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The purpose of this paper is to analyse the latest findings on the economic potential of ageing and compare them primarily from a consumables perspective. The relevant question relating to this research was: What are the economic consequences of the demographic development in relation to consumer demand for products and services in old age?

Narrative systematic publications were thoroughly reviewed and collated. A systematic search was carried out in journals, books, databases, the internet as well as within the scientific community from November 2012 to May 2013.

A total of 115 relevant scientific publications were identified in this review (from 1964 to 2013). In order to gain an actual overview of the relevant literature, the results show the most recent publications from 2000 to 2013.

There are three limitations within this paper: First, the search process used only four databases. Second, this review only took into account publications in English and German. Therefore, the review may fail to encompass all published literature. Finally, this study did not endeavour to evaluate the methodological quality of each scientific publication. Study findings were taken as reported.

This paper aims at analysing the economic potentials of ageing primarily from the perspective of consumption. The focus of this economics of ageing investigation is on the “demography-related” consequences in terms of the demand behaviour of the older consumers (the elderly as potential buyers). The paper deals with all the “silver economy” as a cross-sector campaign and research area for economics of ageing – a still fairly young discipline, both in science and in practical applications.

Prenatal exposure to adverse conditions is known to affect health throughout the life span. It has also been shown that health is unevenly distributed at advanced ages. This chapter investigates whether health inequalities at old age may be partially caused by prenatal circumstances. We use a sample of people aged 71–91 from eight European countries and assess how shocks in GDP that occurred while the respondents were still in utero affect four important dimensions of later-life health: cognition, depression, functional limitations, and grip strength. We find that early-life macro-economic circumstances do not affect health at advanced ages, nor do they affect inequalities in health. In additional analyses, we show that the least healthy people may not enter our sample as the probability of dying before reaching age 71 is high, and mortality rates among those who were prenatally exposed to adverse GDP shocks are higher. We conclude that selective mortality may mask effects of early-life circumstances on health and health inequality at old age.

Based on the data from “Thousand village surveys” project of Shanghai University of Finance and Economics, we employ the ordered logistic method to do the empirical analysis on consumption, life and satisfaction (subjective well-being) of Chinese rural elderly. First, the result shows that the consumption (exclude medical expenses) has positive effect on the satisfaction of Chinese rural elderly, while the rural elderly are not preferred to compare with others. Good participation in social life and medical care condition could enhance the satisfaction of rural elderly. Second, the authors divided the sample into two groups as high-consumption group and low-consumption group. The result shows that the low-consumption group more tend to rely on their family members than high-consumption group. The authors suggest that in order to improve the rural elderly life satisfaction, the government needs to improve medical care system.

Population ageing is a demographic transition and burdens every country’s health sector. A lack of social security combined with low government health-sector spending has made health-care utilisation difficult among elderly in many developing countries like India. This makes population ageing a global phenomenon for policymakers, researchers and stakeholders to discuss and debate in 21st century. The purpose of this paper is to examine the behavioural determinants of health-care utilisation among elderly population in Punjab.

This study examines health-care utilisation among the elderly population in Punjab. A structured questionnaire was used to collect the data in the state of Punjab, with a multi-stage stratified random sample of 385 respondents. Logit regression was used to analyse the association between several behavioural factors like age, gender, place of residence, source of livelihood, education and frequency of visits with health-care utilisation among elderly aged 60 and above.

This study revealed that gender, age, place of residence, source of livelihood, education and frequency of visits were significant determinants of health-care utilisation among elderly population.

This study directs the need to improve health-care utilisation in a country, reducing inequalities that exist among the elderly population with respect to socio-economic and demographic differences.

With the rising of “religious fever” in China rural area, the authors inquire the reason why it happened. First, the authors explore the group characteristics which could affect both happiness and the religion belief of Chinese rural elderly. The authors analyze the micro-data of “thousand village surveys” data of Shanghai University of Finance and Economics by using Order Logit and Propensity Score Matching (PSM) method. These results show that when the elderly people have the following features related to health such as: feeling psychological loneliness, not obtaining the good management of chronic disease in the village, and not being participated in new rural cooperative medical system are more likely to believe in religious in the rural areas. And the authors also find these Chinese rural elderlies who believe in religion are less happy than atheism elderly actually (by PSM). Believing in religion is not the solution and maybe the way these elderly resorts to when they encounter health problem.

