Club Convergence in R&D Expenditure across European Regions

The increasing disparities between European regions constitute a great challenge for sustainable development and require identification of the factors responsible for this process. Given the substantive role of R&D in shaping innovativeness and economic development, understanding its dynamics and spatial patterns can provide new insights into regional growth prospects. Although prior studies have investigated the patterns of innovation convergence, apparently none has attempted to test the convergence club hypothesis in R&D expenditure in the European regional scope. Therefore, the present study aims to fill this gap. The paper aims at examining the convergence path of R&D expenditure across European regions and at identifying the factors conditioning club membership. Data were retrieved from Eurostat’s regional database and Regional Innovation Scoreboard datasets over 2008–2018. Employing a nonlinear time-varying factor model, we reveal that R&D expenditure in the examined regions follows the pattern of club convergence. The results of our research allow to identify five convergence clubs characterised by distinct disparities in the R&D expenditures. We also demonstrate that the emergence of the identified convergence clubs might be attributable to the initial differences in human capital, external knowledge embedded in patents and technological structures across regions as measured by employment in medium-high and high-tech manufacturing and knowledge-intensive services. These results provide policy implications in terms of the formulation and implementation of more tailored innovation policies, based on smart development and specialisation strategies. The presence of business R&D convergence clubs requires shifting EU policy actions towards a more sustainable model promoting both the advantages of the strongest regions and the development opportunities in less-developed ones.

Developments and convergence of real housing prices in Poland during the COVID-19 pandemic: focus on voivodeship capitals

The paper aims to present and assess the changes in real housing prices in Poland during the COVID-19 pandemic. We analyse transaction prices of residential premises in a multi-family housing (apartments) in the primary and secondary markets within 16 administrative capitals of voivodeships. We use quarterly data on House Prices Database collected by the National Bank of Poland and data on quarterly price indices of consumer goods and services from Statistics Poland. The research period covers the period 2018-2021, with distinction into COVID-19- and pre-COVID-19 periods. We observe the highest housing prices in Warszawa, Gdańsk, Kraków, and Wrocław, while the lowest in Zielona Góra and Kielce. Surprisingly, the growth rate in real housing prices in the pandemic sub-period is lower than in corresponding pre-COVID-19 period. In the COVID-19 sub-period, we observe the most significant increases in real estate prices in Zielona Góra and Szczecin in the primary market, and Kraków, Lublin, and Łódź in the secondary market. Additionally, we reveal the existence of regional price convergence in the housing market in analysed cities, both in primary and secondary markets. However, we do not observe a common price convergence, but only convergence clubs (city-groups) where the housing prices tend to converge in the COVID-19 sub-period.

Convergence in Green Growth as the Key to Fighting Climate Change, 1990–2019

The consequences of climate change are an important point of contention in the current policy debate on the sustainability of economic development and growth. Climate change contributes to many socio-economic disadvantages and risks. The primary objective of global policy 2050 is to fully understand the negative externalities of environmental change. Goal and methodology: the main goal of the study is to examine convergence to the steady green growth state for a sample of 130 countries from 1990 to 2019. Setting up an efficient and consistent policy to fight climate change demands empirical knowledge on green growth. Using log (t) test methodology, we investigate convergence in green growth indicators for selected samples based on available country data. Findings: our assumptions are: (1) economies are not motivated and eager to foster energy transition; instead, they accept it as a random policy goal and (2) economies want to foster energy transition, but they are limited by a significant trade-off factor pulling their efforts down. Convergence testing shows the existence of two significant convergence clubs, one with countries moving to energy transition and the second still promoting national output based on fossil fuels. The findings indicate future divergence between the two clubs and significant convergence within identified convergence clubs. Conclusions: the energy transition is moving forward at two-tier speed with green leaders and green follower clubs. Policymakers and practitioners must closely monitor the dynamics of green growth to assess the risk and uncertainties of climate change.

CONVERGENCE CLUBS OF NUTS3 REGIONS OF THE V4 GROUP

In this study, we analyse economic growth and structural change between 2000 and 2016 in the NUTS3 regions of the four countries forming the Visegrad Group (V4) and joining the European Union in 2004, Czechia, Poland, Hungary, and Slovakia. Our examination considers whether convergence can be observed in the case of the regions in the V4 countries over about one and a half decades, i.e., whether less developed regions catch up with more developed ones. Whether the economic growth of the regions took place at a relatively steady pace similar to that of the countries, or if there is a divide between the groups of regions (convergence clubs), which converge to different steady states. If there are convergence clubs, are the economic structure and workforce base of the clubs similar or different. Our study has two steps; first, we divide the 115 NUTS3 regions into convergence clubs with Phillips and Sul’s 2007 logt-test method, presenting the characteristics of their economic growth. We then conducted entropy calculations to test the robustness of the clubs, which provided information on the disparities inside and between the clubs, as well as inside and between the countries. Next, we present the economic structure and urbanrural types of clubs, covering the main characteristics of their labour force base and what factors the transition from one club to another depends on. The main conclusion of our study is that the five convergence clubs are completely separate and their economic structure and labour force base are also different.

