К проблеме изучения взаимосвязи между экономическим ростом, человеческим капиталом и качеством окружающей среды

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Различные виды антропогенной деятельности, приводящие к выбросу парниковых газов, усугубляют проблемы, связанные с изменением климата. Растущая необходимость смягчения пагубных последствий глобального потепления привлекает внимание к ухудшающему экологию воздействию ископаемого топлива. В нашем эмпирическом исследовании на основе данных за 1990-2019 гг. изучается взаимосвязь между человеческим капиталом Китая (lhc), ростом ВВП (lgdp), энергоемкостью (lei) и ухудшением состояния окружающей среды (lco2). Анализируются макроэкономические данные по Китаю; для анализа коинтеграции используется тест Байера - Ханка, а для анализа причинности - тест Тода -Ямамото. Коинтеграционный анализ показывает, что существует коинтегрированная зависимость между lco2, lhc, lgdo и lei. Согласно результатам FMOLS-анализа, рост энергоемкости, ВВП и уровня человеческого капитала приводит к увеличению выбросов углекислого газа в долгосрочной перспективе. Повышение энергоэффективности благоприятно сказывается на состоянии окружающей среды, а экономический рост и увеличение человеческого капитала оказывают неблагоприятное воздействие на экологическую обстановку. Тест причинности Тода - Ямамото позволил получить результаты, свидетельствующие о наличии причинно-следственных связей между человеческим капиталом и объемом выбросов углерода, а также между человеческим капиталом и энергоемкостью. Более того, было замечено, что первая переменная оказывает однонаправленное влияние на вторую. Также существует однонаправленная причинно-следственная связь всех переменных с объемом выбросов углерода, ростом ВВП и энергоемкости соответственно.

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Экономический рост, человеческий капитал, китай, выбросы co2, коинтеграция байера - ханка

Короткий адрес: https://sciup.org/147242518

IDR: 147242518   |   DOI: 10.15838/esc.2023.5.89.15

Список литературы К проблеме изучения взаимосвязи между экономическим ростом, человеческим капиталом и качеством окружающей среды

