Upgrading Of Enterprises Research Articles

Technology transfer and global value chain upgrading of manufacturing firms: evidence from China

Breaking through the predicament of "low-end lock-in" and achieving the upgrading of enterprises within the global value chain (GVC) is a critical issue in the study of internationalization strategies for enterprises in emerging economies. This paper uses China, a quintessential representative of such economies, as a case to explore how technology transfer can facilitate the upgrading of enterprises' GVCs. This research aims to reshape the international strategic positioning of Chinese enterprises by promoting the integration and development of technology transfer and the GVC. Utilizing patent data from Chinese manufacturing enterprises, as well as data from Chinese industrial enterprises and customs records from 2004 to 2014, this study empirically examines the relationship between technology transfer and the upgrading of enterprises' GVCs. Additionally, the moderating effect of industrial agglomeration is incorporated into the research framework.The findings reveal that both technology transfer in and technology transfer out significantly positively influence the upgrading of enterprises' GVCs, highlighting the crucial role of technological knowledge flow in enhancing enterprise positioning within the GVC. Furthermore, industrial agglomeration is shown to exert a positive moderating effect on GVC upgrading as a result of technology transfer out. This study provides valuable insights for policymakers, enterprise managers, and academics, enabling a more nuanced understanding of the pivotal role of technology transfer in reshaping GVCs. Consequently, it offers robust support for the internationalization strategies of Chinese enterprises.

The role of executives' social capital in improving merger and acquisition performance during corporate transformation and upgrading: Evidence from Chinese media enterprises.

During the transformation and upgrading of enterprises, executives' social capital provides useful access to resources through merger and acquisition (M&A) strategies. This study examines 145 M&A events of Chinese listed media enterprises undergoing transformation and upgrading as research samples. It empirically analyzed the impact of executives' social capital on short-term and long-term M&A performance from three aspects: corporate social capital (CSC), political social capital (PSC), and financial social capital (FSC). It also confirmed the moderating effect of corporate ownership structure, exploring the mechanism of executives' social capital during the period of transformation and upgrading. Based on the empirical results, we found that: (1) CSC significantly enhances short-term M&A performance but has no significant effect on long-term performance; (2) PSC positively influences both short-term and long-term M&A performance. State-owned media enterprises may gain relatively fewer benefits from PSC in the short term after M&A, but they can accrue more significant benefits in the long term post-M&A; (3) FSC does not affect short-term M&A performance but exerts a negative impact on long-term performance. The negative effect is even more pronounced in state-owned enterprises. This study complements existing research on executives' social capital during the transformation and upgrading of enterprises. It provides a reference for media enterprises in China and other emerging economies to utilize executives' social capital.

Mitigating the conflict between economic and green development: Emission reduction mechanisms for vertical transfer payments

AbstractThe impact of government behavior on emission reductions has gained widespread attention, but fewer studies have explored the relationship between vertical transfers (VT) and carbon emissions (CE). We empirically test the CE reduction mechanism of VT by constructing two‐way fixed effects models based on data of 278 Chinese cities from 2005 to 2020. Empirical analysis finds that VT reduce the taxing efforts of local governments and the tax burden of enterprises, promote the upgrading of enterprises' production technology, and ultimately reduces CE. Conclusions suggest that transfer payments should be actively used to establish preferential policies to assist enterprises in reducing CE.

Can ESG ratings promote green total factor productivity? Empirical evidence from Chinese listed companies

Against the backdrop of frequent extreme climates and international consensus on green and low-carbon development, Environmental, Social, and Governance (ESG) has progressively drawn increasing attention. Integrating the perspectives of stakeholder theory and signaling theory, this study employed the Malmquist-Luenberger productivity index, fixed-effects regression model, mediating effect model, propensity matching score difference-in-differences model, and a two-stage least squares method. Using the research sample of Chinese A-share listed companies between 2011 and 2021, the mechanisms linking ESG ratings and each component (the individual scores of E, S, and G) with the green innovation and green total factor productivity (GTFP) of enterprises were investigated. This study conducted heterogeneity analysis integrating regional, industry, and enterprise dimensions, fully considered the potential endogeneity issues, and conducted multiple robustness tests by exploring alternative approaches, replacing the measures of indicators, and reducing the research sample. The results demonstrated that higher ESG ratings significantly improved the green innovation and GTFP of enterprises. This improvement was achieved through the stakeholders and signaling mechanisms, and was more prominent in economically underdeveloped regions, patent-intensive industries, and industries with lower environmental risk. In addition, the impact varied among enterprises with different property rights. The findings elucidate the pathways through which soft regulation influences micro-level corporate decision-making, making significant contributions to the literature. Furthermore, this study provides a theoretical foundation and policy reference for constructing a positive feedback loop mechanism for ESG ratings and promoting the green transformation and upgrading of enterprises.

