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The main purpose of this paper is to examine the convergence hypothesis of House Price Index (HPI) in the case of 18 major Indian cities for the period 2014–2019.

To attain the authors main goal, this study applies a clustering algorithm advanced by Phillips and Sul. This test creates a club of convergence based on the growth of the cities in terms of HPI.

The study findings show the existence of two convergence clubs and one non-convergent group. Club 1 includes the cities with high HPI growth, whereas club 2 comprises of cities with least HPI growth. Cities belonging to the non-convergent group are neither converging nor diverging.

This study findings will benefit home buyers, sellers, investors, regulators and policymakers interested in the dynamic interlinkages of house price (HP) among Indian cities.

The majority of the studies are conducted in the case of China at the province or city levels. Furthermore, in the case of India, none of the studies has investigated the HP club convergence across Indian cities. Therefore, the present study fills this research gap by examining the HP club convergence across Indian cities.

EU countries, including those in Central and Eastern Europe, seem to have increasingly similar economies, allowing for the study of real convergence as a process of equalising income levels (measured by GDP per capita). Studies of income convergence in the European Union also have a regional dimension and often focus on convergence at the NUTS2 or NUTS3 regional level. The level of development and income in Polish regions differ significantly. The regional policy implemented at the national and EU level focuses on reducing these differences.

The main aim of the chapter is to analyse the income convergence process among regions in Poland and verify the effectiveness of regional policy implemented at the national and EU level.

The study uses Barro type regression for panel data, log t convergence test, and club clustering algorithm introduced by Phillips and Sul to identify patterns of club convergence in Polish regions. The data used for the study is the Local Data Bank provided by Statistics Poland, which includes gross domestic product per capita at the NUTS-3 level for 73 Polish regions over the period of 2000–2020.

The results of the study indicate a very weak convergence process for all Polish NUTS-3 regions and suggest a club convergence. The club convergence is characterised by regions with similar income levels clustering together. The regional distribution of clubs is similar to the regional distribution of income. The study's findings provide important insights into the effectiveness of regional policy in Poland and suggest that policymakers need to focus on policies that promote catch-up growth in less developed regions. The study also highlights the importance of supporting the most developed regions in the country as they can play a crucial role in driving the country's economic growth and prosperity.

This paper investigates income convergence using different convergence concepts and methodologies for 72 countries over the period between 1960 and 2010.

This study applies beta (β), sigma (s), stochastic and club convergence approaches. For β-convergence analysis, it derives the cross-country growth regressions of the Solow growth model under the basic and augmented Cobb–Douglass (CD) production functions and estimates them using cross-section and panel data estimators. While it employs both the widely used coefficient of variation and recently developed weak s-convergence approaches for s-convergence, it applies three different unit root tests for stochastic convergence. To test club convergence, it estimates the log-t regression.

The results reveal that (1) there exists conditional β-convergence, meaning that poorer countries grow faster than richer countries; (2) income per worker is not (weakly) s-converging, and cross-sectional variation does not tend to fall over the years; (3) stochastic convergence is not found and (4) countries in the sample do not converge to the unique equilibrium, and there exist five distinctive convergence clubs.

The results clearly show that heavily relying on one of the convergence techniques might lead researchers to obtain misleading results regarding the existence of convergence. Therefore, to draw reliable inferences, the results should be checked using different convergence concepts and methodologies.

Contrary to the previous literature, which is generally restricted to testing the existence of absolute and conditional β-convergence between countries, to the best of the author’s knowledge, this is the first study to consider and compare all originally and recently developed fundamental concepts of convergence altogether. Besides, it uses the Penn World Table (PWT) 9.1 and extends the period to 2010. From this point of view, this study is believed to provide the most up-to-date empirical evidence.

The purpose of this study is to reveal the dynamics of house prices and sales in spatial and temporal dimensions across British regions.

This paper incorporates two empirical approaches to describe the behaviour of property prices across British regions. The models are applied to two different data sets. The first empirical approach is to apply the price diffusion model proposed by Holly et al. (2011) to the UK house price index data set. The second empirical approach is to apply a bivariate global vector autoregression model without a time trend to house prices and transaction volumes retrieved from the nationwide building society.

Identifying shocks to London house prices in the GVAR model, based on the generalized impulse response functions framework, I find some heterogeneity in responses to house price changes; for example, South East England responds stronger than the remaining provincial regions. The main pattern detected in responses and characteristic for each region is the fairly rapid fading of the shock. The spatial-temporal diffusion model demonstrates the presence of a ripple effect: a shock emanating from London is dispersed contemporaneously and spatially to other regions, affecting prices in nondominant regions with a delay.

The main contribution of this work is the betterment in understanding how house price changes move across regions and time within a UK context.

Our paper studies a central issue with a long history in economics: the relationship between population and economic growth. We analyze the joint dynamics of economic and demographic growth in 111 countries during the period 1960–2019.

Using the concept of economic regime, the paper introduces the notion of distance between the dynamical paths of different countries. Then, a minimal spanning tree (MST) and a hierarchical tree (HT) are constructed to detect groups of countries sharing similar dynamic performance.

The methodology confirms the existence of three country clubs, each of which exhibits a different dynamic behavior pattern. The analysis also shows that the clusters clearly differ with respect to the evolution of other fundamental variables not previously considered [gross domestic product (GDP) per capita, human capital and life expectancy, among others].

Our results indirectly suggest the existence of dynamic interdependence in the trajectories of economic growth and population change between countries. It also provides evidence against single-model approaches to explain the interdependence between demographic change and economic growth.

We introduce a methodology that allows for a model-free topological and hierarchical description of the interplay between economic growth and population.