Smart senior care industry in China currently faces a series of practical difficulties such as an imbalance in the demand and supply structure, service products unable to cater to the actual needs of the elderly and a low degree of marketization. This study therefore proposes using grey relational analysis and the Fuzzy-quality function development (QFD) quality improvement method to help solve these problems.

The proposed method converts the fuzzy requirements of the elderly into the technical characteristics of technologically augmented senior care service products. It then, uses the QFD relationship matrix, combined with grey relational analysis, to analyze the relationship between the needs of elderly and the converted technical characteristics, and subsequently identifies key technical characteristics.

Results show that an improvement in the smart senior care service platform according to the differences of the elderly's preferences can significantly improve users' satisfaction with the service in addition to enhancing market competitiveness of the technologically assisted senior care service products.

A novel method to improve the need of smart senior care is proposed by considering age difference. The proposed grey relational analysis and Fuzzy-QFD quality improvement method can help improve the service quality of the smart senior care service platform.

The purpose of this study is to review scholarly research on elderly consumers’ information processing and suggest implications for services marketing.

The review encompasses a five-decade period (1970–2018) of academic research and presents relevant literature in four main areas related to information processing: sensation, attention, interpretation and memory.

The study illustrates how each of the aforementioned phases of the information processing activity may affect how elderly individuals buy and consume products and services, emphasizing the need for a better comprehension of the elderly to develop effectual marketing strategies.

The study provides readers with detailed state-of-the-art knowledge about older consumers’ information processing, offering a comprehensive review of academic research that companies can use to improve the effectiveness of their marketing efforts that target the elderly market.

Elderly population We all have a vested interest in the care of our elderly, whose needs and expectations are as important as those of younger people.

The purpose of this paper is to contribute to the discussion of transferring modern technology from industries such as logistics to the life of elderly in a way that they can understand, accept and make use of it.

This is a conceptual discussion based on findings from a series of projects in healthcare, IT development and consultancy. The key methodologies considered include technology assessment, scenario development, listening to people with dementia and their caregivers and non-participant observation, as well as reviews of good practice, policy and literature.

The transfer considerations showed unreasonable price differences of similar hardware used for localization between the logistics and the elderly market. Bluetooth low energy (BLE) was identified as a promising localization technique. A gap in the marketing of technology for the elderly was identified, virtually fencing the elderly market.

A lack of transparency fosters market skimming, resulting in deadweight loss for society and technology being restrained from less-solvent consumers. Corrective actions like entrepreneurship facilitation and consumer education should be considered to overcome this market failure. To persevere in a consequently more competitive market, changes in marketing should be considered.

The work assesses the presence of the innovativeness–needs paradox of Everett Rogers in the field of innovation for the elderly on the basis of an example and identifies the resulting market failure. It suggests a market-entry mode and briefly lays out the marketing modes for market penetration.

With the great changes brought by information technology, there is also a challenge for the elderly's acceptance. This study aimed to determine the antecedents of elderly people's usage intention of financial artificial intelligent customer service (FAICS) and to examine the relationships between various factors and thus to help them better adapt to the digital age.

A mixed method, including the qualitative and quantitative study, was utilized to explore answers of the research questions. As the qualitative study, the authors used semi-structured interviews and data coding to uncover the influencing factors. As the quantitative study, the authors collected data through questionnaires and tested hypotheses using structural equation modeling.

The results of data analysis from interviews and questionnaires suggested that perceived anthropomorphism and virtual identity of elderly users have a positive impact on their perceived ease of use, and the perceived intelligence of elderly users positively influences their perceived ease of use, satisfaction and perceived usefulness. Additionally, the elderly's cognition age can moderate the effects of perceived usefulness and satisfaction on their usage intention of FAICS.

This study contributes to the literature by taking the elderly group as the research participants and combining those influencing factors with technology acceptance model and information systems success model. The findings provide a basis for accelerating the promotion of FAICS and help address the problem that the elderly have difficulty adapting to a new technology.