Digital HP finance's role in the economic resilience of enterprises’ digital transformation

To promote digital transformation by enterprises and provide more convenient and efficient financial services, this study analyzes enterprise digital transformation's promotion mechanism and economic influence factors globally and clarifies the role of inclusive digital finance in self-regulation and reducing financing difficulties during enterprise transformation. Finally, an economic resilience model is constructed to select parameters of economic factors, refined into two dimensions: enterprise transformation ability and enterprise upgrading ability. The digital economy is found to be conducive to improving the gross profit margin of enterprises with a significance greater than 0. A regression analysis shows that the estimated coefficients of the digital financial inclusion index, breadth of coverage, and depth of use are all significantly positive, and the different nature of the firms passes the significance test at the 1 % level. Thus, inclusive digital finance reduces the business risk of digital transformation and promotes the development of enterprises in the direction of specialization and innovation.

The Impact of Green Innovation on Corporate Performance: An Analysis Based on Substantive and Strategic Green Innovations

Green innovation is a new approach to achieving sustainable social development. Examining whether firms can reap the rewards of this costly and risky endeavor is essential to assessing whether they can sustainably adhere to a green strategy. This study was conducted on a sample of Chinese A-share-listed firms from 2010 to 2021 and employed a two-way fixed-effects approach. We found that substantive and strategic green innovations significantly impact firms’ financial and environmental performance. Specifically, substantive green innovation leads to a significant improvement in financial performance, while strategic green innovation weakens financial performance; both types of green innovations lead to a significant improvement in environmental performance, with strategic green innovation being more effective in this regard compared to substantive green innovation. Moreover, our heterogeneity analyses showed that substantive green innovation has a weaker effect on improving financial performance in state-owned enterprises (SOEs) and in firms in regions with higher government environmental concerns; similarly, in SOEs, strategic green innovation has a weaker detrimental effect on financial performance. The findings of this study provide substantial evidence for promoting green innovation transformation and the upgrading of enterprises.

Research on strategies for improving green product consumption sentiment from the perspective of big data

Promoting green development by stimulating consumers’ green consumption sentiment is an important measure to achieve carbon peaking and carbon neutrality goals in China. This article uses Python to crawl a total of 139075 consumer review data from 164 green products on the JingDong (JD.com) e-commerce platform from June 1, 2020 to May 6, 2023, identifies consumers’ key focus on green products in the four fields of clothing, food, housing, and transportation. And it explores the mechanism of joint action between each content, analyzes consumers’ green consumption sentiment and their causes, and deeply studies the dimensions of consumer demand by using TF-IDF segmentation weight analysis, word cloud mapping, network semantic analysis, sentiment analysis, and theme word mining. The research has found that: (1) The green consumption sentiment of consumers has an increasingly positive time trend. (2) Consumers prioritize appearance for clothing and home products, quality for food products, and service for travel products. And customer service attitude is an important factor that leads to the transformation of positive sentiment to negative sentiment. (3) The basic attributes that consumers pay attention to green products are mainly quality, appearance, transportation, price, service, and brand. Consumers’ attention to the green features and basic attributes of green products shows a significant growth trend. And consumers’ attention to the green features of green products can enhance their recommendation and loyalty. (4) The combined effect of consumers’ core and sub-core concerns forms consumers’ evaluation of green products. The participles in the core circle are the positive core determining factors for consumers’ green consumption sentiment, while the participles in the secondary core circle are the driving factors that make green consumption sentiment approach the maximum value. (5) Consumers’ demand for green products is mainly reflected in three dimensions: aesthetic acceptance demand, leisure and entertainment demand, and physiological and safety demand. The findings of this paper can provide a reference for the planning of green transition, upgrading of enterprises and the improvement of the production, design and sales process of green products, and provide a reference for the formulation and implementation of government policies to promote green consumption.

