As China's population ages, the safety of older adults living alone is a matter of social security and stability. Information technology-based remote monitoring technology for smart elderly care is of great concern to society. The article presents hypotheses based on a technology acceptance model and analyzes and tests the questionnaire data using SPSS19.0 and AMOS24.0 software. It was found that the perceived ease of use of remote monitoring technology had a significant positive effect on perceived usefulness; the perceived usefulness and perceived ease of use of remote monitoring technology had a significant positive impact on attitude; the perceived usefulness and attitude of remote monitoring technology had a significant positive effect on the intention of use; gender, age, education, and health status had a different impact on perceived usefulness, perceived ease of use The perceived ease of use is the most critical factor affecting the attitude of older adults toward remote monitoring technology. To facilitate companies to develop more applicable and straightforward remote monitoring technologies for the elderly, the article proposes corresponding suggestions from the perspective of product development direction and technology innovation strategy.
A crucial part of China’s overall carbon emission reduction plan is the reduction of agricultural carbon emissions. Thus, it is important to identify the factors influencing agricultural carbon emissions in each province and explore the key to effectively reducing these emissions. Based on data from 31 provinces in China from 2007 to 2020, we analyzed the spatial and temporal trends in the evolution of agricultural carbon emissions in each province and determined the spatial autocorrelation of provincial carbon emissions. We further used the geographically and temporally weighted regression model to analyze the spatiotemporal evolution of the driving factors of provincial agricultural carbon emissions. The results showed that agricultural carbon emissions were spatially autocorrelated among provinces. The final results indicated that different provinces could achieve agricultural carbon emission reduction by adopting different strategies most suitable to their situations, such as by using green fertilizers, and adopting sustainability-oriented agricultural technology.
With the rapid development of "aging" and "informatization," many problems have arisen in using smart home-based elderly care technologies for the elderly. The attitude and the intention of use of the elderly to different technologies are different. This paper divides the smart home-based elderly care technologies into four categories: medical health technology, monitoring alarm technology, social communication technology, and entertainment learning technology. This paper explores the differences in the elderly's intention to use different technologies and the influencing factors based on the TAM model. The results show that for medical health technology, social communication technology, and entertainment learning technology, perceived usefulness is the most critical factor to affect the attitude and the intention of use. For the monitoring alarm technology, perceived ease of use is the most crucial factor affecting the attitude. Attitude is the most critical factor to affect the intention of use. Based on the above research conclusions, this paper puts forward some suggestions of orienting by the needs of the elderly, supported by aging-friendly renovation and developing research and development strategies by category.
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