US state health expenditure convergence: A revisited analysis

This paper studies the evolution of US state health expenditure for a sample that covers 1966–2014. Our results provide evidence against the existence of a single pattern of behavior of personal health care expenditure across the US states. Rather, we can observe the existence of two statistically different convergence clubs. We cannot find evidence of convergence when we disaggregate health expenditure into its three main payers: Medicare, Medicaid and private health insurance expenditure, whilst we again find evidence of convergence clubs. However, the estimated clubs for Medicaid and private health insurance expenditure are statistically different that estimated for total health expenditure. Consequently, our results offer strong evidence of heterogeneity in the evolution of US health expenditure. The analysis of the forces that drive club creation shows that economic situation and some supply-side factors are important. We can also appreciate that some healthcare outcome variables are only related to private insurance health expenditure. The other health expenditures, thus, show a certain lack of efficiency which may be due to practices that have little benefit for patient health.     

OLD WINE IN A NEW BOTTLE: TRADE OPENNESS AND FDI FLOWS—ARE THE EMERGING ECONOMIES CONVERGING?

This study uses the club convergence methodology of Phillips and Sul (2007) for emerging economies spanning the period 1960–2013 to explore whether such convergence exists and whether the increase of international trade and foreign direct investment (FDI) flows has been a global or club phenomenon. We find the absence of a homogeneous convergence club. The results for FDI outflows also reach similar conclusions, suggesting the formation of convergence clubs by stage of development. These results suggest that policies that promote convergence in trade openness and FDI flows would permit countries to benefit from mutual interactions and by greater consistency and efficiency in trade regimes, thus permitting these countries to benefit from openness leading to a race to the top rather than bottom. (JEL F41, C33)     

Regional convergence clubs in Europe: Identification and conditioning factors

The aim of this paper is to empirically identify convergence clubs in per capita incomes of European regions and to investigate whether initial conditions − as suggested by the club convergence hypothesis − are responsible for club formation. To tackle this issue, we propose a two-step procedure in which we first endogenously identify groups of regions that converge to the same steady state level, and in a second step we investigate the role of starting conditions and structural characteristics for a region's club membership. Our sample comprises 206 European NUTS2 regions between 1990 and 2002. The results strongly support the existence of convergence clubs, indicating that European regions form six separate groups converging to their own steady state paths. Moreover, estimates from an ordered logit model reveal that the level of initial conditions such as human capital and per capita income plays a crucial role in determining the formation of convergence clubs among European regions.     

Analysing convergence in Europe using the non-linear single factor model

We investigate convergence in European price level, unit labour cost, income and productivity data over the period of 1960–2006 using the non-linear time-varying coefficients factor model proposed by Philips and Sul (2007 Econometrica 75:1771–1855). This approach is extremely flexible in order to model a large number of transition paths to convergence. We find regional clusters in consumer price level data. GDP deflator data and unit labor cost data are far less clustered than CPI data. Income per capita data indicate the existence of three convergence clubs without strong regional linkages; Italy and Germany are not converging to any of those clubs. Total factor productivity data indicate the existence of a small club including fast-growing countries and a club consisting of all other countries.     

Inflation convergence in Central and Eastern Europe vs. the Eurozone: Non‐linearities and long memory

In this paper, we consider inflation rate differentials between seven Central and Eastern European Countries (CEECs) and the Eurozone. We test for convergence in the inflation rate differentials, incorporating non‐linearities in the autoregressive parameters, fractional integration with endogenous structural changes, and also consider club convergence analysis for the CEECs over the period 1997 to 2015 based on monthly data. Our empirical findings suggest that the majority of countries experience non‐linearities in the inflation rate differential; however, there is only evidence of a persistent difference in some countries. Complementary to this analysis we apply the Phillips and Sul (2007) test for club convergence and find that there is evidence that most of the CEECs converge to a common steady state.     

Club Convergence in Carbon Dioxide Emissions

We examine convergence in carbon dioxide emissions among 128 countries for the period 1960–2003 by means of a new methodology introduced by Phillips and Sul (Econometrica 75(6):1771–1855, 2007a). Contrary to previous studies, our approach allows us to examine for evidence of club convergence, i.e. identify groups of countries that converge to different equilibria. Our results suggest convergence in per capita CO₂ emissions among all the countries under scrutiny in the early years of our sample. However, there seem to be two separate convergence clubs in the recent era that converge to different steady states. Interestingly, we also find evidence of transitioning between the two convergence clubs suggesting either a slow convergence between the two clubs or a tendency for some countries to move from one convergence club to the other.     

