Correlation between the Human Development Index and the Incidence and Mortality of Non-Hodgkin Lymphoma

Objective This study was to examine the relationship between socioeconomic status and the incidence and mortality of non-Hodgkin lymphoma(NHL).Methods We compared the age-standardized incidence rate(ASIR),age-standardized mortality rate(ASMR),and the ASMR to ASIR ratio(MIR)at national and regional levels and studied the correlation between the MIR and the human development index(HDI)in 2012 and 2018.Results The highest ASIR was in North America in 2012 and in Australia in 2018,and the lowest ASIR was in Central and South Asia in both 2012 and 2018.The highest ASMR was in North Africa in both 2012 and 2018,and the lowest ASMR was in Eastern Asia and South-Central Asia in 2012 and in South-Central Asia in 2018.The lowest MIR was in Australia in both 2012 and 2018,and the highest MIR was in Western Africa in both 2012 and 2018.HDI was strongly negatively correlated with MIR(r:−0.8810,P<0.0001,2012;r:−0.8895,P<0.0001,2018).Compared to the 2012 data,the MIR in the intermediate HDI countries significantly deceased and the HDI in low and high HDI countries significantly increased in 2018.Conclusion The MIR is negatively correlated with HDI.Increasing the HDI in low and intermediate HDI countries may reduce the MIR and increase the survival of patients with NHL.

National Breast Cancer Mortality and Incidence Rates According to the Human Development Index: An Ecological Study

Background: This study aimed to identify the role of human development index (HDI) in the incidence and mortality rates of breast cancer (BC) worldwide. Methods: Data on the age-standardized incidence and mortality rates of BC for 184 countries were obtained from the GLOBOCAN. Data about the HDI and other indices were obtained from the World Bank Report 2013. Linear regression model was used for assessment the effect of HDI on BC occurrence rates. Results: In 2012, BCs were estimated to have affected a total of 1,671,149 individuals (crude rate: 47.8 per 100,000 individuals), and caused 521,907 deaths worldwide (crude rate: 14.7 per 100,000 individuals). Nearly half of total female BC cases (46.3%) with the highest risk of incidence (age-standardized Rate (ASR): 128 per 100,000) had occurred in very high HDI regions. The most proportion of the mortality burden was in low HDI and medium HDI areas. Linear regression analyses showed a direct significant correlation between the incidence of BC and HDI at the global level (B = 104.5, P < 0.001). The mortality rate of BC was not significantly associated with HDI (B = 3.26, P = 0.160). Conclusion: Our study showed that the burden of female BC is enormous in very high HDI and low HID regions. Targeted interventions have the ability to reduce this number significantly through resource-dependent interventions. Moreover, further reductions in mortality could be brought about by increasing access to curative treatment for patients with BC.

Linear Mixed Model Analysis of Worldwide Longitudinal Infant Mortality Rate Data and Association with Human Development Index

A linear mixed model is used to determine the explaining infant mortality rate data of United Nations countries. The HDI （human development index） has a significant negative linear relationship with infant mortality rate. United Nations data shows that the infant mortality rate has a descending trend over the period 1990-2010. This study aims to assess the value of the HDI as a predictor of infant mortality rate. Findings in the paper suggest that significant percentage reductions in infant mortality might be possible for countries for controlling the HDI.

Impact of national Human Development Index on liver cancer outcomes: Transition from 2008 to 2018

