驱动经济高质量发展的科技创新要素及时空差异——2009—2017年省级面板数据的空间计量分析

基于2009—2017年中国内地31个省域面板数据，利用空间计量模型分析科技创新驱动经济高质量发展的时空差异，认为中国经济高质量发展指数稳步上升，空间聚集及正向溢出效应显著，空间依赖性强。R&D投入强度、科技研发成果、万人高校在校人数及城镇化率对经济高质量发展的影响均为正，财政教育支出的影响为负；经济地理距离相近省份R&D投入强度、财政教育支出及城镇化率对本省经济高质量发展的影响均为正，科技研发成果、万人高校在校人数及互联网基础条件的影响均为负。西部及中部地区科技创新人力与科技财政支出要素对经济高质量发展的积极影响大于其它地区，而东部地区科技资金投入、科技研发成果及科技成果转化度要素对经济高质量发展的积极影响大于其它地区。     

基于零增长理论的图书剔旧方法——以上海图书馆基藏中文书库为例

图书馆每年都要购进大量图书。在藏书达到一定的规模后,应控制藏书增长接近于零。保持零增长可以主要考虑剔除过时且不流通、复本过多、内容重复的书籍。被剔除书本则下架更改馆藏地移至外围书库按年份进行密集式排架储藏。     

Does democracy cause growth? A meta-analysis (of 2000 regressions)

The relationship between democracy and economic growth has been widely debated in the social sciences with contrasting results. We apply a meta-analytical framework surveying 188 studies (2047 models) covering 36 years of research in the field. We also compare the effect of democracy on growth with the effect of human capital on growth in a sub-sample of 111 studies (875 models). Our findings suggest that democracy has a positive and direct effect on economic growth beyond the reach of publication bias, albeit weaker (about one third) of that of human capital. Further, the growth effect of democracy appears to be stronger in more recent papers not surveyed in Doucouliagos and Ulubaşoğlu (2008). Finally, we show that the heterogeneity in the reported results is mainly driven by spatial and temporal differences in the samples, indicating that the democracy and growth nexus is not homogeneous across world regions and decades.     

Biases in fiscal multiplier estimates

The size of fiscal multipliers is intensively debated as large (small) multipliers provide arguments to expand (cut) public spending. We use data on multiplier estimates from over a hundred scholarly studies, and ask whether the national imprint and various incentives that the authors face can help explain the large observed variance in these estimates. We complement this meta-analytical data with information on economists’ personal characteristics collected from their biographies and through a self-conducted survey. Our evidence is consistent with the hypothesis that national background and policy orientation of researchers matter for the size of multiplier estimates. We only find weak support for the hypothesis that the interests of donors financing the research are relevant. Significant biases largely disappear for teams of international co-authors.     

Reelection,growth and public debt

In this work we examine how economic growth affects public debt when interacted with reelection prospects. Reelection considerations shorten political time horizons and give rise to political myopia that exacerbates debt accumulation. That laxer institutional reelection restrictions (e.g., no term limits) mitigate this effect due to electoral accountability is well known. Incorporating growth, we find that this mitigation can be reversed because less myopic, and more accountable, incumbents put more emphasis on smoothing the effects of growth across generations. We test these predictions using an annual-based panel of U.S. states over the period 1963–2010. Our identification strategy rests on constitutionally-entrenched differences in gubernatorial term limits that provide plausibly exogenous variation in reelection prospects, and aggregate national TFP shocks that are exogenous to individual states. Our estimates indicate that when reelection is possible a one standard deviation positive income shock induces, within the same year, a relative increase of approximately $40 in real per capita public debt.     

Policy tolerance of economic crime? An empirical analysis of the effect of counterfeiting on Italian trade

Some governments seem ambivalent towards economic crime because, on the one hand, there are adverse effects on competition and legal businesses; on the other hand, there are benefits through (shadow) employment and income in less-developed areas, as well as benefits through relations of political clientage. We focus on counterfeiting and its economic effects on trade in Italy during the economic crisis. Using a newly built regional dataset and a dynamic panel model, we find evidence of the dual impact of counterfeiting. The production (and exchange) of fake goods depresses the legal market that relies on intellectual property rights but supports shadow-economic activities for the benefit of illegal workers, criminal organisations, and political clientele. We show that the negative effects outweigh the positive effects.     

Foreign direct investment and economic growth: Is more financial development better?

We investigate the extent to which an increase in financial development affects the positive effect of foreign direct investment on economic growth. Although the financial sector is beneficial for economic growth, the effect of further financial development on growth is found to become insignificant. Using a dynamic panel threshold model on 62 middle- and high-income countries spanning the period 1987–2016, we re-examine the possible nonlinearity between finance, foreign direct investment, and growth. Consistent with the “vanishing effect” of financial development, we find significant evidence that foreign direct investment fosters growth in general, but the growth effect of foreign direct investment becomes negligible when the ratio of private sector credit to gross domestic product exceeds 95.6%. This finding is robust to different econometric methods, various subsamples and interaction analyses, and distinct financial development indicators.     

Government size,composition of public spending and economic growth in Brazil

The performance of the fiscal policy is largely affected by the relationship between government size, composition of public spending and economic growth. We use a theoretical framework to find optimal relations among these variables and confront them with a panel data for the Brazilian states. Private capital and government spending are substitute inputs in production as the Brazilian states require provision of public spending to fill gaps in the underdeveloped private sector. Public investment and current government expenditures are combined in fixed ratios in the overall government spending due to strong rigidity of the public budget. The optimal share of public investment is considerably lower than current expenditures, as occurs in developing countries characterized by low economic dynamism. Finally, the average tax burden from the data is below the estimated optimal level, meaning that there is space for increasing tax rate without harming economic growth for some Brazilian states.     

Relationship between city size and firm productivity – A new interpretation using the Chinese experience

This paper contributes to the literature on the relationship between city size and firm productivity by focusing on agglomeration, selection (market competition), and sorting (presence of firms with diverse productivity) effects using Chinese firm-level data for 1998–2013. Contrary to the existing literature, our parametric regression estimates from nearly two million firms show that when the selection effect is controlled, productivity advantage in big cities is reversed. This outcome is explained through a quantile regression showing the existence of left-sided sorting (inefficient firms sort themselves to larger cities) in big cities which is not captured in existing empirical literature. We further find that (1) left-sided sorting is stronger in exporters than non-exporters; (2) is also generated mainly in enterprises with high asset-liability ratios; and (3) selection has a positive effect on firm productivity, suggesting that market competition is key in an explanation of the rapid growth of big cities in China.     

Economic forecasting with evolved confidence indicators

We present a machine-learning method for sentiment indicators construction that allows an automated variable selection procedure. By means of genetic programming, we generate country-specific business and consumer confidence indicators for thirteen European economies. The algorithm finds non-linear combinations of qualitative survey expectations that yield estimates of the expected rate of economic growth. Firms’ production expectations and consumers’ expectations to spend on home improvements are the most frequently selected variables – both lagged and contemporaneous. To assess the performance of the proposed approach, we have designed an out-of-sample iterative predictive experiment. We found that forecasts generated with the evolved indicators outperform those obtained with time series models. These results show the potential of the methodology as a predictive tool. Furthermore, the proposed indicators are easy to implement and help to monitor the evolution of the economy, both from demand and supply sides.