Contribution of Health to Economic Development: A Survey and Overview

Husain, Muhammad Jami

doi:10.2139/ssrn.1726742

Cited by 6 publications

(7 citation statements)

References 138 publications

(172 reference statements)

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“…Weakness in health and weakness in its promotional mechanisms have been associated with physical weakness, psychological problems hindering activity and production, poverty and ultimately reduced economic development [14]. On the other hand, it has been found that health and health care can lead to economic development and thus improve working conditions through higher productivity and more motivation of the workforce [5]. Can improving working conditions and ease of doing business also affect the health of communities?…”

Section: Discussionmentioning

confidence: 99%

“…Healthy people are encouraged to work less, have more life expectancy, have more fun, have less fatigue and have more motivation to do work, and as a result have more efficiency. People's health indirectly affects their easier learning, and this makes things happen faster and activities that lead to production and economic development accelerate [4,5]. On the other hand, the business situation in the communities can also be an explanatory factor for the health status of the communities.…”

Section: Introductionmentioning

confidence: 99%

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Health and Ease of Doing Business Indices in the Eastern Mediterranean Region Based on the Panel Data

Veisi

Karimi

2021

SRPH J. Appl. Manag. Agile Organ.

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This study aimed to investigate the relationship between ease of doing business and health indices in the Eastern Mediterranean Region. The present study is a panel data study which was done using data from 2007 to 2019. Pre-estimation and post-estimation tests were performed to estimate the model by data panel model. The tests included the unit root test, Fisher test and Hausman test, crosssectional dependence tests, co-integration test, test for heteroscedastic and autocorrelation test between disturbances. The data were entered into EVIEWS-7 and STATA-13 software and the final estimation of the model was done by Driscoll and Croy method. Levin-Lin-Chu (LLC) test, Im-Pesaran-Shin test and Shin tests showed that most of the variables were significant. The panel effects were confirmed based on the Limer test (F=99.155, P<0/001). Hausmann test rejected the random effects in the model and showed fixed effects (χ 2 =78.2968, P<0/001). The results of the parent test showed a cross-sectional dependence of the disturbances. The Cao co-integration test also confirmed the existence of coaccumulation (P<0.001, t=-4.38). The null hypothesis of this test based on variance homogeneity was rejected (P<0.001, χ2 =78.2968). The final estimation shows 68% the model determination coefficient based on the Driscoll and Croy test; This means that 68% of the variables dependent on the explanatory variables of this model are explained. The ease of doing business index has had a significant impact on determining health. Therefore, health managers and decision makers should pay attention to the ease of doing business index on the health of communities in determining their general health policies. On the other hand, they should improve the inter-section cooperation with the aim of improving the employment situation to achieve the general goal of health in the communities.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Health and Ease of Doing Business Indices in the Eastern Mediterranean Region Based on the Panel Data

Veisi

Karimi

2021

SRPH J. Appl. Manag. Agile Organ.

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“…Tingkat pendidikan, demografi, umur, dan pekerjaan. menganalisis bagaimana faktor-faktor tertentu terhadap pola konsumsi pelayanan kesehatan; tarif, subsidi, asuransi kesehatan, pendapatan, opportunity cost, dll (Husain, 2010).…”

Section: Konsep Permintaan Terhadap Pelayanan Kesehatanunclassified

Faktor-faktor Yang Mempengaruhi Permintaan Pelayanan Kesehatan Rumah Sakit Umum Daerah Depati Bahrin Kabupaten Bangka

Akbar¹,

Nanda²

2021

equity

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Kesehatan merupakan tolak ukur standar hidup seseorang, karena ketika seseorang dalamkondisi sehat, maka seseorang tersebut akan meningkatkan produktivitasnya yang pada akhirnya akanberpengaruh pada perekonomian, sebaliknya ketika seseorang dalam kondisi sakit maka akanmenurunkan tingkat produktivitasnya. Permintaan akan pelayanan kesehatan sebagai salah satu carauntuk menggapai status kesehatan yang lebih tinggi karena adanya keinginan dapat merasakan hidupsebaik mungkin dibanding jika mengalami gangguan kesehatan. Penggunaan metode regresi liniersebagai alat analisis didalam penelitian ini bertujuan untuk mengetahui apakah tedapat pengaruhpermintaan pelayanan kesehatan RSUD Depati Bahrin Sungailiat Kabupaten Bangka terhadappendapatan keluarga, harga kunjungan, pendidikan, biaya, dan jarak tenpuh. Hasil penelitianmenunjukkan faktor biaya kunjungan, pendidikan pasien dan jarak tempuh memiliki pengaruh terhadappermintaan pelayanan kesehatan di RSUD Depati Bahrin Kabupaten Bangka.

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“…The improvement of health services has a direct effect on the level of public health and an indirect effect on strengthening economic growth (Nishiura, 2004). Furthermore, public health levels can increase workforce productivity and per capita GDP (Akram, Padda & Khan, 2008), the quality of human capital and economic growth (Sharma, 2018 andMihalache, 2019), high productivity and income (Schultz, 2005;Weil, 2007;and Husain, 2010). Bloom, Canning & Sevilla (2001) stated that education, experience, and health are inputs of human capital.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Health on Per Capita GDP in Indonesia

Sari

Cahyadin²

2021

EDAJ

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The purpose of this study was to estimate the influence of health on per capita GDP in Indonesia in 1986-2018. Health was proxied by three variables including health expenditure, infant mortality rate and life expectancy. The variables expressed a significant indicator to assess health level in a country. Furthermore, the estimation was carried out in the short-run and long-run based on the ARDL-ECM model. The results showed that the feasible ARDL model was ARDL (2, 0, 0, 0). In long-run, per capita GDP was significantly influenced by health expenditure, infant mortality rate and life expectancy. This expressed significant implication of the health level for increasing the economic performance and welfare in Indonesia. Meanwhile, in short-run, it was only influenced by infant mortality rate and (ECT (-1)). Further, Cusum and CusumQ tests showed the empirical model was stable. The policy implication directs that the government can improve the quality of public health, increase health expenditure as a fiscal stimulus, and support increasing public income.

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Contribution of Health to Economic Development: A Survey and Overview

Cited by 6 publications

References 138 publications

Health and Ease of Doing Business Indices in the Eastern Mediterranean Region Based on the Panel Data

Health and Ease of Doing Business Indices in the Eastern Mediterranean Region Based on the Panel Data

Faktor-faktor Yang Mempengaruhi Permintaan Pelayanan Kesehatan Rumah Sakit Umum Daerah Depati Bahrin Kabupaten Bangka

The Impact of Health on Per Capita GDP in Indonesia

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