@book{MTMT:34486770, title = {Resolving the complexity puzzle: economic complexity and positions in global value chains jointly explain economic development}, url = {https://m2.mtmt.hu/api/publication/34486770}, author = {Sebestyén, Tamás and Braun, Erik and Elekes, Zoltán}, publisher = {Utrecht University}, unique-id = {34486770}, abstract = {It is now well established that complex economies with sophisticated export specialization ex- perience higher income and economic growth levels. A group of countries, including those in Central and Eastern Europe (CEE), have pursued a distinctive and arguably successful economic development strategy, focusing on foreign direct investment and embedding in global value chains (GVCs) in manufacturing. However, while these countries now appear to have a high degree of economic sophistication after considerable modernization, they also face significant challenges in catching up with more developed economies in terms of prosperity. In this paper, we propose that considering the coordination of local and non-local capabilities in the same theoretical framework and empirical application helps to resolve this apparent complexity puzzle. Using a panel dataset covering 67 territories and 45 sectors from 1995 to 2018, we first show that measuring countries’ economic complexity based on value-added trade adjusts the resulting country ranking and reduces the measured complexity gap favoring CEE countries. Second, we argue that value-added-based economic complexity needs to be complemented by measures of positions in GVCs to account for access to non-local capabilities. Our results from benchmark regression analyses show that economic complexity and positions in GVCs together offer improved predictive power for income and economic growth. Finally, we show that GVC positions in services are particularly important for economic development but that a related pattern of diversification, whereby CEE countries and factory economies more broadly strengthen their GVC positions in manufacturing activities, is likely to limit their future opportunities for functional upgrading and for achieving highly complex economic structures that would be rooted in local capabilities.}, year = {2024}, orcid-numbers = {Sebestyén, Tamás/0000-0002-5596-0151; Elekes, Zoltán/0000-0002-7437-5791} } @misc{MTMT:34485102, title = {Hogyan törjünk ki az alacsony fizetés csapdájából?}, url = {https://m2.mtmt.hu/api/publication/34485102}, author = {Elekes, Zoltán}, unique-id = {34485102}, year = {2023}, orcid-numbers = {Elekes, Zoltán/0000-0002-7437-5791} } @techreport{MTMT:34471106, title = {Job relatedness, local skill coherence and economic performance. A job postings approach}, url = {https://m2.mtmt.hu/api/publication/34471106}, author = {Henning, Martin and Eriksson, Rikard and Garefelt, Petrus and Martin, Hanna and Elekes, Zoltán}, unique-id = {34471106}, year = {2023}, orcid-numbers = {Elekes, Zoltán/0000-0002-7437-5791} } @article{MTMT:34090941, title = {Regional diversification and labour market upgrading. local access to skill-related high-income jobs helps workers escaping low-wage employment}, url = {https://m2.mtmt.hu/api/publication/34090941}, author = {Elekes, Zoltán and Baranowska-Rataj, A and Eriksson, R}, doi = {10.1093/cjres/rsad016}, journal-iso = {CAMB J REG ECON SOC}, journal = {CAMBRIDGE JOURNAL OF REGIONS ECONOMY AND SOCIETY}, volume = {16}, unique-id = {34090941}, issn = {1752-1378}, abstract = {This article investigates how the evolution of local labour market structure enables or constrains workers as regards escaping low-wage jobs. Drawing on the network-based approach of evolutionary economic geography, we employ a detailed individual-level panel dataset to construct skill-relatedness networks for 72 functional labour market regions in Sweden. Subsequent fixed-effect panel regressions indicate that increasing density of skill-related high-income jobs within a region is conducive to low-wage workers moving to better-paid jobs, hence facilitating labour market upgrading through diversification. While metropolitan regions offer a premium for this relationship, it also holds for smaller regions, and across various worker characteristics.}, year = {2023}, eissn = {1752-1386}, pages = {417-430}, orcid-numbers = {Elekes, Zoltán/0000-0002-7437-5791; Baranowska-Rataj, A/0000-0003-1260-5077; Eriksson, R/0000-0003-3570-7690} } @techreport{MTMT:34039919, title = {Regional diversification and labour market upgrading. Local access to skill-related high-income jobs helps workers escaping low-wage employment}, url = {https://m2.mtmt.hu/api/publication/34039919}, author = {Elekes, Zoltán and Baranowska-Rataj, A and Eriksson, R}, unique-id = {34039919}, year = {2023}, orcid-numbers = {Elekes, Zoltán/0000-0002-7437-5791} } @techreport{MTMT:33808770, title = {Robust labour-flow networks of industries make resilient regions}, url = {https://m2.mtmt.hu/api/publication/33808770}, author = {Elekes, Zoltán and Tóth, Gergő and Eriksson, R}, unique-id = {33808770}, year = {2023}, orcid-numbers = {Elekes, Zoltán/0000-0002-7437-5791} } @misc{MTMT:33645514, title = {Miért visel meg egyes régiókat jobban egy válság, míg másokat kevésbé? Íme egy magyarázat}, url = {https://m2.mtmt.hu/api/publication/33645514}, author = {Elekes, Zoltán and Tóth, Gergő}, unique-id = {33645514}, year = {2023}, orcid-numbers = {Elekes, Zoltán/0000-0002-7437-5791} } @article{MTMT:33282626, title = {Escaping from Low-Wage Employment. The Role of Co-worker Networks}, url = {https://m2.mtmt.hu/api/publication/33282626}, author = {Baranowska-Rataj, A and Elekes, Zoltán and Eriksson, R}, doi = {10.1016/j.rssm.2022.100747}, journal-iso = {RES SOC STRAT MOBIL}, journal = {RESEARCH IN SOCIAL STRATIFICATION AND MOBILITY}, volume = {83}, unique-id = {33282626}, issn = {0276-5624}, year = {2023}, eissn = {1878-5654}, orcid-numbers = {Elekes, Zoltán/0000-0002-7437-5791} } @{MTMT:33669662, title = {Who work in jobs suitable for teleworking?}, url = {https://m2.mtmt.hu/api/publication/33669662}, author = {Czaller, László and Elekes, Zoltán and Lengyel, Balázs}, booktitle = {The Hungarian Labour Market, 2020}, unique-id = {33669662}, year = {2022}, pages = {147-156}, orcid-numbers = {Elekes, Zoltán/0000-0002-7437-5791} } @{MTMT:33572194, title = {A munkaerőpiac méretének szerepe a munkanélküliek preferált foglalkozásokban való elhelyezkedésében}, url = {https://m2.mtmt.hu/api/publication/33572194}, author = {Samu, Flóra and Czaller, László and Tóth, Gergő and Elekes, Zoltán and Lengyel, Balázs}, booktitle = {Munkaerőpiaci tükör, 2021}, unique-id = {33572194}, year = {2022}, pages = {181-182}, orcid-numbers = {Elekes, Zoltán/0000-0002-7437-5791} }