Luận án này có những hạn chế nhất định:
Thứ nhất, điều quan trọng là phải nói rằng hạn chế chính của nghiên cứu này
là không có sẵn dữ liệu cho các biến được xem xét đối với một số quốc gia được sử
dụng cho nghiên cứu. Điều này cũng đặt ra giới hạn trong việc lựa chọn khoảng thời
gian cho nghiên cứu (tức là 2000–2019) vì các tác giả muốn kéo dài khoảng thời gian
nghiên cứu sang một năm cập nhật hơn nhiều (tức là năm 2022).
Thứ hai, luận án không thu thập đầy đủ hết các quốc gia có thu nhập trung
bình với các điều kiện quy định thay đổi có thể mà chỉ thu thập được 21 nước theo
các điều kiện dân số và ô nhiễm. Điều này dẫn đến kết quả hồi quy chưa phản ánh
tình hình chung cho tất cả các nước thuộc nhóm thu nhập trung bình.
Thứ ba, liên quan đến nhóm nước nghiên cứu, luận án cũng chưa chia nhỏ mẫu
nghiên cứu theo nhóm nước có thu nhập trung bình cao hơn và nhóm nước có thu
nhập trung bình thấp hơn để có thể so sánh sự khác biệt về các kết quả hồi quy. Vì
vậy, vấn đề này có thể dẫn đến việc đưa ra khuyến nghị về các chính sách chưa được
chi tiết cho từng nhóm nước.
Thứ tư, giữa quốc gia thuộc chung khu vực kinh tế thương mại với nhau
thường có sự lan tỏa về chính sách kinh tế, hay các tiêu chuẩn về môi trường. Trong
số các quốc gia nghiên cứu có những quốc gia có đặc điểm vừa nêu. Tuy nhiên, luận
án vẫn chưa xem xét tác động lan tỏa theo không gian giữa các nước.
Thứ năm, mặc dù luận án đã trình bày các yếu tố kinh tế tác động như thế nào
CIWB trong bối cảnh các nước nhóm lại, tuy nhiên lại chưa cho thấy tác động của
các yếu tố này đến CIWB theo từng quốc gia. Do đó, luận án cũng chưa thể đưa ra
các khuyến nghị cho từng quốc gia riêng.
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the Progress
of the Nation and the Probable Exhaustion of Our Coal-Mines, edited by A. W.
Flux. London, UK: Macmillan
Jorgenson, A. K. (2007). Does foreign investment harm the air we breathe and the
water we drink? A cross-national study of carbon dioxide emissions and organic
water pollution in less-developed countries, 1975 to 2000. Organization &
Environment, 20(2), 137-156.
Jorgenson, A. K. (2009). The transnational organization of production, the scale of
degradation, and ecoefficiency: A study of carbon dioxide emissions in less-
developed countries. Human Ecology Review, 16(1),64-74.
Jorgenson, A. K. (2012). The sociology of ecologically unequal exchange and carbon
dioxide emissions, 1960–2005. Social Science Research, 41(2), 242-252.
Jorgenson A. K., and Clark, B. (2012). Are the economy and the environment
decoupling? A comparative international study, 1960–2005. American
Journal of Sociology, 118(1), 1–44.
Jorgenson, A. K. (2014). Economic development and the carbon intensity of human
well-being in four groups of nations. Nature Climate Change, 4(3), 186–189
Jorgenson, A. K. (2015). Inequality and the carbon intensity of human well-being.
Journal of Environmental Studies and Science, 5(3), 277-282.
Jorgenson, A. K., & Dietz, T. (2015). Economic growth does not reduce the
ecological intensity of human well-being. Sustainability Science,10,149–156
Jorgenson, A. K., Givens, J. (2015). The changing effect of economic development
on the consumption-based carbon intensity of well-being, 1990–2008. Plos
One, 10(5), e0123920.
Jorgenson, A. K., Dietz, T., & Kelly, O. (2017). Inequality, poverty, and the carbon
intensity of human well-being in the United States: a sex-specific analysis.
Sustanability Science, 13(4),1167-1174.
Jiang, S., Ming, L., & Sato, H., (2012). Identity, inequality, and happiness: Evidence
from urban china. World Development, 40(6),1190-1200.
163
Kalt, G., Wiedenhofer, D., Görg, C., & Haberl, H. (2019). Conceptualizing energy
services: A review of energy and wellbeing along the Energy Service Cascade.
Energy Research & Social Science, 53, 47-58.
Kahneman, D., & Deaton, A. (2010). High income improves evaluation of life but
not emotional well-being. Proceedings of the National Academy of Science,
107(38),16489-16493.
Kampa, M., & Castanas, E. (2008). Human health effects of air pollution.
Environmental Pollution, 151(2), 362-367.
Kasman, A., & Duman, Y. S. (2015). CO2 emissions, economic growth, energy
consumption, trade and urbanization in new EU member and candidate
countries: a panel data analysis. Economic Modelling, 44, 97-103
Khan, M. K., Khan, M. I., & Rehan, M. (2020). The relationship between energy
consumption, economic growth and carbon dioxide emissions in Pakistan.
Financial Innovation, 6(1), 1-13.
Khan, I., Hou, F. & Le, H. P. (2021). The impact of natural resources, energy
consumption, and population growth on environmental quality: Fresh evidence
from the United States of America. Science of The Total Environment, 754,
142222
Khattak, S.I., Ahmad, M., Khan, Z. U., & Khan, A. (2020). Exploring the Impact of
Innovation, Renewable Energy Consumption, and Income on CO2 Emissions:
New evidence from the BRICS Economies. Environmental Science and
Polluttion Research, 27(12), 13866-13881.
Kiliç, C., & Balan, F. (2018). Is there an environmental Kuznets inverted-U shaped
curve?Panoeconomicus, 65(1), 79-94.
Kingston, P. W., Hubbard, R., Lapp, B., Schroeder, P., & Wilson, J. (2003). Why
education matters. Sociology of Education, 76(1), 53–70.
Kmenta, J. (1986). Elements of Econometrics, 2nd edition, Macmillan, New York,
1986.
164
Knight, K., & Rosa, E. (2011). The environmental efficiency of well-being: a cross-
national analysis. Social Science Research, 40(3), 931-949
Kollamparambil, U. (2020). Socio-economic inequality of wellbeing: A comparison
of Switzerland and South Africa. Journal of Happiness Studies, 22(2), 555-
574.
Kumar, P., Sahu, N. H., & Ansari, M. A. (2021). Export potential of climate smart
goods in India: Evidence from the poisson pseudo maximum likelihood
estimator . The International Trade Journal, 35(3), 288-308.
Kumari, N., Kumar, P., Sahu, & N. C. (2020). Do energy consumption and
environmental quality enhance subjective wellbeing in G20 countries?.
Environmental Science Polluttion Research, 28(42),60246-60267.
Kuswanto, K. (2021). The impact of economic growth on the human development
index in Jambi province in 2004-2019. Asian Journal of Economics Business
and Accounting, 21(12), 22-28.
Kuznets, S. (1955). Economic growth and income inequality. The American
Economic Review, 45(1), 1-28.
Laaksonen, M., Talala, K., Martelin, T., Rahkonen, O., Roos, E., Helakorpi, S.,
Laatikainen, T., & Prättälä, R. (2008). Health behaviours as explanations for
educational level differences in cardiovascular and all-cause mortality: a follow-
up of 60000 men and women over 23 years. The European Journal of Public
Health, 18(1), 38-43
Lakshmanasamy, T., & Maya, K. (2021). Is it income adaptation or social
comparison? The effect of relative income on happiness and the Easterlin
paradox in India. The Indian Economic Journal, 68(4): 477-495
Lamb, W. F., Steinberger, J. K., Bows-Larkin, A., Peters, G. P, Roberts, J. T., &
Wood, F. R. (2014). Transitions in pathways of human development and carbon
emissions Environmental Research. Letters, 9(1), 014011
Lamb, W. F., & Steinbeger, J. K. (2017). Human well-being and climate change
mitigation. Wiley Interdisciplinary reviews: Climate Change, 8(6), e485.
