China Approves Four New foreign Insurers

Four more foreign insurance companieshave been given approval to open branchesor set up joint ventures in China by theInsurance Regulatory Commission.They

On the Role of Consumer Preferences in the Coordination among Health Insurers under Regulated Competition

This paper addresses the coordination problem of price and quality setting insurers, arising on the health insurance market under regulated competition, as introduced, for instance, in the Netherlands in 2006. We use an experimental study to gain novel insights on the impact of the uncertainty about consumer preferences on the coordination problem. This fundamental uncertainty implies uncertainty about the identity of the payoff dominant equilibrium, while the risk dominant equilibrium is independent of the state of the world. The experimental results show that insurers are more likely to coordinate on the payoff dominant equilibrium under incomplete information. When insurers face not only strategic but also fundamental uncertainty in the coordination problem, they delay the response to the risk dominant strategy, and persist longer in trying to coordinate on the payoff dominant equilibrium. For the market we study, this implies that the co-ordination under incomplete information will result in consumers paying higher prices, in contrast to the original objectives of the regulated competition.

China’s Aging Population Brings Opportunities for Insurers

The rapidly aging population in China is a great challenge for the country’s development and social security system, while it presents opportunities for insurance companies,according to a recent report by The Boston Consulting Group (BCG) and Swiss Re.

Study of Volatility Stochastic Processes in the Context of Solvency Forecasting for Sri Lankan Life Insurers

The main business of Life Insurers is Long Term contractual obligations with a typical lifetime of 20 - 40 years. Therefore, the Solvency metric is defined by the adequacy of capital to service the cash flow requirements arising from the said obligations. The main component inducing volatility in Capital is market sensitive Assets, such as Bonds and Equity. Bond and Equity prices in Sri Lanka are highly sensitive to macro-economic elements such as investor sentiment, political stability, policy environment, economic growth, fiscal stimulus, utility environment and in the case of Equity, societal sentiment on certain companies and industries. Therefore, if an entity is to accurately forecast the impact on solvency through asset valuation, the impact of macro-economic variables on asset pricing must be modelled mathematically. This paper explores mathematical, actuarial and statistical concepts such as Brownian motion, Markov Processes, Derivation and Integration as well as Probability theorems such as the Probability Density Function in determining the optimum mathematical model which depicts the accurate relationship between macro-economic variables and asset pricing.

INSURE技术联合T-piece治疗新生儿呼吸窘迫综合征的临床有效性

目的探讨新生儿呼吸窘迫综合征(respiratory distress syndrome,RDS)采用INSURE技术+Tpiece方法完成治疗的有效性。方法回顾性选取2023年1—12月齐齐哈尔医学院附属第二医院收治的50例RDS患儿的临床资料,根据不同的治疗方法分为对照组(25例,复苏囊+INSURE技术)、研究组(25例,INSURE技术+T-piece方法)。比较两组血氧饱和度最低值、平均吸氧浓度、鼻塞持续气道正压通气应用时间、心率、并发症发生率。结果研究组血氧饱和度最低值为(90.79±3.59)%,高于对照组的(81.33±2.85)%,差异有统计学意义(t=10.319,P<0.05)。研究组平均吸氧浓度、鼻塞持续气道正压通气应用时间、心率优于对照组,差异有统计学意义(P均<0.05)。两组并发症总发生率比较,差异无统计学意义(P>0.05)。结论临床对RDS患儿在治疗期间,将INSURE技术以及T-piece方法进行充分结合,可有效改善患儿的氧合及血气指标,促进病情康复。

Does community-based health insurance affect lifestyle and timing of treatment seeking behavior?Evidence from Ethiopia

Objectives This paper aims to investigate the effects of enrollment in the Ethiopian community-based health insurance(CBHI)scheme on household preventive care activities and the timing of treatment-seeking behavior for illness symptoms.There is growing concern about the financial sustainability of CBHI schemes in developing countries.However,few empirical studies have identified potential contributors,including ex-ante and ex-post moral hazards.Methods We implement a household fixed-effect panel data regression model,drawing on three rounds of household survey data collected face to face in districts where CBHI scheme is operational and in districts where it is not operational in Ethiopia.Results The findings show that enrolment in CBHI does not significantly influence household behaviour regarding preventive care activities such as water treatment before drinking and handwashing before meals.However,CBHI significantly increases delay in treatment-seeking behaviour for diseases symptoms.Particularly,on average,we estimate about 4-6 h delay for malaria symptoms,a little above 4 h for tetanus,and 10-11 h for tuberculosis among the insured households.Conclusions While there is evidence that CBHI improve the utilization of outpatient or primary care services,our study suggests that insured members may wait longer before visiting health facilities.This delay could be partly due to moral hazard problems,as insured households,particularly those from rural areas,may consider the opportunity costs associated with visiting health facilities for minor symptoms.Overall,it is essential to identify the primary causes of delays in seeking medical services and implement appropriate interventions to encourage insured individuals to seek early medical attention.