This study aims to elucidate the quantitative and qualitative differences in employment development between German districts. Building on ideas from competitive development and resource-based theory, the paper particularly seeks to explain enduring East-West differences between rural regions by two different forms of competitive advantage: cost leadership and quality differentiation.

This study follows a two-step empirical approach: First, an extended shift-share regression is conducted to analyze employment development in Western and Eastern German districts between 2007 and 2016. Second, the competitive share effect and other individual terms of the shift-share model are further examined in additional regressions using regional economic characteristics as exogenous variables.

The findings suggest that the above-average employment growth of the rural districts in the West is owed to the successful exploitation of experience in manufacturing that has been gathered by firms in the past 100 years or so. While their strategy is largely based on advanced and specialized resources and an innovation-driven differentiation strategy, the relatively weak employment development of Eastern rural districts might be explained by a lack of comparable long-term experiences and the related need to focus on the exploitation of basic and general resources and, accordingly, on the efficiency-based strategy of cost leadership.

This study offers an in-depth empirical analysis of how the competitive share effect, i.e. region-specific resources beyond industry structure, contributes to regional employment development. The analysis reveals that quantitative differences in rural employment development are closely related to qualitatively different levels of input factors and different regimes of competitiveness.

Polish agriculture is one of the main sectors of the national economy that, under the influence of political transformations and European integration, is subject to measures stimulating its development. The instruments of the Common Agricultural Policy (CAP) have been an important supporting stimulus.

This chapter aims to evaluate the significance of the common agricultural policy to the growth and development of agriculture and to structural transformations therein triggered primarily by the influx of additional CAP funds.

The agricultural sector was examined together with its selected characteristics in the context of CAP instruments' impact after 2004. Data included the streams of funding for Polish agriculture and indicators illustrating changes in structural features, economic performance and productivity of production factors. The indicators included changes in the number, structure and potential of farmsteads, changes in the level of employment in agriculture, this sector's share in total gross value added, profitability of farmsteads, capital expenditure level and changes in labour and land profitability compared with changes in the level of employment and agricultural production intensity. They were calculated based on data from EUROSTAT, Statistics Poland and Farm Accountancy Data Network (FADN).

The outcomes confirm that common agricultural policy has contributed to create development processes in Polish agriculture. Changes in the sector affected structural characteristics, production factors productivity and the income of agricultural producers. Since Poland joined the European Union (EU), the percentage of agricultural workers declined by 8.4 p.p. and the number of farms decreased by nearly 30%. These changes were accompanied by a nearly twofold increase in agricultural labour productivity, 50% increase in land productivity and the profitability of land increased by 43%.

This paper aims to explore the impact of corruption (CP) on income inequality (IN) by considering the size of informal sector (IFS) at different levels of percentiles.

This paper uses a panel quantile regression approach for a sample of 50 developing countries. The study also applies panel co-integration (Kao residual co-integration test) in order to examine the long-run relationship between CP and IN.

This paper using a panel quantile regression approach shows that the high incidence of IFS in an economy marginalizes CP's positive effect because it works as a source of poor peoples' livelihood and skillful individuals. The spread of IFSs in the developing economies may raise earnings among groups and individuals who remain unemployed. Moreover, the results show that CP creates asymmetry in income distribution; fascinatingly, the asymmetric income distribution is high when CP is at higher percentiles.

Due to non-availability of IFS, we restrict our analysis up to 50 developing countries.

CP devastates the effectiveness of institutions over time. Therefore, the government should have to take bold steps to reduce CP in society. Another policy implication of this study is that the government should reduce CP to decrease IN in less developing countries. Moreover, to increase the net base, the authorities need to bring IFS under the umbrella of regulation to avoid inequality in society. In developing economies, a higher part of labor force is related to IFS; therefore, our findings suggest a dire need to reduce labor exploitation in IFS. The policymakers can reduce labor exploitation by reducing the size of IFS, which ultimately reduces IN.

On the basis of the authors’ findings, this paper further suggests that it is mandatory for government to reduce CP in order to reduce IN. Moreover, to reduce IN, one needs to reduce the size of IFS.

This study is unique as it is the first that examined the role of IFS in establishing the effect of CP on IN for developing countries at different percentiles.

The purpose of this paper is to measure the high-quality entrepreneurial efficiency of family-owned small- and medium-sized enterprises (SMEs) while exploring the potential determinants of their performance. This study places particular emphasis on the firms' technological competencies and internationalization efforts. The authors aim to shed light on the internal and external characteristics that impact the efficiency of family SMEs.

This study adopts a two-stage approach. In the first stage, a data envelopment analysis model is utilized to measure the high-quality entrepreneurial efficiency of family SMEs. To achieve this, this study considered as outputs three key quality aspects of entrepreneurship, namely innovativeness, export orientation and turnover rate, while the inputs were the number of employees and the business environment. Then, in the second stage, the efficiency scores are regressed against a set of environmental factors that may affect the efficiency. The proposed efficiency measurement models are utilized with a particularly rich dataset of 1,910 family SMEs from 35 developed countries.

The results demonstrated that the efficiency of family SMEs primarily engaged in the production of goods was significantly higher than those providing services. Importantly, the presence of barriers related to innovation and digitalization had a pronounced negative impact on efficiency. Additionally, scale-up firms exhibited higher levels of efficiency. When examining family SMEs within their national context, it was observed that non-EU countries and countries with a higher gross domestic product displayed significantly higher efficiencies.

The findings of this research provide guidance for the development of entrepreneurship-oriented policies that consider both the internal characteristics of family SMEs and the diverse socioeconomic contexts in which they operate.