外资影响我国出口产品质量的差异性研究:从一个地区市场化程度的视角

我国正在经历从出口成本优势向质量优势转型的重要时期。外资对我国出口产品质量的影响及其差异性成为政府和学界关注的问题。本文从市场化水平、政府与市场的关系以及知识产权保护等三个方面检验了制度因素对外资质量溢出的影响。回归结果表明:(1)市场化程度低确实抑制FDI质量溢出;(2)政府干预对外资质量溢出效应产生了负面影响。在低市场化程度或者高政府干预样本组中,FDI质量溢出效应不显著;(3)知识产权保护对FDI质量溢出的影响程度非常有限。本文的结论为政策制定者提供了决策参考依据。简政放权、降低企业面临的行政成本是促进我国本土企业改善其出口产品质量的重要抓手。     

Conditional Persistence of Earnings Components and Accounting Anomalies

We suggest that the failure of investors to distinguish between an earnings component's autocorrelation coefficient (unconditional persistence) and the marginal contribution of that component's persistence to the persistence of earnings (conditional persistence) provides a partial explanation of post‐earnings‐announcement drift, post‐revenue‐announcement drift, and the accrual anomaly. When the conditional persistence of revenue surprises is high (low) relative to its unconditional persistence, both the post‐earnings‐announcement drift and the post‐revenue‐announcement drift are high (low), because investors’ under‐reaction to revenues and earnings is stronger when the persistence of revenue surprises is more strongly associated with the persistence of earnings surprises. Also, the mispricing of accruals decreases substantially when the conditional persistence of accruals is high relative to its unconditional persistence, because investors’ over‐reaction to accruals is mitigated when the persistence of accruals is indeed more strongly associated with the persistence of earnings. Our findings also suggest that financial analysts’ failure to distinguish between unconditional and conditional persistence of revenues and accruals results in more biased revenue and earnings predictions.     

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.     

What drives cross-country differences in export variety? A bilateral panel approach

A worldwide event like the 2020 Coronavirus outbreak can only reinforce the interest in modelling trade diversification as a key factor in countries’ vulnerability to external shocks. This paper adopts a detailed relative framework to study the determinants of product-level export variety in a large bilateral panel of developing and developed economies (16,770 country pairs in the period 1988–2014). We find that country pairs characterized by large differentials in productivity and in the makeup of the labour force differ in export variety patterns. This result holds after controlling for other endowments and for trade costs. Further, productivity plays a significant role in the reduction of export variety dissimilarities between countries belonging to different income groups. Hence, without successful technological convergence the low-income economies will not be able to reduce their exposure to export risk.     

Challenges to the use of fertilisers derived from human excreta: The case of vegetable exports from Kenya to Europe and influence of certification systems

Land degradation and inadequate faecal sludge management are two major issues in Sub-Saharan Africa (SSA). The transformation of human excreta into soil amendments and their wide-scale adoption could improve soil health and contribute to solving the sanitation crisis in SSA. There are however perception challenges around these fertilisers because of the potentially harmful components they contain such as pathogens and heavy metals, which can be removed with appropriate treatment such as composting. A major barrier to the wide scale commercialisation of human excreta derived fertiliser (HEDF) is the unclear regulations surrounding their use. The aim of this study was to identify barriers to the use of HEDF by farmers participating in the horticultural export market with Kenya as focus area since horticultural exports are a major contributor to the country’s economy. Global GAP is the most widely adopted standard for quality assurance of horticultural crops and the use of human sewage sludge is currently not allowed on certified farms. Interviews with stakeholders along the food export chain highlighted the complex interactions that exist between them and showed that Global GAP certified farmers were not willing to use HEDF on their farms even if local regulations recognise treated sludge as a valid input to agriculture. Several countries (like the UK, Sweden, Australia and the USA) created specific certification or assurance schemes to improve public perception of biosolids. The creation of a similar assurance or certification scheme specific to fertilisers made from source-separated human excreta would be a step into formalising them as a product, establishing production procedures, limits on contaminants content as well as testing protocols. Such a certification scheme could increase the confidence of regulating bodies in HEDF and lead to their acceptance by global farming standards.     