Research on the Decision Making of Value Chain Reconstruction of Chinese Port Enterprises under the Background of Free Trade Zone Policy

This paper aims to solve the decision-making problem of value chain reconstruction of Chinese port enterprises under the background of the Free Trade Zone policy. Based on value chain theory and system dynamics method, this paper constructs a simulation model that can simulate the value-added change process of port enterprises under different combination input conditions. Furthermore, it conducts simulation case studies. The research indicates that the Free Trade Zone policy has a significant promoting effect on the restructuring of port enterprise value chains and the transformation and upgrading of enterprises. Moreover, considering the impact of the Free Trade Zone policy and limited resources, the overall benefits to port enterprises from combined investments are superior to those from single-factor investments. According to the value chain theory, the business segments of a port are decomposed into ancillary value activities, basic value activities, and external value activities. The investments in these three types of value activities play roles, respectively, in enhancing the operational efficiency of port enterprises, expanding the business scope of port enterprises, and strengthening the core competitiveness of port enterprises. From the overall perspective of the system, Shanghai Port can obtain the maximum operating profit when the endogenous factor input rate is 13%, the basic factor input rate is 4%, and the exogenous factor input rate is 13%. The findings of this research provide a decision-making reference for Chinese port enterprises to realize value reconstruction, transformation, and upgrading in the context of the Free Trade Zone policy.

Green credit policy and total factor productivity: Evidence from Chinese listed companies

The green credit policy plays a vital role in promoting enterprise upgrading. This study utilizes a comprehensive panel dataset spanning thirteen years (2007–2019) from listed Chinese companies, using the difference-in-differences (DID) method to examine the effects of the Green Credit Guidelines in 2012 (GCG2012) on firm-level total factor productivity (TFP). The findings demonstrate that the GCG2012 policy can effectively promote firm-level TFP in green credit-restricted industries. This finding remains robust even after employing the PSM-DID model, alternating the treatment group and dependent variable, changing the sample period, and controlling for the influence of other environmental policies and financial crises. Notably, this effect is particularly salient among private enterprises, companies with weaker debt-paying ability, those operating in highly competitive industries, and those located in regions with higher financial liberalization. The mechanism tests suggest that enhancing the amplification of green innovation and the curtailment of agency costs (including both green and traditional agency costs) serve as likely conduits for the observed boost in firm-level TFP. This study further uncovers that the effectiveness of the GCG2012 policy permeates not only heavily polluting industries but also those with lesser environmental impact. Furthermore, we establish that the GCG2012 policy contributes substantively to the enhancement of companies' economic performance. In sum, this study sheds light on the micro-mechanisms underlying the long-term impact of the GCG2012 policy on firm-level TFP. It offers empirically grounded insights and policy recommendations to enhance the green credit policy, thereby facilitating sustainable development.

Spatio-Temporal Characteristics of Industrial Carbon Emission Efficiency and Their Impacts from Digital Economy at Chinese Prefecture-Level Cities

In the pursuit of China’s dual carbon goals, identifying spatio-temporal changes in industrial carbon emission efficiency and their influencing factors in cities at different stages of development is the key to effective formulation of countermeasures to promote the low-carbon transformation of Chinese national industry and achieve high-quality economic development. In this study, we used balanced panel data of 270 Chinese cities from 2005 to 2020 as a research object: (1) to show spatio-temporal evolution patterns in urban industrial carbon emission efficiency; (2) to analyze the aggregation characteristics of industrial carbon emission efficiency in Chinese cities using Global Moran’s I statistics; and (3) to use the hierarchical regression model for panel data to assess the non-linear impact of the digital economy on the industrial carbon emission efficiency of cities. The results show the following: (1) the industrial carbon emission efficiency of Chinese cities exhibited an upward trend from 2005 to 2020, with a spatial distribution pattern of high in the south and low in the north; (2) China’s urban industrial carbon emission efficiency is characterized by significant spatial autocorrelation, with increasing and stabilizing correlation, and a relatively fixed pattern of spatial agglomeration; (3) there is a significant inverted-U-shaped relationship between the digital economy and the industrial carbon emission efficiency of cities. The digital economy increases carbon emissions and inhibits industrial carbon emission efficiency in the early stages of development but inhibits carbon emissions and promotes industrial carbon emission efficiency in mature developmental stages. Therefore, cities at all levels should reduce pollution and carbon emissions from high-energy-consuming and high-polluting enterprises, gradually reduce carbon-intensive industries, and accelerate the digital transformation and upgrading of enterprises. Western, central, and eastern regions especially should seek to promote the sharing of innovation resources, strengthen exchanges and interactions relating to scientific and technological innovation, and jointly explore coordinated development routes for the digital economy.

