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This paper investigates the per-capita output club convergence in case of 120 countries for the period 1995–2015. Further, we disaggregate per-capita output into three broad sectors such as agriculture, industry, and service and investigate the convergence hypothesis.

The paper tests this hypothesis using the Phillips and Sul panel club convergence technique.

Our findings are as follows: (1) our results indicate the evidence of output divergence for the full sample; (2) when countries are divided into different clubs, the results exhibit the sign of per capita output club convergence both for aggregate and three major sectors. Further, this study confirms that industry's per capita output is the main driver for aggregate per-capita output club convergence in case of club 1. For club 2, agriculture's per capita output is a primary source for aggregate per capita output club convergence. Likewise, in the case of clubs 3 and 4, we find the service sector's per capita output is the main component for aggregate per-capita output club convergence; (3) both the service and industry sectors are major drivers for aggregate per-capita output club convergence.

This study suggests to the policymaker that sector-specific policies need to be adopted to boost the per-capita output growth by improving the performance of each of the sectors across the countries.

Notwithstanding, there are many studies that examine the output convergence using a notion of beta and sigma convergence, but studies regarding per capita output club convergence both at the aggregate and sectoral level are scanty.

This paper reviews one of the crucial issues in the recent growth literature concerning the hypothesis of cross country convergence of levels and growth rates of income per capita implied by the neo‐classical growth model, both in the Solow‐Swan and Rampsey‐Cass‐Koopmans versions. The alternative endogenous growth models, consistent with permanent income inequality, are considered. Convergence to a common income level versus divergence is discussed from a theoretical point of view. Then, empirical tests of the convergence property are presented. What emerges is that Barro type regressions and their findings about “conditional” convergence are questionable and cannot be used to give a definitive response on this issue.

With China’s economic growth slowing down and the growth rate of fiscal revenue decreasing, the pressure on local government debts is further increasing. Under this background, it is of great significance to clarify the relation between local government debts and China’s economic growth in order to give full play to the positive role of local debts in stabling growth. The paper aims to discuss this issue.

Therefore, this paper explores the impact of Chinese local government debt on economic growth from theoretical and empirical aspects, respectively, and compares the regional differences between different debts and economic growth dynamics.

In the theoretical model part, this paper constructs a three-sector dynamic game model, under the two circumstances of whether local government is subject to debt constraints, and examines the relation between local government debt and economic growth and other variables through numerical simulation. Research shows that when the government is not constrained by debt, there is an inverted “U” relation between government debt and economic growth. When the government is constrained by debt, the economic growth rate gradually decreases as the government debt increases.

In the theoretical analysis part, this paper tries to estimate the amount of local debts under different calibers and examines the impact of different types of local government debts on China’s economic growth and their regional differences. The results show that excessive accumulation of government hidden debts in the eastern region is not conducive to economic growth, while explicit debts in the central and western regions significantly contribute to local economic growth. The results of empirical analysis are basically consistent with the predictions of the theoretical model.

The impact of fiscal decentralization on equalization between regions has received significant attention but there has been much less research of the impact of decentralization on equalization within regions. Theory suggests that the tradeoff between local fiscal autonomy and equalization ought to be most pronounced at the sub-region level where rural-urban disparities in the level of development are substantial. This paper is an empirical analysis of the impact of fiscal decentralization on equalization within one Russian region, Leningrad (State). We show that the regional government uses a mixture of fiscal instruments to strike a balance between giving more budgetary autonomy to local governments and eliminating the disparities among them. We also develop a method for studying this tradeoff between decentralization and equalization when only limited data are available. Finally, we argue and demonstrate that without a detailed understanding of the institutional arrangement for intergovernmental fiscal relations, one cannot evaluate the equalization or decentralization implications.

Proposes an empirical analysis of regional convergence in Canada based on the growth model of Barro et al. In an open economy with perfect capital mobility, if domestic residents cannot borrow abroad with human capital as collateral, the dynamics of human capital accumulation is the driving force of per capita income growth. Empirical results indicate that, as predicted by the theoretical model, various indicators of the stock of human capital did converge at the same speed as per capita income during the 1951‐1996 period. A substantial part of the relative growth of per capita income indicators across Canadian provinces since the early 1950s could be explained by the convergence process of human capital indicators based on the percentage of the population, both sexes and males, who have at least a university degree. The estimates of the human capital share in national income based on those indicators are in the neighbourhood of 0.5, a number consistent with other measures of the implicit income share of human capital. The convergence speed of per capita income at the regional level might have been two to three times faster, if all persons had invested in education at the same rate as the young.

The purpose of this study is to investigate the synergy between sectoral output, energy use and CO₂ emission with other factors for a panel of South Asian economies including Afghanistan, Bangladesh, Bhutan, India, Pakistan, Maldives, Nepal and Sri Lanka.

The analysis is done using annual panel data from 1980–2019 using dynamic ordinary least squares (DOLS), fully modified OLS (FMOLS) and Toda-Yamamoto techniques.

Empirical findings reveal the existence of a statistically significant long-run cointegrating relationship between energy use, sectoral output such as agricultural, industry and service gross domestic product (GDP), globalization, urbanization and CO₂ emission. DOLS and FMOLS result posits that in the case of the South Asian region agriculture GDP does not contribute to increasing CO₂ emission while service and industrial GDP is responsible for increasing CO₂ emission along with urban population, energy use and to some extent globalization. More remarkably, the contribution of the service GDP is greater than the other two sectoral outputs in increasing CO₂ emission with a feedback hypothesis.