BACKGROUND Liver cancer is the sixth most commonly diagnosed cancer and the fourth leading cause of cancer death worldwide.Socioeconomic development,indicated by the Human Development Index(HDI),is closely interconnected with public health.But the manner in which social development and medical advances influenced liver cancer patients in the past decade is still unknown.AIM To investigate the influence of HDI on clinical outcomes for patients with existing liver cancer from 2008 to 2018.METHODS The HDI values were obtained from the United Nations Development Programme,the age-standardized incidence and mortality rates of liver cancer were obtained from the GLOBOCAN database to calculate the mortality-toincidence ratio,and the estimated 5-year net survival of patients with liver cancer was provided by the CONCORD-3 program.We then explored the association of mortality-to-incidence ratio and survival with HDI,with a focus on geographic variability across countries as well as temporal heterogeneity over the past decade.RESULTS From 2008 to 2018,the epidemiology of liver cancer had changed across countries.Liver cancer mortality-to-incidence ratios were negatively correlated and showed good fit with a modified“dose-to-inhibition response”pattern with HDI(r=-0.548,P<0.0001 for 2018;r=-0.617,P<0.0001 for 2008).Cancer survival was positively associated with HDI(r=0.408,P<0.01)and negatively associated with mortality-to-incidence ratio(r=-0.346,P<0.05),solidly confirming the interrelation among liver cancer outcome indicators and socioeconomic factors.Notably,in the past decade,the HDI values in most countries have increased alongside a decreasing tendency of liver cancer mortality-to-incidence ratios(P<0.0001),and survival outcomes have simultaneously improved(P<0.001),with significant disparities across countries.CONCLUSION Socioeconomic factors have a significant influence on cancer outcomes.HDI values have increased along with improved cancer outcomes,with significant disparities among countries.

Human development index is associated with mortality-to-incidence ratios of gastrointestinal cancers

AIM:To identify the role of human development in the incidence and mortality rates of gastrointestinal cancers worldwide.METHODS:The age-standardized incidence and mortality rates for gastrointestinal cancers,including cancers of the esophagus,stomach,pancreas,liver,gallbladder,and colorectum,were obtained from the GLOBOCAN 2008 database and United States Cancer Statistics(USCS)report.The human development index(HDI)data were calculated according to the 2011 Human Development Report.We estimated the mortality-toincidence ratios(MIRs)at the regional and national levels,and explored the association of the MIR with development levels as measured by the HDI using a modified"drug dose to inhibition response"model.Furthermore,countries were divided into four groups according to the HDI distribution,and the MIRs of the four HDI groups were compared by one-way ANOVA followed by the Tukey-Kramer post-hoc test.Statespecific MIRs in the United States were predicted from the estimated HDI using the fitted non-linear model,and were compared with the actual MIRs calculated from data in the USCS report.RESULTS:The worldwide incidence and mortality rates of gastrointestinal cancers were as high as 39.4and 54.9 cases per 100000 individuals,respectively.Linear and non-linear regression analyses revealed an inverse correlation between the MIR of gastrointestinal cancers and the HDI at the regional and national levels(<0;P=0.0028 for regional level and<0.0001 for national level,ANOVA).The MIR differed significantly among the four HDI areas(very high HDI,0.620±0.033;high HDI,0.807±0.018;medium HDI,0.857±0.021;low HDI,0.953±0.011;P<0.001,oneway ANOVA).Prediction of the MIRs for individual United States states using best-fitted non-linear models showed little deviation from the actual MIRs in the United States.Except for 28 data points(9.93%of282),the actual MIRs of all gastrointestinal cancers were mostly located in the prediction intervals via the best-fit non-linear regression models.CONCLUSION:The inverse correlation between HDI and MIR demonstrates that more developed areas have a relatively efficacious healthcare system,resulting in low MIRs,and HDI can be used to estimate the MIR.

The Analysis of Human Development Index (HDI) for Categorizing the Member States of the United Nations (UN)

To categorize the nations to reflect the development status, to date, there are many conceptual frameworks. The Human Development index (HDI) that is published by the United Nations Development Programme is widely accepted and practiced by many people such as academicians, politicians, and donor organizations. However, though the development of HDI has gone through many revisions since its formulation in 1990, even the current version of the index formulation published in 2016 needs research to better understand and to gap-fill the knowledge base that can enhance the index formulation to facilitate the direction of attention such as release of funds. Therefore, in this paper, based on principal component analysis and K-means clustering algorithm, the data that reflect the measures of life expectancy index (LEI), education index (EI), and income index (II) are analyzed to categorize and to rank the member states of the UN using R statistical software package, an open source extensible programming language for statistical computing and graphics. The outcome of the study shows that the proportion of total eigen value (i.e., proportion of total variance) explained by PCA-1 (i.e., first principal component) accounts for more than 85% of the total variation. Moreover, the proportion of total eigen value explained by PCA-1 increases with time (i.e., yearly) though the amount of increase with time is not significant. However, the proportions of total eigen value explained by PCA-2 and PCA-3 decrease with time. Therefore, the loss of information in choosing PCA-1 to represent the chosen explanatory variables (i.e., LEI, EI, and II) may diminish with time if the trend of increasing pattern of proportion of total eigen value explained by PCA-1 with time continues in the future as well. On the other hand, the correlation between EI and PCA-1 increases with time although the magnitude of increase is not that significant. This same trend is observed in II as well. However, in contrast to these observations, the correlation between PCA-1 and LEI decreases with time. These findings imply that the contributions of EI and II to PCA-1 increase with time, but the contribution of LEI to PCA-1 decreases with time. On top of these, as per Hopkins statistic, the clusterability of the information conveyed by PCA-1 alone is far better than the clusterability of the information conveyed by PCA scores (i.e., PCA-1, PCA-2, and PCA-3) and the explanatory variables. Therefore, choosing PCA-1 to represent the chosen explanatory variables is becoming more concrete.

