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Author

Dingde Xu

Other affiliations: Chinese Academy of Sciences
Bio: Dingde Xu is an academic researcher from Sichuan Agricultural University. The author has contributed to research in topics: China & Medicine. The author has an hindex of 22, co-authored 60 publications receiving 1217 citations. Previous affiliations of Dingde Xu include Chinese Academy of Sciences.
Topics: China, Medicine, Business, Livelihood, Risk perception

Papers published on a yearly basis

Papers
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Journal ArticleDOI
TL;DR: The understanding of the relationship between labor migration and rural households' farmland abandonment in China can be enhanced to provide reference for the rational allocation of labor resources and the formulation of the policies related to ensuring food security.

200 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explored the extent to which farmers in the Three Gorges Reservoir area remain highly dependent on agriculture despite rapid urbanization and industrialization, and provided a descriptive statistical analysis and ordinal logistic regression model that showed that close to 56% of households exhibit a low dependence on agriculture.
Abstract: This study explores the extent to which farmers in the Three Gorges Reservoir area remain highly dependent on agriculture despite rapid urbanization and industrialization. The study focuses on the factors that determine a household's choice of livelihood strategy, with a particular focus on the production of and dependence on agricultural products. Using a sustainable livelihoods approach and survey data from farmers in the Three Gorges Reservoir area in China, the study provides a descriptive statistical analysis and ordinal logistic regression model that shows that close to 56% of households exhibit a low dependence on agriculture. The following variables had a significant influence on livelihood strategy: the maximum years of education of any household member; the age of the household head; the number of laborers in a household; household location; and formal and informal social networks. Regardless of whether the household had children, house value and fixed assets had no significant influence on livelihood strategy. According to the analysis results, we put forward the suggestions that government departments increase investment in infrastructure and make loan policies more favorable for farmers so as to encourage rural able-person to use their social networks to actively establish businesses at migrant destinations.

108 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors investigated the relationship between risk perception and sense of place on disaster preparedness in farming households in landslide-prone areas of the Three Gorges Reservoir area in southwestern China.
Abstract: The effects of risk perception and sense of place on disaster preparedness have been widely reported. However, most studies have only demonstrated weak relationships and it is unknown whether these are applicable to China. This study investigated such relationships in hazard-threatened areas of the Three Gorges Reservoir area in southwestern China. Data were collected from 348 farming households in landslide-prone areas. Binary logistic and Tobit regression models were constructed to determine whether risk perception and sense of place influence landslide preparedness. The results show that: (1) Farming households’ awareness of the need to prepare for disasters was relatively low, and disaster preparedness behaviors were mainly based on self-learning. Among the 348 sampled households, 67% exhibited no disaster preparedness behavior, and only 2% adopted four of the five types of disaster preparedness behaviors. About a quarter of farming households consciously learned disaster-related knowledge. (2) Risk perception and sense of place had important influences on disaster preparedness. Respondents who received higher scores on the perception of the probability of a landslide, the threat of a landslide, and the place dependence variables were more likely to adopt a greater number of disaster preparedness behaviors. Respondents with higher scores on the perception of controllability in the case of a landslide were less likely to adopt a greater number of disaster preparedness behaviors. Additionally, individual and household socioeconomic characteristics—education, loss, distance from hazard site, information acquisition channel, and housing material—were all related to household disaster preparedness behavior. This study contributes to the current literature by improving the understanding of the relationships of risk perception and sense of place to disaster preparedness in farming households threatened by geological disasters in southwestern China.

100 citations

Journal ArticleDOI
Mengtian Cao1, Dingde Xu1, Fangting Xie1, Enlai Liu1, Shaoquan Liu1 
TL;DR: In this paper, the authors examined the Liangshan Yi Autonomous Prefecture with reference to the existing research framework and employed a complete two-layer linear model to identify critical factors that affect rural household poverty vulnerability levels.

98 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated rural household land arrangements under different household divisions of labor in Sichuan Province, a typical mountainous area of Western China, and found significant correlations between farming household structure and migration income, as well as land arrangement behaviors.

91 citations


Cited by
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01 Feb 2016

1,970 citations

01 Apr 1994
Abstract: THIS paper is concerned with those actions of business firms which have harmful effects on others. The standard example is that of a factory the smoke from which has harmful effects on those occupying neighbouring properties. The economic analysis of such a situation has usually proceeded in terms of a divergence between the private and social product of the far' ory, in which economists have largely followed the treatment of Pigou in The Economics of Welfare. The conclusions to which this kind of analyris seems to have led most economists is that it would be desirable to make the owner of the factory liable for the damage caused to those injured by the smoke, or alternatively, to place a tax on the factory owner varying with the amount of smoke produced and equivalent in money terms to the damage it would cause, or finally, to exclude the factory from residential districts (and presumably from other

1,070 citations

Journal ArticleDOI
TL;DR: Based on high resolution poverty data, the authors systematically examined the status quo and spatial distribution characteristics of poverty in rural China and its driving mechanism, and found that the distribution of the Chinese rural poor exhibits a distinct spatial agglomeration feature.

287 citations

01 May 2012
TL;DR: In this article, a comprehensive simulation study is conducted aimed at identifying the influence of different factors on the predictive validity of single versus multi-item measures, such as the average inter-item correlations in the predictor and criterion constructs, the number of items measuring these constructs, as well as the correlation patterns of multiple and single items between the predictor between the criterion constructs.
Abstract: textEstablishing predictive validity of measures is a major concern in marketing research. This paper investigates the conditions favoring the use of single items versus multi-item scales in terms of predictive validity. A series of complementary studies reveals that the predictive validity of single items varies considerably across different (concrete) constructs and stimuli objects. In an attempt to explain the observed instability, a comprehensive simulation study is conducted aimed at identifying the influence of different factors on the predictive validity of single versus multi-item measures. These include the average inter-item correlations in the predictor and criterion constructs, the number of items measuring these constructs, as well as the correlation patterns of multiple and single items between the predictor and criterion constructs. The simulation results show that, under most conditions typically encountered in practical applications, multi-item scales clearly outperform single items in terms of predictive validity. Only under very specific conditions do single items perform equally well as multi-item scales. Therefore, the use of single-item measures in empirical research should be approached with caution, and the use of such measures should be limited to special circumstances.

249 citations