165
Le, Y., Ren, J., Shen, J., Li, T., & Zhang, C. (2015). The changing gender differences
in life expectancy in Chinese cities 2005-2010. Plos One, 10(4), e0123320.
Le, H. N, Dang, B. H., Tran, T. D. N., & Su ,T. O. H. (2021). The effectiveness of
Vietnamese policies response to climate change through ARDL analysis. Ho
Chi Minh City Open University Journal of Science -Economics and Business
Administration, 11(2), 42-52.
Lekana, H. C., & Ikiemi, C. B. S. (2021). Effect of energy consumption on human
development in the countries of the Economic and Monetary Community of
Central Africa (EMCCA). Theoretical Economics Letters, 11(3):404–421.
Li, G., Zakari, A., & Tawiah, V. (2020). Energy resource melioration and CO2
emissions in China and Nigeria: Efciency and trade perspectives. Resources
Policy, 68(C), 101769.
Li, J., Luo, Y., & Wang, S. (2019). Spatial effects of economic performance on the
carbon intensity of human well-being: The environmental Kuznets curve in
Chinese provinces. Journal of Cleaner Production, 233, 681-694
Liddle, B. (2004). Demographic dynamics and per capita environmental impact:
Using panel regressions and household decompositions to examine population
and transport. Population and Environment, 26 1) 23–39.
Liobikienė, G., & Butkus, M. (2017). Environmental Kuznets curve of greenhouse
gas emissions including technological progress and substitution efects. Energy,
135, 237-248.
Liobikienė, G. (2020). The revised approaches to income inequality impact on
production-based and consumption-based carbon dioxide emissions: Literature
review. Environmental Science and Polluttion Research, 27(9), 8980-8990.
Liu, X., Wang, X., & Meng, X. (2023). Carbon emission scenario prediction and peak
path selection in China. Energies , 16(5), 2276
Li, X., & Ullah, S. (2022). Caring for the Environment: How CO2 emissions Respond
to human capital in BRICS economies?. Environmental Science and Polluttion
Research, 29(26), 18036-18046
166
Li, S., & Zhou, C. (2019). What are the impacts of demographic structure on CO2
smissions? A regional analysis in China via heterogeneous panel estimates.
Science and The Total Environment, 650(2), 2021-2031.
Ma,C. Q., Liu, J. L., Ren,Y. S, & Jiang,Y. (2019). The impact of economic growth,
FDI and energy intensity on China’s manufacturing industry’s CO2 emissions:
An empirical study based on the fixed-effect panel quantile regression model.
Energies, 12(24), 4800
Ma, Y. Z, & Zhang, Y. (2014). Resolution of the happiness–income Paradox. Social
Indicators Research, 119(2),705-721.
Madreimov, T., Li, L. (2019). Natural-resource dependence and life expectancy: A
nonlinear relationship. Sustainable Development, 27(4),681-691.
Majeed, M. T., & Mazhar, M. (2019). Financial development and ecological
footprint: A global panel data analysis. Pakistan Journal of Commerce and
Social Sciences, 13(2), 487-514.
Majeed, M. T., & Mumtaz, S. (2017). Happiness and environmental degradation: A
global analysis. Pakistan Journal of Commerce and Social Sciences, 11(3), 753-
772.
Majeed, M. T., & Ozturk, I. (2020). Environmental degradation and population health
outcomes: A global panel data analysis. Environmental Science and Pollution
Research, 27(13), 15901-15911.
Majeed, M. T., & Tauqir, A. (2020). Effects of urbanization, industrialization,
economic growth, energy consumption, financial development on carbon
emissions: An extended STIRPAT model for heterogeneous income groups.
Pakistan Journal of Commerce and Social Sciences, 14(3), 652-681.
Magombeyi, M.T. and Odhiambo, N.M. (2017). Does foreign direct investment
reduce poverty? Empirical evidence from Tanzania. SPOUDAI-Journal of
Economics and Business, 67(2), 101-116.
167
Mahjabeen, N., Shah, S. Z., Chughtai, S., & Simonetti, B. (2020). Renewable energy,
institutional stability, environment and economic growth nexus of D-8
countries. Energy Strategy Reviews, 29,100484.
Mahfuz, K. (2008). Determinants of life expectancy in developing countries. Journal
of Developing Areas, 41(2), 185–204.
Malik, A., & Lan, J. (2016). The role of outsourcing in driving global carbon
emissions. Economic Systems Research, 28(2), 168–182.
Marques, A. C.; &, Rafaela, C. (2020). The impact of foreign direct investment on
emission reduction targets: Evidence from high- and middle- income countries.
Structural Change and Economic Dynamics, 55, 107-118.
Martinez, D. M., & Ebenhack, B. W. (2008). Understanding the role of energy
consumption in human development through the use of saturation phenomena.
Energy Policy, 36(4),1430–1435.
Mazur, A. (2011). Does increasing energy or electricity consumption improve quality
of life in industrial nations?. Energy Policy ,39(5), 2568–2572.
McGranahan, G., Jacobi, P., Songsore, J., Surjadi, C., and Kjellen, M. (2001). The
Citizens at Risk, From Urban Sanitation to Sustainable Cities. Earthscan,
London.
McGee, J. A., Ergas, C., Greiner, P. T., & Clement, M. T. (2017). How do slums
change the relationship between urbanization and the carbon intensity of well-
being? Plos One, 12(12), e0189024.
McGillivray, M., & Clarke, M. (2008). Understanding Human Well-being. Bookwell
Publications, New Delhi, India.
Mechakra-Tahiri, S. D., Freeman, E. E., Haddad, S., Samson, E., & Zunzunegui, M.
V. (2012). The gender gap in mobility: A global cross-sectional study. BMC
Public Health, 12(1), 598.
Menz, T., & Jan, K. (2011). Population aging and environmental quality in OECD
countries: Evidence from sulfur dioxide emissions data .Population and
Environment, 33(1), 55-79.
168
Merican, Y., Yusop, Z., Noor, Z. M., & Hook, L. S. (2007). Foreign direct investment
and the pollution in five ASEAN nations. International Journal of Economics
and Management, 1(2), 245-261.
Meyer, A. (2000). Contraction & Convergence: The Global Solution to Climate
Change. Fox Hole, UK: Green Books.
Mikayilov, J. I., Galeotti, M., & Hasanov, F. J. (2018). The impact of economic
growth on CO2 emissions in Azerbaijan. Journal of Cleaner Production,
197(1), 1558-1572
Mirowsky, J., & Ross, C. E. ( 2003). Education, social status, and health. New York:
Aldine de Gruyter.
Mirza, F. M., Sinha, A., Khan, J. R., Kalugina, O. A.,& Zafar, M. W. (2022). Impact
of energy efficiency on CO2 emissions: Empirical evidence from developing
countries. Gondwana Research. 106, 64–77.
Mol, A. (2002). Ecological modernization and the global economy. Global
Environmental Politics, 2(2), 92-115.
Mol, A., Spaargaren,G., Sonnenfeld, D. (2009). Ecological Modernisation: Three
Decades of Policy, Practice and Theoretical Reflection in The Ecological
Modernisation Reader, edited by Arthur Mol, Gert Spaargaren, and David
Sonnenfeld. London: Routledge.
