Tytuł artykułu
Autorzy
Treść / Zawartość
Pełne teksty:
Identyfikatory
Warianty tytułu
Populacja Złotego Wieku, zdrowe środowisko, wzrost i ubóstwo: czy Malezja rozwija się w sposób zrównoważony?
Języki publikacji
Abstrakty
This study analyses the sustainability condition of a healthy environment, economic growth and poverty level in relation to the golden age population in Malaysia based on the quantile regression estimates covering the period of 1960 until 2016. Generally, studies on aging population have generated attention globally due to its possible impact on health care, greenhouse gas emissions, globalization, investment for the purpose of research and development, income inequality and energy consumption. More specifically, evidence from the current empirical study shows a positive sign of the bootstrap quantile regression relationship between a healthy environment and per capita income with the aging population. This ensures that, the country is facing the growth-led-aging population condition. Furthermore, the findings have also revealed that poverty is giving a negative effect with the aging population grows. This study may suggest a re-evaluating of the existing theories of aging population and provide new insights for policy-makers for the purpose of sustainable population planning for up-coming decades.
W niniejszym artykule dokonano analizy stanu zrównoważenia i zdrowia środowiska, wzrost gospodarczy i poziom ubóstwa w odniesieniu do populacji w Złotym Wieku w Malezji, na podstawie szacunków regresji kwantylu obejmujących okres lat 1960-2016.Uogólniając, studia odnoszące się do starzejącej się populacji wzbudzają szerokie zainteresowanie z uwagi na jej możliwy wpływ na opiekę zdrowotną, emisje gazów cieplarnianych, globalizację, inwestycje w badania i rozwoju, nierówności dochodów i zużycie energii. Dokładniej rzecz ujmując, dowody z obecnego badania empirycznego pokazują pozytywny znak relacji bootstrapingowanej regresji kwantylu między zdrowym środowiskiem a dochodem na mieszkańca w stosunku do starzejącej się populacji. Wykazuje to, że kraj stoi w obliczu starzenia się społeczeństwa pod wpływem wzrostu. Ponadto okazało się, że, ubóstwo pociąga za sobą negatywny efekt w kontekście starzenia się populacji. Przeprowadzone badanie sugeruje konieczność ponownego przeanalizowania istniejących teorii starzenia się społeczeństwa i dostarcza decydentom nowych informacji na temat zrównoważonego planowania populacji na nadchodzące dziesięciolecia.
Wydawca
Czasopismo
Rocznik
Tom
Strony
201--212
Opis fizyczny
Bibliogr. 48 poz., fig., tab.
Twórcy
autor
- Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
- Azman Hashim International Business School, Universiti Teknologi Malaysia 81310 Johor Bahru, Johor, Malaysia
autor
- Azman Hashim International Business School, Universiti Teknologi Malaysia 81310 Johor Bahru, Johor, Malaysia
autor
- Lithuanian Institute of Agrarian Economics, V. Kudirkos g. 18-2, 03105 Vilnius, Lithuania
autor
- Azman Hashim International Business School, Universiti Teknologi Malaysia Kuala Lumpur, 54100 Kuala Lumpur, Malaysia
Bibliografia
- 1. ACARAVCI A., OZTURK I., 2010, On the relationship between energy consumption, CO2 emissions and economic growth in Europe, in: Energy, 35(12), p. 5412-5420.
- 2. AHMED K., REHMAN M. U., OZTURK I., 2016, What drives carbon dioxide emissions in the longrun? evidence from selected South Asian countries, in: Renewable and Sustainable Energy Reviews, 70, p. 1142-1153.
- 3. ALABI S. A., 2013, Climate change and the ageing population: enforcing the rights to life and health under human rights, health and climate change regimes, in: Pittsburgh Journal of Environmental and Public Health Law, 7(1), p. 79-126.
- 4. AL-MULALI U., WENG-WAI C., SHEAU-TING L., MOHAMMED A. H., 2015, Investigating the environmental Kuznets curve (EKC) hypothesis by utilizing the ecological footprint as an indicator of environmental degradation, in: Ecological Indicators, 48, p.315-323.
