Behind rising inequality and falling growth

This paper investigates why the upsurge of top income shares has coincided with economic slowdowns in the US since the late 1970s. I argue that a fast-growing unearned income from ‘wealth residual’ – the unexplained increase in wealth that is not accompanied by any increase in real output – lies behind them. To support this hypothesis, I measure wealth residual from the national accounts and associated statistics, and then perform a set of panel regressions using a comprehensive panel dataset of the US at the state level. The estimation results demonstrate that the rapid growth of wealth residual during the last four decades has contributed to a co-evolution of fast-growing inequality and falling growth.     

Does computer penetration increase farmers’ income? An empirical study from China

The diffusion and adoption of modern information technology provide new chance for China to close urban-rural income gap. This paper uses China's provincial panel data from 2002 to 2013 to investigate the effect of computer penetration on rural residents' income. A public program aiming to connect every village with broadband Internet and other rural facilities provides plausibly exogenous variation in rural residents' availability and adoption of the broadband Internet, which is used to explore the instrument variable for rural computer penetration. The results show that rural computer penetration tends to increase rural residents' income over time, but the average effect remains limited. The dynamic panel threshold effects model, which allows for both the threshold variable and other covariates to be endogenous, is further used to explore the constraints of the income-increase effect of rural computer penetration. It shows that the effect is at least doubled over the average effect estimated from instrument variables method, once the digital divide causes are removed. Our findings have important implications for the government to increase rural residents' income and reduce urban-rural income gap by encouraging rural computer usage and removing the digital divide.     

On credit and output: Is the supply of credit relevant?

The consensus that changes in the supply of credit were irrelevant to making monetary policy decisions existed among macroeconomists during the second half of the twentieth century. Transmission of shocks to the real economy through changes in the supply of credit, however, played an important role in the recent U.S. financial crisis. This paper explores the extent to which policymakers should consider changes in the supply of credit when making forecasts and monetary policy decisions. More specifically, it considers whether a measure of real credit balances offers consistent and stable information, beyond that of a real interest rate and real money balances, about future output gaps during the U.S. post-war era. Results yield evidence that changes in real credit balances are the only variable, among those considered, to provide consistent and stable information about future output gaps over the entire sample period. Each information variable, however, provides relatively little value added for forecasting future output gaps, beyond a simple autoregressive model. To improve upon forecasts and monetary policy decisions, policymakers therefore should consider a broader range of information variables and occasionally reassess the relative weightings assigned to each.     

Factor allocation,economic growth and unbalanced regional development in China

On the basis of development accounting techniques and a factor misallocation framework, we use panel data of 30 Chinese provinces from 2000 to 2013 to assess how factor allocation affects economic growth and unbalanced regional development in China. In particular, we decompose economic growth into three parts, namely sector productivity (SP ), factor market efficiency (FME ) and factor endowment (FE ). We then conduct counterfactual analyses to investigate the short and long‐run roles of factor allocation in the income distribution across provinces. The results show that SP , FME and FE can explain 23%, 8.5% and 68.5% of economic growth, while labour, capital and energy reallocation account for aggregate productivity growth of about 47%, −4.8% and −0.1%. Furthermore, when the factors are efficiently allocated, transferring labour (capital, energy) from agriculture (service, industry) to the other sectors will increase the income per capita by 29.5% and 42.5% in the short and long term. Meanwhile, efficient factor allocation accounts for 32% and 29.7% of aggregate productivity and reduces the income variation across provinces by 25.5% and 23% in the short and long run, respectively.     

A Common Base Answer to the Question “Which Country Is Most Redistributive?”*

We believe that what most authors have in mind when referring to the “most redistributive country” is a tax and transfer schedule that is most redistributive across all pre-tax and transfer income distributions. In order to measure each country's tax and transfer redistribution according to the same baseline, we suggest using the transplant-and-compare method of Dardanoni and Lambert (2002, Journal of Public Economics 86, 99–122) to establish a common base. The redistributive effects of countries’ tax and transfer schedules are illustrated by employing microdata on eight countries from the Luxembourg Income Study (LIS). Of these eight countries, Finland is found to be the most redistributive country, according to the common base method.     