Mosconi, E. M., Colantoni, A., Gambella, F., Cudlinová, E., Salvati, L., & Rodrigo-
Comino, J. (2020). Revisiting the environmental kuznets curve: The spatial
interaction between economy and territory. Economies, 8(3), 1-20.
Moudatsou, A. (2003). Foreign direct investment and economic growth in the
European Union. Journal of Economic Integration, 18(4), 689-707
Nagel, K., Herzer, D., & Nunnenkamp, P. (2015). How does FDI affect health?.
International Economic Journal, 29(4), 655-679
NASA. (n.d.). Carbon Dioxide Concentration. Climate Change: Vital Signs of the
Planet. Retrieved November 21, 2021, from https://climate.nasa.gov/vital-
signs/carbon- dioxide
169
Navarro-Azorín, J. M., & Artal-Tur, A. (2015). Foot voting in Spain: What do
internal migrations say about quality of life in the Spanish municipalities?.
Social Indicators Research, 124(2), 501-515.
Nguyen, H. T. P. (2002). Foreign Direct Investment and its Contributions to
Economic Growth and Poverty Reduction in Vietnam (1986–2001). Frankfurt
am Main: Peter Lang.
Nguyen, H. T. T., Nguyen, C. V., Nguyen, C. V. (2020). The effect of economic growth
and urbanization on poverty reduction in Vietnam. The Journal of Asian Finance,
Economics and Business. 7(7), 229-239.
Nguyen, T., Dang, B. H., Tran, T. D. N, & Su, T. O. H. (2020). The Role of
Renewable Energy Consumption and FDI in Testing the Existing of
Environmental Kuznets Curve in Vietnam. International Journal of Energy
Economics and Policy, 11(1), 293-301.
Nguyen, T., Dang, B.H. (2021). The impact of energy consumption on Carbon
Intensity of Human Well-Being (CIWB). Ho Chi Minh City Open University
Journal of Science – Economics and Business Administration, 11(1),19-28
Nguyen, V. C. T., & Le, H. Q. (2022). Renewable energy consumption,
nonrenewable energy consumption, CO2 emissions and economic growth in
Vietnam. Management of Environmental Quality, 33(2), 419-434.
Nie, Y. , Liu, Q., Liu, R., Ren, D., Zhong, Y., & Yu, F. (2022). The threshold effect
of FDI on CO2 emission in belt and road countries. International Journal of.
Environmental Research and Public Health, 19(6), 3523.
OECD (2002). Foreign direct investment for development: Maximising benefits,
minimising costs. Paris: OECD. Available at:
https://www.oecd.org/investment/investmentfordevelopment/1959815.pdf
Okulicz-Kozaryn, A., & Altman, M. (2020). The happiness-energy paradox: energy
use is unrelated to subjective well-being. Applied Research in Quality of Life,
15(4), 1055-1067.
170
Onanuga, O., & Onanuga, A. (2014). Economics of the Environment and Infant
Mortality in Sub-Saharan Africa. African Journal of Scientific Research, 12(1),
689- 703.
Osadume, R., & University, E. O. (2021). Impact of economic growth on carbon
emissions in selected West African countries, 1980–2019, Journal of Money
and Business, 1(1), 8-23.
Omar , D. A. (2020). Inter-Relationship between Economic Development and Human
Development- Analytical Study of selected Arab Countries. Utopía y Praxis
Latinoamericana, 25(1), 85-95.
Omri, A. (2014). An international literature survey on energy-economic growth
nexus: Evidence from country-specific studies. Renewable and Sustainable
Energy Reviews, 38, 951-959.
Ouedraogo, N. S. (2013). Energy consumption and economic growth: Evidence from
the Economic Community of West African States (ECOWAS). Energy
Economics, 36, 637-647.
Ozturk, Z., & Oz, D. (2016). The relationship between energy consumption, income,
foreign direct investment, and CO2 emissions: The case of Turkey. Journal of
The Faculty of Economics and Administrative Sciences, 6(2), 269-288
Pao, H. T., Yu, H. C., & Yang, Y. H. (2011). Modelling CO2 emissions, energy use,
and economic growth in Russia. Energy, 36, 5094-5100.
Pao, H. T., & Tsai, C. M. (2011). Multivariate Granger causality between CO2
emissions, energy consumption, FDI (foreign direct investment) and GDP
(gross domestic product): evidence from a panel of BRIC (Brazil, Russian
Federation, India, and China) countries. Energy, 36(1), 685-693.
Parks, R. W. (1967). Efficient Estimation of a System of Regression Equations
whenDisturbances are Both Serially and Contemporaneously Correlated.
Journal of the American Statistical Association, 62(318), 500-509.
171
Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in
panels. University of Cambridge, Faculty of Economics, Cambridge Working
Papers in Economics No. 0435.
Pirlogea, C. (2012). The human development relies on energy. Panel data evidence.
Procedia economics and Finance, 3, 496-501.
Polimeni, J., Mayumi, K., Giampietro, M., & Alcott, B. (2008). The Jevons paradox
and the myth of resource efficiency improvements. London: Earthscan.
Poumanyvong, P., Kaneko, S., & Shobhakar, D. (2012). Impacts of urbanization on
national transport and road energy use: Evidence from low, middle and high
income countries.Energy Policy, 46, 268-277.
Prescott-Allen, R. (2001). The well-being of nations: a country-by-country index of
quality of life and the environment. Island Press, Washington, DC
Qureshi F., Qureshi S., Vo, X. V., & Junejo, I. (2020). Revisiting the nexus among
foreign direct investment, corruption and growth in developing and developed
markets. Borsa istanbul Review, 21(1),80-91.
Raffin N., & Seegmuller, T. (2014). Longevity, pollution and growth. Mathematical
Social Sciences, 69,22– 33.
Rahman, M. M. (2020). Environmental degradation: The role of electricity
consumption, economic growth and globalisation. Journal of Environmental
Management, 253, 109742.
Rahman, M. M. (2017). Do population density, economic growth, energy use and
exports adversely affect environmental quality in Asian populous countries?
Renewable and Sustainable Energy Review, 77, 506-514.
Rahman, M. M., Nepal, R., & Alam, K. (2021). Impacts of human capital, exports,
economic growth and energy consumption on CO2 emissions of a cross-
sectionally dependent panel: Evidence from the newly industrialized countries
(NICs). Environmental Science and Policy, 121, 24-36.
172
Rahman, M. M., Rana, R., & Khanam, R. (2022). Determinants of life expectancy in
most polluted countries: Exploring the effect of environmental degradation.
Plos One, 17(1), e0262802
Ren, S., Yuan, B., Ma, X., & Chen, X. (2014). International trade, FDI (foreign direct
investment) and embodied CO2 emissions: A case study of China industrial
sectors. China Economic Review, 28, 123-134.
Rocheleau, D., Thomas-Slayter, B., & Wangari, E. (1996). Feminist political
ecology: Global issues and local experiences. Routledge, New York.
Rogers, G. B. (1979). Income and inequality as determinants of mortality: An
international cross-section analysis. Population Studies, 33(2), 343-351.
Romer, P. M. (1990). Endogenous technological change. Journal of Political
Economy, 95(5), 71-102.
Sander, W. (2011). Location and happiness in the United States. Economics Letters,
112(3), 277-279.
Sahoo, M., Gupta, M., & Srivastava, P. (2021). Does information and communication
technology and financial development lead to environmental sustainability in
India? An empirical insight. Telematics and Informatics, 60, 101598.
Salahuddin, M., Vink, N., Ralph, N., & Gow, J. (2020). Effects of economic growth,
foreign direct investment and internet use on child health outcomes: empirical
evidence from South Africa. Development Studies Research, 7(1), 1-17.
