Bergh, 2021, Carbon tax acceptability with information provision and revenue mixes, Nature Communications 12, 7017, https://doi.org/10.1038/s41467-021-27380-8

 

van den Bergh J. and I. Savin, 2021, Impact of carbon pricing on low-carbon innovation and deep decarbonisation: A more positive assessment, Environmental and Resource Economics 80: 705–715 https://doi.org/10.1007/s10640-021-00594-6

 

Foramitti J., Savin I. and van den Bergh J., 2021, Regulation at the source? Comparing upstream and downstream climate policies, Technological Forecasting and Social Change 172:121060 https://doi.org/10.1016/j.techfore.2021.121060

 

Savin I. and J. van den Bergh, 2021, Main topics in EIST during its first decade: A computational-linguistic analysis, Environmental Innovation and Societal Transition, 41:10-17, https://doi.org/10.1016/j.eist.2021.06.006

 

Savin I., Drews S. and J. van den Bergh, 2021, GEM: A short “Growth-vs-Environment" Module for survey research, Ecological Economics 187: 107092 https://doi.org/10.1016/j.ecolecon.2021.107092

 

Klein F., Drews S., I. Savin and J. van den Bergh, 2021, Time-use analysis of work patterns, leisure activities and resulting energy use for Finland and France, Energy Research & Social Science 76:102054 https://doi.org/10.1016/j.erss.2021.102054

 

van den Bergh J., Castro J., Drews S., Exadaktylos F., Foramitti J., Klein F., T.  Konc and Savin I., 2021, Designing an Effective Climate-Policy Mix: Accounting for Instrument Synergy, Climate Policy 21(6):745-764, https://doi.org/10.1080/14693062.2021.1907276

 

Wang N., Xiao M. and I. Savin, 2021, Complementarity Effect in the Innovation Strategy: Internal R&D and Acquisition of Capital with Embodied Technology, Journal of Technology Transfer 46:459–482 https://doi.org/10.1007/s10961-020-09780-y

 

Sarto i Monteys V., Costa Ribes A. and I. Savin, 2021, The invasive longhorn beetle Xylotrechus chinensis, pest of mulberries, in Europe: study on its local spread and efficacy of abamectin control, PLOS One 16(1): e0245527 https://doi.org/10.1371/journal.pone.0245527

 

Savin I., 2021, On optimal regimes of knowledge exchange: A model of recombinant growth and firm networks, Journal of Economic Interaction and Coordination 16(3): 497-527 https://doi.org/10.1007/s11403-020-00314-1

 

Savin I., Drews S. and J. van den Bergh, 2021, Free associations of citizens and scientists with (green) economic growth: A computational linguistics analysis, Ecological Economics, 180: 106878, https://doi.org/10.1016/j.ecolecon.2020.106878

 

Foramitti J., Savin I. and van den Bergh J., 2021, Emission tax vs. permit trading under bounded rationality and dynamic markets, Energy Policy 148(B):112009 https://doi.org/10.1016/j.enpol.2020.112009

 

Konc T., I. Savin and J. van den Bergh, 2021, The social multiplier of environmental policy: application to carbon taxation, Journal of Environmental Economics and Management, 105:102396 https://doi.org/10.1016/j.jeem.2020.102396

 

Savin I., 2020, Studying market selection in Russia and abroad: Measurement problems, national specificity and stimulating methods, Journal of the New Economic Association 48 (4):197-204 (In Russ.) DOI: 10.31737/2221-2264-2020-48-4-9

 

Devitsyn I. N., Savin I. V., 2020, Research Community Analytic Tool Based on Topic Modeling and Network Analysis. Russian Journal of Cybernetics 1(4):13–21. (In Russ.) DOI: 10.51790/2712-9942-2020-1-4-2.

 

Savin I.V., Mariev O.S., Pushkarev A.A., 2020, Measuring the strength of market selection in Russia: When the (firm) size matters. Voprosy Ekonomiki. 2020(2):101-124. (In Russ.) https://doi.org/10.32609/0042-8736-2020-2-101-124    

 

Mariev, O. S., Savin I. V. & Teplyakov, N. S., 2020, Modelling the Impact of Sanctions on Income Inequality of Population in the Target Countries. Economy of Regions: 16(2), 363-376 (In Russ.) http://doi.org/10.17059/2020-2-3   

 

Savin I., Drews S., Mestre-Andrés S. and J. van den Bergh, 2020, Public views on carbon taxation and its fairness: A computational-linguistics analysis, Climatic Change, 162: 2107–2138, https://doi.org/10.1007/s10584-020-02842-y

 

Savin I., Marson M. and M. Sutormina, 2020, How different aid flows affect different trade flows: Evidence from Africa and its largest donors, Structural Change and Economic Dynamics 55:119-136, https://doi.org/10.1016/j.strueco.2020.08.004

 

Castro J., Drews S., Exadaktylos F., Foramitti J., Klein F., Konc T., Savin I. and van den Bergh J., 2020, A Review of Agent-based Modelling of Climate-Energy Policy, WIREs Climate Change 11(4):e647 https://doi.org/10.1002/wcc.647

 

Blueschke D., I. Savin and V. Blueschke-Nikolaeva,  2020, An evolutionary approach to passive learning in optimal control problems, Computational Economics 56(3):659–673 https://doi.org/10.1007/s10614-019-09961-4

