制造业数字化与绿色化协同发展的影响因素及实施路径:从配置角度分析

Haiyong Jiang, Yinghui Han, Yan Qin
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摘要

鉴于制造业在环境质量方面的重要作用,制造业必须将数字化和绿色化作为在数字经济背景下实现高水平发展的重要战略。现有的大多数研究都在探讨单个或多个因素对制造业数字化或绿色化的净影响。对影响制造业数字化和绿色化之间的联系和同步推进的各种因素进行整合的调查还很有限。本文对影响制造业数字化与绿色变革协同作用的因素进行了认识,并建立了理论框架进行分析。同时,运用 FsQCA 工具对中国 30 个省份制造业中包含绿色数字化协同程度的配置案例进行了调查。结果表明(1)从 2007 年到 2020 年,制造业数字化与绿色化融合发展水平呈上升趋势。协作模式有三种,即 "工业机器人驱动""市场发展驱动 "和 "市场发展驱动-工业机器人驱动",每种模式至少包含一至四种等效路径。(2)市场化水平和工业机器人应用分别是驱动制造业数字化与绿色变革协同程度的重要外部和内部拉动力。(3)制造业内部数字化绿色化发展协同模式选择的影响因素具有互补性,其中市场化程度与工业机器人在配置中的作用类似,在特定条件下能够弱化政府研发投入支持不足带来的负面影响;(4)制造业内部数字化绿色化的非高度协同状态主要是由于市场化程度、开放程度和经济发展水平较低,以及工业机器人和软件产品的应用率较低造成的。本研究丰富了对制造业数字化与绿色变革的理论认识。同时,也为在制造业实践中统筹协同推进数字化绿色转型提供了启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influencing Factors as well as Implementation Path of Synergistic Development of Digitalization and Greening in Manufacturing Industry: Analysis from a Configuration Perspective
The manufacturing sector must incorporate digitalization and greening as crucial strategies to attain high level of development in the context of the digital economy, given its significant role in quality of environment. Most of existing studies explore net effect of a single or several factors on the digitalization or greening in the manufacturing industry. Limited investigation has been done to integrate various factors impacting the connection and synchronized advancement of digitalization and greening within the manufacturing. Factors affecting the synergy of digitalization and green change within manufacturing are recognized in this article, and a theoretical framework is established to analyze. FsQCA tool is also put into use to survey configurational cases, which contains synergy degree of green digitalization from 30 provinces’ manufacturing in China. Results show that: (1) Between 2007 and 2020, the development level of digital-green integration in the manufacturing industry shows an upward trend. There are three types of collaborative modes, namely, "industrial robot driven" "market development driven" and "market development driven - industrial robot driven", with each mode consisting of at least one to four equivalent pathways. (2) The marketization level and application of industrial robots are the important external and internal pulling forces that drive the synergy degree of digitalization and green change within manufacturing industry, respectively.(3) The influencing factors of the collaborative mode choice of digital-green development within manufacturing industry are complementary, among which, the degree of marketization is similar to the role of industrial robots in the configuration, which are capable to weaken the negative impact from insufficient government R&D investment support under specific conditions; (4) The non-high collaborative state of digital green in manufacturing industry is mainly due to the low level of marketization, openness, and economic development, as well as the low application rate of industrial robots and software products. This study enriches the theoretical understanding on digitalization and green change of manufacturing industry. Meanwhile, it also provides insights to advance the integrated and synergistic advancement of digital green transformation in manufacturing practice.
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