An Analytic Study on Internal Linkages Between Human Development and Globalization

Globalization is often understood as increasing global economic integration, global forms of governance, and globally inter-linked social and environmental developments. The target of this paper~ is to demonstrate the connection among human development, globalization, and institutional quality. The second part provides the methodology of measuring the overall globalization with an emphasis on the 2011 Konjunkturforschungsstelle （KOF） Globalization Index. The KOF Globalization Index includes economic, social, and political contexts. The third part shortly introduces one of the parameters of institutional quality--Human Development Index （HDI） （or rather Inequality-adjusted Human Development Index （IHDI） as the real indicator of the level of human development） and its methodology and results. For the analysis, two out of three dimensions of IHDI were used （long and healthy life and access to education） and two dimensions of Globalization Index were employed （social and political globalization）. The third part compares indices and scores together, analyzes them, and assesses the relationships between the HDI and the Globalization Index. It is possible to conclude from the results achieved in the study that the social globalization has stronger linkages with human development than with the political globalization, yet, spurring growth rates and reduced poverty in countries with poor institutions cannot be achieved simply by globalizing their economies.

Fuzzy Comprehensive Evaluation of Training Effect on Human Resource Development

On the basis of the essential connotation of the training effect on human resource development and the basic principles of setting up a index system, the evaluation index system of the training effect on human resource development in enterprises has been established. It evaluates the training effect on human resource development with the method of fuzzy comprehensive evaluation and achieves better results. It also provides a scientific, practical and quantitative method for the systematic analysis and comprehensive evaluation of the training effect on human resource development.

Sustainable Urban Development Evaluation of Shanghai:An Ecological Wellbeing Performance Perspective

Against the backdrop of aggravating resource and environment restriction,it is an inevitable choice to adopt the sustainable development pattern to maximize social well-being within the ecological threshold.From the perspective of ecological well-being performance,ecological footprint per capita and human development index were selected to construct the evaluation index system for sustainable urban development,and DEA applied to calculate the input-output efficiency,so as to analyze the sustainable development level of Shanghai from 1999 to 2012.The results showed that①human development index,ecological footprint per capita of Shanghai grew in step with economic development,but ecological footprint per capita level exceeded the ecological carrying capacity,thus the overall ecological conditions remained in the state of worsening "deficit";②ecological well-being performance of Shanghai in most years remained in the DEA ineffective state,and the scale return had decreased gradually since 2005.In addition,the paper gave pertinent suggestions.

Mining Contribution to Municipalities Development

Mining activity in Brazil has significantly contributed to the country development.However,this contribution is not always fully noticed by society.This study aims to bring more evidence to this mining activity contribution,based on highly regarded development indicators,such as the HDI(Human Development Index),created by the UNDP(United Nations Development Programme).The HD1 was traditionally designed as an instrument to evaluate the degree of countries development and was subsequently deployed to states and municipalities(IDHM(Municipal Human Development Index)for Brazilian municipalities).In addition to lDHM released by the UNDP,FIRJAN(Federation of the Industries of the State of Rio de Janeiro)developed its own IFDM(FIR JAN Municipal Development Index).The statistical analysis shows that the average of the municipalities with mining activities has superior development indices than those with non-mining activities,especially in the two major mining states:Minas Gerais and Parfi.