 

Delgado Castillo A., van den Bergh J., Savin I., V. Sarto i Monteys, 2020, Cost-benefit analysis of conservation policy: The red palm weevil in Catalonia, Spain, Ecological Economics, 167:106453 https://doi.org/10.1016/j.ecolecon.2019.106453

 

Savin I., Mariev O., Pushkarev A., 2019, Survival of the Fittest? Measuring the Strength of Market Selection on the Example of the Urals Federal District. HSE Economic Journal 23(1): 90-117 (In Russ.) https://doi.org/10.17323/1813-8691-2019-23-1-90-117  

 

Konc T. and I. Savin, 2019, Social reinforcement with weighted interactions, Physical Review E 100: 022305 https://doi.org/10.1103/PhysRevE.100.022305

 

van den Bergh J., I. Savin and S. Drews, 2019, Evolution of opinions in the growth-vs-environment debate: Extended replicator dynamics, Futures 109:84-100, https://doi.org/10.1016/j.futures.2019.02.024

 

Drews S., I. Savin and J. van den Bergh, 2019, Opinion Clusters in Academic and Public Debates on Growth-vs-Environment, Ecological Economics 157:141-155, https://doi.org/10.1016/j.ecolecon.2018.11.012

 

Cantner U., Savin I. and S. Vannuccini, 2019, Replicator dynamics in value chains: Explaining some puzzles of market selection, Industrial and Corporate Change 28(3): 589-611, https://doi.org/10.1093/icc/dty060

 

Meckl J. and I. Savin, 2018, Factor-biased technical change and specialization patterns, Central European Journal of Economic Modelling and Econometrics 10(2): 75-100, www.journals.pan.pl/Content/107675    

 

Savin I., Blueschke D. and Blueschke-Nikolaeva V., 2018, Slow and steady wins the race: approximating Nash equilibria in nonlinear quadratic tracking games, Journal of Economics and Statistics 238(6):541-570 https://doi.org/10.1515/jbnst-2017-0132

 

Korzinov V. and I. Savin, 2018, General Purpose Technologies as an Emergent Property, Technological Forecasting and Social Change 129: 88-104, https://doi.org/10.1016/j.techfore.2017.12.011

 

d’Andria D. and I. Savin, 2018, A Win-Win-Win? Motivating innovation in a knowledge economy with tax incentives, Technological Forecasting and Social Change 127:38-56, https://doi.org/10.1016/j.techfore.2017.05.030

 

Herrmann J.K. and I. Savin, 2017, Optimal Policy Identification: Insights from the German Electricity Market, Technological Forecasting and Social Change 122(C): 71-90, https://doi.org/10.1016/j.techfore.2017.04.014

 

Blueschke D. and I. Savin, 2017, No such thing as a perfect hammer: comparing different objective function specifications for optimal control, Central European Journal of Operations Research 25(2): 377-392, https://doi.org/10.1007/s10100-016-0446-7  

 

Savin I. and  D. Blueschke,  2016, Lost in translation: Explicitly solving nonlinear stochastic optimal control problems using the median objective value, Computational Economics 48(2): 317-338 https://doi.org/10.1007/s10614-015-9526-3 

 

Savin I. and A. Egbetokun,  2016, Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity, Journal of Economic Dynamics and Control 64: 82-103, https://doi.org/10.1016/j.jedc.2015.12.005

 

Marson M. and I. Savin,  2015, Ensuring sustainable access to drinking water in Sub Saharan Africa: Conflict between financial and social objectives, World Development 76:26-39, https://doi.org/10.1016/j.worlddev.2015.06.002

 

Egbetokun A. and I. Savin, 2014, Absorptive capacity and innovation: When is it better to cooperate? Journal of Evolutionary Economics 24(2):399-420, https://doi.org/10.1007/s00191-014-0344-x  

 

Blueschke D., Blueschke-Nikolaeva V. and I. Savin, 2013, New insights into optimal control of nonlinear dynamic econometric models: application of a heuristic approach, Journal of Economic Dynamics and Control 37(4): 821-837, https://doi.org/10.1016/j.jedc.2012.12.003

 

Savin I., 2013, A comparative study of the Lasso-type and heuristic model selection methods, Journal of Economics and Statistics, 233(4): 526-549, https://doi.org/10.1515/jbnst-2013-0406  

 

Savin I. and P. Winker, 2012, Heuristic model selection for leading indicators in Russia and Germany, Journal of Business Cycle Measurement and Analysis 2012/2, https://doi.org/10.1787/19952899  

 

Savin I. and P. Winker, 2012, Heuristic optimization methods for dynamic panel data model selection. Application on the Russian innovative performance, Computational Economics, 39(4): 337-363, https://doi.org/10.1007/s10614-010-9243-x 

 

Mariev, O., Savin, I. 2010, Factors of innovative activity in Russian regions: modeling and empirical analysis. Economy of Regions 1(3): 235–244 (In Russ.)

 

Savin I. and P. Winker, 2009, Forecasting Russian foreign trade comparative advantages in the context of a potential WTO accession, Central European Journal of Economic Modelling and Econometrics 1(2): 111-138, www.cejeme.com/publishedarticles/2009-19-11-633908963415312500-1763.pdf