[Impact Mechanism of New Quality Productivity on Carbon Emissions in the Beijing-Tianjin-Hebei Region].
摘要
The new quality productive forces is an advanced force committed to high-quality development and a significant driving force in achieving the "double carbon goal." To explore the impact of the new quality productive forces on carbon emissions in the Beijing-Tianjin-Hebei Region and enhance the positive effects of region's new quality productive forces on carbon emission levels and efficiency， this study aims to promote high-quality development in the Beijing-Tianjin-Hebei Region. Initially， based on urban panel data from the Beijing-Tianjin-Hebei Region from 2007-2022， in accordance with the industrial structure and current policies of the Beijing-Tianjin-Hebei region， a comprehensive evaluation method is utilized to calculate the index of new quality productive forces in the region， and the data envelopment analysis method is employed to measure the carbon emission efficiency. The development patterns and correlations between these two indices are analyzed across both temporal and spatial dimensions. Subsequently， an econometrics model is applied to examine the impact of new quality productive forces on carbon emissions and emission efficiency， and a mediation effect model is established to assess the mechanisms by which new quality productive forces affect carbon emissions through industrial structure and enhance carbon emission efficiency through technological innovation. The study produced several interesting results： ① The new quality productive forces can significantly reduce carbon emissions and improve carbon emission efficiency in the Beijing-Tianjin-Hebei Region， with results remaining robust after a series of tests， including winsorization test， alteration of control variables， and changes in estimation methods. ② After passing the mediation effect test， it is realized that new quality productive forces can influence carbon emissions through the regional industrial structure and enhance carbon emission efficiency by elevating the level of scientific and t