Dr. Nickolaos G. Tzeremes

Professor of Microeconomic Analysis Nickolaos Tzeremes concentrates his research on production economics and on the modelling, analysis, and measurement of efficiency and productivity. He has been Visiting Professor at several leading UK universities, among them the University of Sussex, the University of Kent, Queen Mary University of London, and the University of Nottingham.
He has published more than one hundred articles in international journals. His work appears in premier outlets, including the Journal of Applied Econometrics, Research Policy, the European Journal of Operational Research, the British Journal of Management, OMEGA, the Journal of Productivity Analysis, Economics Letters, the International Journal of Operations & Production Management, the Journal of Banking & Finance, the International Journal of Production Research, the Journal of the Operational Research Society, and the Journal of International Money and Finance. As a recognized referee, he has received awards from the editors of the European Journal of Operational Research and the Journal of the Operational Research Society for his outstanding service to peer review.
Since 2017 he has been Associate Editor of Economic Modelling (Elsevier BV); since 2019 of the International Journal of Finance & Economics (John Wiley & Sons Ltd); since 2023 of Studies in Microeconomics (SAGE Publications Ltd); and since 2024 of both Economic Analysis and Policy (Elsevier BV) and the Journal of Economic Surveys (John Wiley & Sons Ltd). He has also served on the editorial board of Tourism Economics (SAGE Publications Ltd) since 2019.

Research Impact
His research has had measurable impact on economic policy. Major policy documents from the International Monetary Fund, the Organisation for Economic Co-operation and Development, the United Nations Environment Programme, and the European Commission have cited his findings when designing or evaluating interventions. Central-bank research departments, particularly those at the Federal Reserve Banks of St Louis and Dallas, have used his econometric studies of quantitative easing to judge the effectiveness and transmission of unconventional monetary measures.
An OECD study on how policy rates pass through to lending rates in Mexico relies on his work related to the ARDL software package written in the R programming language to carry out its econometric analysis. Incorporating this package into an official report highlights both his theoretical contributions and his role in developing analytical software that enhances the tools available to policymakers.
Beyond monetary issues, his research is pivotal in debates on productivity, innovation, and structural reform. Two VALTO reports for the Finnish Government draw on his estimates of production-possibility-boundary efficiency to recommend how capital and labour should be allocated and how business-sector dynamics can be improved. The Swedish Institute for Industrial Economics (IFN) uses his order-m frontier efficiency study to examine the effects of competition on industrial performance. A UK Parliament briefing on meaningful ESG reporting for the net-zero agenda cites his analysis linking corporate social responsibility and innovation capacity, demonstrating that responsible governance can foster innovation. The Joint Research Centre of the European Commission and the Publications Office of the EU reference his work on bank-productivity convergence when assessing artificial intelligence and fintech contributions to total factor productivity.
His influence also reaches sustainability and environmental governance. UNEP’s Inclusive Wealth Report 2023 integrates his eco-efficiency framework to connect corporate practices with national wealth and the Sustainable Development Goals. The World Resources Institute adopted his non-parametric scenario model in long-term energy planning for the Indian state of Tamil Nadu. In addition, the CESifo Institute and the European Economic and Social Committee have relied on his studies of transparency and governance quality to explain spatial variations in environmental performance.