  • Ahmed Z., Wang Z. (2019). Investigating the impact of human capital on the ecological footprint in India: An empirical analysis. Environmental Science and Pollution Research, 26, 26782–26796.
  • Aytun C., Akin C. (2016). Relationship between CO2 emissions, energy consumption and education in Turkey: Bootstrap causality analysis. Eurasian Econometrics, Statistics & Emprical Economics Journal, 4, 49–63.
  • Banerjee A., Dolado J., Mestre R. (1998). Error-correction mechanism tests for cointegration in a single-equation framework. Journal of Time Series Analysis, 19(3), 267–283.
  • Bayar Y., Smirnov V., Danilina M., Kabanova N. (2022). Impact of institutions and human capital on CO2 emissions in EU transition economies. Sustainability, 14(1), 353.
  • Bayer C., Hanck C. (2012). Combining non-cointegration tests. Journal of Time Series Analysis, 34(1), 83–95.
  • Becker G.S. (1994). Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education. Third edition. Chicago: University of Chicago Press.
  • Beyene S.D. (2022). Human activities and environmental quality: Evidence beyond the conventional EKC hypothesis. Heliyon, 8(9), e10756.
  • Boswijk H.P. (1994). Testing for an unstable root in conditional and unconditional error correction models. Journal of Econometrics, 63, 37–60.
  • Chen Y., Lee C.-C., Chen M. (2021). Ecological footprint, human capital, and urbanization. Energy & Environment, 33(3), 487–510.
  • Danish H.S.T., Baloch M.A., Mahmood N., Zhang J.W. (2019). Linking economic growth and ecological footprint through human capital and biocapacity. Sustainable Cities and the Society, 47, 101516. https://doi.org/10.1016/j.scs.2019.101516.
  • Dinda S. (2004). Environmental Kuznets Curve hypothesis: A survey. Ecological Economics, 49(4), 431 –455.
  • Engle R.F., Granger C.W.J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276.
  • Feenstra R.C., Inklaar R., Timmer M.P. (2015). The next generation of the Penn World table. American Economic Review, 105(10), 3150–3182.
  • Fisher R. (1932). Statistical Methods for Research Workers. London: Oliver and Boyd.
  • Hao L.-N, Umar M., Khan Z., Ali W. (2021). Green growth and low carbon emission in G7 countries: How critical the network of environmental taxes, renewable energy and human capital is? Science of the Total Environment, 752, 141853.
  • Hassan S.T., Xia E., Khan N.H., Shah S. (2019). Economic growth, natural resources, and ecological footprints: Evidence from Pakistan. Environmental Science and Pollution Research, 26(3), 2929–2938.
  • Hou G. (2022). How to promote the environmental education among young people in China. In: Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022). Available at: https://www.atlantis-press.com/proceedings/icssed-22/125973938 (accessed: August 12, 2023).
  • Iorember P.T., Jelilov G., Usman O. et al. (2021). The influence of renewable energy use, human capital, and trade on environmental quality in South Africa: Multiple structural breaks cointegration approach. Environmental Science and Pollution Research, 28(11), 13162–13174.
  • Johansen S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12, 231–254.
  • Jun Y., Zong-kui Y., Peng-fei S. (2011). Income distribution, human capital and environmental quality: Empirical study in China. Energy Procedia, 5, 1689–1696.
  • 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. (2020). CO2 emissions and sustainable economic development: New evidence on the role of human capital. Sustainable Development, 28(5), 1279–1288.
  • Khan Z., Ali S., Dong K., Li R.Y.M. (2021). How does fiscal decentralization affect CO2 emissions? The roles of institutions and human capital. Energy Economics, 94, 105060.
  • Komen R., Gerking S., Folmer H., (1997). Income and environmental R&D: empirical evidence from OECD countries. Environment and Development Economics, 2(4), 505–515. DOI:10.1017/S1355770X97000272
  • Kozhan R. (2010). Financial Econometrics – with Eviews. Roman Kozhan & Ventus Publishing ApS.
  • Kwiatkowski D., Phillips P.C.B., Schmidt P., Shin Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that the economic time series have a unit root? Journal of Econometrics, 54, 159–178.
  • Lan J., Kakinaka M., Huang X. (2012). Foreign direct investment, human capital and environmental pollution in China. Environ Resour Econ., 51(2), 255–275.
  • Li G., Xi Y., Zhu Z. (2022). The way to sustainability: Education for sustainable development in China. Asia Pacific Education Review, 23(4), 611–624.
  • Li P., Ouyang Y. (2019). The dynamic impacts of financial development and human capital on CO2 emission intensity in China: An ARDL approach. Journal of Business Economics and Management, 20(5), 939–957.
  • Mahmood N., Wang Z., Hassan S.T. (2019). Renewable energy, economic growth, human capital, and CO2 emission: An empirical analysis. Environmental Science and Pollution Research, 26, 20619–20630. DOI: https://doi.org/10.1007/s11356-019-05387-5
  • Pata U.K., Caglar A.E. (2021). Investigating the EKC hypothesis with renewable energy consumption, human capital, globalization and trade openness for China: Evidence from augmented ARDL approach with a structural break. Energy, 216, 119220.
  • Pedroni P. (2001). Fully modified OLS for heterogeneous cointegrated panels. In: Baltagi B.H., Fomby T.B., Carter Hill R. (Eds.). Nonstationary Panels, Panel Cointegration, and Dynamic Panels (Advances in Econometrics, Vol. 15). Bingley: Emerald Group Publishing Limited.
  • Phillips P.C., Hansen B.E. (1990). Statistical inference in instrumental variables regression with I(1) processes. Review of Economic Studies, 57(1), 99–125.
  • Sarkodie S.A., Adams S., Owusu P.A. et al. (2020). Mitigating degradation and emissions in China: The role of environmental sustainability, human capital and renewable energy. Science of the Total Environment, 719, 137530.
  • Shujah-ur-Rahman Chen S., Saud S., Saleem N., Bari M.W. (2019). Nexus between financial development, energy consumption, income level, and ecological footprint in CEE countries: Do human capital and biocapacity matter? Environmental Science and Pollution Research, 26, 31856–31872.
  • Teng B.-S. (2004). The WTO and entry modes in China. Thunderbird International Business Review, 46, 381–400.
  • Toda H.Y., Yamamoto T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225–250.
  • Vandenbussche J., Aghion P., Meghir C. (2006). Growth, distance to frontier and composition of human capital. Journal of Economic Growth, 11 (2), 97–127.
  • Wang A. (2021). Enhancing Sustainability Education in China’s Secondary Schools. Available at: https://news.climate.columbia.edu/2021/05/04/sustainability-education-china/ (accessed: August 12, 2023).
  • Williamson C. (2017). Emission, education, and politics: An empirical study of the carbon dioxide and methane environmental Kuznets curve. The Park Place Economist, 25(1), 21–33.
  • Yao Y., Ivanovski K., Inekwe J., Smyth R. (2020). Human capital and CO2 emissions in the long run. Energy Economics, 91, 104907.
  • Zafar M.W., Zaidi S.A.H., Khan N.R. et al. (2019). The impact of natural resources, human capital, and foreign direct investment on the ecological footprint: The case of the United States. Resources Policy, 63, 101428.
  • Zhang L., Godil D.I., Bibi M. et al. (2021). Caring for the environment: How human capital, natural resources, and economic growth interact with environmental degradation in Pakistan? A dynamic ARDL approach. Science of the Total Environment, 774, 145553.
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