广东省大中型工业企业研发效率区域差异及其收敛性

基于中间-最终产出效率的视角,运用随机前沿分析和β收敛性检验,利用2002—2010年广东省的统计数据研究了广东省大中型工业企业研发效率的区域差异及其收敛性。结果表明:广东省三大区域(珠三角地区、粤东粤西两翼地区和粤北山区)的大中型工业企业的研发中间产出效率的差异不明显,研发最终产出效率存在显著差异,该差异主要是由环境因素造成;三大区域的大中型工业企业研发中间产出效率不存在绝对收敛,而研发最终产出效率存在明显的"俱乐部收敛",并分化出珠三角地区和粤东粤西两翼地区-粤北山区两大俱乐部。     

PERSISTENCE IN CONVERGENCE AND CLUB FORMATION

In this paper, we examine the convergence hypothesis using a long memory framework that allows for structural breaks and does not rely on a benchmark country using both univariate and multivariate estimates of the long memory parameter d. Using per capita GDP gaps, we confirm the findings of non‐stationarity and long memory behavior that have been found previously in the literature using univariate tests. However, the support for these findings is much weaker when using a multivariate framework, in which case we find more evidence of stationary behavior. Based on these results, we also investigate club formation, something that would suggest the presence of conditional convergence. We describe a club formation methodology using the sequential testing criteria that we have employed in our analysis as the basis for forming clusters or clubs of countries with similar convergence characteristics.     

Convergence,divergence, or multiple steady states? New evidence on the institutional development within the European Union

Convergence in institutions and in per capita income across the European Union (EU) Member States are key goals of the European integrations process. Especially in the course of the various EU enlargement waves starting in 2004, it was intensively discussed whether institutional and structural homogeneity are necessary preconditions for real convergence and the smooth functioning of the EU or whether a (further) catching up in the institutional and economic development will endogenously occur after the EU accession. Our paper is dedicated to the analysis of these institutional dynamics within the EU. In particular, we analyze the formation of institutional convergence clusters using Phillips and Sul's (2007, 2009) log t-test over the period 2002 to 2018. Our results indicate the existence of multiple institutional clubs with various countries being stuck in a poor institutional trap. Moreover, we find that institutional convergence clubs are formed mainly on the basis of geographic region; in particular, we identify a northwest-southeast divide. When analyzing per capita income clubs, a rather similar picture emerges, suggesting that the underlying institutional clusters might drive the formation of income clubs. We also study the factors that determine institutional club membership by using an ordered probit model. Most importantly, we find that the initial levels of human capital and institutional quality are decisive for determining whether a country is on a high or low institutional growth path.     

Inter-Region Transportation Costs,Regional Economic Growth,and Disparities in China

To examine the correlation between regional economic growth and inter-region transportation costs in China, this study establishes a regional economic growth model embedded with inter-region transportation costs based on the Cobb-Douglas production function. Based on a balanced growth empirical model, this study verifies the correlation by conducting a regression analysis of the panel data of 29 provinces, municipalities, and autonomous regions from 1985 to 2015. The empirical results show that: (1) The per capita GDP growth among the three regions (namely, the eastern, central, and western regions of China) meets a conditional convergence trend, and the decreasing of the inter-region transportation costs increases the convergence speed; (2) The per capita GDP growth is in line with the club convergence trend within each of the three regions; (3) The trend of the output elasticity of the inter-region transportation costs shows that the gradual decrease of inter-region transportation costs has a positive correlation with the narrowing of economic disparity after the year 2000, accelerating "common prosperity" across different regions in China.     

Regional income inequality in China revisited: A perspective from club convergence

Growing income inequality in China has elicited considerable concern, and consensus has not been reached regarding whether regional income converges into one common steady state. The controversy may be attributed to the various definitions and methodologies for testing convergence. This study analyzes regional income inequality and convergence in China from the perspective of club convergence proposed by Phillips and Sul (2007). Instead of one convergence at the national level, we determine that provincial incomes are converging into two clubs: seven east-coastal provinces (Shanghai, Tianjin, Jiangsu, Zhejiang, Guangdong, Shandong, and Fujian) and Inner Mongolia are converging into a high income club, and the remaining provinces are converging into a low income club. In addition, we obtain strong evidence that income inequality within a club decreases, while that between clubs deteriorates over time. Between-club inequality is associated with investment in physical and human capital, as well as population growth rates.     

Financial development,economic growth and convergence clubs

To study the role of financial development in economic growth, we apply an array of convergence tests designed to capture nonlinear transitional dynamics to real outputs per capita. Strong evidence of multiple convergence clubs is observed, implying that the clubs are formed based on the initial level of real output per capita and average growth rate. Our empirical results show that the stage of economic growth of each country plays an important role for the composition of the convergence clubs. Furthermore, financial development emerges to be a significant determinant, albeit plays differently in the economic growth of each convergence club.     

