Understanding regional talent attraction and its influencing factors in China: From the perspective of spatiotemporal pattern evolution

Does R&D element flow promote the spatial convergence of regional carbon efficiency?

Carbon efficiency has attracted increased attention due to the carbon neutrality goal of various responsible countries, including China. R&D element has been proved to be an effective method to promote carbon efficiency from a static perspective without considering spatial factors. However, due to regional inequality in China, the level of carbon efficiency and R&D element flow vary in different regions. If ignoring the importance of R&D element flow from a dynamic perspective and neglecting the spatial factors of carbon efficiency convergence, it may be not conducive to the improvement of carbon efficiency and its overall development. Thus, this study proposes a gravity model to figure out the specific condition of R&D element flow (including R&D personnel flow and R&D capital flow) between Chinese provinces and cities from 2009 to 2019, builds up a MinDS model with undesirable outputs to estimate carbon efficiency and analyzes the characteristics of regional carbon efficiency with kernel density estimation, and employs a spatial Durbin model to investigate the effect of R&D element flow on regional carbon efficiency convergence. The results show that, firstly, the R&D personnel flow and R&D capital flow show a gathering trend in the neighboring regions, and the flow distribution is unbalanced. Secondly, the overall regional carbon efficiency has improved at first, then decreased gradually. There are large spatial differences among Chinese regional carbon efficiency, and the carbon efficiency between provinces and cities converges. Thirdly, R&D element flow promotes regional carbon efficiency convergence. The results of this study can be useful for solving the problem of unequal regional carbon efficiency development by managing the distribution and transfer of R&D element among provinces and cities.

Global Trends Of The Researches On Ossification Of Posterior Longitudinal Ligament In Thoracic Spine: A Bibliometric And Visualization Study

STUDY DESIGN

Bibliometric analysis OBJECTIVE: Thoracic ossification of the posterior longitudinal ligament (TOPLL) was a rare but intractable disease, and was the second leading cause of thoracic myelopathy. This study aimed to illustrate the overall knowledge structure, and development trends of TOPLL, using a bibliometric analysis and newly developed visualization tools.

METHODS

Research datasets were acquired from the Web of Science. The literature search was also limited to articles that were published until Oct 30, 2021. VOS viewer and Citespace software was provided to analyze the data and generate visualization knowledge maps. Annual trend of publications, distribution, H-Index status, co-authorship status and research hotspots were analyzed.

RESULTS

206 publications met the requirement. Japan published most papers (92), both total citations (1574) and H-index (24) ranked first of all the countries. The most productive organizations were Peking University (22). The most productive authors were Yamazaki M (18). The most productive journals were Spine (33). Diagnosis and treatment on the accuracy of surgical segments, prognosis of patients, and gene research were the research hotspots in the recent years.

CONCLUSION

The study showed an upward trend with a stable rise in recent years. Japan is country with the highest productivity, not only in quality, but also in quantity. Peking University and Spine have been the largest contributor. Indeed, this study provides great insights to the growth and development of TOPLL. Moreover, it will contribute to the growth of the international frontier.

Finding flaws in the spatial distribution of health workforce and its influential factors: An empirical analysis based on Chinese provincial panel data, 2010-2019

Background

The maldistributions of the health workforce showed great inconsistency when singly measured by population quantity or geographic area in China. Meanwhile, earlier studies mainly employed traditional econometric approaches to investigate determinants for the health workforce, which ignored spillover effects of influential factors on neighboring regions. Therefore, we aimed to analyze health workforce allocation in China from demographic and geographic perspectives simultaneously and then explore the spatial pattern and determinants for health workforce allocation taking account of the spillover effect.

