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number of surveys that had used the bank's consumer credit service was quite small,
                  only 30 surveys (accounting for 18.2%), mainly civil servants, public employees, and

                  business employees; when asked about their understanding of green credit, the number
                  of surveys that had an understanding of green credit was quite small, only 49 surveys
                  (accounting  for  29.7%),  led  by  business  employees,  followed  by  civil  servants  and
                  public employees; when asked about whether or not consumers would use the bank's
                  consumer credit service to purchase green industrial products, the number of surveys
                  that  agreed  to  use  the  bank's  consumer  credit  service  to  purchase  green  industrial
                  products was still quite small, 43 surveys (accounting for 26%), mainly civil servants,
                  public employees, and business employees. The results allow the authors to make a

                  conclusion. There is still a large group of customers who are knowledgeable and want
                  to consume green industrial products (according to survey results from questions II.1 to
                  II.8) but their careers may not be clearly defined, their income is not necessarily stable,
                  so they have not researched and will not use green credit to purchase and consume green
                  industrial products.
                        To achieve the goal of the article, which is to propose some recommendations for

                  developing green credit for individual customers consuming green industrial products
                  at  Vietnamese  commercial  banks,  the  authors  will  continue  to  test  the  reliability  of
                  Cronbach's Alpha for the scales from question II.10 to question II.15 to determine the
                  ability of consumers to use green credit to purchase and use green industrial products.
                  The  reliability  coefficient  of  Cronbach's  Alpha  will  indicate  whether  the  survey
                  information  (scales)  are  linked  together  or  not.  The  authors  obtained  the  following
                  results:

                                Table 7. Results of Cronbach's Alpha reliability coefficient test 1


















                        According to statistical scientists (Nunally Bumstein 1994, Nguyen Dinh Tho and

                  Nguyen Thi Mai Trang 2009), the criteria used when assessing the reliability of a scale
                  are to eliminate scales with an Item-rest correlation coefficient of less than 0.3 and Test
                  scale alpha coefficient must be greater than 0.6. According to Table 6, scales
                  II.11 and II.14 have an Item-rest correlation coefficient of less than 0.3, so the group of
                  authors  will  eliminate  them  to  continue  testing  the  Cronbach's  Alpha  reliability
                  coefficient for the second time. The group of authors obtained the following results:







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