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“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

The purpose of this paper is to determine how population ageing is related to economic growth as measured by real GDP per capita in Japan. This study is to address the following questions: first, how is population composition by age group related to economic change? Second, how is the dependency ratio related to economic change? And finally, what are the predictions for economic growth in the future? This study answers these questions in relation to Japan.

Regression methods were applied to single-country data for the period 1975-2011.

This study finds that an increase in the 70-74 population age group is associated with a decrease in economic growth, while an increase in the 75 and over population age group is associated with an increase in economic growth in Japan.

The relationships that were found in this study do not imply causation from demographic change to economic change.

One potential way of promoting sustainable economic growth under conditions of population ageing is to devise a comprehensive policy that focuses on demographic factors.

This study analyses population ageing and economic growth in Japan using single-country data by applying regression methods.

This paper aims to determine causal relationships between the level of productive credit, real deposits and money demand – all of them in real terms – and Gross National Product between 2006 and 2020.

The vector autoregressive technique (VAR) was used, where data from real macroeconomic aggregates published by the Central Bank of Ecuador (BCE) are correlated, such as productive credit, gross domestic product (GDP) per capita, deposits and money demand.

The results indicate that there is no causal relationship, in the Granger sense, between GDP and financial activity, but there is between the growth rate of real money demand per capita and the growth rate of total real deposits per capita.

The study shows that bank credit mainly finances the operations of current assets and/or liabilities. In addition, economic agents use the banking system mainly to carry out transactional and precautionary activities.

This study aims to empirically explore whether there is causality and in which direction, i.e. whether financial development generates economic growth or whether financial development merely follows economic growth in transition European countries, including Russian Federation and Turkey, during 1998-2015.

The study uses different techniques such as pooled OLS, fixed and random effects and the Hausman–Taylor model with instrumental variables.

The regression results show a positive relationship between financial development indicators and real GDP per capita growth, thus supporting the hypothesis that finance leads economic growth. The result also shows that financial crisis has a negative effect on real GDP per capita growth. Furthermore, these findings show that government spending and inflation have a negative impact on real GDP per capita growth. The study also shows that financial development plays growth-supporting role in real GDP per capita growth in 20 European countries in transition, including Russian Federation and Turkey.

As financial development generates real GDP per capita growth, on the basis of the results of the study, a course of action that involves institutional improvement and incentivizing competition in the financial sector is recommended to the Central Banks’ policymakers in transition economies. These will in turn lead to higher real GDP per capita growth.

The study is original in nature and makes effort to promote financial development in transition European countries, including Russian Federation and Turkey. The findings of this study will be of value to Central Banks and other policymakers.

The purpose of this paper is to provide a model to measure the effect of broadband availability on economic growth in developed OECD countries.

The effect of the broadband availability‐related variables on economic growth is analyzed by using cross‐country panel data for 34 OECD countries over the years 1998‐2009. The robustness of the results by the six econometric estimation approaches is compared. The preferable dynamic panel model with the system of Generalized Method of Moments is selected.

The access channels per inhabitant and total broadband per inhabitant have improved over time, but vary across the analysed OECD countries. The improved access channels per inhabitant and gross capital growth (investment) play a positive and significant role in the per‐capita gross domestic product (GDP) growth. Labour productivity growth has encouraged economic growth positively. These results are robust independently of the estimation procedure.

The authors do not find a positive and significant role of the total broadband per inhabitant on the per‐capita GDP growth. These findings and the results for control variables pertaining to trade openness and inward foreign direct investment (FDI) in the growth equation are biased to the estimation procedure.

The conceptual‐empirical value to the research of new connections made using the key elements of economic growth theory with focus on the effect of the broadband availability, main macroeconomic and economic openness variables on economic growth. This is one of the first studies that, in the growth equation, uses different broadband availability‐related variables, which in addition to gross capital growth, government consumption, and inflation in the adjusted augmented growth model are controlled for labour productivity growth, trade openness, and inward FDI.

The purpose of this paper is discussing on cross-city empirical economic growth, by estimating an unbalanced dynamic panel for the most vulnerable region of Brazil.