Assessment of regional productive performance of European health systems under a metatechnology framework

Within last seventy years, healthcare spending in Europe has grown faster than national income. However, this does not always translate into good health indicators, suggesting a problem of efficiency in different European health systems. This paper analyzes the efficiency of such systems for 185 European regions in 17 countries by grouping them into three clusters according to their institutional setting: regulation, funding and service provision. We investigate their productive performance by adopting a metafrontier framework for exploring the role of technological spillovers. Our findings suggest that the three European health systems show similar efficiency performance; the best performers are regions that have adopted social healthcare insurance; kernel analysis indicates that there is convergence toward a single club in each frontier. Finally, we find a dramatic change in the convergence process after the nancial crisis, with European regions converging toward different groups with different levels of efficiency.     

Income convergence clubs for Brazilian Municipalities: a non-parametric analysis

This article analyses the evolution of relative per capita income distribution of Brazilian municipalities over the period 1970–1996. Analyses are based on non-parametric methodologies and do not assume probability distributions or functional forms for the data. Two convergence tests have been carried out – a test for sigma convergence based on the bootstrap principle and a beta convergence test using smoothing splines for the growth regressions. The results obtained demonstrate the need to model the dynamics of income for Brazilian municipalities as a process of convergence clubs, using the methodology of transition matrices and stochastic kernels. The results show the formation of two convergence clubs, a low income club formed by the municipalities of the North and Northeast regions, and another high income club formed by the municipalities of the Center-West, Southeast and South regions. The formation of convergence clubs is confirmed by a bootstrap test for multimodality.     

Nonlinearities in economic growth and club convergence

This paper deals with heterogeneity and nonlinearities in the growth process by developing a two-stage strategy to identify and estimate a club convergence model with threshold externalities. Because of identification and collinearity problems, we develop an entropy-based estimation procedure which simultaneously takes account of ill-posed and ill-conditioned inference problems. First, clubs are identified by introducing a mapping structure in a conditional convergence model. Finally, we estimate a multiple club convergence model, where clubs correspond to subsets of total observations. Our procedure is applied to assess the existence of club convergence for a large sample of countries (1965–2008).     

Convergence patterns in financial development: evidence from club convergence

This article analyzes the degree of convergence of financial development for a panel of 50 countries. We apply the methodology of Phillips and Sul (Econometrica 75:1771?C1855, 2007) to various indicators of financial development to assess the existence of convergence clubs. We consider ten alternative indicators of financial development that various researchers use to proxy for the degree of financial development in countries. Overall, the results do not support the hypothesis that all countries converge to a single equilibrium state in financial development. Nevertheless, strong evidence exists of club convergence. Countries demonstrate a high degree of convergence in the sense that in the majority of financial indexes they form only two or three convergence clubs, depending on the measure of financial development used. We also apply the Phillips and Sul method to two real variables, per capita output and fixed capital investment to GDP, and find strong evidence of five and four distinct convergence clubs, respectively. Finally, we compare the various convergence clubs associated with financial development indicators to those clubs for per capita output and fixed capital investment to GDP. We conclude that strong evidence supports the correspondence between the convergence clubs for financial development and those two real variables.     

Energy Efficiency Convergence in China: Catch-Up,Lock-In and Regulatory Uniformity

This paper examines alternative hypotheses of beta convergence for different measures of energy efficiency. We collect a novel set of prefecture-level data that substantially extend the breadth of the datasets ever used in this literature. GMM estimators are then used to empirically test the national and club convergence of energy efficiency among these prefectures. We find strong evidence for prefecture-level national and club convergence in energy efficiency. In particular, the listed key environmental protection (KEP) prefectures, prefectures in central and western regions and prefectures not listed as resource-based (RB) converge faster than the non-KEP prefectures, prefectures in eastern region and RB prefectures. Sensitivity analyses suggest that these results are robust to alternative measures of energy efficiency and GMM specifications.     

创新环境约束下高技术产业区域创新效率及收敛性研究

以各地区高技术产业为样本,应用超越对数随机前沿模型实证测算了创新环境约束下各地高技术产业基础研发和成果转化创新效率,并基于σ收敛、β收敛以及俱乐部收敛3种判别方法,考察了高技术产业基础研发效率和成果转化效率的收敛性特征。研究发现,2000-2014年我国创新环境对区域高技术产业的影响不可小觑,在其约束下高技术产业基础研发效率不断提升,呈现出东西较高、中北较低的分布态势且出现收敛特征;在应用效率方面,各地区成果转化效率大致划分为2000-2007年的缓慢增长期与2008-2014年的缓慢衰退期两个阶段,具有东高西低、南高北低的分布态势且趋于发散。     

Energy productivity convergence: new evidence from club converging

The goal of this study is to explore the convergence of energy productivity across 31 countries from 1972 to 2012 by using the convergence club algorithm developed by Phillips and Sul (2007). The empirical results lead to the rejection of full convergence and to the presence of a certain number of clubs. The transitional curves, however, indicate that over the long run energy productivity tends to converge, indicating the strong attempts of the countries under investigation to adopt energy policies that eventually contribute to a convergence pattern.