Open Access
Issue
BIO Web Conf.
Volume 82, 2024
International Scientific and Practical Conference “Methods for Synthesis of New Biologically Active Substances and Their Application in Various Industries of the World Economy – 2023” (MSNBAS2023)
Article Number 06002
Number of page(s) 13
Section Environmental Assessment of Synthesis Technologies and Impact on the Environment
DOI https://doi.org/10.1051/bioconf/20248206002
Published online 03 January 2024
  • J.H. Spangenberg. Biodiversity pressure and the driving forces behind. Ecological economics. 61(1), 146-158(2007). doi: 10.1016/j.ecolecon.2006.02.021 [CrossRef] [Google Scholar]
  • Downie, and M. Williams. After the Paris agreement: what role for the BRICS in global climate governance? Global Policy, 2018. 9(3), 398-407. doi: 10.1111/1758-5899.12550 [CrossRef] [Google Scholar]
  • M. Z. Rafique, Y. Li, A.R. Larik and M. P. Monaheng. The effects of FDI, technological innovation, and financial development on CO2 emissions: evidence from the BRICS countries. Environmental Science and Pollution Research. 27(19), 23899-23913(2020). doi: 10.1007/s11356-020-08715-2 [CrossRef] [PubMed] [Google Scholar]
  • Z. Kiliçarslan and Y. Dumrul. The Relationship Between Financial Development and Foreign Direct Investment: Evidence from Turkey. Retrospect & Prospect. P87. (2019). [Google Scholar]
  • Abid, U. Mehmood, S. Tariq and Z. U. Haq. The effect of technological innovation, FDI, and financial development on CO2 emission: evidence from the G8 countries. Environmental Science and Pollution Research. 29(8), 11654–11662(2021). doi: 10.1007/s11356-021-15993-x [Google Scholar]
  • Do, T. V. Trang and H. L. Dinh. Short-and Long-Term Effects of GDP, Energy Consumption, FDI, and Trade Openness on CO2 Emissions. Accounting, 6(3), 365-372(2020). doi: 10.5267/j.ac.2020.1.002. [CrossRef] [Google Scholar]
  • S. Naz, R. Sultan, K. Zaman, A. M. Aldakhil, A. A. Nassani and M. M. Q. Abro. Moderating and mediating role of renewable energy consumption, FDI inflows, and economic growth on carbon dioxide emissions: evidence from robust least square estimator. Environmental Science and Pollution Research. 26(3), 2806-2819(2019). doi: 10.1007/s11356-018-3837-6 [CrossRef] [PubMed] [Google Scholar]
  • L. Gule. The effects of FDI and economic growth on CO2 emissions in SADC. PEOPLE: International Journal of Social Sciences. 7(1), 75-87(2021). doi: 10.20319/pijss.2021.71.7587 [CrossRef] [Google Scholar]
  • S. K. Panigrahi, N. A. B. Binti Azizan and S. Kumaraswamy. Investigating dynamic effect of energy consumption, foreign direct investments and economic growth on CO2 emissions between Oman and United Arab Emirates: evidence from co integration and Causality Tests. International Journal of Energy Economics and Policy. 10(6), 288-298(2020). doi: 10.32479/ijeep.10026 [CrossRef] [Google Scholar]
  • S. Yuldoshboy, M. Karimov and J. Kuralbaev. The association between co_2 and economic growth in central asian countries: panel data approach. Journal of Positive School Psychology. 5587-5601(2022). [Google Scholar]
  • E. W. Frees. Assessing cross-sectional correlation in panel data. Journal of Econometrics. 69(2), 393-414(1995). doi: 10.1016/0304-4076(94)01658-m [CrossRef] [Google Scholar]
  • K. S. Im, M. H. Pesaran and Y. Shin. Testing for Unit Roots in Heterogeneous Panels. Journal of Econometrics 115. 53-74(2003). doi: 10.1016/s0304-4076(03)00092-7 [CrossRef] [Google Scholar]
  • H. H. Pesaran and Y. Shin. Generalized impulse response analysis in linear multivariate models. Economics letters. 58(1), 17-29(1998). doi: 10.1016/s0165-1765(97)00214-0 [CrossRef] [Google Scholar]
  • M. H. Pesaran and R. Smith. Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics. 68(1), 79-113(1995). doi: 10.1016/0304-4076(94)01644-f [CrossRef] [Google Scholar]
  • M. A. H. Jafri, S. Abbas, S. M. Y. Abbas and S. Ullah. Caring for the environment: measuring the dynamic impact of remittances and FDI on CO2 emissions in China. Environmental Science and Pollution Research. 29(6), 9164-9172(2022). doi: 10.1007/s11356-021-16180-8 [CrossRef] [PubMed] [Google Scholar]