What Determines the Digital Transformation of SRDI Enterprises?—A Study of the TOE Framework-Based Configuration

SRDI enterprises are a strong engine for the high-quality development of the economy and an important implementation body for the construction of a strong digital country. With the booming development of digital economy, digital transformation is one of the effective paths to empower the high-quality development of small and medium-sized enterprises. However, the digital transformation of SRDI enterprises is not a simple stacked combination of elements, but rather a complex linkage system that contains many conditional elements. The cracking of the digital transformation of SRDI enterprises urgently needs to be explored by the academic community. In order to analyze the key success factors of digital transformation in SRDI enterprises, to determine whether individual elements constitute the necessary conditions for the digital transformation of an enterprise, and to explore which antecedent configurations are more conducive to the success of an enterprise’s digital transformation, this study takes 39 “SRDI” enterprises in Zhejiang Province as samples and uses the Fuzzy Set Qualitative Comparative Analysis (fsQCA) method. Based on the “technology-organization-environment” framework, it examines the digital transformation path of “SRDI” enterprises from a configurational perspective. The following results were found in this study: the group patterns leading to high levels of digital transformation can be divided into the following four types: organization-environment linkage, pressure-strategy synergy, organization-led, and total-factor-driven. The group patterns leading to low levels of digital transformation can be divided into the following four types: total-factor-deficient, single-technology type, technology-biased, and organization-deficient. A digital strategy is an important condition for SRDI enterprises to realize high-level digital transformation, and the external environmental influences contribute to the realization of digital transformation and upgrading of enterprises, with the pressure of industry competition being more critical.

Does a mandatory cleaner production audit have a synergistic effect on reducing pollution and carbon emissions?

The mandatory cleaner production audit (MCPA) is an important initiative to promote energy conservation, emission reduction and green transformation and upgrading of enterprises. This paper matches 16,841 enterprises that implemented MCPA between 2003 and 2012 to the Chinese Industrial Enterprise Database and the Chinese Enterprise Pollution Emission Database. And carrying out the MCPA as a quasi-natural experiment, a difference-in-differences model based on propensity score matching is used to identify the net effect of it on the reduction of enterprise sulfur dioxide (SO2) emissions. The paper discovers that MCPA can significantly reduce the intensity of SO2 emissions, and this finding is robust to multiple scenarios. According to heterogeneity analysis, the MCPA is more conducive to reducing the intensity of SO2 emissions in domestic enterprises, enterprises with low financing constraints and heavily polluting industries. Mechanism tests show that MCPA can reduce SO2 emissions by optimising energy structure, increasing energy efficiency, and encouraging green process innovation. Further analysis reveals that the MCPA is an effective tool for achieving the synergistic effect of reducing SO2 and carbon dioxide (CO2) emissions in enterprises, and it serves the dual function of winning the pollution battle while also achieving the carbon peaking and carbon neutrality goals.

The Effect of Corporate Resource Abundance on the Transformation and Upgrading of Manufacturing Enterprises from the Perspective of Whole Process Innovation

Exploiting a comparative advantage through resource endowment is a way to promote the transformation and upgrading of enterprises and high-quality economic development. Based on resource-based theory, this paper takes the listed companies of China’s manufacturing industry as a sample and classifies them into leading, potential, catching-up, and exiting enterprises according to the abundance of financial and human resources. In terms of the research perspective, this paper adopts resource abundance as the starting point to explore its impact on enterprise transformation and upgrading and incorporates technological innovation into the framework to investigate its transmission mechanism. The results indicate that the resource abundance of enterprises directly promotes the transformation and upgrading of enterprises. Notably, the mechanism identification test suggests the following. (1) From the perspective of innovation investment, innovation investment intensity is an important channel for manufacturing companies to transform and upgrade. (2) From the perspective of innovation direction, higher levels of resources allow leading enterprises to accelerate transformation and upgrading through product and process innovation. In contrast, catching-up enterprises tend to foster product innovation rather than process innovation to transform and update, while potential enterprises are likely to foster process innovation to transform and update rather than product innovation. On the other hand, the path of transformation and upgrading through product or process innovation is obstructed for the exiting enterprises. (3) From the perspective of innovation output, all but the exiting enterprises can be transformed and upgraded by increasing their innovation output. Overall, considering the impact of corporate innovation behavior, this research offers new insights into the relationship between resource abundance and transformation and upgrading, and it provides inspiration for promoting transformation and upgrading in Chinese manufacturing enterprises.