The authors propose including additional and specific sources of cross-city variation, enabling them to capture the essence and reality of this region. The sample selection is given by the solution of a trade-off on the number of cities and the available explanatory variables. Considering the final choice, the analysis is based on 6,452 observations extracted from a sample of 925 cities between 2009 and 2015. Reconciling the regional growth literature and this availability of observable data, the authors decide to explain cross-city real gross domestic product per capita in log, controlling for its lagged value besides 15 explanatory variables on human capital, financial system, business environment and social infrastructure.

This study uses growth drivers on human capital, financial system, business environment and social infrastructure. Considering 6,452 observations for the period from 2009 to 2015, this study finds a significant role played by the levels of education of formal workers, rural financing, real estate financing and FIRJAN indices (health and employment).

A more comprehensive and complete understanding of cross-city variation, whether in the Northeast, in the North of the country or in other regions, involves the expansion of growth drivers in the model. Certainly, the impact of the industrial sector (not captured by the FIRJAN employment/income index), or programs and initiatives geared to technology, must be significant and positive. Despite the low market share, the insertion of microcredit data for informal, small business owners and more underserved families, can bring insights not measured in this article.

On financial system and development: The results on the significant and positive coefficient of rural and real estate financing are fundamental in conducting public policies aimed at granting credit. On human capital: The expected and intuitive relevant role of education suggests that good policies that are implementable need to be looked for and replicated to other northeastern cities. The state of Ceará seems to be that benchmark to be followed by the other states.

Another public policy that needs to be strengthened so that the most vulnerable cities can grow is related to the partnership with the private sector in the expansion and maintenance of basic sanitation. In this context, the new Legal Framework for Basic Sanitation is an important step. Its main objective is to universalize and qualify the provision of services in the sector. Theoretically, it seems to be an important advance and this also unlocks the first big wave of investments.

The analysis aims to contribute to the recent studies on regional growth applied to Brazil. To the best of the authors’ knowledge, this is an innovative contribution, and the main differences between this paper and the others are the sample of cities, the period, the growth model and the estimation technique. For instance, Da Mata et al. (2005, 2007) explore population growth and its implications for economic dynamics and income generation among 123 urban agglomerations between 1970 and 2000. Alves (2021) studied slum growth in contemporary urbanization of households in 272 Brazilian cities from 1991 to 2010.

As hypothesized by Gerschenkron (1962), lower income countries would tend to grow at a faster rate than higher income countries and, as a result, their average incomes would converge in the long run. In addition to that hypothesis, theoretical studies to assess the impact of globalization on international economic convergence remain ambiguous. To address both the issues simultaneously, this study attempts to analyze the trend and possible association between the two, i.e., cross-country per capita income differential and globalization. This study incorporates a long list of countries (160 Countries) for a fairly long period of time (from 1990 to 2019). As expected, the study found a steady rise in global trade to GDP ratio, indicating a rising level of globalization in the assessment period. In addition to that, the study also found a rising level of average cross-country per capita real GDP (based on purchasing power parity (PPP)) differential in the given time horizon, contradicting Gerschenkron hypothesis. Finally, applying the ARDL bounds testing procedure, the study finds that cross-country per capita income differential and globalization are cointegrated; and the net effect of globalization on income differential is positive. Therefore, given the data, the study concludes that, over the years, along with rising level of globalization, per capita income differential diverges which causes cross-country per capita income inequality to rise.

This study aims to examine the impact of financial inclusion on per capita gross domestic product (GDP) at varying degrees of financial inclusion for a sample of 76 developing countries between 2011 and 2017. To evaluate the heterogeneous impact, this paper constructs the multi-dimension index of financial inclusion to classify sample countries into two sub-samples in terms of the value of FIID, taking account of three dimensions of financial inclusion: access, usage and availability.

