对广东省流动人口婚育问题的初探

:广东是我国流动人口最多的省份,流动人口的婚育问题也成为研究的热点之一。本文首先对流动人口作了界定,并分析了广东流动人口的特征及其对婚育行为产生的正面和负面影响,这使计划生育管理面临巨大的压力。文章最后提出一些措施以图化解流动人口的婚育问题带给城市的压力     

城市迁移人口及管理问题探讨

改革开放以来中国城市人口增长的最主要来源是人口的迁移增长 ,因此城市人口管理体制的重要一环是城市人口迁移的管理。本文根据城市人口迁移管理体制及其相关的问题进行分析 ,提出了要科学地依据自然资源与社会资源测定城市的人口承载力 ,对人口迁移增长的控制有科学的根据 ,对人口迁移增长有目标、有规划 ,并对城市人口迁移进行科学管理的创见     

Zero-inflated sum of Conway-Maxwell-Poissons (ZISCMP) regression

While excess zeros are often thought to cause data over-dispersion (i.e. when the variance exceeds the mean), this implication is not absolute. One should instead consider a flexible class of distributions that can address data dispersion along with excess zeros. This work develops a zero-inflated sum-of-Conway-Maxwell-Poissons (ZISCMP) regression as a flexible analysis tool to model count data that express significant data dispersion and contain excess zeros. This class of models contains several special case zero-inflated regressions, including zero-inflated Poisson (ZIP), zero-inflated negative binomial (ZINB), zero-inflated binomial (ZIB), and the zero-inflated Conway-Maxwell-Poisson (ZICMP). Through simulated and real data examples, we demonstrate class flexibility and usefulness. We further utilize it to analyze shark species data from Australia's Great Barrier Reef to assess the environmental impact of human action on the number of various species of sharks.     

Improved two-parameter estimators for the negative binomial and Poisson regression models

Negative binomial regression (NBR) and Poisson regression (PR) applications have become very popular in the analysis of count data in recent years. However, if there is a high degree of relationship between the independent variables, the problem of multicollinearity arises in these models. We introduce new two-parameter estimators (TPEs) for the NBR and the PR models by unifying the two-parameter estimator (TPE) of Özkale and Kaç?ranlar [The restricted and unrestricted two-parameter estimators. Commun Stat Theory Methods. 2007;36:2707–2725]. These new estimators are general estimators which include maximum likelihood (ML) estimator, ridge estimator (RE), Liu estimator (LE) and contraction estimator (CE) as special cases. Furthermore, biasing parameters of these estimators are given and a Monte Carlo simulation is done to evaluate the performance of these estimators using mean square error (MSE) criterion. The benefits of the new TPEs are also illustrated in an empirical application. The results show that the new proposed TPEs for the NBR and the PR models are better than the ML estimator, the RE and the LE.     

Finding the vulnerable among China’s elderly: identifying measures for effective policy targeting

Facing a rapidly aging population, China has recently started to formulate and implement policies with the aim to provide old-age care. While well-developed old-age care policies commonly include a built-in component that assesses eligibility based on vulnerability, no such process is established in the context of China. Here, based on data from the China Health and Retirement Longitudinal Study collected in both 2011 and 2013, we (a) developed a simple and effective strategy for identifying vulnerable Chinese elderly, which can serve as a basis for policy targeting, and (b) improved the policy relevance and targeting efficiency of this vulnerability measure by including additional health indicators. Our vulnerability measures identify 35% to 46% of Chinese elderly as vulnerable, covering up to 67% of elderly at high risk of death or functional decline. They can serve as an initial screening step for more comprehensive geriatric assessments and enable policy makers to effectively target vulnerable elderly persons in China.     

Population aging and long-term care policies in the Gulf region: a case study of Oman

Population aging is a phenomenon occurring across the globe including in countries traditionally exhibiting population dividends and “youth bulges.” The Gulf Corporation Council countries are no exception as they currently experience a process of population aging, albeit at a different stage from many developed countries. However, due to historically high fertility rates and fast-paced epidemiological transition, some of these countries will experience population aging at a higher pace than what has been observed in Europe and the United States. This article reviews recent developments in long-term care policies in the Gulf region with a focus on Oman as an example of a high-income Arab country that is experiencing population aging while still being governed by traditional family aged-care norms. Utilizing existing data and published research complemented by policy analysis and field visits, we analyze the process of population aging in Oman and neighboring countries and its policy implications.     

人口较少民族经济向现代经济转变的路径分析

在阐述路径依赖理论的基础上,结合人口较少民族经济的特点对人口较少民族经济向现代经济转变的路径进行了分析,提出要辩证地看待人口较少民族传统经济在这一转变中的影响和作用,认为人口较少民族实现经济转变的首要问题是打破经济封闭和信息封闭,在此基础上,将自身的特色优势与区域优势有效结合起来,将传统经济中的积极因素与现代经济因素有效结合起来,走因地制宜、循序渐进的转变路径。     

四川少数民族人口发展路径探析

从人口数量、质量、结构三个方面分析四川少数民族人口发展现状,发现少数民族人口发展与区域资源环境、经济社会发展不协调带来了诸多问题,如人口增长过快导致的人均耕地锐减、环境恶化、就业压力增大,人口质量难以满足经济社会发展的需要,人口城市化滞后的消极效应等。为此,实现少数民族人口现代化的路径需控制人口数量、提高人口素质、推进人口城市化。     

人口变动的生态经济效应分析

人口数量的增长、人口生活质量的提高、人口增长分布的不均都有可能导致生态环境的恶化。按照现行的衡量标准,生活质量的提高在某种程度上对生态环境的影响更大。控制住人口不仅能提高我们的生活质量,而且能为我们提供一个适宜的生存环境。生活质量的提高不仅仅体现在GDP的增加上,更应体现在生态环境的优化上。     

我国人口老龄化的城乡差异及影响因素分析

人口的乡—城转移导致了老龄化城乡倒置现象,人口的单向跨区域流动也造成了我国大范围的地区年龄结构失衡,对我国的经济社会可持续发展造成威胁。基于2010—2019年大陆31个省市的面板数据,以人口老龄化系数为被解释变量,分别构建固定效应和随机效应模型,从人口、经济、社会三个方面研究我国城镇、农村人口老龄化和城乡倒置现象的影响因素以及三类因素在东、中、西部地区的不同表现。结果显示,人口因素是老龄化城乡差异的直接原因,经济因素是根本原因,教育、医疗、社会保障等社会因素在城乡、区域之间影响不一。为此,政府应当增强生育支持力度以提高生育率,推动城乡一体化发展,推动农村地区的养老服务建设,并鼓励区域的联动合作,以缓解老龄化集聚地区的人口压力。