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This chapter assesses the effects of two rural community residential advantages – economic growth and availability of health services – upon residents’ health and emotional well-being.

A de facto experimental design divided communities into four analytical types based on their economic growth and health services. Household survey data were gathered via a drop-off/pickup procedure and 400 randomly selected households were surveyed in each location. Physical health was measured with a subset of items from the Medical Outcomes Study’s 36-item short form. A 10-item emotional well-being index was used. Beyond sociodemographic items, questions concerned household assets, medical problems, social supports, and community ties. Nested regression analyses were used to assess the effects of residential advantage upon health, net of potentially confounding factors.

Contrary to expectations, both residential advantages were necessary for improved health. The most important negative net effect on health was aging. Beyond household assets and community economic expansion, miles commuted to work was the next most important factor enhancing physical health. In all types of communities, residents’ emotional well-being scores were independent of age, but positively related to household income and religious involvement.

Obviously the study is limited by geography and by the small number of communities in each residential type. While we could measure the effects of household members not being able to address all health needs, we could not assess the effects of such problems on anyone else in the households beyond the respondents. Our survey approach is also unable to address the effects of rural residents being unable to meet their health needs over time.

Ours is the first study that we know of applying a de facto natural experimental design to assess community residential effects. The interrelated effects of residential community resources for residents’ health suggests that more studies like this one should be done.

The purpose of this paper is to separate households into several types based on their features, and then to further investigate determinants of household fish consumption in China by figuring out consumption preference divergences between types of households under the effects of economic and socio-demographics factors.

This paper first applies Multiple Correspondence Analysis to separate the modalities of variables and households according to their features, with health knowledge and time constraint of a spouse highlighted. Then, the transcribed principal information of both variables and households has been added into Marshallian demand function with fish price, income, child effect, and health status for identification of factors on household fish demand. The robust fixed effect and robust random effect GLS regression has been conducted.

The paper provides empirical insights about what and how factors affect household fish consumption. It suggests that, for all households, pork is still a main substitution of fish, fish consumption regarding to each household should be constant, and fish consumption differs a lot between provinces. For households with higher dietary knowledge, the authors found that increase of income, the existence of adolescent would cause an increase in fish consumption, while illness of household member makes a decrease in fish consumption. For households with working women who have higher opportunity cost of time pursue much more convenience, then consume less fish at home than their counterparts.

The increasing variety in consumer’s dietary need makes the understanding of which becoming much more difficult than before. This paper uses three-wave panel data with households spread over nine provinces in China, but the results still has its limitation since china is the one with vast in territory and residents. In the future, the difference between urban and rural area in fish consumption need further research.

The paper reveals the common determinants of fish consumption in China, and makes a further clear answer by a further discussion on different household types. The results have rather high implications for making targeted policy or precisely forecasting a future fish demand in China, which will rather be helpful for fishery industry development in China.

This paper fulfills an identified need to study the divergence of determinants or the impact degree of different factors on fish consumption in China by household types. An increasing trend of food away from home has significant effect on how to count household size in food consumption studies, and the identification of persday in this study shows its advantages in dealing with this issue, which makes a contribution on resolve the overestimation of household size issue.

The proportion of traditional family households with two parents has been steadily declining, in large part due to an increase in the female‐headed single parent family – the largest growing family type. Reports on a study to test hypotheses that differences exist between female‐headed single parent families′ and two parent families′ food purchasing patterns. Examines the frequency of use of convenience foods and restaurants and restaurant spending levels, to determine if there are differences between the two family types. Reveals that similar purchasing patterns exist between the household structures and suggests potential marketing implications of this finding.

The purpose of this paper is to outline the study to determine whether the dual earner model better offsets the actual risk of unemployment compared to other household models.

The authors linked the partner effect (household type) with macroeconomic institutional settings, such as employment protection, the active labour market policy, economic growth rate and globalisation, to study how these micro- and macro-level factors influence the unemployment risk of individuals.

Using European Labour Force Survey (EU-LFS) microdata for Finland from 2005 to 2013 and a multilevel modelling technique, the authors found that the partner effect is an important regulator of unemployment risks, but the effect is modified by institutional factors. Dual earners and breadwinners experience a less significant effect from employment protection legislation regulation and other external factors on the increase or decrease in unemployment risk compared to singles. The authors also found that unemployed singles are more exposed and vulnerable to fluctuations caused by economic events.

In this way, this paper contributes to the sociological theory of labour markets and a better understanding of how different household types buffer and mediate the risks of unemployment. The authors used the EU-LFS and novel multilevel analysis statistical solutions to determine the impact of macro- and micro-level factors. The case of Finland may also be of broader interest to researchers and policy-makers because of the long and strong tradition of the dual earner employment pattern and strong macro-economic fluctuations.

The development of tourism around Wolong Nature Reserve changes the local communities' ways of life. This study discusses how ecotourism affects the households' use of their capitals, the livelihood strategies as well as illustrates the impact on the habitats in the reserve through Department for International Development’s (DFID) Sustainable Livelihood Framework (SLF) with data collected during fieldwork.

The study focuses on (1) Calculating Livelihood Capital Index. (2) The effects of livelihood capitals on livelihood strategy were calculated by multinomial logistic regression.

The study has yielded the following results: (1) In general, tourism promotes people's livelihood capitals. The growth in different types of households under tourism settings is ranked as full-time tourism operators > part-time tourism operators > traditional living households. (2) Tourism development mainly shifts livelihood strategies in two ways. Firstly, travel operating replaces some traditional practices that make livings; secondly, increased needs for potherbs and herbs from tourists let households enter into the hills to pick the plants more actively, which intensifies the destruction of giant panda's habitats. (3) Nine types of livelihood capitals indicators, namely farmland quality, distance between house and roads, number of laborers, average housing area, average income per person, whether family members being village cadres, and ever having received skills training shape livelihood strategies in different levels.

Three discussions are drawn from the study: (1) Enhancing the exploit for tourism resources to form a diversified competition. (2) Introducing herb growing to fulfill tourists' needs and improve people's livelihood in the meantime. (3) Optimizing the tourism surveillance and management system and improving the rules and regulations.