Chinese herbal medicine decreases incidence of hepatocellular carcinoma in diabetes mellitus patients with regular insulin management

BACKGROUND Type 2 diabetes mellitus(DM)is an independent risk factor for hepatocellular carcinoma(HCC),while insulin is a potent mitogen.Identifying a new therapeutic modality for preventing insulin users from developing HCC is a critical goal for researchers.AIM To investigate whether regular herbal medicine use can decrease HCC risk in DM patients with regular insulin control.METHODS We used data acquired from the Taiwan,Chinaese National Health Insurance research database between 2000 and 2017.We identified patients with DM who were prescribed insulin for>3 months.The herb user group was further defined as patients prescribed herbal medication for DM for>3 months per annum during RESULTS We initially enrolled 657144 DM patients with regular insulin use from 2000 to 2017.Among these,46849 patients had used a herbal treatment for DM,and 140547 patients were included as the matched control group.The baseline variables were similar between the herb users and nonusers.DM patients with regular herb use had a 12%decreased risk of HCC compared with the control group[adjusted hazard ratio(aHR)=0.88,95%CI=0.80–0.97].The cumulative incidence of HCC in the herb users was significantly lower than that of the nonusers.Patients with a herb use of>5 years cumulatively exhibited a protective effect against development of HCC(aHR=0.82,P<0.05).Of patients who developed HCC,herb users exhibited a longer survival time than nonusers(aHR=0.78,P=0.0001).Additionally,we report the top 10 herbs and formulas in prescriptions and summarize the potential pharmacological effects of the constituents.Our analysis indicated that Astragalus propinquus(Huang Qi)plus Salvia miltiorrhiza Bunge(Dan Shen),and Astragalus propinquus(Huang Qi)plus Trichosanthes kirilowii Maxim.(Tian Hua Fen)were the most frequent combination of single herbs.Meanwhile,Ji Sheng Shen Qi Wan plus Dan Shen was the most frequent combination of herbs and formulas.CONCLUSION This large-scale retrospective cohort study reveals that herbal medicine may decrease HCC risk by 12%in DM patients with regular insulin use.

微管注入PS与INSURE技术治疗早产儿RDS的临床效果评价

目的探讨微管注入肺表面活性物质(PS)技术与气管插管-PS给药-拔管(INSURE)技术治疗≥30周早产儿呼吸窘迫综合征(RDS)的临床效果。方法选取RDS早产儿80例,按随机数表法分为观察、对照2组各40例。对照组采用INSURE技术,观察组采用微管注入(LISA)技术给与PS治疗。比较2组临床疗效、血气指标(PaO_(2)、PaCO_(2)和pH值)、脑血流动力学参数(PSV、EDV和RI)、临床相关指标和出院前病死率及并发症发生率。结果观察组患儿疗效高于对照组(P<0.05)。观察组患儿治疗后PaO_(2)、pH值均高于对照组,PaCO_(2)低于对照组(P<0.05)。2组患儿T0~T3时PSV、EDV、RI水平比较差异无统计学意义(P>0.05)。观察组患儿氧疗时间、插管用时均短于对照组(P<0.05);2组无创通气时间、住院时间及出院前病死率比较差异无统计学意义(P>0.05)。2组患儿治疗期间并发症发生率比较差异无统计学意义(P>0.05)。结论LISA和INSURE技术给予PS技术治疗早产儿RDS,可显著提高临床疗效,改善患儿血气指标。

China Continues to Be World’s Second Largest Insurance Market

Allianz Group recently released the Allianz Global Insurance Report,predicting that China will consolidate its position as the world’s second largest insurance market in the next decade.The report analyzes the business performance of the global insurance market in 2023 and forecasts the development direction and trends of the global insurance industry in the next decade.2023:A year of significant growth According to the report,in 2023,the global insurance industry grew by an impressive 7.5%,which is the fastest rate since the pre-Global Financial Crisis(GFC)era.

The Extreme Machine Learning Actuarial Intelligent Agricultural Insurance Based Automated Underwriting Model

The paper presents an innovative approach towards agricultural insurance underwriting and risk pricing through the development of an Extreme Machine Learning (ELM) Actuarial Intelligent Model. This model integrates diverse datasets, including climate change scenarios, crop types, farm sizes, and various risk factors, to automate underwriting decisions and estimate loss reserves in agricultural insurance. The study conducts extensive exploratory data analysis, model building, feature engineering, and validation to demonstrate the effectiveness of the proposed approach. Additionally, the paper discusses the application of robust tests, stress tests, and scenario tests to assess the model’s resilience and adaptability to changing market conditions. Overall, the research contributes to advancing actuarial science in agricultural insurance by leveraging advanced machine learning techniques for enhanced risk management and decision-making.