Decomposing financial (in)stability in emerging economies

The analysis of the build-up of risks in emerging economies have traditionally been scarce and focused mostly on external risks, despite the recent substantial development of their financial system. This paper builds an index of financial vulnerabilities tailored to emerging economies, grouping 32 indicators around four poles: valuation and risk appetite, imbalances in the non-financial sector, financial sector vulnerabilities, and global vulnerabilities. It adopts a model-free approach, purposely departing from early warning models or complex econometric constructs, and rely on data made already available by international organisations. Our index of financial vulnerabilities enables a granular mapping of where risk originates and how it spreads to other parts of the financial system. Using various data visualisation tools and benefitting from the flexibility of our index’s methodology, we are able build a narrative of the evolution of financial stability in emerging economies from 2005 to 2015. Finally, we also discuss the relation between our index and both the business cycle (proxied by GDP) and the credit cycle (proxied by the credit-to-GDP gap).     

The Great Recession,Austerity and Inequality: Lessons from Ireland

The advent of the Great Recession and the widespread adoption of fiscal austerity policies have heightened concern about inequality and its effects. We examine how the distribution of income in Ireland—a country which experienced one of the most severe economic contractions—has evolved over the years 2008 to 2013. Standard cross‐sectional analysis of the income distribution shows broad stability in the Gini coefficient and in decile shares, with one main exception: the share of the bottom decile fell sharply, with the largest fall in average incomes being for that group. Longitudinal analysis shows that the falls in the average income for the bottom decile were not due to decreasing income for those remaining in the bottom decile, but to falls in income from those initially located in higher deciles. The extent of redistribution through taxes and transfers increased strongly, as measured by the Reynolds‐Smolensky index, which rose from 0.20 before the onset of the crisis to 0.27 in 2013. Analysis indicates that about three‐quarters of this increased redistribution is due to automatic stabilisers and one‐quarter to discretionary policy changes.     

农地流转市场中的土地流向及效果分析

［目的］我国农地流转市场发展迅速，农村土地呈现集中趋势。准确把握农村土地流动方向，探析农地流转对农业生产效率及农民收入的影响，对保障农地流转市场健康发展，实现农业现代化的关键，具有重要的现实意义。［方法］基于文献研究法对相关研究进行梳理和总结。［结果］（1）有效的农地流转市场使土地从低效率生产者流转至高效率生产者，从高收入农户流转至收入两端的农户，并有提高农业生产效率和增加农民收入的作用。转入户中存在显著的异质性差异，一部分是缺乏资金和人力资本的小规模农户，另一部分则是具有丰富资金和人力资本的大规模农户。（2）农业比较收益劣势易造成农地流转市场扭曲，改变土地流动方向，导致农业生产效率下降，并加剧农民收入的不平等。［结论］有效的农地流转市场有助于提高农业生产效率并增加农户收入。然而，农业较低的比较收益及政府的过度干预易造成农地流转市场扭曲，农业生产效率提升潜力难以发挥，增收效应减弱，农村收入差距加大。建议政府对农地流转进行有序引导，并注重劳动力市场及信贷市场的配套完善。     

Chair-CEO generation gap and bank risk-taking

Poor bank governance has disastrous consequences for economies as the 2007–2009 financial crisis has shown. In the aftermath, board diversity is identified as an effective mechanism to enhance bank governance. Diversity, creating cognitive conflict between board members, is expected to enhance board's independence of thought to better perform monitoring and advising functions. Age is a key demographic measure and age dissimilarity between the chair and the CEO in non-financial firms leads to better economic outcomes (Goergen, Limbach, & Scholz, 2015). In this paper, we examine whether chair-CEO age dissimilarity can mitigate banks' excessive risk-taking behaviour. Using a unique sample of 100 listed banks in Europe between 2005 and 2014, we find that age difference between the chair and the CEO reduces bank risk-taking. A chair-CEO generational gap –defined as a minimum of 20 years' age difference– has a larger impact in reducing risk-taking.     

Gender gap in self‐employment: The role of risk attitudes

This paper examines the link between the willingness to take risk and the gender gap in self‐employment in the transition economy, where for decades entrepreneurship was considered a crime. Using rich data on risk preferences and entrepreneurial activities, we show that male–female risk tolerance differential is the main determinant of the gender gap in self‐employment in Ukraine. The decomposition results indicate that up to 38% of the gap can be attributed to this factor. Robustness tests support the validity of the baseline findings by suggesting that the results are not confounded by such factors as being unemployed before starting a current job, having a self‐employed household member, or living in a relatively wealthy household before transitioning to self‐employment.