Analysis on the digital transformation index system of enterprise’s low carbon business performance based on AHP-DEA

Abstract

With the arrival of the low carbon era, enterprises, as the main body of the market economy, must take the road of low carbon operation whether to fulfill their social responsibilities or to seek enterprise development. However, Chinese enterprises started late to understand the low-carbon economy. So far, except for a few state-owned enterprises, some leading private enterprises and foreign-funded enterprises, they have made remarkable achievements in low-carbon emission reduction. Most enterprises in China have not realized the importance of low carbon emission reduction. In order to step out of the “high carbon” era and coordinate economic development and environmental protection, China must solve the problem of low-carbon transformation of small and medium-sized manufacturing enterprises. How to measure the degree of low carbon transformation, and how the government objectively evaluates the degree of low carbon economic development of enterprises, with a view to formulating corresponding standard incentives and punishment measures for them. It is urgent to establish a sound, reasonable and feasible low carbon operation management indicator system, and comprehensively evaluate the information related to low carbon operation of SMEs through reasonable selection of indicators. According to the connotation of low-carbon enterprises, the economic benefits of enterprises are closely combined with environmental benefits. A set of low carbon operation performance evaluation index system including economy, technology and environment has been constructed. The AHP index weight is calculated by establishing the AHP model and the Data Envelopment Analysis (DEA) index weight is calculated by establishing the DEA model. On this basis, the grey relational evaluation model based on AHP-DEA is established. Then the paper evaluates the performance of representative enterprises’ low carbon operation. Propose corresponding improvement suggestions for the problems reflected in the low carbon operation performance ranking of enterprises and the scoring of various indicators. The research results show that the algorithm has high efficiency and the accuracy of model evaluation is 95.51%. To a certain extent, this study makes up for the research results of the impact of digital transformation on corporate strategic performance, and also provides ideas for the research of corporate financial performance evaluation.

How Does the Digital Transformation Affect the Carbon Emissions of Manufacturing Enterprises in China? The Perspective of Green Technology Innovation

“…In order to make the result more reliable, we verified whether the mediating effect still exists by observing the sum of the number of green patents granted by enterprises in that year (lngti_1). According to the results of model (7) and model (8) in Table 4, the results are still good, and the role of mediator still exists.…”

“…It has been reflected in the digital development of manufacturing industry. At present, many Chinese enterprises have achieved good results in environmental protection through advanced information technology [7]. Enterprises can make use of the advantages brought by digital transformation to enhance their comprehensive strength in business activities [8].…”

“…This study hopes to verify the nonlinear characteristics of the application of enterprise digital technology on the reduction in carbon dioxide emissions from the perspective of green technology innovation. We build a panel threshold model and the model is as follows: (7) ln X it represents a series of control variables, consisting of ln size, ln lev, ln cr, ln lp, ln manage. γ is a threshold.…”

Research trends on digital transformation on financial market development

“…Figure 4 shows the highest number of publications on digital transformation in relation to financial market development; each author published 2 and 3 documents, but of those 383 articles, many authors were involved in analyzing this study, and 131 other authors were involved. However, from these publications, several articles by the author are very relevant to the current state of digital transformation (Xie, 2023) based on digital data and how multiple effects digital transformation has on the development of financial markets, more specifically for users of digitalization. Therefore, the dynamic development of digitalization and the use of new technological tools can facilitate more efficient interactions and have great potential for the development of financial markets (Tou et al, 2020).…”