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All issues Volume 449 (2023) E3S Web Conf., 449 (2023) 04002 References
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Issue
E3S Web Conf.
Volume 449, 2023
International Scientific and Practical Conference “Priority Directions of Complex Socio-Economic Development of the Region” (PDSED 2023)
Article Number 04002
Number of page(s) 13
Section Efficient Use of Innovation and Investment Potential in Improving the Competitiveness of the Regional Economy
DOI https://doi.org/10.1051/e3sconf/202344904002
Published online 16 November 2023
  1. A. Ahmad, Y. Zhao, M. Shahbaz, S. Bano, Z. Zhang, S. Wang, and Y. Liu. Carbon emissions, energy consumption and economic growth: An aggregate and disaggregate analysis of the Indian economy, Energy Policy, 96, 131–143 (2016) DOI: 10.1016/j.enpol.2016.05.032. [CrossRef] [Google Scholar]
  2. K.H. Ghali and M.I. El-Sakka. Energy use and output growth in Canada: a multivariate cointegration analysis. Energy economics, 26(2), 225–238 (2004) DOI: 10.1016/S0140-9883(03)00056-2. [CrossRef] [Google Scholar]
  3. A. Kasman and Y.S. Duman. 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 (2015) DOI: 10.1016/j.econmod.2014.10.022. [CrossRef] [Google Scholar]
  4. O. Damette and M. Seghir. Energy as a driver of growth in oil exporting countries? Energy Economics. 37, 193–199 (2013). DOI: 10.1016/j.eneco.2012.12.011. [CrossRef] [Google Scholar]
  5. F. Hasanov, J. Mikayilov, C. Bulut, E. Suleymanov, and F. Aliyev. The role of oil prices in exchange rate movements: The CIS oil exporters. Economies, 5(2), 13 (2017). DOI: 10.3390/economies5020013. [CrossRef] [Google Scholar]
  6. M. Shahbaz, S. Khan, and M.I. Tahir. The dynamic links between energy consumption, economic growth, financial development and trade in China: fresh evidence from multivariate framework analysis. Energy economics, 40, 8–21 (2013). DOI: 10.1016/j.eneco.2013.06.006. [CrossRef] [Google Scholar]
  7. B. Ozcan and I. Ozturk. Renewable energy consumption-economic growth nexus in emerging countries: A bootstrap panel causality test. Renewable and Sustainable Energy Reviews, 104, 30–37 (2019). DOI: 10.1016/j.rser.2019.01.020. [CrossRef] [Google Scholar]
  8. S. Ntanos, M. Skordoulis, G. Kyriakopoulos, G. Arabatzis, M. Chalikias, S. Galatsidas, A. Batzios and A. Katsarou. Renewable energy and economic growth: Evidence from European countries. Sustainability, 10(8), 2626 (2018). DOI: 10.3390/su10082626. [CrossRef] [Google Scholar]
  9. A. Syzdykova and G. Azretbergenova. Analysis of the relationship between foreign direct investment and economic growth in Kazakhstan. Bulletin of Kaz NU. Economic Series, 136(2), 72–84 (2021). DOI: 10.26577/be.2021.v136.i2.08. [Google Scholar]
  10. D. Dedeoglu and A. Piskin. A dynamic panel study of energy consumption-economic growth nexus: evidence from the former S oviet U nion countries. OPEC Energy Review. 38(1), 75–106 (2014). DOI: 10.1111/opec.12017. [CrossRef] [Google Scholar]
  11. B. Muhammad. Energy consumption, CO2 emissions and economic growth in developed, emerging and Middle East and North Africa countries. Energy. 179, 232–245 (2019). DOI: 10.1016/j.energy.2019.03.126. [CrossRef] [Google Scholar]
  12. U. Mehmood, S. Tariq, Z. Ul-Haq and M. S. Meo. Does the modifying role of institutional quality remains homogeneous in GDP-CO2 emission nexus? New evidence from ARDL approach. Environmental Science and Pollution Research. 28, 10167–10174 (2021). DOI: 10.1007/s11356-020-11293-y. [Google Scholar]
  13. S.S. Akadiri, T.T. Lasisi, G. Uzuner and A.C. Akadiri. Examining the impact of globalization in the environmental Kuznets curve hypothesis: the case of tourist destination states. Environmental Science and Pollution Research. 26(12), 12605–12615 (2019). DOI: 10.1007/s11356-019-04722-0. [CrossRef] [PubMed] [Google Scholar]
  14. M.C. Marinaş, M. Dinu, A.G. Socol and C. Socol. Renewable energy consumption and economic growth. Causality relationship in Central and Eastern European countries. PloS one. 13(10), e0202951 (2018). DOI: 10.1371/journal.pone.0202951. [CrossRef] [Google Scholar]
  15. N. Apergis and J.E. Payne. Renewable energy consumption and growth in Eurasia. Energy economics. 32(6), 1392–1397 (2010). DOI: 10.1016/j.eneco.2010.06.001. [CrossRef] [Google Scholar]
