Showing 61 - 80 results of 185 for search '(( significant investment decrease ) OR ( significant decrease decrease ))~', query time: 0.28s Refine Results
  1. 61

    Heterogeneity test for population structure. by Yunying Cai (20721812)

    Published 2025
    “…Although scientific and technological investment can significantly increase innovation and entrepreneurship vitality, it curtails the development of residents’ leisure consumption potential. …”
  2. 62

    Pearson test. by Yunying Cai (20721812)

    Published 2025
    “…Although scientific and technological investment can significantly increase innovation and entrepreneurship vitality, it curtails the development of residents’ leisure consumption potential. …”
  3. 63

    Description of variables. by Yunying Cai (20721812)

    Published 2025
    “…Although scientific and technological investment can significantly increase innovation and entrepreneurship vitality, it curtails the development of residents’ leisure consumption potential. …”
  4. 64

    Endogeneity test for variable lags. by Yunying Cai (20721812)

    Published 2025
    “…Although scientific and technological investment can significantly increase innovation and entrepreneurship vitality, it curtails the development of residents’ leisure consumption potential. …”
  5. 65

    Descriptive statistics of the main variables. by Yunying Cai (20721812)

    Published 2025
    “…Although scientific and technological investment can significantly increase innovation and entrepreneurship vitality, it curtails the development of residents’ leisure consumption potential. …”
  6. 66

    Regression results of the Callaway method. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  7. 67

    Regression results of crowding out effects. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  8. 68

    Article data. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  9. 69

    Overidentification test results. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  10. 70

    Quantile regression results. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  11. 71

    Instrumental variable regression results. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  12. 72

    Other robust regression results. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  13. 73

    Baseline regression results. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  14. 74

    Results of propensity score matching. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  15. 75

    Parallel trend test. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  16. 76

    Placebo test. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  17. 77

    Descriptive statistics of variables. by Pu Miao (12886949)

    Published 2025
    “…During this lag period, the effect on the number of patent declines by 8.475% to 28.283%, while the impact on the number of citations of patents decreases by 55.696% to 73.214%. (4) The significant promotional effect of science and technology talent policies is most pronounced in non-state-owned enterprises and those with high R&D investment, but such policies do not have a notable impact on state-owned enterprises or those with low R&D investment. …”
  18. 78

    Cross-sectional dependence results. by Ozlem Kutlu Furtuna (20308206)

    Published 2024
    “…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”
  19. 79

    Autocorrelation test results. by Ozlem Kutlu Furtuna (20308206)

    Published 2024
    “…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”
  20. 80

    Pesaran’s CADF test results for Model I. by Ozlem Kutlu Furtuna (20308206)

    Published 2024
    “…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”