The Role of Digital Information Technology for Social Welfare Computing in the Context of the Internet of Things

Abstract

The paper measures the income distribution effects and welfare effects of VAT itself based on Chip2013 household income and expenditure microdata using the Gini coefficient, Suits index, and Theil index from the perspective of annual income and lifetime income, respectively, and the effective VAT rate. Taking provinces as the basic research unit, we use the first-right method, LISA time path, and Spatiotemporal leap to evaluate China’s well-being level from 2010 to 2020 and analyze its Spatiotemporal dynamic characteristics. At present, most countries adopt a tax rate model with 1∼3 bands. The current VAT rate structure is “13% + 9% + 6%,” which is in line with the international development trend. In the data preprocessing module, the HTTP(S) responses of non-IoT devices are first filtered out and then the text that may contain device information is extracted from the remaining HTTP(S) responses by integrating multidimensional features, and finally, the irrelevant strings in the text are filtered out. At the end of the paper, simulation experiments are designed to verify the function and performance of the identification information extraction system for this heritage connected device, and the results verify that the model identification method in this paper can achieve better identification results compared with existing methods. The results verify that the model recognition method in this paper can achieve better recognition results compared with existing methods.

Technology in Social Welfare: Analysis and Mapping of Scientific Literature

“…• Applications of Technology: Technology applications in social welfare have achieved several solutions, including: a) Streamlined service delivery: apps and online platforms simplify and facilitate the efficient provision of services to those in need (Chen et al, 2022); b) Resource allocation: technology aids in optimizing resource distribution and ensures that resources are allocated to where they are needed most to benefits vulnerable (Xiao et al, 2023); c) Enhanced communication: technology has improved communication between social welfare agencies, beneficiaries, and communities, leading to more effective support (Cuesta et al, 2019;Lu, 2022).…”

“…The scientific literature that discusses the research trends over the past two decades, evidenced that numerous technologies have significantly impacted social welfare service optimization. Notable examples of technology include mobile applications, communication technologies, virtual reality (VR), blockchain and artificial intelligence (AI) (de Andrade at al., 2022;Hsu et al, 2020;Lu, 2022;Oravec, 2019;Trahan et al, 2019). However, no scoping review was conducted on the technology development trends in the social welfare context.…”