Combining the biennial Malmquist–Luenberger index and panel quantile regression to analyze the green total factor productivity of the industrial sector in China

• Published in: The Science of the total environment Vol. 739; p. 140280
• Main Authors: Wang, Ke-Liang, Pang, Su-Qin, Ding, Li-Li, Miao, Zhuang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.10.2020
• Subjects: Biennial Malmquist–Luenberger (BML) productivity index; China; energy; environment; environmental law; environmental protection; Fixed-effect panel quantile regression; foreign direct investment; Green total factor productivity (GTFP); Industrial sector; industrialization; regression analysis; technology; China; Green total factor productivity (GTFP); Industrial sector; Biennial Malmquist–Luenberger (BML) productivity index; Fixed-effect panel quantile regression

Improving the green total-factor productivity (GTFP) is a key measure to coordinate industrial development and environmental protection in China. This study adopts the biennial Malmquist–Luenberger (BML) productivity index to estimate the GTFP change of China's 34 industrial subsectors covering...