Divergent distributions of physicians and healthcare beds in China: Changing patterns, driving forces, and policy implications

2022 ◽  
Vol 138 ◽  
pp. 102626
Author(s):  
Xiang Yan ◽  
Shenjing He ◽  
Chris Webster ◽  
Meng Yu
Author(s):  
Edward Newman ◽  
Eamon Aloyo

Progress in conflict prevention depends upon a better understanding of the underlying circumstances that give rise to violent conflict and mass atrocities, and of the warning signs that a crisis is imminent. While a substantial amount of empirical research on the driving forces of conflict exists, its policy implications must be exploited more effectively, so that the enabling conditions for violence can be addressed before it occurs. Violence prevention involves a range of social, economic, and political factors; the chapter highlights challenges—many of them international—relating to deprivation, inequality, governance, and environmental management. Prevention also requires overcoming a number of acute political obstacles embedded within the values and institutions of global governance. The chapter concludes with a range of proposals for structural conflict prevention and crisis response, as well as the prevention of mass atrocities.


2020 ◽  
Vol 25 (3) ◽  
pp. 482-504
Author(s):  
Min-Ren Yan ◽  
Haiyan Yan ◽  
Lingyun Zhan ◽  
Xinyue Yan ◽  
Mengen Xu

Science parks and innovation policies have a major mission in driving innovative resources and nurturing emerging industries, while the government-academia-industry collaborations and the establishment of an ecosystem are essentials. To investigate the key driving forces for sustainable development of the collaborative ecosystem, this article evaluates the technological innovations and the ecosystem of Science Parks in Shanghai based on historical data obtained from Shanghai Zhangjiang Science Park (Zhangjiang Park in short). Systems thinking and causal loop analysis are adopted to explore the structure of the collaborative ecosystem and reflections of the policy impact on the science park. The role of the government in science parks and innovation ecosystems is identified with systems mapping and empirical study. The economic impact of Zhangjiang Park policies and the performance of innovation activities in Shanghai are further evaluated. Lessons learnt from the benchmarked science parks and policy implications for facilitating the innovation ecosystem are addressed.


2012 ◽  
Vol 279 (1744) ◽  
pp. 4024-4032 ◽  
Author(s):  
Lindell Bromham ◽  
Robert Lanfear ◽  
Phillip Cassey ◽  
Gillian Gibb ◽  
Marcel Cardillo

Predicting future species extinctions from patterns of past extinctions or current threat status relies on the assumption that the taxonomic and biological selectivity of extinction is consistent through time. If the driving forces of extinction change through time, this assumption may be unrealistic. Testing the consistency of extinction patterns between the past and the present has been difficult, because the phylogenetically explicit methods used to model present-day extinction risk typically cannot be applied to the data from the fossil record. However, the detailed historical and fossil records of the New Zealand avifauna provide a unique opportunity to reconstruct a complete, large faunal assemblage for different periods in the past. Using the first complete phylogeny of all known native New Zealand bird species, both extant and extinct, we show how the taxonomic and phylogenetic selectivity of extinction, and biological correlates of extinction, change from the pre-human period through Polynesian and European occupation, to the present. These changes can be explained both by changes in primary threatening processes, and by the operation of extinction filter effects. The variable patterns of extinction through time may confound attempts to identify risk factors that apply across time periods, and to infer future species declines from past extinction patterns and current threat status.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Noor Zahirah Mohd Sidek

Purpose This paper aims to re-examine the impact of government expenditure on income inequality. Existing studies provide mixed results on whether government expenditure reduces or increases income inequality. In this paper, government expenditure is viewed as a tool for redistribution, hence, its impact on inequality is examined. Design/methodology/approach A sample of 122 countries with 91 and 31 countries categorized as developing and developed countries is used. The dynamic panel threshold regression is used to examine the impact of government expenditure on income inequality and to estimate the turning point of the negative or positive effects. Findings The major findings suggest that, in general, government expenditure does reduce income inequality. Results from developed countries support the inversed U-shaped Kuznet curve where higher government expenditure initially led to more inequality but would eventually bring about a positive effect after a certain threshold level. For developing countries, education and development expenditure were the driving forces towards lower income inequality. Practical implications Several policy implications can be derived from this paper. First, government expenditure is a useful tool to alleviate the problem of income inequality. More integration with the global economy via trading activities is also an important channel to help reduce income inequality. Finally, better institutional quality provides an effective ecosystem in promoting better redistribution of income via government expenditure. Originality/value This paper presents a maiden attempt to estimate a threshold value or when government expenditure starts to reduce or increase income inequality. The sample is segregated into developed and developing countries to further control the effect of government size and the level of development of a country.


2019 ◽  
Vol 11 (3) ◽  
pp. 610 ◽  
Author(s):  
Feng Lan ◽  
Huili Da ◽  
Haizhen Wen ◽  
Ying Wang

Urban agglomerations (UAs) have become the urbanized “growth poles”, especially against the background of increasing population flow to cities. The spatial structure of UAs has been deemed the essential factor affecting regional function and sustainable development. Although there have been many meaningful studies on spatial structure changes in China, a systematically comparative work of UAs is still absent. Under this context, this paper examines the changing process of spatial structure in 20 Chinese UAs from monocentric to polycentric during the years 1992–2012 by using the night-time light data—an alternative to census data—and explores the major driving forces underlying the evolution. Our empirical results suggest that there is an obvious polycentric tendency of UAs, the spatial distribution pattern of which is not apparent. Panel regression models reveal that the economic level, the population size, the foreign direct investment (FDI), the human capital, and the transport infrastructure play significant positive roles in shaping the polycentric changing process, while the growth of the government expenditure does the opposite. Moreover, transport infrastructure and FDI are positively associated with polycentric spatial structure in mature UAs; on the contrary, they are negatively associated with it in the emerging UAs. Our study results have important policy implications for rapid Chinese urbanization—the policy whereby “China’s future urbanization development model is to limit the agglomeration of large cities while focusing on developing small and medium-sized cities” may be more efficient in mature UAs.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Zejun Li ◽  
Zimei Huang ◽  
Tinghui Li

The conversion from conventional to new driving forces and their time-varying characteristics are of great importance to China’s economic transformation. In this paper, we attempt to investigate the economic growth driving force conversion in China and the time-varying characteristics of driving forces by constructing a time-varying coefficient panel data model during the period of 1998–2015. The empirical results indicate that China’s economy has undergone driving force conversion. Specifically, China’s economic growth driving forces have been transformed from traditional ones (human capital and gross fixed capital formation) to new ones (innovation capacity and structural transformation). Furthermore, we find that the characteristics of the driving forces are time-varying and heterogeneous. Innovation capacity and structural transformation have a more crucial impact on economic growth. Finally, based on the conclusions of the quantitative analysis, some important policy implications can be pursued to foster economic growth. Chinese government ought to enact various policies that are conducive to enhancing innovation capacity and accelerating structural transformation.


World Economy ◽  
2016 ◽  
Vol 40 (1) ◽  
pp. 36-55 ◽  
Author(s):  
Lionel Fontagné ◽  
Jean Fouré ◽  
Alexander Keck

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