The role of expected years of schooling among life expectancy determinants

Novak, Anica; Čepar, Žiga; Trunk, Aleš

doi:10.1504/ijil.2016.076673

Cited by 12 publications

(14 citation statements)

References 19 publications

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“…Hasil pengujian regresi ini sesuai dengan beberapa penelitian yang menyatakan bahwa angka harapan hidup berpengaruh secara negatif terhadap kemiskinan (Bintang and Woyanti, 2018;Efendi, Indartono and Sukidjo, 2019;Suryandri, 2018) dan pendidikan berpengaruh secara positif dengan kesehatan (Cohen, 2014;Novak, Anica;Cepar, Ziga & Trunk, 2014). Indikator kemiskinan ini sangat di pengaruhi oleh tingkat kesehatan dan status gizi yang menunjang angka harapan hidup (Tisniwati, 2012).…”

Section: Regresi Berganda (Multiple Regressions)unclassified

Pengaruh Kemiskinan Dan Pendidikan Terhadap Kesehatan Masyarakat

Azahari¹

2020

equity

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Pertumbuhan ekonomi dapat mengurangi tingkat kemiskinan pada suatu negara. Penelitian ini bertujuan untuk menganalisis pengaruh kemiskinan dan pendidikan terhadap kesehatan masyarakat. Analisis dalam penelitian ini menggunakan data sekunder yang bersumber pada BPS dengan jumlah data sebesar 63 sampel yang terdiri dari data kemiskinan, rata-rata lama sekolah dan kesehatan masyarakat tahun 2010-2018. Penelitian ini menggunakan analisis regresi berganda dengan angka harapan hidup sebagai variabel dependen dan rata-rata lama sekolah serta kemiskinan sebagai variabel independen.Hasil penelitian menunjukkan bahwa pendidikan berkorelasi positif dan berpengaruh dengan kesehatan masyarakat dan kemiskinan berkorelasi negative dan tidak berpengaruh terhadap kesehatan masyarakat.

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Section: Regresi Berganda (Multiple Regressions)unclassified

Pengaruh Kemiskinan Dan Pendidikan Terhadap Kesehatan Masyarakat

Azahari¹

2020

equity

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“…There were five studies (#3, 22, 34, 37, and 44) examining the relationships between population growth and LE. Novak et al 15 found that the urban population had a positive impact in LE according to 187 countries in the year 2010 (β = 0.070, P = .012) and 2005 (β = 0.061, P = .030). Ye et al 25 found that the ageing index showed a significant relation on LE in China ( r = 0.980, P < .05) and the United States ( r = 0.834, P < .05).…”

Section: Review Findingsmentioning

confidence: 99%

“…Clark and Peck 21 found that women's status of labor force ratio (β = 0.040, P < .05) expanded the gender gap in LE while women's status of parliament ratio (β = −0.020, P < .05) reduced the gender gap in LE. Novak et al 15 showed that gender inequality has a significant negative impact on LE in 2010 (β = −0.136, P = . 16 showed that there was a significant positive effect of GDP toward LE (β = 0.039, P = .042) and (β = 0.0739, P < .001).…”

Section: Socioeconomic Status (Sesmentioning

confidence: 99%

“…Ketenci and Murthy 4 reported that education had a positive effect on LE (β = 0.039, P = .042), as well as in one secondary school (β = 0.57). 14 Novak et al 15 reported that expected years of schooling had a positive impact on LE in 2005 (β = 0.599, P = 0.029) and 2010 (β = 1.087, P < .001). Wigley and Akkoyunlu-Wigley 16 reported that the year of average schooling has a positive eﬀect on LE (β = 0.0553, P < .001).…”

Section: Review Findingsmentioning

confidence: 99%

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A Systematic Review of Sociodemographic, Macroeconomic, and Health Resources Factors on Life Expectancy

Wirayuda

Chan

2021

Asia Pac J Public Health

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Objective This review was aimed at systematically synthesizing and appraising the existing literature of sociodemographic, macroeconomic, and health resources factors on life expectancy. Methods A systematic literature search of English databases, that is, PubMed/MEDLINE were scrutinized for exploring sociodemographic, macroeconomic, and health resources factors on life expectancy. The literature search was conducted in January 2020, covering a total of 46 articles from 2004 to 2019 met the review criteria, which were fully discussed subsequently. Findings Among sociodemographic factors, infant mortality rate, literacy rate, education level, socioeconomic status, population growth, and gender inequality have a significant impact on life expectancy. Gross domestic product, Gini, income level, unemployment rate, and inflation rate are the main macroeconomic factors that significantly correlated with life expectancy. Among various health care resources, health care facilities, the number of the health care profession, public health expenditure, death rates, smoking rate, pollution, and vaccinations had a significant correlation with life expectancy. Conclusions The systematic review showed general conformity of different studies, with a significant association between life expectancy and factors comprising several sociodemographic, macroeconomic, and various health care variables. This review found that only one study examined factors affecting life expectancy in Arabic countries. More studies on this region to fill this research gap were highly recommended.

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“…Although relevant and popular, research report a dearth of well-structured entrepreneurship programs and challenges for educators to design appropriate education strategies in order to develop quality entrepreneurship courses (Matlay, 2006;Novak et al, 2016;Law et Breznik, 2017). On a semi-systematic literature review, Mwasalwiba (2010) iden-tified two main groups in which most authors categorize teaching methods: "traditional methods" (or lecture-based passive methods), and "innovative methods" (also known as active methods).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Reshaping engineering learning to promote innovative entrepreneurial behavior

Caten

Silva

Aguiar

et al. 2019

BJO&PM

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Goal: To foster innovative and creative thinking in the curricula of Engineering schools, as well as other technology-based courses, contributing to the innovation ecosystems' growth and sustainability. Design/Methodology/Approach: The research was structured as an exploratory research and was conducted by means of a focus group comprised of representatives from Porto Alegre (RS) working directly with higher education and/or playing key roles within the city's innovation ecosystem. The group's discussion was analyzed along with current literature on the topic. Results: The paper provides insightful perceptions of the obstacles faced by faculty members when attempting to develop innovative methodologies within classes so that potential partnerships are fostered by agents of the innovation ecosystem in order to better prepare professionals that will later be inserted in this new innovative scenario. Limitations of the investigation:The present study is structured as an exploratory research based on a focus group discussion and analysis. Thus, as any qualitative approach, it might lack generalizability, once its purpose is to investigate a specific phenomenon and promote further investigation on the issue. However, all discussion from the focus group was analyzed and supported by extant literature on the topic, in order to mitigate such limitation and strengthen the research relevance. Practical implications: The analysis and discussion obtained from both the focus group and literature are imperative on the need of critical changes on universities' organizational culture to support entrepreneurial activities, as well as fostering partnerships with key agents within innovation ecosystems to better prepare professionals to the new market setting. Originality/value: Although some studies investigate the relationship involving universities and Science and Technology Parks, few studies explore how engineering schools' curricula can benefit from such alliances. Additionally, the present study lists a few hurdles faced by professors during the development of active-based practices, as well as alternative possibilities to overcome resistance in traditional courses.

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The role of expected years of schooling among life expectancy determinants

Cited by 12 publications

References 19 publications

Pengaruh Kemiskinan Dan Pendidikan Terhadap Kesehatan Masyarakat

Pengaruh Kemiskinan Dan Pendidikan Terhadap Kesehatan Masyarakat

A Systematic Review of Sociodemographic, Macroeconomic, and Health Resources Factors on Life Expectancy

Reshaping engineering learning to promote innovative entrepreneurial behavior

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