Legal environmental regulation and green technology innovation of energy enterprises: based on panel threshold regression

Legal environmental regulation is not only an important tool for green technology innovation and energy efficiency improvement, but also a key measure for enterprise upgrading and high-quality economic development. Based on the panel data of China’s listed energy companies from 2010 to 2020, this paper finds that legal environmental regulation has a significant positive impact on enterprise green technological innovation by using SYS-GMM. And the threshold regression model is used to examine the nonlinear impact of legal environmental regulation on green technology innovation in this paper. The results show that the positive impact of legal environmental regulation on green output of energy enterprises is more prominent than that of non-R&D investment. In addition, the impact of legal environmental regulation on green technology innovation of energy enterprises has a threshold effect. That is, the loose legal environmental regulation (LER ≤ 399.656) has a negative impact on the green output of energy enterprises, while the impact of strict legal environmental regulation (LER > 399.656) is the opposite. Meanwhile, the loose legal environmental regulation (LER ≤ 491.291) and strict legal environmental regulation (LER > 491.291) have a negative impact on the non-R&D investment of energy enterprises. Finally, there are huge differences in green technology innovation capabilities of energy enterprises.

Path and Mechanism of Industrial Internet Industry Promoting the Transformation and Upgrading of Small and Medium-sized Enterprises with Artificial Intelligence

With the development of intelligent sensing and communication, industrial Internet of Things (IoT) networks have been widely applied in many application scenarios. As a typical application of industrial Internet of Things (IoT) networks, industrial Internet industry has attracted much attention from researchers. Specifically, in the transformation and upgrading of small enterprises in the Internet industry, their paths and mechanisms are very important. The correct path and mechanism of transformation and upgrading can promote national economic growth, strengthen market competition, enhance market vitality, and optimize economic structure. Small and medium-sized enterprises have always been the backbone of my country’s economic development, especially in terms of promoting employment, promoting technological innovation, increasing national taxes, and improving people’s livelihood. In this paper, when discussing the relationship between knowledge sharing and business performance of SMEs, the organization name is introduced as an intermediate variable. By combining theoretical research and empirical research, a theoretical model is established, research hypotheses are proposed, and the previous research questionnaire is used, by exploiting the intelligent sensing and communication. As a reference, a research questionnaire suitable for the reality and needs of this research was designed. On this basis, this article first has a deep understanding of the research status of comprehensive budget management at home and abroad and analyzes the innovations and shortcomings of this article in the analysis process, understands the mobile Internet, integrates budget management, and integrates information for budget management. It prove the feasibility of helping small and medium-sized enterprises to transform in the mobile Internet environment and analyzes the feasibility of implementation to help small and medium-sized enterprises; it also shows that the industrial Internet industry is helpful to the transformation of traditional industries and is conducive to the transformation and upgrading of enterprises, thereby solving the problem of high cost of building an information platform, reducing the workload of IT personnel and extending the budget Management time provides new ideas for promoting the transformation and upgrading of the Internet for small and medium-sized enterprises, which can increase the efficiency of the small and medium-sized enterprises by more than 40% and greatly increase their profits, through the intelligent sensing and communication. The research of this paper provides important guidance for the application of industrial IoT networks, especially for the intelligent sensing and communication.

Financial asset allocation duality and enterprise upgrading: empirical evidence from the Chinese A-share market

This study selects the financial data of Chinese non-financial listed companies from 2012 to 2021 as the research sample and empirically examines in detail the impact of financial asset allocation on enterprise upgrading and its mechanism. The study finds that financial assets have a dual influence on enterprise upgrading. Short-term financial assets provide the necessary funds for production activities, thus promoting enterprise upgrading. Long-term financial assets crowd out the funds needed for production activities and thus inhibit enterprise upgrading, resulting in an inverted U-shaped relationship between financial assets and enterprise upgrading. Mechanism testing revealed that risk-taking capacity and earnings persistence are important ways in which financial assets affect enterprise upgrading. In addition, the impact of financial assets on enterprise upgrading differs for different types of financial assets. The financial asset significantly impacts the upgrading of over-indebtedness, non-state-owned, and high financing constraints enterprises. This study enriches the research literature on financial assets and enterprise upgrading and provides new micro evidence for understanding the impact of financial assets on the enterprise upgrading of listed companies.

