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Bilgi-İletişim Teknolojileri (BİT) ve Hava Kirliliğinin Sağlık Harcamalarına Etkisi

Year 2022, Volume: 30 Issue: 51, 199 - 214, 31.01.2022
https://doi.org/10.17233/sosyoekonomi.2022.01.10

Abstract

Bu çalışma Türkiye’de 2011-2018 yıllarına ait BİT ve hava kirliliğinin 81 ilin sağlık harcaması üzerine etkisini analiz etmeyi amaçlamıştır. Bu doğrultuda 4 model kurulmuş ve bu modeller panel veri yöntemiyle analiz edilmiştir. Elde edilen bulgular doğrultusunda hava kirliliği ve cep telefonu abone sayısının sağlık harcaması üzerine etkisi bulunmazken, internet abone sayısı ve endeks değişkenlerinin (yazarların kendi hesaplaması) sağlık harcaması üzerine etkisi negatiftir. Çalışma, Türkiye’de hava kirliliği ve BİT’lerin sağlık harcaması üzerine etkisini inceleyen ilk çalışmalardan olması açısından özgün bir değere sahip olmakta ve literatüre katkı sağlamaktadır.

References

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  • Apergis, N. et al. (2020), “Health Care Expenditure and Environmental Pollution: A Cross-Country Comparison across Different Income Groups”, Environmental Science and Pollution Research, (27), 8142-8156.
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  • Blaya, B.J.A. et al. (2010), “E-Health Technologies Show Promise in Developing Countries”, Health Affairs, 29(2), 244-251.
  • Blázquez-Fernández, C. et al. (2019), “On the Nexus of Air Pollution and Health Expenditures: New Empirical Evidence”, Gaceta Sanitaria, 33(4), 389-394.
  • Bloom D.E. et al. (2015), “Macroeconomic Implications of Population Ageing and Selected Policy Responses”, The Lancet, 385(9968), 649-657.
  • Boachie M.K. & K. Ramu (2016), “Effect of Public Health Expenditure on Health Status in Ghana”, International Journal of Health, 4(1), 6-11.
  • Broom, A. (2005), “Virtually Healthy: The Impact of Internet Use on Disease Experience and The Doctor-Patient Relationship”, Qual. Health Res., 15(3), 325-345.
  • Brunekreef, B. & S.T. Holgate (2002), “Air Pollution and Health”, The Lancet, 360, 1233-1242.
  • Buteau, S. et al. (2018), “A Population-Based Birth Cohort Study of The Association Between Childhood-Onset Asthma and Exposure to Industrial Air Pollutant Emissions”, Environ. Int., 121(1), 23-30.
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  • Hansen P. & A. King (1996), “The Determinants of Health Care Expenditure: A Cointegration Approach”, Journal of Health Economics, 15(1), 127-137.
  • Herwartz, H. & B. Theilen (2003), “The Determinants of Health Care Expenditure: Testing Pooling Restrictions in Small Samples”, Health Economics, 12(2), 113-124.
  • Hitiris, T. & J. Posnett (1992), The Determinants and Effects of Health Expenditure in Developed Countries, Journal of Health Economics, 11(2), 173-181.
  • Hoechle, D. (2007), “Robust Standard Errors for Panel Regressions with Cross-Sectional Dependence”, Stata Journal, 7(3), 281-312.
  • İnal, Ö. & S.S. Arslan (2021), “Investigating the Effect of Smartphone Addiction on Musculoskeletal System Problems and Cognitive Flexibility in University Students”, Work, 68(1), 107-113.
  • Iverson, S.A. et al. (2008), “Impact of Internet Use on Health-Related Behaviors and the Patient-Physician Relationship: A Survey-Based Study and Review”, J Am Osteopath Assoc., 108(1), 699-711.
  • Janke, K. et al. (2009), “Do Current Levels of Air Pollution Kill? The Impact of Air Pollution on Population Mortality in England”, Health Economics, 18, 1031-1055.
  • Jerrett, M. et al. (2003), “Environmental Influences on Health Care Expenditures: An Exploratory Analysis from Ontario, Canada”, J Epidemiol Commun Health, 57, 334-338.
  • Karasoy, A. & G. Demirtaş (2018), “Sağlık Harcamalarının Belirleyicileri Üzerine Bir Uygulama: Çevre Kirliliği ve Yönetişimin Etkilerinin İncelenmesi”, İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 7(3), 1917-1939.
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  • Liu, T.C. et al. (2011), “Problematic Internet Use and Health in Adolescents: Data from a High School Survey in Connecticut”, The Journal of Clinical Psychiatry, 72(6), 836-845.
  • Murthy, N.R. & V. Ukpolo (1995), “Aggregate Health Care Expenditure in the United States: New Results”, Applied Economics Letters, 2(11), 419-421.
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The Effect of Information-Communication Technologies (ICT) and Air Pollution on Health Expenditures