- 5. APERGIS N., & OZTURK I. (2015). Testing environment Kuznets curve hypothesis in Asian countries, in: Ecological Indicators, 52, p. 16-22.
- 6. BAYER C., HANCK C., 2013, Combining non-cointegrating tests, in: Journal of Time Series Analysis, 34(1), p. 83-95.
- 7. BEARD J., BIGGS S., BLOOM D., FRIED L., HOGAN P., KALACHE R., OLSHANSKY J., 2012, Global population ageing: peril or promise?, in: PGDA Working Paper, 89.
- 8. CHEN J., WANG Y., WEN J., FANG F., SONG M., 2016, The influences of aging population and economic growth on Chinese rural poverty, in: Journal of Rural Studies, 47(Part B), p. 665-676.
- 9. CHIKARAISHI M., FUJIWARA A., KANEKO S., POUMANYVPNG P., KOMATSU S., KALUGIN A., 2015, The moderating effects of urbanization on carbon dioxide emissions: a latent class modeling approach. Technological Forecasting and Social Change, 90, p. 302-317.
- 10. COLE M. A., NEUMAYER E., 2004, Examining the impact of demographic factors on air pollution, in: Population and Environment, 26(1), p. 5-21.
- 11. COLLINS D., ZHENG C., 2015, Managing the poverty–CO2 reductions paradox: the case of China and the EU, in: Organization & Environment, 28(4), p. 355-373.
- 12. Department of Statistics Malaysia, 2018, Population Demographics, https://www.dosm.gov.my/(8.01.2018).
- 13. DINDA S., 2004, Environmental Kuznets curve hypothesis: a survey, in: Ecological Economics, 49, p. 431-455.
- 14. European Commission, 2017, Climate Action: Paris Agreement, https://ec.europa.eu (10.07.2017).
- 15. Feng Z. H., Zou L. L., Wei Y. M., 2011, The impact of household consumption on energy use and CO2 emissions in China, in: Energy, 36, p. 656-670.
- 16. FOUGERE M., MERETTE M., 1999, Population ageing and economic growth in seven OECD countries, in: Economic Modelling, 16, p. 411-427.
- 17. Global Footprint Network, 2018, http://www.footprintnetwork.org, (10.07.2017).
- 18. GOLAM HASSAN A. A., & MOHD MUSTAFA M., 2012, Regional Disparities, Income Inequality, and Poverty: A Cumulative Causation from Malaysia’s experience, in: Poverty and Global Recession in Southeast Asia, ISEAS, Yusof Ishak Institute, p. 106-152.
- 19. HALICIOGLU F., 2009, An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey, in: Energy Policy, 37, p. 1156-1164.
- 20. HAMID T. A., 2016, National Policies on Aging, Malaysia, http://www.unescap.org/ (10.07.2017).
- 21. HASSAN K., SALIM R., 2015, Population ageing, income growth and CO2 emission: empirical evidence from high income OECD countries, in: Journal of Economic Studies, 42(1), p. 54-67.
- 22. HASSAN M. S., 2010, The long-run relationship between population and per capita income growth in China, in: Journal of Policy Modeling, 32(3), p. 355-372.
- 23. HIRSCHMAN C., 1980, Demographic trends in Peninsular Malaysia, in: Population and Development Review, 6, p. 103-125.
- 24. KLUGE F., ZAGHENINI E., LOICHINGER E., VOGT T., 2014, The advantages of demographic change after the wave: fewer and older, but healthier, greener, and more productive?, in: PLoS ONE, 9(9), e108501, doi.org/10.1371.
- 25. KOENKER R., XIAO Z., 2004, Unit root quantile autoregression inference, in: Journal of American Statistical Association, 99, p. 775-787.
- 26. LENG O. T. S., KHAN S., VERGARA R. G., KHAN N., 2016, Policies and protections for ageing society in Malaysia, in: Journal of Southeast Asian Research, 2016, p. 1-8.
- 27. LI F., DONG S., LI X., LIANG Q., YANG W., 2011, Energy consumption-economic growth relationship and carbon dioxide emissions in China, in: Energy Policy, 39, p. 568-574.