Training and Rural Development in Some Countries of the European Union

The aim of this research was to value, using a multiple regression model, the role of knowledge to guarantee the development in rural areas of European Union countries over 10 years. The main question was to find out relationships among some variable, as the percentage of national Gross Domestic Product （GDP） used to improve the high training, and rural development in terms of agricultural labour units. The results underlined in 2001 as an high value of rural development, in terms of working force in agriculture, was identified in some countries of European Union characterised by a low value both in high training investments and also by a low value of Human Development Index, according to the definition of The Economist. The results in 2010 pointed out an inverse correlation among the dependent variable development in rural areas and the independent variables per capita GDP and national expenditure in advanced training, in percentage of national GDP. The learning by doing and by using, the introduction of advanced training in agriculture, using Long Life Learning measures of European Union, are important to improve the development of European rural areas but, sometimes, these actions are not perceived as something of useful.

Evaluation of the sustainable development level of countries along the Belt and Road and its impact factors:Empirical analysis based on the Super-efficiency slacks-based measure and Tobit measure models

Sustainable development is an important component of the Belt and Road Initiative(BRI)and is of great significance for evaluating the levels of sustainable development of countries along this route(henceforth,BRI countries).Therefore,this study aims to identify the factors that influence the levels of sustainable development of BRI countries in a reasonable and objective manner.Eventually,this study employs the super efficiency slacks-based measure(Super-SBM)model,which considers unexpected outputs to measure the level of sustainable development of BRI countries.The dynamic change and composition of the sustainable development level of these countries are calculated using the global Malmquist-Luenberger index.Furthermore,the Tobit model is used to identify the factors influencing the level of sustainable development of BRI countries in general and in various categories.The empirical results suggest the following points.(a)The overall level of sustainable development of BRI countries is low,whereas those of high-income and middle-and high-income countries are relatively high.(b)The overall sustainable development levels of BRI countries declined to a certain extent in 2008 owing to the effect of the financial crisis,.However,the sustainable development level of other countries,barring low-income countries,has gradually increased since 2011.(c)Since 2008,technological progress has replaced technical efficiency as the main driving force behind the improvement of the sustainable development level of BRI countries.(d)A U-shaped relationship is observed between the economic and sustainable development levels of these countries.(e)The level of science and technology and the proportion of renewable energy consumption can promote the sustainable development of these countries.Moreover,a negative correlation exists between the level of opening to the outside world and that of sustainable development of countries that mainly export resource-based products and are dominated by labor-intensive export industries.Barring low-income countries,the energy structure plays an effective role in improving the level of sustainable development.Finally,the study presents suggestions for China in the process of coping with the sustainable development of relevant countries during its promotion of the BRI.

Calculation and Measurement of China’s Human Capital after Comparing Human Capital with Technological Innovation

Human capital,as a synthesis of wisdom and physical fitness condensed in workers,is sometimes confused with technological innovation by existing literature.This paper makes comparisons between these two terminologies.Technological innovation is a short-term activity that attaches importance to economic benefits while human capital accumulation is a long-term strategic process with lifelong benefits,and human capital is the foundation of technological innovation.In empirical part,this paper adopts Solow Residual Method to calculate stock,elasticity and growth rate of human capital of 10 countries after eliminating physical capital,labor force and technological innovation.It is found that human capital stock in the United States is the largest and human capital growth in China is the fastest.Calculation is followed by measurement.We construct a comprehensive index of human capital by using Index Weight Assignment Method and Two-level&Three-factor CES Function to measure and predict human capital level in China.Both calculating and measuring results show that growth rate of China’s human capital is around 5%.In the future,for high-quality economic development,China should give priority to human capital development and comprehensively improve human capital competitiveness.