  16. U. Umurzakov, B. Mirzaev, R. Salahodjaev, A. Isaeva. Energy consumption and economic growth: Evidence from post-communist countries, 670216917 (2020). DOI: 10.32479/ijeep.10003. [Google Scholar]
  17. A. A. Solarin and I. Ozturk. On the causal dynamics between hydroelectricity consumption and economic growth in Latin America countries. Renewable and Sustainable Energy Reviews. 52, 1857–1868 (2015). DOI: 10.1016/j.rser.2015.08.003. [CrossRef] [Google Scholar]
  18. R. Inglesi-Lotz. The impact of renewable energy consumption to economic growth: A panel data application. Energy economics, 53, 58–63 (2016). DOI: 10.1016/j.eneco.2015.01.003. [CrossRef] [Google Scholar]
  19. M. Abdouli and S. Hammami. Exploring links between FDI inflows, energy consumption, and economic growth: further evidence from MENA countries, Journal of economic development. 42(1), 95 (2017). [CrossRef] [Google Scholar]
  20. B. Muhammad and S. Khan. Effect of bilateral FDI, energy consumption, CO2 emission and capital on economic growth of Asia countries. Energy Reports. 5, 1305–1315 (2019). DOI: 10.1016/j.egyr.2019.09.004. [CrossRef] [Google Scholar]
  21. K. Li et al. The link between urbanization, energy consumption, foreign direct investments and CO2 emanations: An empirical evidence from the emerging seven (E7) countries. Energy Exploration & Exploitation. 40(2), 477–500 (2022). DOI: 10.1177/01445987211023854. [CrossRef] [Google Scholar]
  22. M. M. Islam et al. Impact of globalization, foreign direct investment, and energy consumption on CO2 emissions in Bangladesh: Does institutional quality matter? Environmental Science and Pollution Research. 28(35), 48851–48871 (2021). DOI: 10.1007/s11356-021-13441-4. [CrossRef] [PubMed] [Google Scholar]
  23. M. A. Ansari, S. Haider, and N. Khan. Does trade openness affects global carbon dioxide emissions: evidence from the top CO2 emitters. Management of Environmental Quality: An International Journal, 2019. DOI: 10.1108/MEQ-12-2018-0205. [Google Scholar]
  24. 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]
  25. H.H. Pesaran, Y. Shin, and R.P. Smith. Pooled estimation of long-run relationships in dynamic heterogeneous panels. 1997. [Google Scholar]
  26. K.S. Im, H.H. Pesaran, and Y. Shin. Testing for unit roots in heterogeneous panels. Journal of econometrics. 115(1), 53–74 (2003). DOI: 10.1016/S0304-4076(03)00092-7. [CrossRef] [Google Scholar]
  27. G.S. Maddala and S. Wu. A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and statistics. 61(S1), 631–652 (1999). DOI: 10.1111/1468-0084.0610s1631. [CrossRef] [Google Scholar]
  28. 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]
  29. M.H. Pesaran. Time series and panel data econometrics. 2015: Oxford University Press. [CrossRef] [Google Scholar]
  30. O. Saidmamatov, N. Tetreault, D. Bekjanov, E. Khodjaniyazov, E. Ibadullaev, Y. Sobirov, L.R. Adrianto. The Nexus between Agriculture, Water, Energy and Environmental Degradation in Central Asia--Empirical Evidence Using Panel Data Models. Energies. 16(7), 3206 (2023). DOI: 10.3390/en16073206. [CrossRef] [Google Scholar]
  31. E.I. Dumitrescu and C. Hurlin. Testing for Granger non-causality in heterogeneous panels. Economic modelling. 29(4), 1450–1460 (2012). DOI: 10.1016/j.econmod.2012.02.014. [CrossRef] [Google Scholar]
  32. A. Juodis, Y. Karavias, and V. Sarafidis. A homogeneous approach to testing for Granger non-causality in heterogeneous panels. Empirical Economics. 60(1), 93–112 (2021). DOI: 10.1007/s00181-020-01970-9. [CrossRef] [Google Scholar]
  33. A.P. Garnov, V.Y. Garnova, L.V. Shabaltina, I.R. Begishev, L.V. Panferova. New opportunities for the digital economy: The implementation of an effective state innovation policy. Journal of Environmental Treatment Techniques, 8(4), 1321–1325 (2020). [CrossRef] [Google Scholar]
  34. Z.I. Khisamova, I.R. Begishev, Implications of Increased Data Collection. The Platform Economy: Designing a Supranational Legal Framework, 419–433 (2022). [CrossRef] [Google Scholar]
  35. 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]
  36. 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]
  37. 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]
  38. 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]