Productivity Convergence and Divergence in Latin America, 1970-2014

The paper examines Latin American countries’ productivity growth levels and their convergence patterns utilizing nonparametric frontier approaches. Utilizing a sample of 17 Latin American countries for the period 1970-2014 it estimates various productivity indexes alongside with their main components. Moreover a convergence analysis is conducted estimating relative productivity convergence paths. The results suggest that over the period examined, countries’ productivity growth levels have contracted. We provide evidence that the implementation of the structural reforms of the 1990s do not appear to have driven Latin American countries to higher productivity levels. Moreover, the results do not render support to the productivity convergence hypothesis. On the other hand, some support was found for countries’ technological change levels, identifying three convergence clubs.

Club convergence and drivers of house prices across Turkish cities

PurposeThis paper aims to examine the convergence pattern of residential house prices in a panel of 55 major cities in Turkey over the period between 2010 and 2018 and to investigate the determinants of convergence club formations.Design/methodology/approachThe authors applied the log t-test to identify the convergence clubs and estimated ordered logit model to determine the key drivers.FindingsThe results suggest that there are five convergence clubs and confirm the heterogeneity of the Turkish housing market. Istanbul, the commercial capital, and Mugla, an attractive tourist destination, are at the top of the housing market and followed by the cities located in the western part, particularly along the Aegean and Mediterranean coasts of Turkey. Moreover, the ordered logit model results point out that the differences in employment rate, climate, population density and having a metropolitan municipality play a significant role in determining convergence club membership.Practical implicationsLarge-scale policy measures aiming to increase employment opportunities in rural cities of central and eastern provinces and providing lower land prices and property taxes in the metropolitan cities of Turkey can help mitigate some of the divergence in the house prices across cities.Originality/valueThe novelty of this study lies in employing a new data set at the city level containing 55 cities in Turkey, which is by far the largest in terms of city coverage among emerging market economies to implement the log t-test. It also contributes to the literature on city-specific determinants of convergence club formation in the case of an emerging economy.

Hotels’ occupancy rates and convergence: Empirical evidence from the first pandemic wave

The scope of this study is to unravel possible convergence clubs regarding the occupancy rates of the hotel industry in the US states in the aftermath of the first COVID-19 pandemic wave. For this reason, the underlying paper resorts to the application of the generic convergence algorithm developed in Phillips and Sul (2007) for a sample of 50 US states over the daily period ranging from 01.12.2019 to 26.07.2020. The empirical analysis supports the identification of two primary convergence clubs consisting of an equally distributed number of regions (states). However, the two clubs can be merged into one after the implementation of the Phillips and Sul (2009) methodology, revealing that the first pandemic wave has eliminated any distinct (economic) characteristic between the different US states. JEL codes:L10, L80, R10 .

Testing for Convergence in Competitiveness and Growth in Selected Economies from 1994 to 2020

Competitiveness on a small and large scale is necessary for growth. A definitive link between the level of competitiveness and growth has been difficult to prove. One of the primary objectives of economic planning is to promote price and exchange rate stability. Entrepreneurialism and productivity also increase the country’s export competitiveness. The aim of this study is to test for the convergence in competitiveness and convergence club existence in selected economies. No previous research had tested for convergence in competitiveness using a nonlinear timevarying factor model. This paper provides an overview on convergence in competitiveness and convergence clubs’ existence for 42 countries using quarterly data from 1994q1 to 2020q4 testing on competitiveness. Convergence log (t) test results show differences in competitiveness between classified convergence clubs. Russia, Brazil, and Turkey are the clubs (groups of countries) that show a transitional path (convergence in competitiveness) that differs entirely from the rest of the sample. Countries with more natural resources and exogenous monetary policies follow a unique development path to competitiveness. We find no evidence of divergence in countries within the clubs. However, we find a club (group of countries) following a clear divergence path from the other countries (Russia, Brazil, and Turkey). Our findings could potentially explain the increase in divergence in competitiveness across countries after the financial crisis of 2008.