- 28. LIDDLE B., 2014, Impact of population, age structure, and urbanization on carbon emissions/energy consumption: evidence from macro-level, cross-country analyses, in: Population and Environment, 35(3), p. 286-304.
- 29. LIDDLE B., LUNG S., 2010, Age structure, urbanization, and climate change in developed countries: revisiting STIRPAT for disaggregated population and consumption-related environmental impacts, in: Population and Environment, 31, p. 317-343.
- 30. LIN B., BENJAMIN N. I., 2017, Influencing factors on carbon emissions in China transport industry: a new evidence from quantile regression analysis, in: Journal of Cleaner Production, 150, p. 175-187.
- 31. LUZZATI T., ORSINI M., 2009, Investigating the energy-environmental Kuznets curve, in: Energy, 34(3), p. 291-300.
- 32. MENZ T., WELSCH H., 2012, Population aging and carbon emissions in OECD countries: accounting for life-cycle and cohort effects. In: Energy Economics, 34, p. 842-849.
- 33. MINX J. C., BAIOCCHI G., PETERS G. P., WEBER C. L., GUAN D., HUBACEK K. A, 2011, Carbonizing dragon: China’s fast growing CO2 emissions revisited, in: Environmental Science & Technology, 45(21), p. 9144-9153.
- 34. National Environment Health Action Plan (NEHAP), 2013, Guidance Paper of the National Environment Health Action Plan for Malaysia, http://www.nehapmalaysia.moh.gov.my (22.08.2017).
- 35. O'NEILL B. C., LIDDLE B., JIANG L., SMITH K. R., PACHUARI S., DALTON M., FUCHS R., 2012, Demographic change and carbon dioxide emissions, in: The Lancet, 380(9837), p. 157-164.
- 36. STERN D. I., 2004, The rise and fall of the environmental Kuznets curve, in: World Development, 32(8), p. 1419-1439.
- 37. TEY N. P., SIRAJ S. B., KAMARUZZMAN S. B. B., CHIN A. V., TAN M. P., SINNAPPAN G. S., MÜLLER A. M., 2016, Aging in multi-ethnic Malaysia, in: The Gerontologist, 56(4), p. 603-609.
- 38. TODARO M. P., 1989, Economic Development in the Third World, Longman, London.
- 39. United Nations, 2015, World population prospects: the 2015 revision, Working Paper No. 241.
- 40. WALKER G., TAYLOR A., WHITTET C., LYNN C., DOCHERTY C., STEPHEN B., GALLOWAY S., 2017, A practical review of energy saving technology for ageing populations, in: Applied Ergonomics, 62, p. 247-258.
- 41. WAN I.W.A., IBRAHIM W. A., ISMAIL Z., 2014, Some demographic aspects of population aging in Malaysia, in: World Applied Sciences Journal, 30(7), p. 891-894.
- 42. WANG P., WU W. S., ZHU B. Z., WEI Y. M., 2013, Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China, in: Applied Energy, 106, p. 65-71.
- 43. WILLIAMSON C., 2015, World population ageing 2015, http://www.refworld.org (22.08.2017).
- 44. WORLD BANK, 2015, Feature Story: The Promise of Prometheus-Golden Aging in Europe and Central Asia, http://www.worldbank.org/ (10.06.2017).
- 45. WORLD BANK, 2018, World Development Indicator, http://www.worldbank.org/ (2.02.2018).
- 46. XU H., SHI T., WANG M. FANG C., LIN Z., 2018, Predicting effect of forthcoming population growth-induced impervious surface increase on regional thermal environment: Xiong’an new area, North China, in: Building and Environment, 136, p. 98-106.
- 47. ZHANG C., TAN Z., 2016,. The relationship between population factors and China’s carbon emissions: does population aging matter?, in: Renewable and Sustainable Energy Reviews 65, p. 1018- 1025.
- 48. ZHOU Y., LIU Y., 2016, Does population have a larger impact on carbon dioxide emissions than income? evidence from a cross-regional panel analysis in China, in: Applied Energy, 180, p. 800-809.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ba5e7db9-6ad0-47c9-b0ed-1c6c4e58bf21