Year 2022, Volume: 30 Issue: 51, 199 - 214, 31.01.2022
https://doi.org/10.17233/sosyoekonomi.2022.01.10

Abstract

This study analyses the effects of ICT and air pollution on health expenditures of 81 Turkish provinces during 2011-2018. Models were analysed through a panel data method. The results indicated that air pollution and mobile phone subscribers do not affect health expenditure. In contrast, the number of internet subscribers and index variable (devised by the authors) have a negative effect on health expenditure. This study has a unique value and contributes to the literature. It is one of the first studies scrutinizing the impact of air pollution and ICT on health expenditures in Turkey.

References

  • Alsalameh, A.M. et al. (2019), “Evaluating the Relationship Between Smartphone Addiction/Overuse and Musculoskeletal Pain Among Medical Students at Qassim University”, J Family Med Prim Care, 8(9), 2953-2959.
  • Apergis, N. et al. (2018), “US State-Level Carbon Dioxide Emissions: Does It Affect Health Care Expenditure?”, Renewable and Sustainable Energy Reviews, 91, 521-530.
  • Apergis, N. et al. (2020), “Health Care Expenditure and Environmental Pollution: A Cross-Country Comparison across Different Income Groups”, Environmental Science and Pollution Research, (27), 8142-8156.
  • Baabdullah, A. et al. (2020), “The Association Between Smartphone Addiction and Thumb/Wrist Pain: A Cross-Sectional Study”, Medicine (Baltimore), 99(10), 1-5.
  • Benvenuto, M. et al. (2019), “The Impact of Internet Usage on Healthcare Expenditures and Sustainability”, 5th International Scientific Conference ERAZ - Knowledge Based Sustainable Development, 95-107.
  • Bessière, K. et al. (2010), “Effects of Internet Use on Health and Depression: A Longitudinal Study”, J Med Internet Res, 12(1), e6.
  • Blaya, B.J.A. et al. (2010), “E-Health Technologies Show Promise in Developing Countries”, Health Affairs, 29(2), 244-251.
  • Blázquez-Fernández, C. et al. (2019), “On the Nexus of Air Pollution and Health Expenditures: New Empirical Evidence”, Gaceta Sanitaria, 33(4), 389-394.
  • Bloom D.E. et al. (2015), “Macroeconomic Implications of Population Ageing and Selected Policy Responses”, The Lancet, 385(9968), 649-657.
  • Boachie M.K. & K. Ramu (2016), “Effect of Public Health Expenditure on Health Status in Ghana”, International Journal of Health, 4(1), 6-11.
  • Broom, A. (2005), “Virtually Healthy: The Impact of Internet Use on Disease Experience and The Doctor-Patient Relationship”, Qual. Health Res., 15(3), 325-345.
  • Brunekreef, B. & S.T. Holgate (2002), “Air Pollution and Health”, The Lancet, 360, 1233-1242.
  • Buteau, S. et al. (2018), “A Population-Based Birth Cohort Study of The Association Between Childhood-Onset Asthma and Exposure to Industrial Air Pollutant Emissions”, Environ. Int., 121(1), 23-30.
  • Chaabouni, S. & C. Abednnadher (2014), “The Determinants of Health Expenditures in Tunisia: An ARDL Bounds Testing Approach”, International Journal of Information Systems in the Service Sector (IJISSS), 6(4), 60-72.
  • Cole-Lewis, H. & T. Kershaw (2010), “Text Messaging as A Tool for Behavior Change in Disease Prevention and Management”, Epidemiol Rev., (32), 56-69.
  • Correia, A.W. et al. (2013), “Effect of Air Pollution Control on Life Expectancy in The United States: An Analysis of 545 U.S. Counties for The Period From 2000 to 2007”, Epidemiology, 24(1), 23-31.
  • Déglise, C. et al. (2012), “Short Message Service (SMS) Applications for Disease Prevention in Developing Countries”, Journal of Medical Internet Research, 14(1), e3.
  • Deng, Q. et al. (2017), “Association Between Prenatal Exposure to Industrial Air Pollution and Onset of Early Childhood Ear Infection in China”, Atmos. Environ., 157, 18-26.