  • J. Z. Teng, M. K. Khan, M. I. Khan, M. Z. Chishti and M. O. Khan. Effect of foreign direct investment on CO2 emission with the role of globalization, institutional quality with pooled mean group panel ARDL. Environmental Science and Pollution Research. 28(5), 5271-5282(2021). doi: 10.1007/s11356-020-10823-y [CrossRef] [PubMed] [Google Scholar]
  • M. Rahaman, M. Hossain and S. Chen. The impact of foreign direct investment, tourism, electricity consumption, and economic development on CO2 emissions in Bangladesh. Environmental Science and Pollution Research. 29(25), 37344-37358(2022). doi: 10.1007/s11356-021-18061-6 [CrossRef] [PubMed] [Google Scholar]
  • H. Khan, L. Weili, I. Khan and S. Khamphengxay. Renewable energy consumption, trade openness, and environmental degradation: a panel data analysis of developing and developed countries. Mathematical Problems in Engineering. Art. 6691046. 1-13(2021). doi: 10.1155/2021/6691046 [Google Scholar]
  • Q. Wang and L. Wang. How does trade openness impact carbon intensity? Journal of cleaner production. 295, 126370. (2021). doi: 10.1016/j.jclepro.2021.126370 [CrossRef] [Google Scholar]
  • J. Namahoro, Q. Wu, N. Zhou, and S. Xue. Impact of energy intensity, renewable energy, and economic growth on CO2 emissions: Evidence from Africa across regions and income levels. Renewable and Sustainable Energy Reviews. 147, 111233. (2021). doi: 10.1016/j.rser.2021.111233 [CrossRef] [Google Scholar]
  • M. W. Zafar, M. M. Saleem, M. A. Destek and A. E. Caglar. The dynamic linkage between remittances, export diversification, education, renewable energy consumption, economic growth, and CO2 emissions in top remittance‐receiving countries. Sustainable Development. 30(1), 165-175(2022). doi: 10.1002/sd.2236 [CrossRef] [Google Scholar]
  • A. Sharif, M. Bhattacharya, S. Afshan and M. Shahbaz. Disaggregated renewable energy sources in mitigating CO2 emissions: new evidence from the USA using quantile regressions. Environmental Science and Pollution Research. 28(41), 57582-57601(2021). doi: 10.1007/s11356-021-13829-2 [CrossRef] [PubMed] [Google Scholar]
  • O. Saidmamatov, N. Tetreault, D. Bekjanov, E. Khodjaniyazov, E. Ibadullaev, Y. Sobirov, LR. Adrianto. The Nexus between Agriculture, Water, Energy and Environmental Degradation in Central Asia—Empirical Evidence Using Panel Data Models. Energies. 2023. 16(7), 3206. doi: 10.3390/en16073206 [CrossRef] [Google Scholar]
  • A. Altarhouni, D. Danju, and A. Samour. Insurance Market Development, Energy Consumption, and Turkey’s CO2 Emissions. New Perspectives from a Bootstrap ARDL Test. Energies, 2021. 14(23), 7830. doi: 10.3390/en14237830 [Google Scholar]
  • K. Hu, C. Raghutla, K. R. Chittedi, R. Zhang, and M. A. Koondhar. The effect of energy resources on economic growth and carbon emissions: A way forward to carbon neutrality in an emerging economy. Journal of Environmental Management. 298, 113448 (2021). doi: 10.1016/j.jenvman.2021.113448 [CrossRef] [Google Scholar]
  • I.A. Filipova, Creating the metaverse: consequences for economy, society, and law. Journal of Digital Technologies and Law, 1(1), 7-32 (2023). doi: 10.21202/jdtl.2023.1 [CrossRef] [Google Scholar]
  • T.V. Luzina, E.A. Dudareva, N.A. Prodanova, G.E. Emaletdinova. International legal format for trans regionalisation of trade and economic partnership within BRICS in global development. Space and Culture, India, 7(3), 76-85 (2019). doi:10.20896/saci.v7i3.508 [CrossRef] [Google Scholar]
  • V.V. Yankovskaya, Y.S. Berdova. The international and legal framework for transregionalization of trade and economic cooperation of the BRICS countries. European Research Studies Journal, 21(Special Issue 3), 166-176 (2018). doi:10.35808/ersj/1370 [Google Scholar]
  • Z.I. Khisamova, I.R. Begishev, Implications of Increased Data Collection. The Platform Economy: Designing a Supranational Legal Framework, 419-433(2022). [Google Scholar]
  • O.N. Korableva, N. Gorelov, O. Kalimullina. Contemporary issues of intellectual capital: Bibliographic analysis. Lecture Notes in Mechanical Engineering, 13th World Congress on Engineering Asset Management, WCEAM 2018, 457-464 (2020). doi:10.1007/978-3-030-48021-9_51 [Google Scholar]
