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credit implementation process in Vietnam in recent times. Implementing green credit
                  has become an inevitable trend in the activities of Vietnamese commercial banks in the

                  upcoming period. This has an increasingly strong impact on the operational efficiency
                  of  these  commercial  banks.  Green  credit  will  not  only  affect  the  profitability  of
                  commercial banks but also impact their credit risk and risk management. Therefore,
                  evaluating and determining the impact of green credit on the operational efficiency of
                  commercial banks needs to be carried out.
                        BIDV  is  one  of  the  four  major  state-owned  commercial  joint-stock  banks  in
                  Vietnam.  With  a  65-year  history  of  construction  and  development,  the  Joint  Stock
                  Commercial  Bank  for  Investment  and  Development  of  Vietnam  (BIDV)  has  now

                  become the commercial bank with the largest total assets in Vietnam (over 85 billion
                  USD  as  of  June  30,  2022).  BIDV's  credit  balance  and capital mobilization reached
                  63.7 billion USD and 60.4 billion USD, respectively. BIDV has 1,084 network points,
                  including 189 branches, 895 transaction offices, and a large customer base of nearly 15
                  million customers. Recognizing financial resources from banks as leverage to promote
                  the transition towards a green, circular economy, BIDV has seriously and appropriately

                  implemented tasks and solutions related to green credit and green banking. However,
                  green credit and green banking are new fields in Vietnam, and during implementation,
                  BIDV faces many difficulties and challenges affecting the bank's operational efficiency.
                  Based on the above analysis, this study evaluates the "Impact of green credit on the
                  operational  efficiency  of  Joint  Stock  Commercial  Banks  for  Investment  and
                  Development of Vietnam (BIDV)" which has great practical significance.
                        2. Overview of the impact of green credit on commercial banks

                        Aizawa and Yang (2010) conducted a study on Green Credit, Green Stimulus,
                  Green  Revolution?  China’s  Mobilization  of  Banks  for  Environmental  Cleanup.  The
                  authors examined China's green policies (including green taxes, green production, and
                  green policies related to financial aspects such as green credit, insurance, and securities
                  policies).  Their  research  emphasized  the  importance  of  green  credit  in  addressing
                  China's environmental challenges. Additionally, they pointed out that green credit has

                  the  potential  to  withstand  significant  economic  fluctuations  in  China  following  the
                  global financial crisis. As a result, green credit continues to be one of the policies China
                  employs to address issues related to the environmental and social behaviors of domestic
                  enterprises abroad.
                        Xiaoling Song, Xin Deng, and Ruixue Wu (2019) conducted a comparative study
                  on the impact of green credit on the profitability of commercial banks in China and other
                  countries. The authors focused on 12 domestically listed commercial banks in China and
                  7  international  commercial  banks,  utilizing  the  Generalized  Method  of  Moments

                  (GMM) model to  evaluate the differences in profitability between  these banks. The
                  authors found that the green credit ratio of Chinese commercial banks has an inverse
                  relationship with their profitability.
                        Yin and colleagues (2020) conducted a study on the components of green credit
                  to evaluate their impact on the performance of Chinese banks. The authors identified


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