Showing posts with label regression analysis.. Show all posts
Showing posts with label regression analysis.. Show all posts

Wednesday, 6 January 2021

Emphasizing the Factors Affecting the Development of Green Banks in Vietnam | Chapter 6 | Insights into Economics and Management Vol. 4

Green banking facilitates sustainable economic growth and stimulates practises that are environmentally friendly. The purpose of this study is to determine the determinants of green banking adoption in Vietnam. Green banks are understood as banks offering services related to environmental obligations, the protection of natural resources and biodiversity, the introduction of community benefit programmes or investment in production loans, green, clean. A survey of officials and workers at commercial banks in Vietnam collected data from the report. The findings of correlation and regression analysis show that the impact of macro variables on the level of green Banking is the best, followed by the financial potential of the bank, the supportive policies of the government, and business organisations' green investment needs. On the other hand, the ability of officials and the knowledge of bank leaders about green banking do not have a major impact on the degree of adoption of green banking in Vietnam. It is therefore necessary to raise business awareness about the environment in Vietnam today.

Author (s) Details

Ngo Anh Phuong
National Institute for Finance, Ministry of Finance, 7 Phan Huy Chu road, Hanoi, Vietnam and VNU University of Economics and Business, Vietnam National University, Hanoi, 144 Xuan Thuy, Cau Giay road, Hanoi, Vietnam.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/348

Wednesday, 30 December 2020

An Advanced Study of Physico-Chemical Characteristics of Surface Water Using Regression Analysis of Cauvery River and Its Tributaries in Tamilnadu, India | Chapter 12 | Current Perspectives on Chemical Sciences Vol. 5

 One of the main rivers in Peninsular India is the Cauvery River. It faces a lot of anthropogenic influences due to its prominence in culture and a dense population along its banks. In this analysis, surface water samples were collected from 50 river stations and their tributaries and analysed in February 2009 and October 2009 for their physicochemical characteristics in order to understand the causes of water contamination and the evolution of water quality. The findings show a considerable difference in the water quality parameters of the river, which was also affected by the water quality of its tributaries. In the flow, which was due to catchment characteristics and point or non-point sources of contamination, seasonal variations were observed. It was found that the Pearson correlation used to assess the correlation between the parameters of water quality was strongly correlated. In order to obtain better information about the quality of surface water, the regression equations built to estimate the parameters responsible for water quality variations are found to be useful for evaluating missing data.

Author(s) Details

Dr. S. Hema

Department of Civil Engineering, Sri Ramakrishna Engineering College, Coimbatore-641022, India.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/354