  39. A. A. Kurilova, H. A. O. Hajiyev, E. I. Abdullina, A. B. Plisova, A. A. Arkhipenko, Production-Distribution Problem Optimization in a Green Closed-Loop Supply Chain. Industrial Engineering and Management Systems, 20(4), 509–521 (2021) DOI: 10.7232/iems.2021.20.4.509. [CrossRef] [Google Scholar]
  40. P. Chetthamrongchai, O.G. Stepanenko, N.R. Saenko, S.Y. Bakhvalov, G. Aglyamova, A.H. Iswanto. A Developed Optimization Model for Mass Production Scheduling Considering the Role of Waste Materials. International Journal of Industrial Engineering and Management, Art. 307, 1–10(2022). DOI: 10.24867/IJIEM-2022-2-307. [Google Scholar]
  41. V.S. Kuhar, Implementation of integrated QMS at the cereals enterprises in northern Kazakhstan. Life Science Journal, 11(spec. issue 5), 21, 111–115 (2014). [Google Scholar]
  42. Z.M. Turdiyeva, V.S. Kukhar, B.S. Korabayev. State regulation of biofuel use in agriculture of the Republic of Kazakhstan. Actual Problems of Economics, 169(7), 106–111 (2015). [Google Scholar]
  43. R.I. Sharafutdinov, A.G. Polyakova, V.O. Gerasimov, R.N. Shpakova, M.V. Mikhailova. Inclusive growth: A dataset on key and institutional foundations for inclusive development of russian regions. Data in Brief, 23, 1–16 (2019). DOI: 10.1016/j.dib.2019.103864. [CrossRef] [PubMed] [Google Scholar]
  44. A.N. Ustyuzhantseva, V.F. Islamutdinov. Methodological tools for assessing the impact of network factors on the economic security of enterprises of the fuel and energy complex in the northern resource-extracting region. Journal of Advanced Research in Dynamical and Control Systems, 12 (7 Special Issue), 1379–1386 (2020). DOI: 10.5373/JARDCS/V12SP7/20202239. [CrossRef] [Google Scholar]
  45. R.I. Sharafutdinov, V.O. Gerasimov, E.M. Akhmetshin, N.A. Zharina, A.V. Kazakov, T.R. Teor. Study of inclusive growth of municipal entities as an example of the republic of tatarstan. Paper presented at the Proceedings of the 31st International Business Information Management Association Conference, IBIMA 2018: Innovation Management and Education Excellence through Vision 2020, 3903–3913 (2018). [Google Scholar]
  46. 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]
  47. A. Mazina, D. Syzdykova, A. Myrzhykbayeva, G. Raikhanova, A. Nurgaliyeva. Impact of Green Fiscal Policy on Investment Efficiency of Renewable Energy Enterprises in Kazakhstan. International Journal of Energy Economics and Policy, 12(5), 491–497 (2022). https://doi.org/10.32479/ijeep.13437 [CrossRef] [Google Scholar]
  48. S. Suwarni, E. Akhmetshin, H. Okagbue, E. Lydia, K. Shankar. Digital economic challenges and economic growth in environmental revolution 4.0. Journal of Environmental Treatment Techniques, 8(1), 546–550 (2020). [Google Scholar]
  49. S. Tynybekov, R. Yerezhepkyzy, A.K. Berdibayeva, A.A. Esekeeva, N.K. Mynbatyrova, E. Akopova. Access to environmental information in legislation of the republic of Kazakhstan, Life Science Journal, 11(spec. issue 5), 231–238 (2014). DOI: 10.7537/marslsj1105s14.45. [Google Scholar]
  50. K. Bagratuni, E. Kashina, E. Kletskova, D. Kapustina, M. Ivashkin, V. Sinyukov, A. Karshalova, H. Hajiyev, E. Hajiyev. Impact of socially responsible business behavior on implementing the principles of sustainable development (experience of large business). International Journal of Sustainable Development and Planning, 18(8), 2481–2488 (2023). DOI: 10.18280/ijsdp.180819. [CrossRef] [Google Scholar]
  51. Zh.A. Nokusheva, E.Ye. Kantarbayeva, M.B. Ormanbetov, B.T. Yermagambet, Z.M. Kassenova, M.K. Kazankapova. Development and Implementation of Effective Schemes for the Use of Mineral Fertilizers in the Forest-Steppe Zone of the North Kazakhstan Region, On Line Journal of Biological Sciences, 23(3), 313–322 (2023). DOI: 10.3844/ojbsci.2023.313.322. [CrossRef] [Google Scholar]
  52. M. Dubovik, S. Dmitriev, A. M. Shaposhnikov, G. Xalmatjanova, Technology for obtaining information on CO2 emissions caused by natural and man-made factors using the ARIMA model, Journal of Theoretical and Applied Information Technology, 101(7), 2586–2602 (2023). [Google Scholar]
  53. 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]
  54. 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]
  55. 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]

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