Sapkota, P., & Bastola, U. (2017). Foreign direct investment, income, and
environmental pollution in developing countries: Panel data analysis of Latin
America. Energy Economics, 64(C), 206-212.
Sardar, M., Islam, N., & Clarke, M. (2002). The relationship between economic
development and social welfare: A new adjusted GDP measure of welfare.
Social Indicators Research, 57(2), 201-228.
Sarracino, F. (2013). Determinants of subjective well-being in high and low income
countries: do happiness equations differ across countries? Journal of Socio-
Economics, 42(C), 51-66.
173
Sarpong, S. Y., Bein, M. A., Gyamfi, B. A., Sarkodie, S. A. (2020). The impact of
tourism arrivals, tourism receipts and renewable energy consumption on quality
of life: a panel study of Southern African region. Heliyon, 6(11),e05351.
Schnaiberg, A., & Gould, K. (1994). Environment and society: The enduring conflict.
New York, NY: St. Martin’s.
Schnaiberg, A. (1980). The environment: From surplus to scarcity. New York, NY:
Oxford University Press.
Sebri, M., & Ben-Salha, O. (2014). On the causal dynamics between economic
growth, renewable energy consumption, CO2 emissions and trade openness:
Fresh evidence from BRICS countries. Renewable and Sustainable Energy
Reviews, 39, 14-23.
Singh-Manoux, A., Gueguen, A., Ferrie, J., Shipley, M., Martikainen, P., Bonenfant,
S., Goldberg, M., & Marmot, M. (2008). Gender differences in the association
between morbidity and mortality among middle-aged men and women.
American Journal of Public Health, 98(12), 2251-2257.
Shafiei, S., & Salim, R. A. (2014). Non-renewable and renewable energy
consumption and CO2 emissions in OECD countries: a comparative analysis.
Energy Policy, 66, 547-556.
Shahbaz, M., & Sinha, A. (2019). Environmental Kuznets curve for CO2 emissions:
A literature survey. Journal of Economic Studies, 46(1), 106-168
Shahbaz, M., Mallick, H., Mahalikc, M. K., Loganathan, N. (2015). Does
globalization impede environmental quality in India?. Ecological Indicators,52,
379-393.
Shahbaz, M., Nasir, M. A., & Roubaud, D. (2018). Environmental degradation in
France: The effects of FDI, financial development, andenergy innovations.
Energy Economics, 74, 843-857.
Shahbaz, M., Ilham, H., & Hoang, T. H. V. (2019). Economic growth and
environmental degradation in Vietnam: Is the environmental Kuznets curve a
complete picture?Emerging Markets Review, Elsevier, 38(C), 197-218.
174
Shen, C. E., & Williamson, J. B. (1997). Child mortality, women’s status, economic
dependency, and state strength: A cross-national study of less developed
countries. Social Forces, 76(2), 667-694.
Smyth, R., Mishra, V., & Qian, X. (2008). The environment and well-being in urban
China. Ecological Economics, 68(1-2), 547-555.
Sohag, K., Md Al Mamun, M. A., Uddin, G. S., & Ahmed, A. M. (2017). Sectoral
output, energy use, and CO2 emission in middle-income countries.
Environmental Science vad Pollution Research, 24(10),9754-9764
Spaargaren, G., & Mol, A. P. J. (1992). Sociology, environment and modernity:
ecological modernization as a theory of social change. Society and Natural
Resources, 5(4),324-344.
Stiglitz, J.E. (2000). Capital market liberalization, economic growth, and instability.
World Development, 28, 1075-1086.
Sweidan, O.D. (2017). Economic performance and carbon intensity of human well-
being: empirical evidence from the MENA region. Journal of Environmental
Planning and Management, 61(4), 699-723.
Sweidan, O.D., & Alwaked, A.A. (2016). Economic development and the energy
intensity of human well-being: Evidence from the GCC countries. Renewable
and Sustainable Energy Reviews, 55, 1363-1369.
Taheri, E , Lisaniler, F. G., & Payaslioglu, C. (2021). Female Labour Force
Participation: What Prevents Sustainable Development Goals from Being
Realised in Iran?. Sustainability, 13(21), 1-17.
Taghizadeh-Hesary, F., Rasoulinezhad, E., Yoshino, N., Chang, Y., Taghizadeh-
Hesary, F., & P. J. Morgan, P.J. ( 2020). The Energy–Pollution–Health Nexus:
A Panel Data Analysis of Low- and Middle-Income Asian Nations. ADBI
Working Paper 1086. Tokyo: Asian Development Bank Institute.
Tanser, F. C., Sharp, B., & Le Sueur, D. (2003). Potential effect of climate change on
malaria transmission in Africa. The Lancet, 362(9398), 1792-1798.
175
Tang, C. F., & Tan, B. W.( 2015). The impact of energy consumption, income and
foreign direct investment on carbon dioxide emissions in Vietnam. Energy, 79,
447-454.
Tella, R. D., MacCulloch, R. J., & Oswald, A. J. (2003). The macroeconomics of
happiness. The Review of Economics and Statistics, 85(4), 809-827.
Tiba, S., & Omri, A. (2017). Literature survey on the relationships between energy,
environment and economic growth. Renewable and Sustainable Energy
Reviews, 69, 1129-1146.
Tiwari, A. K., Shahbaz, M., & Hye, M. Q. A. (2013). The environmental Kuznets
curve and the role of coal consumption in India: Cointegration and causality
analysis in an open economy. Renewable and Sustainable Energy Reveiws, 18
(C), 519-527.
To, H. A., Ha, T. T. D., Nguyen, M. H., & Vo, H. D. (2019). The impact of foreign
direct investment on environment degradation: Evidence from emerging
markets in Asia. International Journal of Environmental Research and Public
Health, 16(9), 1636.
Tran, T. H. (2006). Impacts of Foreign Direct Investment on Poverty Reduction in
Vietnam. Tokyo: IDS Program, GRIPS.
Tran, T. Đ. (2010). Giáo trình mô hình tăng trưởng kinh tế. Nhà xuất bản đại học
kinh tế Quốc Dân.
Tran, Q. H. (2022). The impact of green finance, economic growth and energy usage
on CO2 emission in Vietnam – a multivariate time series analysis, China
Finance Review International, 12(2), 280-296.
Turedi, S. , & Turedi, N. (2021). The effects of renewable and non-renewable energy
consumption and economic growth on CO2 emissions: Empirical evidence from
developing countries. Business and Economics Research Journal, 12(4), 751-
765.
Uchiyama, K. (2016). Environmental Kuznets Curve Hypothesis and Carbon Dioxide
Emissions. Springer Briefs in Economics, Springer, 978-4-431-55921-4
176
Uddin, M. M. (2014). Causal relationship between education, Carbon Dioxide (CO2)
emission and economic growth in Bangladesh. IOSR Journal of Humanities and
Social Science, 19(4), 60–67.
UNCTAD ( 2017). Rapport 2017 sur les pays les moins avancés: L’accès à l’énergie
comme vecteur de transformation. Numéro F.17.II.D.6. CNUCED.
https://unctad.org/system/files/official-document/ldcr2017_fr.pdf
UNCTAD (2018). World Investment Report 2018. Investmet and New Industrial
Policies. United Nations Conference on Trade and Development.
https://doi.org/10.1016/j.spinee.2004.12.003.
United Nations Educational, Scientific and Cultural Organization (UNESCO).
(2013). ESD—Building a better, fairer world for the 21st century. Available
online:
United Nations Inter-agency Group for Child Mortality Estimation (UN IGME).
(2017). Latest Estimates on Child Mortality.
