645 research outputs found

    Essays on food consumption, income inequality, and health-related issues in China

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    This cumulative dissertation presents five contributions that attempt to shed light on the issues regarding food consumption, income inequality and health in China. Empirical results in chapter 2 indicate that there exist substantial differences in food consumption across various income classes, meanwhile, the projected food consumption under different income distribution patterns shows that changes in income distribution have significant influences on food consumption. Chapter 3 reveals that there exists significant income inequality to the disadvantage of ethnic minorities for the full, female, and urban samples, and depending on the instrument also for the rural sample. Nevertheless, our results for these samples show specific returns to education for ethnic minorities, which implies that a portion of the income gap can be overcome with additional education. In chapter 4, employing a structural equation model for alcohol and cigarettes consumption, the empirical results indicate that alcohol and cigarettes are complementary goods for men in China; when the demand for alcohol (cigarettes) increases, the demand for cigarettes (alcohol) will also increase, ceteris paribus. In chapter 5, accounting for the endogeneity of education in unhealthy consumption equations, we find that education exerts a negative impact on unhealthy consumption like smoking and binge drinking, and an additional year of education can counteract intergenerational persistence of smoking and binge drinking from the father, but that it has no significant impact on intergenerational persistence from the mother. The results in chapter 6 suggest that body weight and the probability of overweight initiation increase with income but at a decreasing rate; while the probability of overweight cessation decreases with income but at an increasing rate. Our findings conclude that in contrast to developed countries, low-income individuals are less likely to be overweight in a transition country like China

    Scarce Water Resources and Cereal Import Dependency: The Role of Integrated Water Resources Management

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    This study globally analyzes the nonlinear relationship between cereal import dependency and total renewable water resources per capita by testing for potential thresholds in water resources. Data are from the Food and Agriculture Organization (FAO), and consider the years of 2002, 2007, and 2012. The results show evident ceiling eļ¬€ects with a threshold of 1588 m 3 /(capita/year) in the multiple predictor model. Above this value, the total renewable water resources per capita no longer have a considerable eļ¬€ect on cereal import dependency. Importantly, we found that if integrated water resource management improves, cereal import dependency will increase for countries with total renewable water resources per capita between 1588 m 3 /(capita/year) and 5000 m 3 /(capita/year), but not for countries below or equal to the threshold of 1588 m 3 /(capita/year). Water-scarce countries above the threshold use cereal imports as a coping strategy to save limited national water resources. This strategy might be suggested to extremely water-scarce countries below the threshold to increase their water use eļ¬ƒciency. Global solidarity of grain exporters with water-scarce countries is required to guarantee their food security, while water-scarce countries need to overcome their skepticism of foreign dominance through food imports

    Higher minimum wage, better labour market returns for rural migrants? Evidence from China

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    Using data from the 2013 China Household Income Project (CHIP), this study investigates the effects of minimum wages on labour market returns for rural migrants in China and sheds light on the potential underlying mechanisms of these effects. An instrumental variable estimation is used to address the endogeneity problem of minimum wages on labour market returns. Our empirical findings indicate that minimum wages have positive effects on migrantsā€™ wages. Specifically, we observe higher effects for women and migrants who have higher education levels. Regarding the possible mechanisms through which minimum wages influence migrantsā€™ labour market returns, we find that minimum wages tend to increase rural migrantsā€™ working time but have no significant effects on allowances related to work. We could not obtain conclusive results for social insurance due to its potential endogeneity

    Nutrition Transition with Accelerating Urbanization? Empirical Evidence from Rural China

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    Although rapid urbanization is often considered as one of the most important drivers for changing dietary patterns, little attention has been paid to rural areas despite the profound transformation they have undergone. Using longitudinal data from the China Health and Nutrition Survey (CHNS) for the period from 2004 to 2011, this study seeks to better understand the relationship between the urbanization of rural areas and dietary transition, with the focus on nutrition intake and dietary quality. Our results suggest that with increasing urbanization, rural residents tend to have on average lower calorie intakes but higher dietary quality. Specifically, increasing urbanization consistently reduces carbohydrate consumption and reduces fat consumption after a turning point; protein consumption first decreases and then increases after the turning point with increasing urbanization. Urbanization shows a significant and positive effect on the Healthy Eating Index (HEI). In addition to sociodemographic changes, we find that changing consumer preferences and knowledge serve as important determinants in explaining the dietary transition in rural China from 2004 to 2011. In our study, urbanization appears to positively affect rural residents' healthy food preferences and dietary knowledge. This study is a first attempt for better understanding the nutrition transition resulting from accelerating urbanization in rural China; several limitations and areas for future research have been highlighted

    Does a higher minimum wage accelerate labour division in agricultural production? Evidence from the main riceplanting area in China

