Guangdong-Hong Kong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Institute for Environmental and Climate Research, Jinan University, Guangzhou, 510632, China.
Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, Guangdong, China.
Environ Pollut. 2023 Jan 1;316(Pt 2):120562. doi: 10.1016/j.envpol.2022.120562. Epub 2022 Nov 1.
For sustainable regional development, industrial transfer is an important trend that will potentially change the spatial and temporal pattern of air pollution and economic development. Aiming to better regulate industrial transfer and guide policy-making, this study proposes an assessment framework for industrial transfer that combines precise enterprise data, GIS technology and a 3-D air quality model. Taking Guangdong Province as an example, this study simulates the redistribution of 4015 high-pollution and high-energy-consumption (double-high) enterprises in the Pearl River Delta (PRD) to surrounding areas, and the potential impact on air quality is further evaluated. Three mutually independent transfer scenarios with different objectives are designed-ENV (ENVironment), ENT (ENTerprise), and GOV (GOVernment)-which aim to maximize benefits from the standpoint of the residents of Guangdong, the enterprises themselves, and local governments, respectively. Results show that Western Guangdong (WG), Northern Guangdong (NG), and Eastern Guangdong (EG) would be the primary transfer-in regions under the ENV, ENT, and GOV scenarios due to different resource endowment. Controlled by the different scenarios, the redistribution of enterprises presented different characteristics regarding the transport of pollutant emissions and economic added value between the PRD and surrounding areas. The average concentration of PM and the related population-weighted concentrations (PWC) showed a slight decrease over the PRD (-0.75 to -0.62 μg/m and -0.35 to -0.49 μg/m per person) but increased dramatically in surrounding areas under the three scenarios (0.46-7.68 μg/m and 0.07-4.44 μg/m per person). The transfer of double-high enterprises could potentially decrease the industrial fossil fuel consumption intensity (fossil energy consumption per unit of industrial GDP) of most of the cities while exacerbating pollution intensity (concentration of PM per unit of industrial GDP), reflecting the huge gap in the regional industrial development pattern in Guangdong Province at this stage, and illustrating the importance of emission control of these enterprises for improvement of regional air quality in the future. The research perspective on industrial transfer proposed in this study could provide a reference for future studies.
为实现区域的可持续发展,产业转移是一个重要的趋势,它可能会改变空气污染和经济发展的时空格局。本研究旨在更好地规范产业转移,指导政策制定,提出了一个将精确的企业数据、GIS 技术和三维空气质量模型相结合的产业转移评估框架。以广东省为例,模拟了珠江三角洲(PRD)4015 家高污染、高能耗(“双高”)企业向周边地区的重新分布,并进一步评估了对空气质量的潜在影响。设计了三个相互独立的、目标不同的转移情景:ENV(环境)、ENT(企业)和 GOV(政府),分别从广东省居民、企业自身和地方政府的角度出发,旨在实现最大效益。结果表明,由于资源禀赋不同,粤西(WG)、粤北(NG)和粤东(EG)将成为 ENV、ENT 和 GOV 情景下的主要转入区。在不同情景的控制下,企业的重新分布呈现出不同的特征,表现在污染物排放和经济附加值在 PRD 和周边地区之间的运输上。在三种情景下,PRD 地区的 PM 平均浓度及相关的人口加权浓度(PWC)(每人为-0.75 至-0.62μg/m 和-0.35 至-0.49μg/m)略有下降,但周边地区的浓度却显著增加(每人为 0.46-7.68μg/m 和 0.07-4.44μg/m)。“双高”企业的转移可能会降低广东省大部分城市的工业化石燃料消费强度(单位工业 GDP 的化石能源消耗),同时加剧污染强度(单位工业 GDP 的 PM 浓度),反映了现阶段广东省区域产业发展格局的巨大差距,也说明了这些企业的排放控制对未来改善区域空气质量的重要性。本研究提出的产业转移研究视角可为未来的研究提供参考。