2020
DOI: 10.3390/ijerph17124470
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The Impact of Internet Usage and Knowledge-Intensive Activities on Households’ Healthcare Expenditures

Abstract: This paper examines the impact of the internet usage and knowledge intensive activities on households’ healthcare expenditures Similarly, the paper aims to recognize and understand, from a value-creation perspective, the correlation between: internet access of households (IA), individuals frequently using the internet (IU), individuals searching on internet for health-related information (HI), payments made by households for healthcare (PHH), expressed as euro per inhabitant and employment in knowledge-intensi… Show more

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Cited by 8 publications
(7 citation statements)
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“…Youngsters are nowadays more aware and concerned about public issues, including health. This is mainly due to the ability to absorb good information and knowledge, which depends more on education than age ( Stanovich and Cunningham, 1993 ; Edwards and Browne, 1995 ; Benvenuto et al., 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…Youngsters are nowadays more aware and concerned about public issues, including health. This is mainly due to the ability to absorb good information and knowledge, which depends more on education than age ( Stanovich and Cunningham, 1993 ; Edwards and Browne, 1995 ; Benvenuto et al., 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…In the past two decades, the internet has developed rapidly. This rapid expansion has increased people's access to health information, especially residents in rural and remote areas [8][9][10]. As of March 2020, China had 904 million internet users, and the internet penetration rate was 64.5% [11]; further, 33.2% of Chinese adults have sought health information from the internet [12].…”
Section: Introductionmentioning
confidence: 99%
“…Referring to the studies of Avram et al [37], Deng et al [38], Xu et al [9], Huang et al [39], Deng et al [15], Benvenuto et al [40], and Ma and Zhu [41], this study uses household head variables (e.g., age and education level), family variables (e.g., the total area of cultivated land, family education and family assets), land variables (e.g., land ownership and land quality), and region variables (e.g., population density, distance, and geographical location) as control variables. The details of the control variables are listed in Table 1.…”
Section: Control Variablesmentioning
confidence: 99%