46 research outputs found

    Investigating the Willingness to Pay for a Contributory National Health Insurance Scheme in Saudi Arabia:A Cross-sectional Stated Preference Approach

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    Background: The Saudi Healthcare System is universal, financed entirely from government revenue principally derived from oil, and is ‘free at the point of delivery’ (non-contributory). However, this system is unlikely to be sustainable in the medium to long term. This study investigates the feasibility and acceptability of healthcare financing reform by examining households’ willingness to pay (WTP) for a contributory national health insurance scheme. Methods: Using the contingent valuation method, a pre-tested interviewer-administered questionnaire was used to collect data from 1187 heads of household in Jeddah province over a 5-month period. Multi-stage sampling was employed to select the study sample. Using a double-bounded dichotomous choice with the follow-up elicitation method, respondents were asked to state their WTP for a hypothetical contributory national health insurance scheme. Tobit regression analysis was used to examine the factors associated with WTP and assess the construct validity of elicited WTP. Results: Over two-thirds (69.6%) indicated that they were willing to participate in and pay for a contributory national health insurance scheme. The mean WTP was 50 Saudi Riyal (US$13.33) per household member per month. Tobit regression analysis showed that household size, satisfaction with the quality of public healthcare services, perceptions about financing healthcare, education and income were the main determinants of WTP. Conclusions: This study demonstrates a theoretically valid WTP for a contributory national health insurance scheme by Saudi people. The research shows that willingness to participate in and pay for a contributory national health insurance scheme depends on participant characteristics. Identifying and understanding the main influencing factors associated with WTP are important to help facilitate establishing and implementing the national health insurance scheme. The results could assist policy-makers to develop and set insurance premiums, thus providing an additional source of healthcare financing

    Prediction Modeling of Surface Roughness Using Capacitive Sensing Technique in Machining Process

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    Integrating lean and agile practices for achieving global sustainability goals in Indian manufacturing industries

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    The rising global pressure from stakeholders regarding climate change and its implications for the various aspects of manufacturing have pressured industrial leaders to develop greater environmental responsibility. This has motivated companies and researchers to identify and incorporate various strategies for ecologically sustainable operations. Analyzing the relationship between 'lean' and 'agile' (leagile) practices appears to be a tangible way to become more sustainable, specifically in an emerging economy such as India. The literature has investigated lean and agile practices for enhancing sustainability, although most studies have not adequately framed their analyses of both aspects simultaneously. This limitation of previous studies is the motivation for the present work. The current study expands the scope of previous literature by identifying and prioritizing leagile practices through the lens of sustainability. This study uses a combination of fuzzy set theory and the best-worst method (BWM) for identifying and prioritizing the leagile practices that are effective for Indian industrial leaders. The study is validated for the Indian automotive sector so that industry leaders can implement the requirements of the 'Green India Movement', as recommended by governmental decrees

    Effect of pH on the Mycelial Growth of Aspergillus niger and Aspergillus flavus

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    Aspergillus fungus is well-known for causing a number of secondary plant and food rots that can result in the buildup of mycotoxins, despite their significant economic contribution to the fermentation industries. In the past, even the most fundamental influences on the development and inhibition of significant mycotoxigenic fungi were only partially understood. To overcome this issue, an investigation on the impact of pH on the mycelial development of Aspergillus species was conducted. A. niger and A. flavus were inoculated in PDA medium with a range of pH values from 4.0 to 9.0 under in vitro conditions and then cultured for 7 days at room temperature. Results revealed that, the mycelial growth of A. niger and A. flavus was increased with increase in pH level up to 6 and then became static up to pH level 9 and there was no mycelial growth in pH 4. Hence, it was concluded that the use of alkaline compounds as a way of preventing their proliferation and reproductive processes may be used to inhibit the development and spore production of A. niger and A. flavus, which can affect the crops
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