This study attempts to identify the presence of reverse causality and long-run relationship between financial inclusion and economic growth by using the Granger causality test (Wald test) and three alternative panel cointegration tests (Kao Test, Pedroni Test, Westerlund Test) respectively. Because of the existence of the bi-directional causality between financial inclusion and per capita GDP, this study uses a fixed effect instrumental variable model with lagged dependent variable to get unbiased estimators from the panel regressions for sample countries.

This paper finds a strong positive impact of financial inclusion on per capita GDP growth in sample developing countries, controlling for labor market structure, financial institutions’ efficacy, infrastructural and governance issues. This study suggests that economic growth will be high in developing economies with a higher level of financial inclusion; however, the positive impact for two sub-samples countries (low and medium level of inclusion and high level of inclusion) are heterogeneous. The estimated result explains that a 1% increase in the financial inclusion index leads to a 0.0153% point increase in the per capita GDP for the countries with a low and medium level of financial inclusion, while this positive impact is significantly higher, 0.0794% point for countries with the high level of financial inclusion. This study also suggests that the higher concentration in the financial market by few agents and the lower level of governance may have an adverse impact on economic growth for the economies with a low and medium level of financial inclusion.

This study is an original study that contributes to the research gap by explaining the heterogeneous impact of financial inclusion on economic growth at varying degrees of inclusion in the two sub-sample countries. Moreover, this study posits greater appeal as it explores the issue using the sample of only developing economies.

This paper investigates the effect of abnormal increase in credit supply on economic growth in Nigeria after controlling for the quality of the legal system, size of central bank asset, banking sector cost efficiency and bank insolvency risk.

The authors employ the generalised method of moments (GMM) regression methodology to estimate the effect of abnormal increase in credit supply on two measures of economic growth in Nigeria.

The abnormal increase in credit supply has a significant effect on economic growth. Abnormal increase in credit supply increases real gross domestic product (GDP) growth. The abnormal increase in credit supply decreases real GDP per capita during the global financial crisis. The abnormal increase in domestic credit to the private sector has a significant positive effect on GDP per capita when there is strong legal system quality in Nigeria. In contrast, the abnormal increase in domestic credit to the private sector has a significant negative effect on real GDP growth when there is strong legal system quality in Nigeria.

The abnormal increase in credit supply is ineffective in increasing GDP per capita during crisis years. Policymakers should be cautious in pressuring financial institutions to release an abnormally large amount of credit into the economy particularly during financial crises. Rather, policymakers should encourage financial institutions to supply credit in a sustained manner – not in an abnormal manner –and in a way that supports growth.

The present study contributes to the literature by analysing the effect of abnormal increase in credit supply on economic growth in a developing country context.

The purpose of the paper is to empirically examine the relationship between energy consumption and economic growth for a panel of five South Asian economies, namely, India, Pakistan, Bangladesh, Sri Lanka and Nepal over the period from 1971 to 2010 within a multivariate framework.

The study uses Pedroni cointegration and Granger causality test based on panel vector error correction model to examine long-run equilibrium relationship and direction of causation in the short and long run between energy consumption and economic growth using energy inclusive Cobb–Douglas production function for a panel of five South Asia countries, namely India, Pakistan, Bangladesh, Sri Lanka and Nepal.

Pedroni’s panel cointegration test indicates the long-run equilibrium relationship between economic growth per capita, energy consumption per capita and real gross fixed capital formation per capita for panel. Further, 1 per cent increase in energy consumption per capita increases the gross domestic product (GDP) per capita by 0.8424 per cent for the panel. Causality results suggest bidirectional causality between energy consumption per capita, gross fixed capital formation per capita and GDP per capita in the long run and unidirectional causality running from energy consumption per capita and gross fixed capital formation per capita to GDP per capita in the short run.

These South Asian countries should implement an expansionary energy policies through improving the energy infrastructure, energy efficiency measures and exploiting massive renewables’ availability for low-cost, affordable clean energy access for all, especially in the yet unserved rural and remote areas for further stimulating economic growth.

Implementing energy efficiency measures and massive renewables development (wind, solar and hydropower) may help the affordable and clean energy access and reducing fossils fuel dependence and its associated greenhouse emissions in South Asia.