Populacja Złotego Wieku, zdrowe środowisko, wzrost i ubóstwo: czy Malezja rozwija się w sposób zrównoważony?
Nanthakumar Loganathan
Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia (Malezja)
Lekha Kunju Pillai Laxman
Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia (Malezja)
Abbas Mardani
Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia (Malezja)
Dalia Streimikiene
dalia.streimikiene@knf.vu.ltLithuanian Institute of Agrarian Economics, V. Kudirkos g. 18-2, 03105 Vilnius, Lithuania (Litwa)
Asan Ali Golam Hassan
Azman Hashim International Business School, Universiti Teknologi Malaysia Kuala Lumpur, 54100 Kuala Lumpur, Malaysia (Malezja)
Abstrakt
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.
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starzejąca się populacja, zdrowe środowisko, wzrost, ubóstwo, regresja kwantyluBibliografia
ACARAVCI A., OZTURK I., 2010, On the relationship between energy consumption, CO2
Google Scholar
emissions and economic growth in Europe, in: Energy, 35(12), p. 5412-5420.
Google Scholar
AHMED K., REHMAN M. U., OZTURK I., 2016, What drives carbon dioxide emissions in the long-
Google Scholar
run? evidence from selected South Asian countries, in: Renewable and Sustainable Energy Reviews, 70, p. 1142-1153.
Google Scholar
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.
Google Scholar
AL-MULALI U., WENG-WAI C., SHEAU-TING L., MOHAMMED A. H., 2015, Investigating
Google Scholar
the environmental Kuznets curve (EKC) hypothesis by utilizing the ecological footprint as an indicator of environmental degradation, in: Ecological Indicators, 48, p.315-323.
Google Scholar
APERGIS N., & OZTURK I. (2015). Testing environment Kuznets curve hypothesis in Asian countries, in: Ecological Indicators, 52, p. 16-22.
Google Scholar
BAYER C., HANCK C., 2013, Combining non-cointegrating tests, in: Journal of Time Series Analysis, 34(1), p. 83-95.
Google Scholar
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.
Google Scholar
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.
Google Scholar
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.
Google Scholar
COLE M. A., NEUMAYER E., 2004, Examining the impact of demographic factors on air pollution, in: Population and Environment, 26(1), p. 5-21.
Google Scholar
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.
Google Scholar
Department of Statistics Malaysia, 2018, Population Demographics, https://www.dosm.gov.my/ (8.01.2018).
Google Scholar
DINDA S., 2004, Environmental Kuznets curve hypothesis: a survey, in: Ecological Economics, 49, p. 431-455.
Google Scholar
European Commission, 2017, Climate Action: Paris Agreement, https://ec.europa.eu (10.07.2017).
Google Scholar
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.
Google Scholar
FOUGERE M., MERETTE M., 1999, Population ageing and economic growth in seven OECD countries, in: Economic Modelling, 16, p. 411-427.
Google Scholar
Global Footprint Network, 2018, http://www.footprintnetwork.org, (10.07.2017).
Google Scholar
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.
Google Scholar
HALICIOGLU F., 2009, An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey, in: Energy Policy, 37, p. 1156-1164.
Google Scholar
HAMID T. A., 2016, National Policies on Aging, Malaysia, http://www.unescap.org/ (10.07.2017).
Google Scholar
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.
Google Scholar
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.
Google Scholar
HIRSCHMAN C., 1980, Demographic trends in Peninsular Malaysia, in: Population and Development Review, 6, p. 103-125.
Google Scholar
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, https://www.doi.org/10.1371.
Google Scholar
KOENKER R., XIAO Z., 2004, Unit root quantile autoregression inference, in: Journal of American Statistical Association, 99, p. 775-787.
Google Scholar
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.
Google Scholar
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.
Google Scholar
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.
Google Scholar
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.
Google Scholar
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.
Google Scholar
LUZZATI T., ORSINI M., 2009, Investigating the energy-environmental Kuznets curve, in:
Google Scholar
Energy, 34(3), p. 291-300.
Google Scholar
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.
Google Scholar
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.
Google Scholar
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).
Google Scholar
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.
Google Scholar
STERN D. I., 2004, The rise and fall of the environmental Kuznets curve, in: World Development, 32(8), p. 1419-1439.
Google Scholar
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.
Google Scholar
TODARO M. P., 1989, Economic Development in the Third World, Longman, London.
Google Scholar
United Nations, 2015, World population prospects: the 2015 revision, Working Paper No. 241.
Google Scholar
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.
Google Scholar
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.
Google Scholar
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.
Google Scholar
WILLIAMSON C., 2015, World population ageing 2015, http://www.refworld.org (22.08.2017).
Google Scholar
WORLD BANK, 2015, Feature Story: The Promise of Prometheus-Golden Aging in Europe and Central Asia, http://www.worldbank.org/ (10.06.2017).
Google Scholar
WORLD BANK, 2018, World Development Indicator, http://www.worldbank.org/ (2.02.2018).
Google Scholar
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.
Google Scholar
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.
Google Scholar
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.
Google Scholar
Autorzy
Nanthakumar LoganathanAzman Hashim International Business School, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia Malezja
Autorzy
Lekha Kunju Pillai LaxmanAzman Hashim International Business School, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia Malezja
Autorzy
Abbas MardaniAzman Hashim International Business School, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia Malezja
Autorzy
Dalia Streimikienedalia.streimikiene@knf.vu.lt
Lithuanian Institute of Agrarian Economics, V. Kudirkos g. 18-2, 03105 Vilnius, Lithuania Litwa
Autorzy
Asan Ali Golam HassanAzman Hashim International Business School, Universiti Teknologi Malaysia Kuala Lumpur, 54100 Kuala Lumpur, Malaysia Malezja
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