United Nations (2019). World Urbanization Prospects 2018 Highlights. Department
of Economic and Social Affairs Population Division.
https://population.un.org/wup/publications/Files/WUP2018-Highlights.pdf
Uprety, D. (2018). Skilled migration and health outcomes in developing countries.
International Journal of Health Economics and Management, 19(1),1-14.
Veenhoven, R. (2002). Why social policy needs subjective indicators. Social
Indicators Research, 58(1), 33–46.
Vivarelli, M. (2015). The middle income trap: a way out basedon technological and
structural change. Economic Change and Restructuring, 49, 159-193.
Vo, H. D, & Ho, C. M. (2021). Foreign investment, economic growth, and
environmental degradation since the 1986 “Economic Renovation” in
Vietnam. Environomental Science and Polluttion Research, 28(3), 1-11.
Wang L., Li, Y., Li, H., Zhang, F., Rosenberg, M., Yang, L., et al. (2014). A study of
air pollutants influencing life expectancy and longevity from spatial perspective
in China. Science of the Total Environment, 487C(1), 57-64.
177
Wang, B., & Wang, Z. (2017). Imported technology and CO2 emission in China:
Collecting evidence through bound testing and VECM approach. Renewable
and Sustainable Energy Reviews, 82(3), 4204-4214
Wang, Y. , Chen, L., & Kubota, J. (2015). The relationship between urbanization,
energy use and carbon emissions: evidence from a panel of Association of
Southeast Asian Nations (ASEAN) countries. Journal of Cleaner Production,
112(2), 1368-1374
Wang, Z., Bui, Q., Zhang, B., Nawarathna, C. L. K., & Mombeui, C. (2020). The
nexus between renewable energy consumption and human development in
BRICS countries: The moderating role of public debt. Renewable Energy,
165(1), 381-390.
Wang, Q., Niu, G., Gan, X., Cai, Q. (2022). Green returns to education: Does
education affect pro-environmental attitudes and behaviors in China? Plos One,
17(2), e0263383
Wang, C., Wen, B., Wang, F., Jin, L., & Ye, Y. (2017). Factors driving energy-related
carbon emissions in Xinjiang: Applying the extended STIRPAT model. Polish
Journal of Environonmetal Studies, 26(4), 1747-1755
Wen, M., & Gu, D. (2012). Air pollution shortens life expectancy and health
expectancy for older adults: the case of China. Journals of Gerontology Series
A: Biomedical Sciences and Medical Sciences, 67 (11),1219-1229.
Wilkinson, R. G.(1996). Unhealthy societies: The afflictions of inequality. London:
Routledge
World Resource Institute (2019). Historic emissions. https://cait.wri.org/
World Health Organization (2018). Ambient air pollution: health impacts.
Department of Public Health, Environmental and Social Determinants of Health
(PHE). Geneva: WHO; https://www.who.int/ airpollution/ambient/health-
impacts/en/.
178
Wu, Y., Zhu, Q., & Zhu, B. (2018). Decoupling analysis of world economic growth
and CO2 emissions: A study comparing developed and developing countries.
Journal of Cleaner Production, 190, 94-103.
Xue, B., Geng, Y., Müller, K., Lu, C., & Ren, W. (2014). Understanding the causality
between carbon dioxide emission, fossil energy consumption and economic
growth in developed countries: An empirical study. Sustainability (Basel,
Switzerland), 6(2), 1037-1045.
Yang, Y., Cai, H., Yang, Z., Zhao, X., Li, M., Han, R., & Chen, S. H. (2022). Why
does nature enhance psychological well-being?A Self-Determination account.
Journal of Environmental Psychology, 83(2022), 101872.
York, R. (2006). Ecological paradoxes: William Stanley Jevons and the paperless
office. Human Ecology Review, 13(2),143-47.
York, R., Rosa, E. A., and Dietz, T. (2003). STIRPAT, IPAT and IMPACT: analytic
tools for unpacking the driving forces of environmental impacts. Ecological
Econmics, 46(3), 351-365.
Ying, F., Liu, L. C., Wu,G., Wei,Y. M. (2006). Analyzing impact factors of CO2
emissions using the STIRPAT model. Environmental Impact Assessment
Review , 26(4), 377-395.
Zhang, Z., Zhao, M., Zhang,Y., & Feng, Y. (2023). How does urbanization affect
public health? New evidence from 175 countries worldwide. Frontier in Public
Health, 10,109696
Zhang, T., Shi, W., Huang, Z., Gao, D., Guo, Z., & Chongsuvivatwong, V. (2016).
Gender and ethnic health disparities among the elderly in rural Guangxi, China:
estimating quality-adjusted life expectancy. Global Health Action, 9(s4), 32261.
Zhang, C., & Zhou, X. (2016). Does Foreign Direct Investment Lead to Lower CO2
Emissions? Evidence from a Regional Analysis in China. Renewable and
Sustainable Energy Reviews, 58, 943-951.
179
Zhu, H., Duan, L., Guo,Y., & Yu, K. (2016). The Effects of FDI, Economic Growth
and Energy Consumption on Carbon Emissions in ASEAN-5: Evidence from
Panel Quantile Regression. Economic Modelling, 58, 237-248.
Zoundi, Z. (2017). CO2 emissions, renewable energy and the environmental Kuznets
curve, a panel cointegration approach. Renewable and Sustainable Energy
Reviews, 72, 1067–1075.
Zunzunegui, M.V., Alvarado, B.E., Beland, F., & Vissandjee, B. (2009). Explaining
health differences between men and women in later life: A cross-city
comparison in Latin America and the Caribbean. Social Science and Medicine,
68(2), 235–242.