Methods

The health resource density index (HRDI) equals the geometric mean of health resources per 1,000 persons and per square kilometer. First, the HRDI of licensed physicians (HRDI_P) and registered nurses (HRDI_N) was calculated for descriptive analysis. Then, global and local Moran's I indices were employed to explore the spatial features and aggregation clusters of the health workforce. Finally, four types of independent variables were selected: supportive resources (bed density and government health expenditure), healthcare need (proportion of the elderly population), socioeconomic factors (urbanization rate and GDP per capita), and sociocultural factors (education expenditure per pupil and park green area per capita), and then the spatial panel econometric model was used to assess direct associations and intra-region spillover effects between independent variables and HRDI_P and HRDI_N.

Results

Global Moran's I index of HRDI_P and HRDI_N increased from 0.2136 (P = 0.0070) to 0.2316 (P = 0.0050), and from 0.1645 (P = 0.0120) to 0.2022 (P = 0.0080), respectively. Local Moran's I suggested spatial aggregation clusters of HRDI_P and HRDI_N. For HRDI_P, bed density, government health expenditure, and GDP had significantly positive associations with local HRDI_P, while the proportion of the elderly population and education expenditure showed opposite spillover effects. More precisely, a 1% increase in the proportion of the elderly population would lead to a 0.4098% increase in HRDI_P of neighboring provinces, while a 1% increase in education expenditure leads to a 0.2688% decline in neighboring HRDI_P. For HRDI_N, the urbanization rate, bed density, and government health expenditure exerted significantly positive impacted local HRDI_N. In addition, the spillover effect was more evident in the urbanization rate, with a 1% increase in the urbanization rate relating to 0.9080% growth of HRDI_N of surrounding provinces. Negative spillover effects of education expenditure, government health expenditure, and elderly proportion were observed in neighboring HRDI_N.

Conclusion

There were substantial spatial disparities in health workforce distribution in China; moreover, the health workforce showed positive spatial agglomeration with a strengthening tendency in the last decade. In addition, supportive resources, healthcare needs, and socioeconomic and sociocultural factors would affect the health labor configuration not only in a given province but also in its nearby provinces.

Growth and challenges of China's nursing workforce from 1998 to 2018: A retrospective data analysis

BACKGROUND

Nurses play a vitally important role in promoting equitable and essential care. China undertook bold reforms in its education and healthcare systems since 1990s. The effect of these reforms on the nursing workforce has not been assessed systematically.

OBJECTIVE

This study aims to assess the changing trends and the underlying challenges of the nursing workforce in Mainland China in the period of 1998-2018.

DESIGN

Retrospective data analysis.

METHODS

Data were acquired from the National Health Statistics Yearbook from 1999 to 2019. Descriptive statistics were used to analyze the nature of the nursing workforce in terms of quantity, quality, and structure. Non-parametric tests were used to compare doctors and nurses in terms of number and work experiences. Global Moran's I index and hotspot analysis were applied to compare the equity in distribution of nurses at national and provincial levels.

RESULTS

From 1998 to 2018, the number of nurses increased from 1.22 to 4.10 million with an average rate of increase of 6.3% per annum. The ratio of doctors to nurses changed from 1: 0.61 to 1: 1.14, reaching 1: 1 in 2013. The main educational level of registered nurses elevated to associated degree (48.9%), and nurses with advanced titles increased at the most rapid rate. In 2018, 60.3% of nurses were younger than 35 years old. The Global Moran's I index ranged from 0.211 to 0.198 (Z > 1.96, P < 0.05). Hotspot analysis showed the distribution of nurses was unequally concentrated in the northern region and with the highest distribution in Beijing.

CONCLUSIONS

Great improvement on the scale and the quality of nursing workforce over the past 20 years has been witnessed in China. However, the shortage of nurses, outflow of younger nurses and the imbalance distribution of nursing workforce among the country are emerging challenges. Plans should not be ignored on continuously cultivating more qualified nurses, retaining younger nurses, attracting nurses to work in rural areas and the northeast region. Tweetable abstract: Numbers of Chinese nurses finally outstrip the number of doctors but do limited educational opportunities limits their contribution to the nation's health? New article in @ijnsjournal.