INSURE策略治疗早产儿呼吸窘迫综合征失败的危险因素分析

新生儿呼吸窘迫综合征(RDS)是因缺少肺泡表面活性物质(PS),导致新生儿肺发育不成熟,引起呼吸功能障碍的严重肺部疾病~([1])。该疾病多发于胎龄在34周以下的早产儿,主要症状为呼吸困难逐渐加重等,严重影响患儿生命健康,具有较高的病死率~([2])。

Automated Actuarial Data Analytics-Based Inflation Adjusted Frequency Severity Loss Reserving Model

In this paper, the Automated Actuarial Loss Reserving Model is developed and extended using machine learning. The traditional actuarial reserving techniques are no longer compatible with the increase in technological advancement currently at hand. As a result, the development of the alternative Artificial Intelligence Based Automated Actuarial Loss Reserving Methodology which captures diverse risk profiles for various policyholders through augmenting the Micro Finance services, Auto Insurance Services and Both Services lines of business on the same platform through the computation of the Comprehensive Automated Actuarial Loss Reserves (CAALR) has been implemented in this paper. The introduction of the four further types of actuarial loss reserves to those existing in the actuarial literature seems to significantly reduce lapse rates, reduce the reinsurance costs as well as expenses and outgo. As a matter of consequence, this helps to bring together a combination of new and existing policyholders in the insurance company. The frequency severity models have been extended in this paper using ten machine learning algorithms which ultimately leads to the derivation of the proposed machine learning-based actuarial loss reserving model which remarkably performed well when compared to the traditional chain ladder actuarial reserving method using simulated data.

Telematics as a Transformative Agent for the Zimbabwean Auto Insurance Ecosystem

Zimbabwe has witnessed the evolution of Information Communication Technology (ICT). The vehicle population soared to above 1.2 million hence rendering the Transport and Insurance domains complex. Therefore, there is a need to look at ways that can augment conventional Vehicular Management Information Systems (VMIS) in transforming business processes through Telematics. This paper aims to contextualise the role that telematics can play in transforming the Insurance Ecosystem in Zimbabwe. The main objective was to investigate the integration of Usage-Based Insurance (UBI) with vehicle tracking solutions provided by technology companies like Econet Wireless in Zimbabwe, aiming to align customer billing with individual risk profiles and enhance the synergy between technology and insurance service providers in the motor insurance ecosystem. A triangulation through structured interviews, questionnaires, and literature review, supported by Information Systems Analysis and Design techniques was conducted. The study adopted a case study approach, qualitatively analyzing the complexities of the Telematics insurance ecosystem in Zimbabwe, informed by the TOGAF framework. A case-study approach was applied to derive themes whilst applying within and cross-case analysis. Data was collected using questionnaires, and interviews. The findings of the research clearly show the importance of Telematics in modern-day insurance and the positive relationship between technology and insurance business performance. The study, therefore revealed how UBI can incentivize positive driver behavior, potentially reducing insurance premiums for safe drivers and lowering the incidence of claims against insurance companies. Future work can be done on studying the role of Telematics in combating highway crime and corruption.

Research on Reimbursement Management of Innovative Drugs Abroad and Its Enlightenment to China

Objective To analyze the reimbursement policies of innovative drugs in some developed countries,and to provide reference for future reimbursement management in China.Methods Literature research method was used to study the policies related to the reimbursement management of innovative drugs in Germany,France and Japan,and their successful experience was summarized.Results and Conclusion China should establish an open and transparent value evaluation standard to improve the medical insurance reimbursement management of innovative drugs.Besides,the value of innovative drugs should be taken as an important basis for reimbursement decisions,and an independent third-party value evaluation agency must be established.

Analysis of Drug Medical Insurance Access Pricing Based on the Perspective of Binary Equilibrium

Objective To study the influencing factors in the process of national medical insurance negotiation and drug pricing from the dualistic equilibrium perspective,and to provide reference for the harmonious management of drug pricing in China.Methods Through the literature analysis and policy review,the pricing subject,pricing basis and price control system in the pricing process of medical-accessed medicines were analyzed from the perspective of binary equilibrium and harmonious management.Results and Conclusion It is found that four balances in the drug pricing process,two balances in pricing basis and three balances in price control system need to be considered,respectively.Drug pricing is the key content of national medical insurance access,which is also the hotspot of the policy in the pharmaceutical fields in recent years.Drug pricing not only reflects the value of drugs,but also reflects a lot of top-level designs of binary equilibriums in medical insurance policy.While the rational design of drug pricing requires the joint efforts of the government,pharmaceutical companies and relevant experts to comprehensively consider many equilibriums,so as to improve the relevant systems.

