Suchergebnisse

Risk information avoidance (RIA) has become an increasingly ubiquitous behavior for people to deal with massive volumes of information. Given its detrimental impact, abundant studies were conducted to explore its antecedents. Nevertheless, the results are scattered and, in some cases, inconsistent. We thereby conducted a meta-analysis to present a synthesis of the current findings by identifying the most relevant antecedents and moderators. Guided by the framework of Planned Risk Information Avoidance, we examined 11 antecedents along cognitive, emotional, and sociocultural dimensions. Based on 52 articles across various contexts, the results indicated that information overload ( r = .30), efficacy belief ( r = −.11), fatalism ( r = .18), information insufficiency ( r = −.09), anxiety ( r = .26), worry ( r = −.08) and information avoiding norms ( r = .50) were significant predictors of RIA. Furthermore, uncertainty avoidance and information type were identified as moderators.

With increasingly severe constraints on resources and the environment, it is the mainstream trend of economic development to reduce industrial pollution emissions and promote green industrial development. In this paper, a super-efficiency slacks-based measure (SBM) model is adopted to measure the industrial green development efficiency (IGDE) of 289 cities in China from 2008 to 2018. Moreover, we analyze their spatiotemporal differentiation pattern. On this basis, the multiscale geographical weighted regression (MGWR) model is used to analyze the scale differences and spatial differences of the driving factors. The results show that the IGDE is still at a low level in China. From 2008 to 2018, the overall polarization of IGDE was relatively serious. The number of high- and low-efficiency cities increased, while that of medium-efficiency cities greatly decreased. Secondly, the IGDE presented an obvious spatial positive correlation. MGWR regression results show that the technological innovation, government regulation, and consumption level belonged to the global scale, and there was almost no spatial heterogeneity. Other driving factors were urbanization, industrial structure, economic development, and population density according to their spatial scale. Lastly, the influence of economic development and technological innovation had a certain circular structure in space; the influence of population size mainly occurred in the cities of the southeast coast and northeast provinces; the influence of urbanization was more obvious in the most northern provinces of the Yangtze River, while that of industrial structure was mainly concentrated in the most southern cities of the Yangtze River Economic Belt (YREB). Spatially, the influence of consumption was manifested as a distribution trend of decreasing from north to south, and the government regulation was manifested as increasing from west to east and then to northeast.