New Venture Performance in Transition Economies from Different Institutional Perspectives

Building on institutional theory, this study examines the effects of dysfunctional competition and government ties on new venture performance in transition economies. And, it goes deeper to investigate how these effects are contingent on a new venture's entrepreneurial orientation (EO). It finds that EO weakens the negative relationship between dysfunctional competition and new venture performance but exacerbates the negative linkage of government ties to new venture performance. The findings not only illustrate how government impacts new venture performance in transition economies, but also indicate that new ventures can leverage entrepreneurship to cope with the effects of government‐related factors.     

SCREENING AS A UNIFIED THEORY OF DELINQUENCY,RENEGOTIATION, AND BANKRUPTCY

We propose a parsimonious model with adverse selection where delinquency, renegotiation, and bankruptcy all occur in equilibrium as a result of a simple screening mechanism. A borrower has private information about her endowment, and a lender uses random contracts to screen different types of borrowers. In equilibrium, some borrowers choose not to repay and thus become delinquent. The lender renegotiates with some delinquent borrowers. In the absence of renegotiation, delinquency leads to bankruptcy. Applied to mortgage restructuring, our mechanism generates amplification of house‐price shocks through foreclosure spillovers. We also show that government intervention aimed at limiting foreclosures may have unintended consequences.     

A new parametric model for converting excess mortality from clinical studies to insured population

We propose a new parametric model – the generalized excess mortality (GEM) model – for converting excess mortality from clinical to insured population. The GEM model has been formulated as a generalization of the excess death rate (EDR) model in terms of a single adjustment parameter (m) that accounts for a partial elimination of a clinical study’s EDR due to the underwriting selection process. The suggested value of the parameter m depends only on the ratio of the impairment’s prevalence rate in the insured population to that in the clinical population. The model’s development has been implemented in two phases: the design phase and the validation phase. In the design phase, the data from the National Health and Nutrition Examination Survey I pertaining to three broad impairments (diabetes, coronary artery disease, and asthma) have been used. As a result, the following equation for the parameter m has been proposed: m_k?=?(P_i,k/P_c,k)ⁿ, where P_i,k, P_c,k are the prevalence rates of impairment k under study in the insured and the clinical populations, respectively, and n a single universal parameter with its value best approximated as n?=?0.5 (95% confidence interval 0.5–0.6). In the validation phase, several independent clinical studies of three other impairments (Crohn’s disease, epilepsy, and chronic obstructive pulmonary disease) were used. As it has been demonstrated in the validation phase, for a number of impairments, the GEM model can provide a better fit for observed insured population mortality than either one of the conventional EDR or mortality ratio models.     

Organizational patterns of economies: an ecological perspective

A complex adaptive systems paradigm can be used to abridge theorizing in ecological and economic sciences. The paper discusses economic flows, connectivity and stability from the perspective of theoretical ecology. The global economy, by analogy with ecosystems, appears to self-organize as an ascendent system: most of the world trade is done among the tiny fraction of technologically advanced countries and trade interaction strength exhibits a power law with exponential decay. Small world behavior and preferential attachment characterizes interactions among economic agents. Industrial economies and the world economic system as a whole appear to evolve towards the ‘maximum power’ efficiency. Development that fosters efficiency in the maximum power sense (all the world becomes industrialized) implies a trade-off in socio-economic diversity, and may be antithetical to the stability of the global economy. If we take an ecological perspective, then the problem of global development does not reside in the realm of technology or global governance. It boils down to the question of required natural balance in living systems, the balance between organized complexity and overhead, the harmony between efficiency and adaptability.     

Board composition,share ownership,and ‘underpricing’ of U.K. IPO firms

Using a sample of 251 IPOs in the United Kingdom, this paper examines interlinks between executive and nonexecutive characteristics, share ownership, and short‐term performance measured in terms of share offer ‘underpricing.’ It argues that executives' power and previous experience directly affect ex ante choice of nonexecutive directors and their ownership interests in the firm. These endogenously developed governance factors may be used by IPO teams strategically to reduce the extent of underpricing. However, there is a selective response of investors to different board characteristics and share ownership structure. Copyright © 2002 John Wiley & Sons, Ltd.     

RETRACTED ARTICLE: Prediction of economic growth by extreme learning approach based on science and technology transfer

The purpose of this research is to develop and apply the extreme learning machine (ELM) to forecast gross domestic product (GDP) growth rate. Economic growth may be developed on the basis on combination of different factors. In this investigation was analyzed the economic growth prediction based on the science and technology transfer. The main goal was to analyze the influence of number of granted European patents on the economic growth by field of technology. GDP was used as economic growth indicator. The ELM results are compared with genetic programming (GP) and artificial neural network (ANN). The reliability of the computational models were accessed based on simulation results and using several statistical indicators. Coefficient of determination for ELM method is 0.9841, for ANN method it is 0.7956 and for the GP method it is 0.7561. Based upon simulation results, it is demonstrated that ELM can be utilized effectively in applications of GDP forecasting.

     

Shadow short rate and monetary policy in the Euro area

Empirical modelling of the monetary policy effects using conventional linear econometric models is put to a great test when interest rates approach the zero-lower bound. A possible remedy recently proposed in the literature is to introduce a shadow short rate (SSR) obtained from the yield curve model as an alternative monetary policy measure. This paper examines the usefulness of shadow rates as a policy stance measure for the Euro area. Moreover, the SSR can be used to study the country-specific monetary policy stance. We incorporate the shadow short rate in a standard vector autoregressive analysis to study the effects of monetary policy shocks both at the level of the Euro area and for two periphery EA countries, Italy and Spain, that endured significant financial stress during the crisis. Our analysis shows that monetary policy shocks identified form the SSR produce similar macro responses as shocks identified from the standard policy rate. The Euro area shocks can directly translate to a corresponding change in the country-specific financing conditions in the periphery, whereas the reverse effect is limited. The historical decomposition of the stochastic component of the SSR series shows that the unconventional policy measures were effective in stabilising the sovereign crisis in 2011, however, their relatively limited quantity provided only a weak stimulus to the economy.     

Training Needs in Russian Industrial Companies: Assessment by CEOs

The article reports on the results of a recent survey of 740 Russian CEOs on their attitudes towards business education. It was found that the implied demand of Russian CEOs for managerial retraining is consistent, as retraining is seen as a remedy for current rather than fundamental problems in managerial efficiency, and it is insolvent as Russian companies currently are not ready for serious investment in human resources. In addition, there are low chances for dissemination of knowledge and skills within the company as Russian CEOs do not value coaching and mentoring. Some policy recommendations are provided.