  • M.V. Rajesh, T.A. Acharya, H.Hajiyev, E.L. Lydia, H.M. Alshahrani, M.K Nour. Blockchain Driven Metaheuristic Route Planning in Secure Wireless Sensor Networks. Computers, Materials and Continua, 74(1), 933-949 (2023). doi:10.32604/cmc.2023.032549 [CrossRef] [Google Scholar]
  • N. Zavyalova. BRICS soft power promotion: Dataset for media preference and use pattern among the russian audience who follow the development of BRICS. Data in Brief, 16, 939-946 (2018). doi:10.1016/j.dib.2017.12.004 [CrossRef] [Google Scholar]
  • M.K. Barcho, O.V. Otto, H.A. Hajiyev, V.O. Samusenkov, L.N. Korshunova, N.O. Vikhrova, N.N. Nikulin. Basic directions for forming perspective forms of agricultural integration. Entrepreneurship and Sustainability Issues, 8(1), 960-971 (2020). doi:10.9770/jesi.2020.8.1(64) [CrossRef] [Google Scholar]
  • E.A. Osadchy, S.Y. Bakhvalov, O.N. Ustyuzhina. Regional social and economic concern of supply chain sustainability in Republic of Tatarstan. International Journal of Supply Chain Management, 9(3), 558-561 (2020). [Google Scholar]
  • S. A. Minich, Improving the System of Mandatory Requirements to Business under the Digital Transformation of Economy. Journal of Digital Technologies and Law, 1(3), 775-802 (2023). doi:10.21202/jdtl.2023.34 [CrossRef] [Google Scholar]
  • I.B. Movchan, V. Frid, A. B. Movchan, Z. I. Shaygallyamova. Modelling of seismic assessment for large geological systems. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2231), 20210393 (2022). doi:10.1098/rsta.2021.0393 [CrossRef] [PubMed] [Google Scholar]
  • Z.I. Shaygallyamova, A.A. Yakovleva. Identification of structural control factors of primary gold ore occurrences by method of unmanned aeromagnetic survey by the example of the neryungrisky district of yakutia. Journal of Mining Institute, 254, 217-223 (2022). doi:10.31897/PMI.2022.23 [Google Scholar]
  • O.Y. Voronkova, T.V. Volokhova, E.S. Lebedeva, A.V. Smirnova, A.A. Tubalets. Priorities for the development of medicinal plant growing in a post-pandemic environment. Siberian Journal of Life Sciences and Agriculture, 14(1), 436-451 (2022). doi:10.12731/2658-6649-2022-14-1-436-451 [CrossRef] [Google Scholar]
  • S.Yu. Bakhvalov, S.V. Kas’yanov. Indicator ‘expenditures’ as a tool of efficient intra-firm management. Avtomobil’naya Promyshlennost, (6), 1-4 (2003). [Google Scholar]
  • S.V. Khusainova. A regional system to forecast the social-economic development: The case of the RF regions. European Research Studies Journal, 21(1), 588-601 (2018). [Google Scholar]
  • A.V. Vasilevskii. Legal Regulation of Relations in the Sphere of Crowdfunding in the Republic of Belarus. Journal of Digital Technologies and Law, 1(1), 191-234 (2023). doi:10.21202/jdtl.2023.8 [CrossRef] [Google Scholar]
  • N. Apergis, B. Kuziboev, I. Abdullaev, A. Rajabov. Investigating the association among CO2 emissions, renewable and non-renewable energy consumption in uzbekistan: An ARDL approach. Environmental Science and Pollution Research, 30(14), 39666-39679 (2023). doi:10.1007/s11356-022-25023-z [CrossRef] [Google Scholar]
  • E. Kirillova, I. Otcheskiy, S. Ivanova, A. Verkhovod, D. Stepanova, R. Karlibaeva, V. Sekerin. Developing Methods for Assessing the Introduction of Smart Technologies into the Socio-Economic Sphere Within the Framework of Open Innovation. International Journal of Sustainable Development and Planning, 18(3), 693-702 (2023). doi: 10.18280/ijsdp.180305 [CrossRef] [Google Scholar]
  • B. Kuziboev, P Vysusilova, R. Salahodjaev, A. Rajabov, T. Rakhimov. The Volatility Assessment of CO2 Emissions in Uzbekistan: ARCH/GARCH Models. International Journal of Energy Economics and Policy, 13(5), 1-7 (2023). doi: 10.32479/ijeep.14487 [CrossRef] [Google Scholar]
  • I. S. Abdullaev, and K. I. Khamraev, Modeling factors affecting net assets of investment funds using autoregressive distributed lag (ARDL) model. Journal of Critical Reviews, 7(12), 987-990 (2020). doi:10.31838/jcr.07.12.174 [Google Scholar]
  • E. Kot, T. Kruzhkova, O. Rushitskaya, A. Ruchkin, V. Kukhar. The problem of improving the competitiveness of enterprises in the system of socio-economic relations. IOP Conference Series: Earth and Environmental Science, 699(1), 012058 (2021). [CrossRef] [Google Scholar]

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