A Study of Resource Curse Effect of Chinese Provinces Based on Human Developing Index

Traditional opinion considers that natural resources play an important positive role in economic development, while resource curse theory holds that natural resources usually obstruct economic increase. This debate needs further exploration. In most of empirical studies on resource curse theory, the economic development of an area is mainly evaluated by the Gross Domestic Product(GDP), however, the social and cultural contents of economic development are seldom considered. Thus, the Human Developing Index(HDI) was chosen to describe the comprehensive developing situation of an area in our study. Based on the panel data from the year of 2000 to 2011, the relationship between Human Developing Index and resource exploitation degree(RED) of 30 provinces in China(Tibet, Taiwan, Hong Kong and Macao were not included because of the restriction of data acquisition) was investigated by correlation coefficient analysis and regression analysis. We found that resource curse did exist over the entire country and its effect on 30 provinces were not exactly the same. According to the effects of resource curse, these provinces could be classified into four types: no resource curse provinces, slight resource curse provinces, severe resource curse provinces, and extreme resource curse provinces. Testing from two short time periods 2000–2005, and 2006–2011, the resource curse effect was not prominent. However, testing from the entire period of 2000–2011, the effect was obvious among each province.

Theoretical Connotation and Quantitative Measurement of Common Prosperity

It is of great importance to fully understand the connotation of and identify a quantitative method to measure common prosperity in China.This paper starts with a theoretical framework of fairness,efficiency,development,and shared prosperity,draws upon the proper understanding of common prosperity with Chinese characteristics,and explores a globally quantitative measurement of common prosperity,with a focus on the outcomes of national prosperity and prosperity for all.Furthermore,this paper discusses the assumptions and mathematical expressions of the quantitative function and analyzes the structural implications of indicator dimensions,functional relations,and variable standardization to ultimately provide a solid quantitative foundation for promoting common prosperity.The findings show that the quantitative measurement of common prosperity proposed in this paper performs stably in terms of weights,thresholds,and indicator settings.Based on the data of 162 economies collected between 1990 and 2020,this paper finds that China has made great progress in promoting common prosperity,which showcases the strengths of the country’s socialist system.

Human Settlement Analysis Based on Multi-temporal Remote Sensing Data： A Case Study of Xuzhou City, China

To evaluate urban human settlement, we propose a human settlement environment development index(HSEDI) model by choosing vegetation coverage, land surface temperature, impervious surfaces, slope, wetness, and water condition as the evaluation factors. We applied the proposed model to Xuzhou City, Jiangsu Province, China. Landsat-5 Thematic Mapper(TM) images from 1998 to 2010 and digital elevation model(DEM) data with a 30-m resolution were used to calculate the values of the six evaluation factors. The HSEDI value in Xuzhou City was found to be between 2.24 and 8.10 from 1998 to 2010, and it was further divided into five levels, uninhabitable, moderately uninhabitable, generally inhabitable, moderately inhabitable, and inhabitable. The best HSEDI value was in 2007. The generally inhabitable region was about 100.98 km^2, covering 30.87% of the total area in 2007; the moderately inhabitable region was about 170.58 km2 covering 52.15% of the total area; the inhabitable region was about 32.03 km^2, covering 9.79% of the total area; the percentage of the uninhabitable region was zero; and that of the moderately uninhabitable region was very small, less than 1.00%. Moreover, we analyzed the habitability in the respect of spatial patterns and change detection. Results show that the degraded regions of habitability quality are mainly located in the urban fringe and the improved regions are mainly located in the main urban and rural areas. Reason for the degraded habitability quality is the rapid progress of urbanization. However, the increase in urban green spaces and the construction of the main urban area promoted the improved habitability quality. Besides, we further analyzed socio-economic and socio-demographic data to confirm the results of the habitability analysis. The results indicate that the human settlement in Xuzhou City is in a satisfactory condition, but some efforts should be made to control the possible uninhabitable and moderately uninhabitable regions, and to improve the quality of the generally inhabitable regions.

中国新质生产力的发展水平和演进趋势

新质生产力的测算是研究新质生产力发展水平的基础,但当前关于新质生产力的评价指标体系和测度方法尚处于探索阶段。鉴于新质生产力是质和量的统一、能力和效率的统一、现实性和可比性的统一,依据生产力理论,结合高质量发展的现实要求,以及新质生产力在科技创新、要素提升、生产组织等方面的特征,系统分析新质生产力的本质要求、构成要素、实现途径、培育载体和支撑环境,在此基础上构建包括技术、要素、数字、产业和环境五维度的指标体系,对中国30个省份2022—2022年的新质生产力发展水平进行测度,并分析其发展格局和演进趋势。结果表明:30个省份新质生产力发展水平增长较快,但区域差异、经济带差异、城市差异明显;要素生产力保持较高水平,数字生产力和创新生产力加快发展,绿色生产力和产业生产力成为发展的短板。其中,从区域格局来看,东部高于30个省份的平均水平,中西部和东北地区低于30个省份的平均水平;从经济格局来看,长江经济带最高,其次是泛珠三角,而丝绸之路经济带低于30个省份的平均水平;从城市格局来看,三大城市群从高到低依次为珠三角、长三角、京津冀,并且均高于30个省份的平均水平。