As CO₂ emission is a global phenomenon with a cross-boundary effect, these empirical findings might contribute to formulating implementable energy and environmental policies to sustain growth, as well as to protect the environment in the regional context.

The study contributes to the literature by providing an empirical investigation of South Asia incorporating the contribution of sectoral output to understand the potential contribution of each sector on energy and emission. This is the first study on the South Asian context from the perspective of sectoral output, energy and emission.

The purpose of this paper is to investigate the welfare gains from risk sharing among African countries and regional groupings in Africa that are planning to establish monetary unions either in the short or longrun.

The paper empirically tested two hypothesis; potential welfare gains and unexploited welfare gains. It uses a utility-based measure to quantify the gains that would accrue from joining a risk sharing arrangement such as a monetary union. The regional groupings considered include the African Union (AU), the Economic Community of West Africa (ECOWAS), the Southern African Development Community (SADC) and the East African Community (EAC).

The results provide support for both hypotheses. Overall, the average potential welfare for AU, EAC, ECOWAS and SADC groups under full risk sharing are found to be 1.9, 2, 3.4 and 1.6 percent, respectively, each higher than the 1 percent estimated for the OECD countries and 0.6 percent for the 14-EU countries. The average unexploited gains are, however, even bigger for AU at 3.5 percent, ECOWAS at 8.6 percent and for SADC at 2.6 percent.

The finding of enormous potential welfare gains could partly reinforce the desire of the African countries to establish monetary unions. On the other hand, the paper provides insights to policy makers in designing policies to promote risk sharing given the finding that the unexploited welfare gains are on average still too low – implying that many African countries or groups still have very low risk sharing.

Previous studies on welfare gains and risk sharing have basically left out the African regional groupings and never related the issue of gains to the monetary union projects. Besides, previous studies focus on unexploited welfare gains at the expense of total potential welfare gains. Considering the two types, however, presents a more complete picture of total gains from joining any risk sharing arrangement such as a monetary union.

Information and communication technology (ICT) appears to play an indispensable task in influencing and directing the growth process of several developing countries. The spread of ICT in the South Pacific region including Fiji has facilitated faster and smother business in different sectors of the economy such as banking, education, transport and tourism. The purpose of this paper is to contribute to empirical literature and explore the effect of ICT on economic output, both in the short run and long run in the Fiji Islands.

The economic analysis was conducted using data from 1990 to 2016, improved framework of Solow (1956) and the autoregressive distributed-lag bounds approach to cointegration. Findings from the study and economic standpoint, the ICT is indeed important. The analysis shows an indication of long-run cointegration relationship among the variables for the two indicators of ICT. From the analysis, it is also observed that the two ICT indicators have a statistically significant and positive effect on output with coefficient ranging from 0.04 to 0.06.

These results extend the ICT literature by providing support for it in case of a small developing island economy. The study highlights that while the two proxies of ICT are important for long term output growth, besides broad money and capital stock, the principal technology contributor is a mobile cellular subscription in Fiji Islands.

The policymakers need to work diligently to not only enhance ICT related infrastructure but also focus on better services and communication in different sectors of the economy. The efficient use of present technologies such as 3-G and 4-G is crucial and must be connected and made available to other smaller islands of Fiji.

The recent study has focused on the contribution of ICT on small island developing country, relative to large developing or developed countries. Furthermore, the author examined the contribution of two indicators of ICT using Solow (1956) augmented framework.

Total factor productivity (TFP), for a country and for a firm as well, is a crucial element for economic growth by inducing high output. Actually, workers' effort is among the important factors that positively influence the TFP.

In this paper, the authors assume that the wage bonus enhances the worker's effort. Wage bonus is an incentive mechanism and plays a role in the TFP as is shown in a recent paper by Le Van and Pham (2021). The firm will maximize its profits. The supplies of capital and workers are exogenous. At equilibrium, the authors obtain that wage bonus has positive effects on output, labor productivity and price of the output.

The wage bonus system can make the optimal sequence of outputs grow without bounds. And if the optimal sequence converges to a steady state, this one can be characterized by higher output per capita than that in the steady state without the bonus.

In particular, the result show if, thanks to the wage bonus externality effect, the production may become of increasing returns and if the incentive mechanism is very strong, any optimal path of physical capitals will converge to infinity.

The purpose of this study is to examine whether variation in franchising across US states can be explained by differences in state regulatory burdens.

Three years of US state-level panel data is used on measures of franchising activity published by the International Franchise Association. The authors measured variation in regulatory burdens across state governments using the regulatory freedom index, developed by the Cato Institute. Multiple regression analysis was the statistical technique used.

Controlling for state-level per capita personal income, educational attainment, unemployment and share of population identifying as non-white, the authors find states with fewer regulatory burdens for business owners have more franchises and franchise jobs per 100,000 residents, higher franchise output per capita and a larger share of small businesses are franchises. These results were robust to alternative econometric specifications. The results support our hypothesis that states with lower regulatory burdens will have more franchising activity.

Only three years of data are currently available; however, our research provides some practical avenues for managers and policy makers to explore when considering new franchise opportunities or developing policies that impact regulatory burdens for small businesses.

This study contributes to the literature by providing supporting evidence for the relationship between US state institutional factors and franchised small businesses, and it adds a cross-state study to the existing literature using cross-country and cross-city data.