This study investigates the impact of Total Factor Productivity(TFP) growth in China's high-tech industry on household consumption, examining the distinct roles of labor and capital factor productivity from the perspective of biased technological progress. We innovatively construct a sequential proportional NDDF-Luenberger index. This index not only provides a theoretically consistent measure of TFP but also enables its precise decomposition into labor factor productivity and capital factor productivity, allowing for the quantitative identification of the degree and direction of technological bias. Our analysis yields three key findings. First, China's high-tech industry TFP evolved through a three-phase pattern of "surge–retreat–recovery," characterized by persistent capital-biased technological progress. Second, at the national level, improvements in overall TFP, labor factor productivity, and capital factor productivity all significantly promote household consumption, validating the theoretical pathway where supply-side efficiency gains stimulate demand. Third, significant regional heterogeneity exists: the Eastern region exhibits a "capital-led" growth pattern with weaker consumption effects from labor productivity; the Central and Western regions show "factor synergy," where both productivities contribute to consumption; whereas the Northeastern region suffers from a blocked transmission mechanism, where technological progress fails to significantly boost local consumption due to insufficient integration with the regional economy. By integrating supply-side TFP with demand-side consumption through the lens of biased technological progress, this research provides critical insights for fostering a virtuous cycle between innovation and domestic demand, offering valuable implications for industrial and regional policy design aimed at sustainable and inclusive growth.

The Property Rights Theory states that clearly defined ownership is the premise of efficiency, while ambiguous property rights result in great externalities. We use the establishment of local SASACs as a quasi-natural experiment to investigate how unifying the supervision rights and responsibilities internalizes externalities and enhances SOEs’ innovation. The primary results show that the total innovation outputs and high-quality innovation outputs of SOEs governed by local SASACs (i.e., treatment group) improve after creating SASACs. The mechanism analyses show that both the pyramids level and risk-bearing level of local SOEs increase. In cross-sectional tests, we unravel that the innovation improvement effect is subject to the following five factors, including SASACs’ independence, local government quality, industry competition, SOEs managers’ motivation for promotion, and whether the SOE is in high-tech industry. Our paper provides empirical evidence for evaluating the innovation effect of the establishment of local SASACs with a quasi-natural experiment when the public ownership of SOEs does not change. Chun