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LEV                                 -12.046***                        -0.005***
                                                      (-5.63)                           (-4.44)
                  SIZE                                11.815***                         0.005***
                                                      (221.20)                          (172.97)
                  ROA                                 46.255***                         0.016***
                                                      (4.58)                            (3.21)
                  ROE                                 2.458                             0.004**
                                                      (0.60)                            (1.98)
                  CASH                                1.275                             -0.001
                                                      (0.17)                            (-0.15)
                  Constant          -226.532***       -537.348***       -0.093***       -0.227***
                                    (-167.03)         (-362.33)         (-155.36)       (-308.23)

                  Obs.              1,886             1,886             1,886           1,886
                  Year FE           Yes               Yes               Yes             Yes
                  Pseudo R2         0.149             0.149             12.67            12.66

                     This table examines the effect of public administration conditional on a  firm's
               geographic location. The dependent variable of the regressions alternatively represents
               one   of  two   corporate  technology   investment    measures,   TEC1  and  TEC2.  The
               independent variable is                                            variable in year t. X is a vector of
                                                                     
               control variables, including Size, Leverage, ROA, ROE and Cash. To account for the
               impact of firm location, we introduce the variable Geography, a dummy variable that
               takes the value of one for firms headquartered in the Southeast region of Vietnam and

               zero otherwise. Variable definitions and data sources of these controls are presented in
               Appendix A. The continuous variables are winsorized at the top and bottom 1% of the
               sample  distribution.  Year-fixed  effects  are  included  unless  otherwise  stated.  The
               symbols  ***,  **,  and  *  denote  the  statistical  significance  at  1%,  5%,  and  10%,
               respectively. Obs is the number of observations.
                     4.3.2. Effect of public administration conditional on firm size

                     In Vietnam, particularly among small and medium-sized enterprises (SMEs), there
               is a general lack of awareness regarding their role in the Fourth Industrial Revolution’s
               technology investment. SMEs, accounting for around 97% of the country’s businesses,
               still struggle with technological and innovative capabilities, with a significant portion
               of their machinery being imported and outdated. SMEs’ machinery difficulties present
               a critical challenge for their technology investment efforts. Moreover, limited budgets
               among SMEs result in slow decision-making processes, and most of them face capital

               difficulties,  leading  them  to  view  technology  investment  as  a  prerogative  of  larger
               corporations.
                             118


               118 https://moit.gov.vn/tin-tuc/bo-cong-thuong-voi-doanh-nghiep/dau-tu-vao-khoa-hoc-cong-nghe-vi-sa
               o-dn-con-lung-tung-chan-c.html


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