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.lt
Lithuanian 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.


Słowa kluczowe:

starzejąca się populacja, zdrowe środowisko, wzrost, ubóstwo, regresja kwantylu

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


Opublikowane
2019-07-01

Cited By / Share

Loganathan, N., Laxman, L. K. P., Mardani, A., Streimikiene, D., & Hassan, A. A. G. (2019). Populacja Złotego Wieku, zdrowe środowisko, wzrost i ubóstwo: czy Malezja rozwija się w sposób zrównoważony?. Problemy Ekorozwoju Problems of Sustainable Development, 14(2), 201–212. Pobrano z https://ph.pollub.pl/index.php/preko/article/view/5093

Autorzy

Nanthakumar Loganathan 

Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia Malezja

Autorzy

Lekha Kunju Pillai Laxman 

Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia Malezja

Autorzy

Abbas Mardani 

Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia Malezja

Autorzy

Dalia Streimikiene 
dalia.streimikiene@knf.vu.lt
Lithuanian Institute of Agrarian Economics, V. Kudirkos g. 18-2, 03105 Vilnius, Lithuania Litwa

Autorzy

Asan Ali Golam Hassan 

Azman Hashim International Business School, Universiti Teknologi Malaysia Kuala Lumpur, 54100 Kuala Lumpur, Malaysia Malezja

Statystyki

Abstract views: 17
PDF downloads: 7