Analysis of the International Real Estate Financial Investment of Chinese Real Estate Enterprises

With the relatively tight policy adjustment of the government's outbound investment in the general environment and the impact of COVID-19, Chinese real estate enterprises have been challenged and international investment has lost money for a while. In the fierce competition, real estate companies represented by Wanda and Vanke Group successfully used the transformation and upgrading of enterprises to survive, while some of real estate companies (e.g., Evergrande Group) faced a crisis of collapse due to failure of adjusting their business strategies in a timely manner. This paper studies the investment status and development trend of Chinese real estate enterprises in international markets, and analyze the risks and countermeasures of major Chinese enterprises in international real estate financial investment in the past six years. Wanda Real Estate's decision to shift from asset-heavy to asset-light is worth learning. Vanke's business strategy conforms to the green environmental protection requirements of social development and is worth looking forward to in the future development prospects. The enlightenment given to us by Evergrande is that when facing international investment, we must adapt measures to local conditions and choose investment methods suitable for our own enterprises in order to develop steadily in international markets. These results shed light on guiding further exploration of international investment for real estate companies.

How Digitalization Shapes Export Product Quality: Evidence from China

Digitalization has imposed new production and trade requirements on enterprises. Quality upgrading of export products, a requirement of international consumption upgrading, is also a product of enterprise industrial upgrading. We examine the impact of the digitalization of Chinese listed firms on the quality of their export products from 2011 to 2015 using the panel fixed effects model and chain mediating effects model. The results demonstrate that digitalization has an inverted U-shaped effect on the quality of export products. Further, digitalization can promote the quality upgrading of enterprises’ export products. However, the supporting capacity of digital infrastructure and the decreasing consumption upgrading of foreign customers limit this process. Empirical results show that digitalization can alleviate the financing constraints to improve the quality of export products. Because digitalization can improve human capital quality, this effect can improve the export product quality. A chain mediation effect also occurs. Digitalization alleviates financing constraints to improve human capital and enterprises’ export product quality. By clarifying digitalization⇒, alleviating financing constraints⇒, improving human capital quality⇒ improve export product quality relationships, executives can improve the competitiveness of enterprises in the international market.

How Does Environmental Law Affect Companies' R&D Capabilities? An Example from Guangdong During 11th Five Year Plan

Since reform and opening up, China's economy has grown rapidly, while a heavy environmental price has also been paid. Today under the goal of "dual carbon", it is urgent to promote the transformation and upgrading of enterprises to achieve green development. This paper takes the manufacturing enterprises in Guangdong province as the research sample, and takes the environmental regulation of the "Eleventh Five-Year " policy as the quasi-natural experiment, and empirically explores the impact of environmental regulation on the transformation of enterprises through the PSM-DID method. This work finds that what affect companies R&D expenses significantly are those nonpolicy factors. And the increase of years of company operation and income will promote the investment in innovation of the enterprise. The paper concludes that increasing the input of R&D by executing environmental restriction policy is not reliable, and environmental regulation may require further intervention in firm internal performance to be effective.

Research on the Model of Intelligent Upgrading Capability of Automobile Enterprises Based on Niche Perspective

The intelligent upgrading of enterprises has become the inevitable trend of the development of modern manufacturing enterprises, which has positive significance for promoting the high-quality development of manufacturing industry and accelerating the industrial transformation and upgrading. As the pillar of manufacturing industry, the intelligent upgrading of automobile industry is imminent. This paper defines the connotation of the intelligent upgrading capability of automobile enterprises, and constructs the formation model of the intelligent upgrading capability of automobile enterprises based on the niche situation theory. On this basis, it puts forward the development countermeasures of the intelligent upgrading of automobile enterprises from the aspects of selecting the upgrading direction suitable for their own development, finding the correct positioning in the market, strengthening the interaction with the environment and active selection, It lays a theoretical foundation for the intelligent upgrading of automobile enterprises in practice.