Research on the Establishment of a Long-Term Care System for the Elderly with Alzheimer’s Disease Under the Background of Long-Term Care Insurance: A Literature Review

With the aging of the country’s population structure,the problem of social pensions is becoming more and more serious.As for the issue of social pension,the elderly with Alzheimer’s disease are a special group,and the issue of care services for these elderly has attracted widespread attention from society.However,judging from the current level of social security provided to the elderly with dementia in the country,there is a serious imbalance between supply and demand.Therefore,this problem needs to be solved urgently and is of great significance for further improving the country’s social pension security system.Routine care is limited to hospitals and mainly focuses on the patient’s condition.Patients fail to receive comprehensive care services and the effect is not ideal.Therefore,in order to improve patients’cognitive function and quality of life,and learn from international experience,a“community-institution-home”three-dimensional linkage care model based on long-term care insurance can be established.The application of this model can effectively solve and further improve the country’s elderly care and social security system.

Optimal Insurance with Background Risk under the Ambiguity and Belief Heterogeneity Structure

In this paper, we discuss the optimal insurance in the presence of background risk while the insured is ambiguity averse and there exists belief heterogeneity between the insured and the insurer. We give the optimal insurance contract when maxing the insured’s expected utility of his/her remaining wealth under the smooth ambiguity model and the heterogeneous belief form satisfying the MHR condition. We calculate the insurance premium by using generalized Wang’s premium and also introduce a series of stochastic orders proposed by [1] to describe the relationships among the insurable risk, background risk and ambiguity parameter. We obtain the deductible insurance is the optimal insurance while they meet specific dependence structures.

A Market Model of Risk Transfer and Insurance

We introduce a model of a market where risk-averse consumers pay a fee to transfer their future losses to one or more firms.The future loss of each consumer is stochastic with a unique,known mean and variance.The law of large numbers allows the firms to know with certainty the expected aggregate loss of the consumers to whom they sell.The model could describe the behavior of agents in the market for property insurance where an insurance company sells a single type of policy to a specific group of consumers based upon the expected losses of those consumers and their willingness to pay for coverage.The model demonstrates how a single firm can choose the optimal segment of the market to which they sell a policy and how that choice might change when the distribution of consumers and their risk aversion changes.The model also demonstrates how two firms might engage in a cooperative strategy and share the market.The model shows how a firm entering the market will find it more advantageous to target a segment of the market with consumers that have a lower expected loss.

LISA技术在新生儿呼吸窘迫综合征中的应用

本研究旨在评估微创肺表面活性物质给药(LISA)技术在新生儿呼吸窘迫综合征(NRDS)治疗中的应用价值。方法 在2019年1月至2023年1月期间,收集了100份与新生儿呼吸窘迫综合征(NRDS)相关的病历资料。所有就医资料在细致地整理归档、条理化之后,采用随机数字法确定将病患儿童随机分入两个不同组别:一组由50例组成,这些案例采取了传统INSURE治疗进行处理;而另一组同样由50例构成,却使用了LISA技术来进行治疗。本项研究着力于分析两组对象在使用呼吸机的时间、吸氧时间、住院时间、PS药物剂量以及血液气体分析结果(包括PaCO2、PaO2、SaO2、OI)和心脏与循环系统的性能参数(涉及PVR、EVLW、mPAP、RVSWI)和氧化应激指标(包含AOPPs、8-OHdG)在这些方面的对比差异。结果 LISA组在机械通气时间和住院时间上均显著短于传统组,PS用药剂量亦显著减少。治疗后24小时内,LISA组的PaCO2显著低于传统组,而PaO2、SaO2和OI显著高于传统组。在PVR、EVLW、mPAP降低幅度以及RVSWI提高幅度方面,LISA组亦显著优于传统组。两组治疗后的血清AOPPs和8-OHdG水平均有显著下降,且LISA组降幅更为显著。在心动过缓、机械通气和重复给予PS的发生率方面,LISA组均显著低于传统组。结论 采用LISA技术对新生儿呼吸困难症进行治疗,不仅提升了婴儿的供氧能力和循环效率,还减少了心率缓慢、机械通气依赖以及重复使用肺表面活性物质的需求,进而大幅降低了氧化应激。研究表明,相较于传统的INSURE疗法,LISA手法能带来更佳的治疗成果和更高的患者安全水平,因此,在临床上作为一种新颖且有效的NRDS疗法,其推广应用价值显著。