Suchergebnisse

The Belt and Road (B&R) initiative, introduced in 2013, has led to a noticeable increase in China's outward foreign (OFDI) in the B&R countries. This paper aims to investigate the impacts of the Chinese OFDI investment on economic growth in the B&R countries. This study covers 55 B&R countries during 2006-2018. This paper applies the SYS-GMM model to estimate the empirical results. The results show that the Chinese OFDI could promote economic growth in the B&R countries, especially after the B&R initiatives. However, the country's government debt is the critical factor in enhancing the role of such OFDI on economic growth in those countries. Technological development, degree of trade openness, and labor market conditions in the B&R countries are crucial in promoting their economic growth

This article develops influence diagnostics for log‐Birnbaum–Saunders (LBS) regression models with censored data based on case‐deletion model (CDM). The one‐step approximations of the estimates in CDM are given and case‐deletion measures are obtained. Meanwhile, it is shown that CDM is equivalent to mean shift outlier model (MSOM) in LBS regression models and an outlier test is presented based on MSOM. Furthermore, we discuss a score test for homogeneity of shape parameter in LBS regression models. Two numerical examples are given to illustrate our methodology and the properties of score test statistic are investigated through Monte Carlo simulations under different censoring percentages.

This research describes the growth of the Minneapolis Skyway network and aims to determine if the growth of the system has followed a predictable path. We hypothesize that the system expanded to the places in which it was valued the most. The point accessibility of each block lying within and adjacent to the connected system for each expansion year is calculated and used to predict the expansion of the Skyway System. In order to determine how often the expansion connected the blocks with higher accessibility, a connection-choice logit model relating the probability of joining the network (in a given year) to accessibility measures and network size was employed. The results disclose that accessibility is a significant explanatory factor of network growth. In accordance with the findings from the logit model, a network-growth simulation model was then developed on the basis of the strongest-link assumption (ie for a link to be constructed, it must be ranked the highest in terms of increasing accessibility between the two blocks it connects). The results show that the simulation model performs well in predicting the sequence of skyway additions on the basis of the myopic strongest-link assumption. This suggests that—although various physical, economic, regulatory, and legal factors may have played a role—accessibility remains an important factor in predicting which links are connected during the growth of the Minneapolis Skyway network.