180
PHỤ LỤC
Phụ lục 1: Kết quả tính CIWB
Country Year CO2 LE CIWB
Algeria 2000 2.6487 70.64 60.56435
Algeria 2001 2.6638 71.116 60.18021
Algeria 2002 2.8067 71.605 59.9688
Algeria 2003 2.822 72.101 59.57748
Algeria 2004 2.6873 72.594 58.98733
Algeria 2005 3.2119 73.072 59.31938
Algeria 2006 2.9786 73.521 58.63979
Algeria 2007 3.1727 73.936 58.57317
Algeria 2008 3.1394 74.311 58.23278
Algeria 2009 3.4014 74.644 58.32399
Algeria 2010 3.2746 74.938 57.92597
Algeria 2011 3.2679 75.199 57.71601
Algeria 2012 3.4269 75.436 57.74545
Algeria 2013 3.4723 75.661 57.63373
Algeria 2014 3.6617 75.878 57.71852
Algeria 2015 3.7677 76.09 57.69702
Algeria 2016 3.6726 76.298 57.41508
Algeria 2017 3.7434 76.499 57.35678
Algeria 2018 3.8241 76.693 57.31691
Algeria 2019 3.8706 76.88 57.23798
Argentina 2000 3.861 73.576 59.79526
Argentina 2001 3.5949 73.755 59.28935
Argentina 2002 3.3011 73.932 58.75001
Argentina 2003 3.5347 74.107 58.9265
Argentina 2004 4.0799 74.28 59.52324
Argentina 2005 4.1507 74.451 59.48162
Argentina 2006 4.4441 74.62 59.7401
Argentina 2007 4.3908 74.787 59.53543
Argentina 2008 4.6932 74.952 59.80782
Argentina 2009 4.4204 75.116 59.31407
Argentina 2010 4.5661 75.278 59.37998
Argentina 2011 4.6048 75.439 59.30455
Argentina 2012 4.5914 75.598 59.16209
Argentina 2013 4.506 75.756 58.92597
Argentina 2014 4.4247 75.913 58.69701
Argentina 2015 4.4667 76.068 58.63262
Argentina 2016 4.3894 76.221 58.41351
Argentina 2017 4.2744 76.372 58.14744
181
Country Year CO2 LE CIWB
Argentina 2018 4.0824 76.52 57.78406
Argentina 2019 3.7419 76.667 57.22913
Brazil 2000 1.9462 70.116 60.01506
Brazil 2001 1.9536 70.462 59.73086
Brazil 2002 1.937 70.813 59.41135
Brazil 2003 1.8956 71.17 59.05516
Brazil 2004 1.9642 71.531 58.85303
Brazil 2005 1.9576 71.896 58.54507
Brazil 2006 1.9603 72.26 58.25389
Brazil 2007 2.0542 72.618 58.09601
Brazil 2008 2.1488 72.966 57.94858
Brazil 2009 2.0103 73.3 57.49558
Brazil 2010 2.2496 73.619 57.5715
Brazil 2011 2.342 73.921 57.46129
Brazil 2012 2.5005 74.209 57.45187
Brazil 2013 2.6484 74.483 57.43909
Brazil 2014 2.7515 74.745 57.37569
Brazil 2015 2.5889 74.994 56.96837
Brazil 2016 2.3901 75.23 56.5254
Brazil 2017 2.4094 75.456 56.38168
Brazil 2018 2.3091 75.672 56.0882
Brazil 2019 2.3018 75.881 55.92409
China 2000 2.6649 71.397 59.9449
China 2001 2.7056 71.732 59.72169
China 2002 2.9622 72.061 59.80511
China 2003 3.4555 72.381 60.22224
China 2004 3.9482 72.689 60.64488
China 2005 4.4159 72.985 61.03975
China 2006 4.8481 73.271 61.39136
China 2007 5.1847 73.553 61.61361
China 2008 5.5386 73.835 61.8576
China 2009 5.7939 74.119 61.96503
China 2010 6.295 74.409 62.39697
China 2011 6.9223 74.708 62.98691
China 2012 7.0623 75.013 62.91744
China 2013 7.1506 75.321 62.77739
China 2014 7.1353 75.629 62.5015
China 2015 7.0003 75.928 62.07757
China 2016 6.8742 76.21 61.6824
China 2017 6.9812 76.47 61.61261
China 2018 7.2077 76.704 61.71994
182
Country Year CO2 LE CIWB
China 2019 7.3163 76.912 61.69422
Colombia 2000 1.4196 72.945 56.9656
Colombia 2001 1.3896 73.241 56.69442
Colombia 2002 1.3561 73.517 56.43601
Colombia 2003 1.3763 73.777 56.2645
Colombia 2004 1.2969 74.026 55.96798
Colombia 2005 1.4083 74.265 55.93787
Colombia 2006 1.4353 74.5 55.79766
Colombia 2007 1.3759 74.732 55.54496
Colombia 2008 1.506 74.962 55.54809
Colombia 2009 1.6214 75.193 55.53091
Colombia 2010 1.6867 75.424 55.44742
Colombia 2011 1.6661 75.655 55.25089
Colombia 2012 1.7304 75.882 55.17034
Colombia 2013 1.8804 76.105 55.20578
Colombia 2014 1.8885 76.322 55.05943
Colombia 2015 1.9353 76.531 54.97022
Colombia 2016 1.9355 76.732 54.82649
Colombia 2017 1.7644 76.925 54.46651
Colombia 2018 1.7092 77.109 54.26495
Colombia 2019 1.7962 77.287 54.25254
Egypt 2000 2.039 68.602 61.47483
Egypt 2001 1.7718 68.796 60.91308
Egypt 2002 1.7596 68.961 60.74964
Egypt 2003 2.0111 69.116 60.97728
Egypt 2004 2.0108 69.271 60.84041
Egypt 2005 2.1853 69.434 60.9489
Egypt 2006 2.2897 69.608 60.94653
Egypt 2007 2.3764 69.788 60.91357
Egypt 2008 2.4457 69.971 60.8533
Egypt 2009 2.5041 70.159 60.77347
Egypt 2010 2.4268 70.349 60.49945
Egypt 2011 2.5202 70.543 60.46547
Egypt 2012 2.4151 70.736 60.15192
Egypt 2013 2.3409 70.928 59.88447
Egypt 2014 2.4514 71.117 59.8807
Egypt 2015 2.3708 71.302 59.6123
Egypt 2016 2.4789 71.482 59.61341
Egypt 2017 2.5985 71.656 59.63556
Egypt 2018 2.3137 71.825 59.09873
Egypt 2019 2.2501 71.99 58.87493
183
Country Year CO2 LE CIWB
India 2000 0.9265 62.505 65.69148
India 2001 0.9233 62.907 65.2666
India 2002 0.9357 63.304 64.87688
India 2003 0.9533 63.699 64.50221
India 2004 0.9963 64.095 64.17078
India 2005 1.0334 64.5 63.82536
India 2006 1.0809 64.918 63.48757
India 2007 1.1479 65.35 63.17041
India 2008 1.2183 65.794 62.85111
India 2009 1.3244 66.244 62.58432
India 2010 1.3594 66.693 62.21546
India 2011 1.4238 67.13 61.90639
India 2012 1.5513 67.545 61.7148
India 2013 1.5903 67.931 61.42153
India 2014 1.6871 68.286 61.24397
India 2015 1.7315 68.607 61.02214
India 2016 1.7986 68.897 60.86268
India 2017 1.8181 69.165 60.65504
India 2018 1.922 69.416 60.5854
India 2019 1.9218 69.656 60.37636
Indonesia 2000 1.2989 65.772 62.99468
Indonesia 2001 1.4147 66.037 62.91724
Indonesia 2002 1.43 66.321 62.67089
Indonesia 2003 1.5453 66.631 62.55236
Indonesia 2004 1.5424 66.969 62.23232
Indonesia 2005 1.5422 67.334 61.89467
Indonesia 2006 1.5119 67.717 61.49986
Indonesia 2007 1.6708 68.105 61.38281
Indonesia 2008 1.5556 68.485 60.874
Indonesia 2009 1.6845 68.853 60.73586
Indonesia 2010 1.8688 69.205 60.69324
