Open Access
Issue
E3S Web Conf.
Volume 389, 2023
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2023)
Article Number 09024
Number of page(s) 9
Section Environmental Policy and Economics
DOI https://doi.org/10.1051/e3sconf/202338909024
Published online 31 May 2023
  1. Pirogova, O., Gorin, E., Plotnikov, V. The algorithms for the environmental finance based on adjusted present value models. E3S Web of Conferences 91, 08021, (2019). [CrossRef] [EDP Sciences] [Google Scholar]
  2. Plotnikov, V., Pirogova, O. (2018). Key Competencies as an Enterprise Value Management Tool, IBIMA 2018, pp.1716–1721. [Google Scholar]
  3. Yoshida, J. (2020). The economic depreciation of real estate: Cross-sectional variations and their return implications. Pacific-Basin Finance Journal. vol. 61, Article 101290 https://doi.org/10.1016/j.pacfin.2020.101290 [CrossRef] [Google Scholar]
  4. Li, Ya., Zhu, D., Zhao, J., Zheng, X., Zhang, L. (2020) Effect of the housing purchase restriction policy on the Real Estate Market: Evidence from a typical suburb of Beijing, China. Land Use Policy. vol.94. Article 104528. https://doi.org/10.1016/j.landusepol.2020.104528 [Google Scholar]
  5. Skribans, V., Jurušs, M., Demianchuk, M., Maslii, N., Pastory, D. (2020). Real estate announcements monitoring dataset for Latvia 2018. Data in Brief. vol. 28. Article 105064. https://doi.org/10.1016/j.dib.2019.105064 [CrossRef] [Google Scholar]
  6. Pirogova, O., Makarevich, M. (2019). Research of problems of improving the welfare of citizens of the Russian Federation // International Scientific Journal. vol. 3, pp. 14–20. https://doi.org/10.34286/1995-4638-2019-67-3-14-20. [Google Scholar]
  7. Carmichael, B.and Coën, A. Real estate as a common risk factor in the financial sector: International evidence, Finance Research Letters. vol. 32, 101172, (2020) https://doi.org/10.1016/j.frl.2019.04.029 [Google Scholar]
  8. Hasan, M. Corporate life cycle, organizational financial resources and corporate social responsibility. Journal of Contemporary Accounting & Economics, vol. 13. pp.20–36, (2017) https://doi.org/10.1016/j.jcae.2017.01.002 [CrossRef] [Google Scholar]
  9. Kravchenko, O., Leshchenko, M., Marushchak, D., Vdovychenko, Y., Boguslavska, S. (2019). The 8th International Conference on Monitoring, Modeling & Management of Emergent Economy 65, 07004. https://doi.org/10.1051/shsconf/20196507004 [Google Scholar]
  10. Eggert, A., Hogreve, J., Ulaga, W., Muenkhoff, E. (2014). Revenue and profit implications of industrial service strategies. Journal of Service Research 17(1), 23–39. https://doi.org/10.1177/1094670513485823 [Google Scholar]
  11. SHkvarya, L. & Frolova, E.. (2022). Comparative Analysis of Foreign Trade Development in the Digital Segment by World Regions. Economy of Region. 18. 479–493. 10.17059/ekon.reg.2022–2–13. [CrossRef] [Google Scholar]
  12. Ho, Kim & Muhammad, Faishal. (2010). Explaining the macro-economy and retail real estate sector dynamic interaction between prime and suburban retail real estate sectors. Journal of Property Investment & Finance. 28. 77–108. 10.1108/14635781011024845. [CrossRef] [Google Scholar]
  13. Kaiser, Carina & Freybote, Julia. (2021). Is e-commerce an investment risk priced by retail real estate investors? An investigation. Journal of Property Research. 39. 1–18. 10.1080/09599916.2021.1996447. [Google Scholar]
  14. Freybote, Julia & Simon, Lauren & Beitelspacher, Lauren. (2016). Understanding the contribution of curb appeal to retail real estate values. Journal of Property Research. 33. 1–15. 10.1080/09599916.2015.1135978. [CrossRef] [Google Scholar]
  15. Hangebruch, Nina. (2020). The clue is the mix. Multifunctional re-uses in former retail real estate properties. Proceedings of the Institution of Civil Engineers – Urban Design and Planning. 173. 1–33. 10.1680/jurdp.20.00041. [Google Scholar]

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