This paper briefly introduces the total factor productivity (TFP) and then analyzes A-share listed companies between 2017 and 2022. The regression analysis method is used to study the investor factor and TFP. The results showed that investor research behavior, shareholding ratio, grouping behavior, and digital technology level were significantly positively correlated with TFP.
YangQWangJLiuX. The spatial differentiation of agricultural green total factor productivity and its driving factor recognition in China. J Quantit Techn Econ2019; 36(10): 21–37.
2.
CuiSNWangYQZhuZW. The evolutionary characteristics and influencing factors of total carbon productivity: evidence from China. Environ Sci Pollut R2023; 30(6): 15951–15963.
3.
LiNLiRLYuSS. Managerial myopia and enterprise green total factor productivity: perspectives on the supervisory effect and incentive effect. Sustainability2024; 16(16): 7144.
4.
ZuoYX. Study on the difference of production and scale of agricultural total factor productivity based on TFP index. Ekoloji2019; 28(107): 3729–3734.
5.
WangLSunXJiaW. Regional comparison and driving factors of total factor productivity of agriculture enterprises in China: based on 1 126 state-level agricultural leading enterprises. J China Agric Univ2020; 25(8): 204–214.
6.
LiJLiuAF. Impact of urbanization on total factor carbon productivity in Central Asia. Sustainability2022; 14(22): 1–20.
7.
QuXZhaoZ. Research on characteristic factors and multiple promotion paths of China’s industrial green total factor productivity based on fsQCA. Oper Res Manag Sci2022; 31(6): 154–160.
8.
WuYQLiJMaJC. The effect of innovation investment on environmental total factor productivity. Math Probl Eng2022; 30: 1–3.
9.
ZhanXGLiRYMLiaoWYY. Fiscal decentralisation and green total factor productivity in China: SBM-GML and IV model approaches. 2022; 28: 10.
10.
XuXFCuiYJZhongYD. Impact of environmental regulation and FDI on green total factor productivity: evidence from China. Environ Eng Manag. J2021; 20(2): 177–184.
11.
ZhaoCY. Is low-carbon energy technology a catalyst for driving green total factor productivity development? the case of China. J Clean Prod2023; 20: 1–11.
12.
WangLHWangHWangSX. Can industrial intellectualization reduce carbon emissions? - empirical evidence from the perspective of carbon total factor productivity in China. Technol Forecast Soc Change2022; 184: 121969.
13.
LiLBaoYLiuJ. Research on the influence of intelligentization on total factor productivity of China’s manufacturing industry. Stud Sci Sci2020; 38(4): 609–618.
14.
YangHLiLLiuJ. Industrial agglomeration and total factor productivity of cities in China. Sci Res Manag2018; 39(1): 83–94.
15.
LiangYNZhangC. Digital transformation and total factor productivity of enterprises: evidence from China. Econ Change Restruct2024; 57(1): 7.
16.
ZhangHZhangQW. How does digital transformation facilitate enterprise total factor productivity? the multiple mediators of supplier concentration and customer concentration. Sustainability2023; 15(3): 1–18.
17.
GüranMCAyranciE. Efficiency changes in higher education in OECD countries: implementation of Malmquist total factor productivity index for 2000 and 2012 Period. Sosyo ekonomi2019; 27(41): 71–88.
18.
ZhangSJZhangMMengSW. Corporate transaction costs and corporate green total factor productivity. Finance Res Lett2024; 61(372): 105041.
19.
LiDZengGChenC. Measuring the total factor productivity of Vitus in China and studying its influence factors the empirical analysis based on the Malmquist-Tobit method. J Sichuan Agric Univ2018; 36(1): 118–124.
20.
WangFWDuLTianMH. Does agricultural credit input promote agricultural green total factor productivity? evidence from spatial panel data of 30 provinces in China. Int J Environ Res Publ Health2023; 20(1): 529.