基于人力资本与科技研发双重调节下高等教育集聚对经济增长的影响机理研究

研究基于新地理经济学,利用我国31个省份2009—2020年的面板数据,通过空间杜宾模型实证分析高等教育集聚对经济增长的影响及空间溢出效应。研究发现,我国高等教育集聚与经济发展均呈现出由东向西逐渐减弱的分布特征;高等教育集聚对本地区经济增长有着显著的正向影响,空间溢出效应显著;与人力资本的交互项不显著;与科技研发的交互项对本地区经济增长具有显著正向影响,且空间溢出效应均不显著;人力资本与科技研发对高等教育集聚与经济增长之间的联合调节作用显著,空间溢出效应显著。为此,不仅要提高我国高等教育质量,重视中西部高等教育的发展,还要聚焦人才培养、引进、科技研发,实现人力资本与科技研发的有效结合,发挥高等教育的经济增长效应。

我国非基本公共服务发展的基础与路径

非基本公共服务属于公共服务的一种类型,对满足人民日益增长的美好生活需要有重要意义。但从公共物品角度看,它不完整具备排他性和非竞争性,而是处于公共物品与私人物品之间的“中间地带”。我国公共服务领域正处于两类公共服务需求交融叠加的时期,基本公共服务均等化仍在进行中,非基本公共服务需求日益增加。聚焦于发展非基本公共服务的原因、基础和路径等问题,从收入、公共服务供给水平、我国社会基本矛盾的角度分析非基本公共服务的发展前提,可以通过“分步走”战略方式分阶段、分重点推动实现中国式公共服务现代化,为提高世界人类发展指数提供“中国智慧”和“中国方案”。

2022年全球及中国肺癌流行状况分析

目的根据国际癌症研究机构发布的2022年全球癌症统计报告,结合性别、年龄、人类发展指数(HDI)等特征分析2022年全球及中国肺癌发病和死亡情况。方法全球185个国家和地区的肺癌数据来源于GLOBOCAN 2022数据库,HDI根据联合国开发计划署公布的《2021年人类发展报告》数据进行整理。将癌症数据进行年龄、性别、HDI分层,描述全球及中国肺癌流行情况。采用Pearson相关分析评估年龄标化发病率(ASIR)、年龄标化死亡率(ASMR)及死亡发病比(M/I)与HDI之间的相关性。结果2022年全球肺癌总发病人数为248.1万,位列各癌种发病人数的第1位,ASIR(23.6/10万)位列各癌种的第3位;全球肺癌总死亡人数为181.7万,位列各癌种死亡人数的第1位,ASMR(16.8/10万)位列各癌种的第1位。2022年中国肺癌总发病人数为106.1万,占全球肺癌发病人数的42.8%,位列中国各癌种的第1位,ASIR(40.8/10万)位列中国各癌种的第1位;中国肺癌总死亡人数为73.3万,占全球肺癌死亡人数的40.4%,位列中国各癌种的第1位,ASMR(26.7/10万)位列中国各癌种的第1位。全球及中国男性肺癌发病人数、ASIR、死亡人数、ASMR均高于女性。全球及中国肺癌发病人数、ASIR、死亡人数、ASMR随年龄增长呈现上升趋势,40~44岁年龄组之后增长迅速。各个国家和地区ASIR、ASMR与HDI呈正相关(r=0.7393、0.6865,均P<0.0001),M/I与HDI呈负相关(r=-0.6881,P<0.0001)。结论全球及中国肺癌疾病负担严重,流行情况在不同HDI水平的国家和地区、性别、年龄别之间存在差异。