Nowcasting South African gross domestic product using a suite of statistical models

Given lags in the release of data, a central bank must ‘nowcast’ current gross domestic product (GDP) using available quarterly or higher frequency data to understand the current state of economic activity. This paper uses various statistical modelling techniques to draw on a large number of series to nowcast South African GDP. We also show that GDP volatility has increased markedly over the last 5 years, making GDP forecasting more difficult. We show that all the models developed, as well as the Reserve Bank's official forecasts, have tended to overestimate GDP growth over this period. However, several of the statistical nowcasting models we present in this paper provide competitive nowcasts relative to the official Reserve Bank and market analysts' nowcasts.     

High-frequency credit spread information and macroeconomic forecast revision

We examine whether professional forecasters incorporate high-frequency information about credit conditions when revising their economic forecasts. Using a mixed data sampling regression approach, we find that daily credit spreads have significant predictive ability for monthly forecast revisions of output growth, at both the aggregate and individual forecast levels. The relationships are shown to be notably strong during ‘bad’ economic conditions, which suggests that forecasters anticipate more pronounced effects of credit tightening during economic downturns, indicating an amplification effect of financial developments on macroeconomic aggregates. The forecasts do not incorporate all financial information received in equal measures, implying the presence of information rigidities in the incorporation of credit spread information.     

The role of accelerators in firm survival: An fsQCA analysis of Italian startups

Accelerators are a recent yet rapidly growing phenomenon within entrepreneurial ecosystems. The distinctive characteristics exhibited by accelerators, relative to previous incubation models, imply that accelerators may play a different role and have a different impact on the survival rates of participating firms. In this study, we explore the relationship between participation in an accelerator program and firm survival using fuzzy-set qualitative comparative analysis (fsQCA) with key variables related to firm survival. We analyze 38 accelerated startups from five Italian accelerators and a control group of 38 non-accelerated Italian startups. Our findings support the business accelerator literature that regards accelerators as a new and distinct generation of business incubators. Our results suggest that participation in accelerator programs on its own does not influence firm survival. However, we found a relationship between firm survival and accelerated technology-based firms that do not export and between firm survival and accelerated firms in the service sector with a small team that do not export. We conclude that factors affecting the survival of accelerated firms are different from factors affecting the survival of incubated firms, providing further evidence of the characteristics that distinguish accelerators from incubators.     

Oil price shocks and economic growth: The volatility link

This paper shows that oil shocks impact economic growth primarily through the conditional variance of growth. Our comparison of models focuses on density forecasts. Over a range of dynamic models, oil shock measures and data, we find a robust link between oil shocks and the volatility of economic growth. We then develop a new measure of oil shocks and show that it is superior to existing measures; it indicates that the conditional variance of growth increases in response to an indicator of the local maximum oil price exceedance. The empirical results uncover a large pronounced asymmetric response of the growth volatility to oil price changes. The uncertainty about future growth is considerably lower than with a benchmark AR(1) model when no oil shocks are present.     

Asymmetry,Complementarities, and State Dependence in Federal Reserve Forecasts

Forecasts are a central component of policymaking; the Federal Reserve's forecasts are published in a document called the Greenbook. Previous studies of the Greenbook's inflation forecasts have found them to be rationalizable but asymmetric if considering particular subperiods, for example, before and after the Volcker appointment. In these papers, forecasts are analyzed in isolation, assuming policymakers value them independently. We analyze the Greenbook forecasts in a framework in which the forecast errors for different variables are allowed to interact. We find that allowing the losses to interact makes the unemployment forecasts virtually symmetric, the output forecasts symmetric prior to the Volcker appointment, and the inflation forecasts symmetric after the onset of the Great Moderation.