Indonesia 2011 2.0593 69.542 60.67306
Indonesia 2012 2.0991 69.866 60.44866
Indonesia 2013 1.9701 70.179 59.99524
Indonesia 2014 1.9558 70.481 59.71788
Indonesia 2015 2.1343 70.768 59.72793
Indonesia 2016 2.1443 71.035 59.51751
Indonesia 2017 2.1733 71.282 59.35195
Indonesia 2018 2.2972 71.509 59.33681
Indonesia 2019 2.441 71.716 59.36605
Morocco 2000 1.153 68.684 60.11147
184
Country Year CO2 LE CIWB
Morocco 2001 1.2637 69.193 59.82926
Morocco 2002 1.2666 69.769 59.33948
Morocco 2003 1.2279 70.399 58.75348
Morocco 2004 1.4021 71.067 58.44634
Morocco 2005 1.4664 71.746 57.98283
Morocco 2006 1.5014 72.403 57.50502
Morocco 2007 1.5695 73.009 57.12099
Morocco 2008 1.6289 73.546 56.78468
Morocco 2009 1.5929 74.003 56.38536
Morocco 2010 1.6809 74.382 56.21637
Morocco 2011 1.6737 74.696 55.97041
Morocco 2012 1.7133 74.97 55.81867
Morocco 2013 1.6789 75.227 55.58225
Morocco 2014 1.6722 75.477 55.38927
Morocco 2015 1.689 75.726 55.22933
Morocco 2016 1.6642 75.974 55.0164
Morocco 2017 1.7321 76.218 54.92936
Morocco 2018 1.729 76.453 54.75646
Morocco 2019 1.8704 76.68 54.77877
Malaysia 2000 5.4411 72.594 62.78075
Malaysia 2001 5.6513 72.782 62.90739
Malaysia 2002 5.5815 72.976 62.64451
Malaysia 2003 6.3372 73.17 63.51122
Malaysia 2004 6.7923 73.364 63.96361
Malaysia 2005 7.0583 73.555 64.15915
Malaysia 2006 6.8234 73.744 63.67618
Malaysia 2007 6.8283 73.931 63.52174
Malaysia 2008 7.4161 74.118 64.15454
Malaysia 2009 7.2368 74.305 63.75178
Malaysia 2010 7.6551 74.493 64.15242
Malaysia 2011 7.5737 74.683 63.88021
Malaysia 2012 7.4037 74.877 63.48767
Malaysia 2013 8.2286 75.072 64.42157
Malaysia 2014 8.1975 75.268 64.21249
Malaysia 2015 7.659 75.461 63.33465
Malaysia 2016 8.1657 75.649 63.84706
Malaysia 2017 8.0554 75.828 63.55088
Malaysia 2018 8.6345 75.997 64.17156
Malaysia 2019 8.7218 76.156 64.15221
Mexico 2000 4.0047 74.34 59.37404
185
Country Year CO2 LE CIWB
Mexico 2001 4.0948 74.658 59.24182
Mexico 2002 4.0514 74.922 58.97515
Mexico 2003 4.2467 75.118 59.08126
Mexico 2004 4.199 75.243 58.91971
Mexico 2005 4.3771 75.3 59.11163
Mexico 2006 4.4307 75.296 59.18596
Mexico 2007 4.3948 75.255 59.1705
Mexico 2008 4.4487 75.194 59.29018
Mexico 2009 4.2316 75.128 59.0533
Mexico 2010 4.065 75.065 58.88092
Mexico 2011 4.1848 75.011 59.08301
Mexico 2012 4.232 74.966 59.18144
Mexico 2013 4.1247 74.93 59.06668
Mexico 2014 3.9976 74.908 58.91435
Mexico 2015 3.9552 74.904 58.86089
Mexico 2016 3.9146 74.917 58.79648
Mexico 2017 3.6854 74.947 58.46713
Mexico 2018 3.6081 74.992 58.32897
Mexico 2019 3.4138 75.054 58.0219
Peru 2000 1.1377 71.111 58.03836
Peru 2001 1.0068 71.505 57.5355
Peru 2002 0.9966 71.882 57.21955
Peru 2003 0.9575 72.24 56.88187
Peru 2004 1.1478 72.581 56.87681
Peru 2005 1.3254 72.908 56.86531
Peru 2006 1.0117 73.222 56.19303
Peru 2007 1.2236 73.528 56.24736
Peru 2008 1.4288 73.826 56.29827
Peru 2009 1.7823 74.12 56.55189
Peru 2010 1.9696 74.41 56.5832
Peru 2011 1.6718 74.697 55.96712
Peru 2012 1.8315 74.981 55.96813
Peru 2013 1.4463 75.258 55.25029
Peru 2014 1.6428 75.529 55.31221
Peru 2015 1.6103 75.792 55.0774
Peru 2016 1.7047 76.044 55.01902
Peru 2017 1.7085 76.286 54.84946
Peru 2018 1.7084 76.516 54.68446
Peru 2019 1.6911 76.736 54.50513
Russia 2000 10.0493 65.48366 76.63478
Russia 2001 10.3387 65.38341 77.1949
186
Country Year CO2 LE CIWB
Russia 2002 10.2998 65.12878 77.43698
Russia 2003 10.5497 65.0478 77.91756
Russia 2004 10.6239 65.47098 77.52727
Russia 2005 10.7717 65.52976 77.68327
Russia 2006 11.203 66.72756 76.93517
Russia 2007 11.1998 67.58683 75.95231
Russia 2008 11.4271 67.94927 75.8817
Russia 2009 10.6676 68.68463 73.9635
Russia 2010 11.2428 68.84122 74.63081
Russia 2011 11.5878 69.6839 74.2234
Russia 2012 11.6679 70.0722 73.92641
Russia 2013 11.2206 70.57878 72.76204
Russia 2014 11.2162 70.74366 72.58624
Russia 2015 11.1949 71.18341 72.10789
Russia 2016 11.1416 71.65122 71.56272
Russia 2017 11.3135 72.43195 71.02868
Russia 2018 11.6078 72.65732 71.21342
Russia 2019 11.5132 72.584 71.15502
South Africa 2000 8.4117 56.048 86.61444
South Africa 2001 8.1524 55.089 87.65155
South Africa 2002 7.7216 54.31 88.11556
South Africa 2003 8.6511 53.749 90.76459
South Africa 2004 9.4959 53.444 92.8633
South Africa 2005 8.6867 53.447 91.34406
South Africa 2006 9.2107 53.795 91.72722
South Africa 2007 9.4626 54.452 91.08308
South Africa 2008 9.9367 55.36 90.44556
South Africa 2009 9.9503 56.46 88.70751
South Africa 2010 9.1167 57.669 85.40231
South Africa 2011 9.1137 58.895 83.61942
South Africa 2012 8.7283 60.06 81.35574
South Africa 2013 8.4912 61.099 79.58422
South Africa 2014 8.8117 61.968 78.98538
South Africa 2015 8.1351 62.649 77.04682
South Africa 2016 8.2688 63.153 76.64364
South Africa 2017 8.1424 63.538 75.9803
South Africa 2018 8.0321 63.857 75.428
South Africa 2019 8.1273 64.131 75.25418
Thailand 2000 2.6814 70.623 60.62524
Thailand 2001 2.844 70.832 60.67591
Thailand 2002 2.9782 71.089 60.64533
187
Country Year CO2 LE CIWB
Thailand 2003 3.1292 71.389 60.602
Thailand 2004 3.3413 71.728 60.61128
Thailand 2005 3.4088 72.099 60.39302
Thailand 2006 3.439 72.499 60.10146
Thailand 2007 3.4663 72.916 59.79519
Thailand 2008 3.41 73.341 59.37192
Thailand 2009 3.6232 73.766 59.31887
Thailand 2010 3.8009 74.184 59.22417
Thailand 2011 3.7562 74.593 58.83952
Thailand 2012 3.9841 74.992 58.83036
Thailand 2013 4.2204 75.378 58.84258
Thailand 2014 4.1299 75.747 58.43645
Thailand 2015 4.1576 76.091 58.20867
Thailand 2016 4.1095 76.403 57.90801
Thailand 2017 4.1318 76.683 57.72565
