How does the presence of multinational companies affect plant survival in the host country? We postulate that multinational companies can impact positively on plant survival through technology spillovers. We examine the nature of the effect of multinationals using a Cox proportional hazard model, which we estimate using plant‐level data for Irish manufacturing industries. Our results show that the presence of multinationals has a life‐enhancing effect only on indigenous plants in high‐tech industries, suggesting the presence of technology spillovers. In contrast, multinationals compete with each other in low‐tech sectors in the host country. 相似文献
There is an increasing recognition of the potential importance of micro, small and medium enterprises (MSMEs) for employment, income and poverty reduction in Ethiopia. Although the MSME sector contributes significantly to the national economy, the high failure rate among well established small businesses and enterprises is a matter of major concern. A random sample of 500 small businesses and enterprises selected from five major cities in Ethiopia were followed up for 6 years in order to assess the impact of influential factors that affect the long‐term survival and viability of small enterprises. Hazard ratios estimated from the Cox Proportional Hazards Model were used to quantify the impact of key predictors of survival. Businesses that ceased operation were characterised by inadequate finance (61%), low level of education (55%), poor managerial skills (54%), shortage of technical skills (49%), and inability to convert part of their profit to investment (46%). The study shows that participation in social capital and networking (iqqub schemes) was critically helpful for long‐term survival. Businesses that did not participate in iqqub schemes regularly were found to be 3.25 times more likely to fail in comparison with businesses that did. Results of the study have implications that could be used for developing policy initiatives that are aimed at fostering long‐term growth in small businesses and enterprises. 相似文献
Background: Validation of overall survival (OS) extrapolations of immune-checkpoint inhibitors (ICIs) during the National Institute for Health and Care Excellence (NICE) Single Technology Assessment (STA) process is limited due to data still maturing at the time of submission. Inaccurate extrapolation may lead to inappropriate decision-making. The availability of more mature trial data facilitates a retrospective analysis of the plausibility and validity of initial extrapolations. This study compares these extrapolations to subsequently available longer-term data.
Methods: A systematic search of completed NICE appraisals of ICIs from March 2000 to December 2017 was performed. A targeted search was also undertaken to procure published OS data from the pivotal clinical trials for each identified STA made available post-submission to NICE. Initial Kaplan-Meier curves and associated extrapolations from NICE documentation were extracted to compare the accuracy of OS projections versus the most mature data.
Results: The review identified 11 STAs, of which 10 provided OS data upon submission to NICE. The extrapolations undertaken considered parametric or piecewise survival models. Additional data cut-offs provided a mean of 18 months of OS beyond the end of the original data. Initial extrapolations typically under-estimated OS from the most mature data cut-off by 0.4–2.7%, depending on the choice of assessment method and use of the manufacturer- or ERG-preferred extrapolation.
Conclusion: Long-term extrapolation of OS is required for NICE STAs based on initial immature OS data. The results of this study demonstrate that the initial OS extrapolations employed by manufacturers and ERGs generally predicted OS reasonably well when compared to more mature data (when available), although on average they appeared to underestimate OS. This review and validation shows that, while the choice of OS extrapolation is uncertain, the methods adopted are generally aligned with later-published follow-up data and appear appropriate for informing HTA decisions. 相似文献
ABSTRACTUsing the National Bureau of Statistics data set over the period 1998–2007, this article examines the dual roles of financial assistance and strong political links on firm survival in China by applying a semi-parametric duration model. We find that generally either financial assistance or strong political links had a positive effect on the likelihood of firm survival. Furthermore, if firms received both types of support from government, their survival rate was around two times as high compared to only receiving a single support. The likelihood of survival depended on the amount of assistance a firm received. We also find firm ownership impacts on its survival pattern. Lastly, China joining the World Trade Organisation (WTO) coincided with (cet. par.) higher firm failure, especially with regard to state-owned firms; however, this period also saw the authorities targeting political and financial help on the ‘better’ firms (especially SOEs) with characteristics likely to increase their chance of survival. 相似文献
The financial intermediation literature on small business lending focuses on the determinants and costs to credit access.
There is, however, little research examining the repayment behavior of small firms that actually receive loans. In this paper,
we address this shortcoming in the literature by examining the default behavior of a sample of Small Business Administration
7(a) guaranteed loans with three distinct maturity structures. We employ a discrete-time hazard approach and show that SBA
defaults are time-dependent and that the factors impacting default behavior, as well as its timing, are maturity specific.
Specifically, we show the importance of loan maturity, seasoning, economic conditions, and other firm-specific factors in
predicting the likelihood of SBA loan defaults.
JEL classification: G21 相似文献
Comparing prospective data from the UK and Russia, this paper analyzes whether the association of labour market status, and particularly unemployment, with subsequent health varies by the level of state protection provided to the unemployed. While the UK's unemployment welfare regime is classified as providing minimal protection, the Russian regime is sub-protective. Employing Cox duration analysis upon data from the Russian Longitudinal Monitoring Survey and the British Household Panel Survey for the period 2000–2007, this study finds that labour market status and economic circumstances independently predicted individual-level declines in self-rated health and, contrary to expectations, the associations of unemployment with health decline were similarly sized in the two countries. 相似文献