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Tytuł artykułu

The interaction and coupling between enterprise value evaluation and regional ecological environment

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The development of industrial Internet technology enterprises plays an important supporting role in green water and green mountains, as a forestry industry with both economic value and ecological value. at present, it is facing a good opportunity for development. However, industrial Internet technology enterprises are faced with many risks, such as long investment cycle, low comparative income, and their ecological value is easy to be ignored. Based on FCFF model and LINEST function, this paper studies the enterprise value evaluation and ecological development. The main conclusions are as follows: (1) the economic value of industrial Internet technology enterprises is greatly affected by non-financial factors; (2) the excess income of industrial Internet technology enterprises is affected by ecological improvement. (3) under the background of green finance, the comprehensive operation ability of enterprises can be effectively improved through internal control of enterprises, formulation of government laws and supervision of social enterprises. This study has important theoretical and practical significance for China to scientifically and reasonably evaluate the value of industrial Internet technology enterprises.
Rocznik
Strony
125--132
Opis fizyczny
Bibliogr. 17 poz., tab.
Twórcy
autor
  • School of Economics and Management, Heilongjiang Bayi Agricultural University, Daqing, 163319, China
autor
  • School of Economics and Management, Heilongjiang Bayi Agricultural University, Daqing, 163319, China
autor
  • Wuhan University of Technology, School of Management, Wuhan 430070, China
Bibliografia
  • [1] Zhou X, Cai Z, Tan KH. Technological innovation and structural change for economic development in China as an emerging market. Technol Forecasting Social Change. 2021;167:120671. DOI: 10.1016/j.techfore.2021.120671.
  • [2] Chen H, Qi S, Tan X. Decomposition and prediction of China’s carbon emission intensity towards carbon neutrality: From perspectives of national, regional and sectoral level. Sci Total Environ. 2022;825:153839. DOI: 10.1016/j.scitotenv.2022.153839.
  • [3] Shi L, Han L, Yang F. The evolution of sustainable development theory: Types, goals, and research prospects. Sustainability. 2019;11(24):7158. DOI: 10.3390/su11247158.
  • [4] Wu CH, Tsai SB, Liu W, Shao XF, Sun R, Wacławek M. Eco-technology and eco-innovation for green sustainable growth. Ecol Chem Eng S. 2021;28(1):7-10. DOI: 10.2478/eces-2021-0001.
  • [5] Wu CH. An empirical study on discussion and evaluation of green university. Ecol Chem Eng S. 2021;28(1):75-87. DOI: 10.2478/eces-2021-0007.
  • [6] Karnouskos S. Smart houses in the smart grid and the search for value-added services in the cloud of things era. 2013 IEEE Int Conf Industrial Technol (ICIT). IEEE. 2013:2016-21. DOI: 10.1109/icit.2013.6505988.
  • [7] Williams SP, Hausmann V, Hardy CA. Managing enterprise information: meeting performance and conformance objectives in a changing information environment. Int J Information Systems Project Manage. 2014;2(4):5-36. DOI: 10.12821/ijispm020401.
  • [8] Bellacosa M. The fight against corruption in commercial enterprises: A comparative overview in light of the Italian experience. Corruption in Commercial Enterprise. 2018:215-33. DOI: 10.4324/9781315105796-13.
  • [9] Shashkova A, Verlaine M. Change of tax policy model as a base for innovation development while transferring from the pre-industrial to the industrial society. Chapter in: Kovalchuk J, editor. Post-Industrial Society. Cham: Palgrave Macmillan; 2020:137-47. DOI: 10.1007/978-3-030-59739-9_12.
  • [10] Dong YQ. Enterprise value evaluation based on FCFF model - a case analysis of beixinyuan company. Proc 2nd Int Conf Economics Manage, Education, Humanities Social Sci (EMEHSS 2018). 2018;3:615-20. DOI: 10.2991/emehss-18.2018.124.
  • [11] Yuan MZ, Pan AL. A practical corporate valuation model: model construction and empirical evidence. Economic Survey. 2016;33(01):96-100. DOI: 10.15931/j.cnki.1006-1096.2016.01.017.
  • [12] Kumar R. Wealth creation - analysis of Google - Sciencedirect. Strategic Financial Management Casebook 2017:199-224. DOI: 10.1016/b978-0-12-805475-8.00007-0.
  • [13] Dohmeyer B, Butler P, Burkert R. The implied private company pricing line: Empirically observing the cost of capital COC = FCFF/P + G. Business Valuation Review. 2012;31(1):35-47. DOI: 10.5791/bvr-d-12-00006r1.1.
  • [14] Arjun NN, Prema V, Kumar DK. Multivariate regression models for prediction of wind speed[C]//2014. Int Conf Data Sci Eng (ICDSE). IEEE, 2014:171-6. DOI: 10.1109/icdse.2014.6974632.
  • [15] Li CL, Zhang YN, Gao F. Serum pigment epithelium-derived factor levels are associated with estradiol and decrease after adjusting for alanine minotransferase in Chinese women based on multiple linear regression analysis. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy. 2022;15:2901-9. DOI: 10.2147/DMSO.S378561.
  • [16] Tulcidas A, Nascimento S, Santos B. Statistical methodology for scale-up of an anti-solvent crystallisation process in the pharmaceutical industry. Separation Purification Technol. 2019;213:56-62. DOI: 10.1016/j.seppur.2018.12.019.
  • [17] Yin CY, Goh BM. Thermal degradation of rice husks in air and nitrogen: thermogravimetric and kinetic analyses. Energy Sources, Part A. Recovery, Utilization, Environ Effects. 2011;34(3):246-52. DOI: 10.1080/15567030903586048.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-03947b61-fc77-46c8-a602-850a7c454423
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