School of Marxism Studies, Harbin University of Commerce, Harbin, Heilongjiang, People's Republic of China.
School of Finance, Harbin University of Commerce, No.1, Xuehai Street, Songbei District, Harbin, Heilongjiang, People's Republic of China.
Sci Rep. 2022 Jul 8;12(1):11642. doi: 10.1038/s41598-022-15614-8.
As an important embodiment of a country's economic strength and national health, pharmaceutical manufacturing industry has made rapid development in China in recent years. But at the same time, the pharmaceutical manufacturing industry is facing many environmental problems, such as large pollution emissions, complex pollution components, controlling difficulties and so on. This paper measures the total factor productivity of pharmaceutical manufacturing industry (HTFP) by using data envelopment analysis with unexpected output, which is more accurate and effective than the traditional model. It also studies the effect of environmental regulation on the total factor productivity of pharmaceutical manufacturing industry (HTFP) by establishing panel data regression model and spatial econometric model based on 30 provinces in China from 2004 to 2019, which enriches the research results in the field of cleaning in pharmaceutical manufacturing industry. The conclusions are as follows: (1) Environmental regulation and total factor productivity of pharmaceutical manufacturing industry have significant spatial autocorrelation, showing "high-high" or "low-low" spatial aggregation characteristics; (2) Environmental regulation has a significant promoting effect on improving pharmaceutical manufacturing total factor productivity in local and surrounding areas, and there are differences in the impact of eastern, central and western regions; (3) Green technology, production technology and industrial structure play an important role in the impact of environmental regulation on pharmaceutical manufacturing total factor productivity, which provides theoretical guidance and policy recommendations for improving the level of total factor productivity of pharmaceutical manufacturing industry in the environmental aspect.
作为一个国家经济实力和国民健康的重要体现，中国医药制造业近年来取得了快速发展。但与此同时，医药制造业也面临着许多环境问题，如污染排放量大、污染成分复杂、治理难度大等。本文运用非期望产出的数据包络分析方法测算了医药制造业全要素生产率（HTFP），比传统模型更准确、有效。本文还基于 2004-2019 年中国 30 个省份的面板数据，建立面板数据回归模型和空间计量模型，研究了环境规制对医药制造业全要素生产率（HTFP）的影响，丰富了医药制造业清洁生产领域的研究成果。结论如下：（1）环境规制与医药制造业全要素生产率具有显著的空间自相关性，呈现“高高”或“低低”的空间集聚特征；（2）环境规制对提高医药制造业在当地及周边地区的全要素生产率有显著的促进作用，且在东、中、西部地区的影响存在差异；（3）绿色技术、生产技术和产业结构在环境规制对医药制造业全要素生产率的影响中起着重要作用，为提高医药制造业环境方面的全要素生产率水平提供了理论指导和政策建议。