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    Agricultural production outsourcing, a new means of agricultural production, can optimise the allocation of resources, reduce agricultural production costs, and improve agricultural productivity. However, farmersā€™ outsourcing behaviours are strongly interfered with by many factors such as economics, technology and institutions. Using a farmer-level data set from 2014 to 2018 in China, we examine the effects of the minimum wage increase on rice farmersā€™ production outsourcing behaviours. Our study relies on a Logit regression framework and uses the control function (C.F.) approach to address potential endogeneity concerns. Results show that the minimum wage increase significantly reduces the probability of farmers conducting production outsourcing. We also examine the heterogeneous effects of the minimum wage increase, and find that compared with other outsourcing services, the adverse effects on harvesting outsourcing are the strongest; the negative effects on production outsourcing are stronger for rice farmers with higher education. Our results provide new insights into understanding how labour regulation affects labour division in agricultural production

    Assessing the determinants of teachersā€™ job happiness in the private universities

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    Teachersā€™ job happiness in private universities is an important element for the healthy and orderly development of universities and an inevitable requirement for the construction of university faculty, and it has become a hot topic of research in the field of private higher education at present. However, there is still a lack of empirical studies on the factors influencing job happiness in private universities. This study constructs a theoretical model between professional identity, job competence, professional motivation, professional prospects, perceived fairness, job achievements and job happiness, and explores the specific drivers of teachersā€™ job happiness in private universities based on empirical research. The results of the data analysis showed that professional identity, job competence, professional prospects, perceived fairness, job achievements, and professional motivation all had significant effects on teachersā€™ job happiness, and the effects were decreasing. This study examined the effects of job happiness in practice in private universities, which helped private universities to enhance teachersā€™ professional identity, strengthen organizational support for teacher development, promote teachersā€™ teaching ability, improve job competence, and build a developmental teacher evaluation mechanism

    Socio-demographic association of multiple modifiable lifestyle risk factors and their clustering in a representative urban population of adults: a cross-sectional study in Hangzhou, China

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    <p>Abstract</p> <p>Background</p> <p>To plan long-term prevention strategies and develop tailored intervention activities, it is important to understand the socio-demographic characteristics of the subpopulations at high risk of developing chronic diseases. This study aimed to examine the socio-demographic characteristics associated with multiple lifestyle risk factors and their clustering.</p> <p>Methods</p> <p>We conducted a simple random sampling survey to assess lifestyle risk factors in three districts of Hangzhou, China between 2008 and 2009. A two-step cluster analysis was used to identify different health-related lifestyle clusters based on tobacco use, physical activity, fruit and vegetable consumption, and out-of-home eating. Multinomial logistic regression was used to model the association between socio-demographic factors and lifestyle clusters.</p> <p>Results</p> <p>A total of 2016 eligible people (977 men and 1039 women, ages 18-64 years) completed the survey. Three distinct clusters were identified from the cluster analysis: an unhealthy (UH) group (25.7%), moderately healthy (MH) group (31.1%), and healthy (H) group (43.1%). UH group was characterised by a high prevalence of current daily smoking, a moderate or low level of PA, low FV consumption with regard to the frequency or servings, and more occurrences of eating out. H group was characterised by no current daily smoking, a moderate level of PA, high FV consumption, and the fewest times of eating out. MH group was characterised by no current daily smoking, a low or high level of PA, and an intermediate level of FV consumption and frequency of eating out. Men were more likely than women to have unhealthy lifestyles. Adults aged 50-64 years were more likely to live healthy lifestyles. Adults aged 40-49 years were more likely to be in the UH group. Adults whose highest level of education was junior high school or below were more likely to be in the UH group. Adults with a high asset index were more likely to be in the MH group.</p> <p>Conclusions</p> <p>This study suggests that Chinese urban people who are middle-aged, men, and less educated are most likely to be part of the cluster with a high-risk profile. Those groups will contribute the most to the future burden of major chronic disease and should be targeted for early prevention programs.</p

    Multipath estimation based on modified Īµ-constrained rank-based differential evolution with minimum error entropy

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    Multipath is one of the dominant error sources for high-precision positioning systems, such as global navigation satellite systems (GNSS). The minimum mean square error (MSE) criterion is usually employed for multipath estimation under the assumption of Gaussian noise. For non-Gaussian noise as appeared in most practical applications, alternative solutions are required for multipath estimation. In this work, a multipath estimation algorithm is proposed based on the minimum error entropy (MEE) criterion under Gaussian or non-Gaussian noises. A key advantage of using MEE is that it can minimize the randomness of error signals, however, the shift-invariance characteristics in MEE may lead to a bias of the estimation result. To mitigate such a bias, an improved estimation strategy is proposed by integrating the second-order central moment of the estimation error together with the prior information of multipath parameters as a constraint. The multipath estimation problem is thus formulated as a constrained optimization problem. A modified Īµ-constrained rank-based differential evolution (ĪµRDE) algorithm is developed to find the optimal solution. The effectiveness of the proposed algorithm, in terms of reducing the multipath estimation error and minimizing the randomness in the error signal, has been examined through case studies with Gaussian and non-Gaussian noises
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