  • Di Matteo, L. & R. Di Matteo (1998), “Evidence on the Determinants of Canadian Provincial Government Health Expenditures: 1965-1991”, Journal of Health Economics, 17(2), 211-228.
  • Driscoll, J. & A.C. Kraay (1998), “Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data”, The Review of Economics and Statistics, 80(4), 549-560.
  • Ergün, S. & M. Polat (2018), “Türkiye’de Bölgeler Düzeyinde Sağlık Harcamalarını Etkileyen Unsurların Panel Veri Analizi İle Belirlenmesi”, Business & Management Studies: An International Journal, 6(4), 1296-1306.
  • Ferguson, T. (2000), “Online Patient-Helpers and Physicians Working Together: A New Partnership for High Quality Health Care”, BMJ, 321(7269), 1129.
  • Fernandez-Navarro, P. et al. (2017), “Industrial Pollution and Cancer in Spain: An Important Public Health Issue”, Environ. Res., 159, 555-563.
  • Fotourehchi, Z. (2016), “Health Effects of Air Pollution: An Empirical Analysis for Developing Countries”, Atmos. Pollut. Res., 7(1), 201-206.
  • Gbesemete K.P. & U.G. Gerdtham (1992), “Determinants of Health Care Expenditure in Africa: A Cross-Sectional Study”, World Development, 20(2), 303-308.
  • Gerber, B.S. & A.R. Eiser (2001), “The Patient-Physician Relationship in The Internet Age: Future Prospects and The Research Agenda”, J. Med. Internet Res., 3(2), e15.
  • Gerdtham, U.G. & M. Lothgren (2000), On Stationarity and Cointegration of International Health Expenditures and GDP, J Health Econ., 19, 461-475.
  • Gerdtham, U.G. et al. (1992), “An Econometric Analysis of Health Care Expenditure: A Crosssection Study of The OECD Countries”, J Health Econ, 11, 63-84.
  • Gong, X. et al. (2018), “Associations Between Maternal Residential Proximity to Air Emissions from Industrial Facilities and Low Birth Weight in Texas, USA”, Environ. Int, 120, 181-198.
  • Gujarati, D.N. (1999), Temel Ekonometri, (Çev. Ü. Şenesen), İstanbul: Literatür Yayınları.
  • Günal, A. & S. Pekçetin (2019), “Üniversite Öğrencilerinde Akıllı Telefon Bağımlılığı İle Servikal Bölge ve Üst Ekstremite Ağrısı Arasındaki İlişki”, Sürekli Tıp Eğitimi Dergisi, 28(2), 114-119.
  • Hair, J. et al. (1998), Multivariate Data Analysis, New Jersey: Prentice-Hall.
  • Hanphitakphong, P. et al. (2021), “Smartphone Addiction and Its Association with Upper Body Musculoskeletal Symptoms Among University Students Classified by Age and Gender”, J Phys Ther Sci., 33(5), 394-400.
  • Hansen P. & A. King (1996), “The Determinants of Health Care Expenditure: A Cointegration Approach”, Journal of Health Economics, 15(1), 127-137.
  • Herwartz, H. & B. Theilen (2003), “The Determinants of Health Care Expenditure: Testing Pooling Restrictions in Small Samples”, Health Economics, 12(2), 113-124.
  • Hitiris, T. & J. Posnett (1992), The Determinants and Effects of Health Expenditure in Developed Countries, Journal of Health Economics, 11(2), 173-181.
  • Hoechle, D. (2007), “Robust Standard Errors for Panel Regressions with Cross-Sectional Dependence”, Stata Journal, 7(3), 281-312.
  • İnal, Ö. & S.S. Arslan (2021), “Investigating the Effect of Smartphone Addiction on Musculoskeletal System Problems and Cognitive Flexibility in University Students”, Work, 68(1), 107-113.
  • Iverson, S.A. et al. (2008), “Impact of Internet Use on Health-Related Behaviors and the Patient-Physician Relationship: A Survey-Based Study and Review”, J Am Osteopath Assoc., 108(1), 699-711.
  • Janke, K. et al. (2009), “Do Current Levels of Air Pollution Kill? The Impact of Air Pollution on Population Mortality in England”, Health Economics, 18, 1031-1055.
  • Jerrett, M. et al. (2003), “Environmental Influences on Health Care Expenditures: An Exploratory Analysis from Ontario, Canada”, J Epidemiol Commun Health, 57, 334-338.