Thailand 2018 3.9779 76.931 57.33951
Thailand 2019 3.9012 77.15 57.07733
Turkey 2000 3.6336 70.005 62.52062
Turkey 2001 3.3257 70.56 61.59249
Turkey 2002 3.3921 71.078 61.23704
Turkey 2003 3.5782 71.559 61.08548
Turkey 2004 3.6481 72.004 60.80504
Turkey 2005 3.8908 72.424 60.78753
Turkey 2006 4.0963 72.83 60.73083
Turkey 2007 4.4945 73.235 60.9387
Turkey 2008 4.3926 73.649 60.45779
Turkey 2009 4.4217 74.074 60.1502
Turkey 2010 4.3466 74.507 59.69984
Turkey 2011 4.6224 74.944 59.71974
Turkey 2012 4.7376 75.373 59.53267
Turkey 2013 4.5468 75.784 58.95804
Turkey 2014 4.6831 76.172 58.83666
Turkey 2015 4.8559 76.532 58.78568
Turkey 2016 5.0263 76.86 58.75652
Turkey 2017 5.2434 77.161 58.80867
Turkey 2018 5.094 77.437 58.40614
Turkey 2019 4.7866 77.691 57.81952
Ukraine 2000 5.8425 67.258 68.35835
Ukraine 2001 6.2717 67.267 68.98726
Ukraine 2002 6.1624 67.288 68.80329
Ukraine 2003 6.4523 67.317 69.2043
188
Country Year CO2 LE CIWB
Ukraine 2004 6.573 67.361 69.33828
Ukraine 2005 6.6776 67.451 69.40084
Ukraine 2006 7.1377 67.625 69.90264
Ukraine 2007 7.2545 67.909 69.7823
Ukraine 2008 7.0525 68.306 69.08099
Ukraine 2009 6.0319 68.802 67.09959
Ukraine 2010 6.422 69.361 67.12124
Ukraine 2011 6.7504 69.932 67.04278
Ukraine 2012 6.6876 70.464 66.44749
Ukraine 2013 6.5637 70.918 65.8474
Ukraine 2014 5.7083 71.276 64.31654
Ukraine 2015 4.9825 71.535 63.06907
Ukraine 2016 5.2334 71.711 63.26416
Ukraine 2017 5.0145 71.84 62.84585
Ukraine 2018 5.2441 71.953 63.06625
Ukraine 2019 5.0594 72.065 62.71194
Uzbekistan 2000 4.8847 67.156 67.03595
Uzbekistan 2001 4.8823 67.374 66.81548
Uzbekistan 2002 5.0143 67.613 66.77453
Uzbekistan 2003 4.8909 67.868 66.34181
Uzbekistan 2004 4.7979 68.135 65.94534
Uzbekistan 2005 4.4111 68.407 65.11769
Uzbekistan 2006 4.4532 68.676 64.92393
Uzbekistan 2007 4.3784 68.939 64.56775
Uzbekistan 2008 4.4536 69.193 64.43941
Uzbekistan 2009 3.7859 69.435 63.2532
Uzbekistan 2010 3.6238 69.672 62.80537
Uzbekistan 2011 3.8894 69.91 62.97148
Uzbekistan 2012 3.9013 70.155 62.76853
Uzbekistan 2013 3.6573 70.41 62.19466
Uzbekistan 2014 3.4494 70.671 61.67078
Uzbekistan 2015 3.2788 70.928 61.2068
Uzbekistan 2016 3.4403 71.171 61.22474
Uzbekistan 2017 3.3528 71.388 60.91606
Uzbekistan 2018 3.5328 71.573 61.0101
Uzbekistan 2019 3.4625 71.725 60.7828
Vietnam 2000 0.6582 73.025 55.86054
Vietnam 2001 0.7388 73.228 55.81575
Vietnam 2002 0.8401 73.438 55.79408
Vietnam 2003 0.924 73.654 55.74437
Vietnam 2004 1.0564 73.875 55.75683
189
Country Year CO2 LE CIWB
Vietnam 2005 1.1296 74.092 55.69233
Vietnam 2006 1.1655 74.295 55.58848
Vietnam 2007 1.1749 74.474 55.46749
Vietnam 2008 1.314 74.625 55.54165
Vietnam 2009 1.4174 74.745 55.59082
Vietnam 2010 1.5754 74.837 55.73361
Vietnam 2011 1.7017 74.904 55.85237
Vietnam 2012 1.5874 74.958 55.65965
Vietnam 2013 1.6443 75.006 55.69989
Vietnam 2014 1.8428 75.056 55.92725
Vietnam 2015 2.0825 75.11 56.20618
Vietnam 2016 2.0586 75.172 56.12803
Vietnam 2017 2.0639 75.241 56.0836
Vietnam 2018 2.3415 75.317 56.39558
Vietnam 2019 2.6986 75.4 56.80711
Iran 2000 5.6253 70.176 65.20642
Iran 2001 5.9408 70.553 65.30517
Iran 2002 5.9096 70.921 64.92232
Iran 2003 6.0723 71.265 64.83724
Iran 2004 6.4095 71.592 65.0121
Iran 2005 6.644 71.917 65.04437
Iran 2006 7.1382 72.257 65.42226
Iran 2007 7.1865 72.626 65.15636
Iran 2008 7.4132 73.027 65.10901
Iran 2009 7.6658 73.457 65.07176
Iran 2010 7.7244 73.905 64.75659
Iran 2011 7.7355 74.352 64.38221
Iran 2012 7.9791 74.776 64.34292
Iran 2013 7.9785 75.162 64.01168
Iran 2014 8.2855 75.502 64.13004
Iran 2015 8.0088 75.796 63.51623
Iran 2016 8.0107 76.047 63.30909
Iran 2017 8.8288 76.271 64.19578
Iran 2018 8.6449 76.479 63.78072
Iran 2019 8.8449 76.677 63.87686
Venezuela 2000 6.2776 72.112 64.36038
Venezuela 2001 6.9777 72.294 65.16676
Venezuela 2002 7.679 72.466 65.97985
Venezuela 2003 7.493 72.618 65.58561
Venezuela 2004 5.8188 72.746 63.16878
Venezuela 2005 6.1978 72.852 63.5971
190
Country Year CO2 LE CIWB
Venezuela 2006 5.965 72.938 63.20294
Venezuela 2007 5.5023 73.01 62.50686
Venezuela 2008 6.104 73.071 63.27813
Venezuela 2009 6.0495 73.116 63.16464
Venezuela 2010 6.4727 73.134 63.72776
Venezuela 2011 6.0906 73.11 63.22604
Venezuela 2012 6.2064 73.037 63.44779
Venezuela 2013 6.965 72.918 64.59168
Venezuela 2014 6.2147 72.762 63.69899
Venezuela 2015 5.9878 72.584 63.5426
Venezuela 2016 5.6774 72.405 63.27099
Venezuela 2017 5.4939 72.246 63.15624
Venezuela 2018 4.1602 72.128 61.41049
Venezuela 2019 3.4779 72.064 60.51823
Phụ lục 2: Thống kê mô tả các biến
191
Phụ lục 3: Kiểm định nghiệm đơn vị các biến
192
193
194
195
196
197
198
Các kiểm định và kết quả hồi quy mô hình (3.1’)
Phụ lục 4 Kiểm định phụ thuộc chéo
Phụ lục 5 Kiểm định phương sai thay đổi
Phụ lục 6 Kiểm định tự tương quan
199
Phụ lục 7a Kiểm định nội sinh
200
Phụ lục 7b Kiểm định nội sinh
201
Phụ lục 7c Kiểm định nội sinh
Phụ lục 8 Kiểm định đa cộng tuyến
202
Phụ lục 9 Kết quả hồi quy mô hình (3.1’)
203
Các kiểm định và kết quả hồi quy mô hình (3.2b)
Phụ lục10 Kiểm định phụ thuộc chéo
Phụ lục 11 Kiểm định phương sai thay đổi
Phụ lục 12 Kiểm định tự tương quan
204
Phụ lục 13 Kiểm định đa cộng tuyến
205
Phụ lục 14. Kiểm định các cặp hệ số tương quan
206
Phụ lục 15 Kết quả hồi quy mô hình (3.2b)
Các kiểm định và kết quả hồi quy mô hình (3.3b)
Phụ lục 16 Kiểm định phụ thuộc chéo
207
Phụ lục 17 Kiểm định phương sai thay đổi
Phụ lục 18 Kiểm định tự tương quan
Phụ lục 19 Kiểm định đa cộng tuyến
208
Phụ lục 20 Kết quả hồi quy mô hình (3.3b)