摘要：数智化作为工业企业增长的新动能，在优化废物管理方面亦展现出显著潜力，已成为工业领域可持续发展的重要推动力。本文以2010—2021年中国A股上市工业企业为样本，运用双向固定效应模型，实证考察了数智化对工业企业废物集中处理及再利用的影响效应与传导机制。研究发现：数智化显著优化了工业企业的废物集中处理及再利用过程，该结论在一系列稳健性检验后依然成立。具体传导机制表明：数智化通过提升企业绿色责任水平与绿色技术创新能力，促进废物集中处理及再利用。同时，绿色责任也驱动企业在技术、生产工艺、产品设计等环节积极实施绿色技术创新。因此，绿色责任与绿色技术创新在数智化与废物集中处理及再利用之间形成了链式中介作用。此外，对外开放程度越高，数智化对废物集中处理及再利用的提升效应越显著。数智化的影响存在行业异质性，其在制造业、供应业、污染行业、流程型行业以及竞争性行业中的促进作用更为突出。为此，工业企业自身应深度挖掘内部潜力，积极探索数智化转型的发展路径。同时，政府相关部门应积极发挥政策的关键扶持作用，全力推动工业企业实现数智化转型。
关键词：数智化；废物集中处理及再利用；绿色责任；绿色技术创新；对外开放
The Impact of Digital Intelligence on the Centralized Treatment and Reuse of Waste in Industrial Enterprises
Ai Mingye, Wu Borui, Peng Lingjing, Bu Yan
Abstract: As a new driving force for the growth of industrial enterprises, digital intelligence demonstrates significant potential in optimizing waste management and has become an important catalyst for sustainable development in the industrial sector. Using a sample of China’s A-share listed industrial enterprises from 2010 to 2021, this study employs a two-way fixed effects model to empirically examine the impact of digital intelligence on centralized waste treatment and reuse, as well as its underlying transmission mechanisms. The findings indicate that digital intelligence significantly improves the processes of centralized waste treatment and reuse in industrial enterprises, a conclusion that remains robust under a series of rigorous robustness checks. The transmission mechanisms further reveal that digital intelligence facilitates waste treatment and reuse by enhancing corporate green responsibility and green technology innovation capabilities. Moreover, green responsibility drives enterprises to actively implement green technology innovations across areas such as technological processes, production techniques, and product design. As a result, green responsibility and green innovation jointly constitute a chain-mediating effect between digital intelligence and waste management performance. In addition, a higher degree of openness strengthens the positive effect of digital intelligence on waste treatment and reuse. The study also uncovers industry heterogeneity in this relationship, with the promoting effect of digital intelligence being more pronounced in manufacturing, utilities, pollution-intensive industries, process-oriented sectors, and competitive markets. Therefore, industrial enterprises should fully tap into their internal potential and actively explore pathways for digital and intelligent transformation. At the same time, relevant government authorities should play a key supportive role through targeted policies to accelerate the digital transition of the industrial sector.
Keywords: Digital Intelligence; Centralized Waste Treatment and Reuse; Green Responsibility; Green Technology Innovation; Opening-up