  • Karasoy, A. & G. Demirtaş (2018), “Sağlık Harcamalarının Belirleyicileri Üzerine Bir Uygulama: Çevre Kirliliği ve Yönetişimin Etkilerinin İncelenmesi”, İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 7(3), 1917-1939.
  • Kea, X. et al. (2011), “The Determinants of Health Expenditure: A Country-Level Panel Data Analysis”, World Health Organization, Working Paper, 1-26.
  • Khoshnevis Yazdi, S. et al. (2014), “Public Healthcare Expenditure and Environmental Quality in Iran”, Recent Adv Appl Econ., 233, 126-34.
  • Khoshnevis Yazdi, S.K. & B. Khanalizadeh (2017), “Air Pollution, Economic Growth and Health Care Expenditure”, J Econ Res., 30, 1181-90.
  • Kılıç, A. et al. (2014), “Marmara Bölgesi’ndeki Hava Kirliliğinin Modellenmesi, Kirlilik Azaltımı ve Maruziyet Analizi”, BAÜ Fen Bil. Enst. Dergisi, 16(1), 27-46.
  • Kim, H.J. & J.S. Kim (2015), “The Relationship between Smartphone Use and Subjective Musculoskeletal Symptoms and University Students”, J Phys Ther Sci., 27(3), 575-9.
  • Kuyucu, M. (2017), “Gençlerde Akıllı Telefon Kullanımı ve Akıllı Telefon Bağımlılığı Sorunsalı: ‘Akıllı Telefon (Kolik)’ Üniversite Gençliği”, Global Media Journal, 7(14), 328-359.
  • Lagravinese, R. et al. (2014), “The Impact of Air Pollution on Hospital Admissions: Evidence from Italy”, Reg. Sci. Urban Econ., 49, 278-285.
  • Laing, A. et al. (2004), “Healthcare and the Information Revolution: Re-Configuring the Healthcare Service Encounter”, Health Serv. Manag. Res., 17(3), 188-199.
  • Liu, T.C. et al. (2011), “Problematic Internet Use and Health in Adolescents: Data from a High School Survey in Connecticut”, The Journal of Clinical Psychiatry, 72(6), 836-845.
  • Murthy, N.R. & V. Ukpolo (1995), “Aggregate Health Care Expenditure in the United States: New Results”, Applied Economics Letters, 2(11), 419-421.
  • Murthy, N.R.V. & A.A. Okunade (2000), “Managed Care, Deficit Financing, and Aggregate Health Care Expenditure in The United States: A Cointegration Analysis”, Health Care Management Science, 3(4), 279-285.
  • Murthy, V.N. & A.A. Okunade (2009), “The Core Determinants of Health Expenditure in the African Context: Some Econometric Evidence for Policy”, Health Policy, 91(1), 57-62.
  • Mustafaoglu, R. et al. (2021), “The Relationship Between Smartphone Addiction and Musculoskeletal Pain Prevalence Among Young Population: A Cross-Sectional Study”, Korean J Pain., 34(1), 72-81.
  • Narayan, P.K. & S. Narayan (2008), “Does Environmental Quality Influence Health Expenditures? Empirical Evidence from A Panel of Selected OECD Countries”, Ecological Economics, 65(2), 367-374.
  • Newhouse, J.P. (1977), “Medical Care Expenditure: A Cross-National Survey”, Journal of Human Resources, Economic Journal, 12(1), 115-25.
  • Novignon, J. et al. (2015), “Health Status and Labour Force Participation in Sub-Saharan Africa: A Dynamic Panel Data Analysis”, African Development Review, 27(1), 14-26.
  • Öztürk, S. & T. Küsmez (2019), “Sağlık Harcamalarının Belirleyicileri: BRICS-T Ülkelerinin Analizi”, Çukurova Üniversitesi İİBF Dergisi, 23(1), 31-47.
  • Qureshi, M.I. et al. (2015), “The Battle of Health with Environmental Evils of Asian Countries: Promises to Keep”, Environmental Science and Pollution Research, 22(15), 11708-11715.
  • Sağlık ve Çevre Birliği HEAL (Health and Environment Alliance) (2020), Pollution from Coal Power Costs Turkey As Much As 27% of Its Total Health Expenditure - New Report, <https://www.env-health.org/pollution-from-coal-power-costs-turkey-as-much-as-27-of-its-total-health-expenditure-new-report/#1528198360386-07c79b25-0009>, 08.07.2021.
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  • Shen, J-S et al. (2021), “Does Industrial Air Pollution Increase Health Care Expenditure? Evidence from China”, Front. Public Health, 9, 695-664.
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There are 72 citations in total.

Details

Primary Language English
Subjects Economics
Journal Section Articles
Authors

Cuma Demirtaş 0000-0002-1475-5530

Munise Ilıkkan Özgür 0000-0002-8711-3264

Early Pub Date January 28, 2022
Publication Date January 31, 2022
Submission Date August 27, 2021
Published in Issue Year 2022 Volume: 30 Issue: 51

Cite

APA Demirtaş, C., & Ilıkkan Özgür, M. (2022). The Effect of Information-Communication Technologies (ICT) and Air Pollution on Health Expenditures. Sosyoekonomi, 30(51), 199-214. https://doi.org/10.17233/sosyoekonomi.2022.01.10
AMA Demirtaş C, Ilıkkan Özgür M. The Effect of Information-Communication Technologies (ICT) and Air Pollution on Health Expenditures. Sosyoekonomi. January 2022;30(51):199-214. doi:10.17233/sosyoekonomi.2022.01.10
Chicago Demirtaş, Cuma, and Munise Ilıkkan Özgür. “The Effect of Information-Communication Technologies (ICT) and Air Pollution on Health Expenditures”. Sosyoekonomi 30, no. 51 (January 2022): 199-214. https://doi.org/10.17233/sosyoekonomi.2022.01.10.
EndNote Demirtaş C, Ilıkkan Özgür M (January 1, 2022) The Effect of Information-Communication Technologies (ICT) and Air Pollution on Health Expenditures. Sosyoekonomi 30 51 199–214.
IEEE C. Demirtaş and M. Ilıkkan Özgür, “The Effect of Information-Communication Technologies (ICT) and Air Pollution on Health Expenditures”, Sosyoekonomi, vol. 30, no. 51, pp. 199–214, 2022, doi: 10.17233/sosyoekonomi.2022.01.10.
ISNAD Demirtaş, Cuma - Ilıkkan Özgür, Munise. “The Effect of Information-Communication Technologies (ICT) and Air Pollution on Health Expenditures”. Sosyoekonomi 30/51 (January 2022), 199-214. https://doi.org/10.17233/sosyoekonomi.2022.01.10.
JAMA Demirtaş C, Ilıkkan Özgür M. The Effect of Information-Communication Technologies (ICT) and Air Pollution on Health Expenditures. Sosyoekonomi. 2022;30:199–214.
MLA Demirtaş, Cuma and Munise Ilıkkan Özgür. “The Effect of Information-Communication Technologies (ICT) and Air Pollution on Health Expenditures”. Sosyoekonomi, vol. 30, no. 51, 2022, pp. 199-14, doi:10.17233/sosyoekonomi.2022.01.10.
Vancouver Demirtaş C, Ilıkkan Özgür M. The Effect of Information-Communication Technologies (ICT) and Air Pollution on Health Expenditures. Sosyoekonomi. 2022;30(51):199-214.