Industry Convergence Research Articles

Bibliometric Review on Digital Economy and Industry Convergence: The Impact of Digitalization on Business Adaptation and Innovation

This study presents a bibliometric analysis of research on digital economy and industry convergence, with a focus on the impact of digitalization on business adaptation and innovation. Using data from key databases, including Scopus and Web of Science, and visualized through VOSviewer, the analysis reveals key themes, influential authors, and evolving research trends from 2000 to 2024. The findings highlight that "digitalisation" remains central to the discourse, particularly in relation to manufacturing, automation, and business process digitisation. Recent research shows a growing focus on sustainability and the role of digitalization in addressing environmental challenges. Additionally, the impact of COVID-19 has accelerated the adoption of digital strategies, with businesses increasingly focusing on flexibility, risk management, and business resilience. The analysis of author collaboration networks identifies prominent contributors and interdisciplinary efforts in this field. This study underscores the importance of digital innovation for business growth and calls for further exploration of how digital technologies can enhance sustainability and resilience in a post-pandemic world.

Analysis of Market Diversification Trends and Network Characteristics Based on M&A Transactions in North America

Despite the increasing investment opportunities in emerging technologies, strategic alliance and dynamic investment strategy suffer from a limited understanding of the market investment trends and industry convergence. Therefore, this study aims to develop a structured framework to examine the market diversification trend and the industry-to-industry influential degree. The proposed framework utilizes M&A transaction activities from the interests of buyer and target industries from 2009 to 2018 in North America. The M&A network is then examined for the difference in the structural characteristics between the buyer and target industries. This study identifies market irregularity and diversification trends and applies the initial findings as market-level evidence to elucidate industry convergence potentials. Degrees of a specific industry’s influence on other industries are also presented and discussed from the perspectives of buyer and target industries. The findings of this study contribute to the development of industry convergence conceptual model and advances knowledge regarding market diversification, collaboration-driven industry convergence, and investment strategy.

Contesting the Prescriptibility of Emotion through Affective Encounters in Lucy Prebble’s The Effect (2012)

This paper explores how Lucy Prebble’s The Effect (2012) dramatises the subversive potentialities of affective encounters as an antidote to the isolating, profit-minded forms of posthumanisation prescribed by modern psychiatry. It argues that the play poignantly unveils how the convergence of the psychopharmaceutical industry with advanced capitalism and neoliberal ideology shape popular discourse around mental illnesses and the necessity of medically induced (self-)regulation of emotion. It also investigates how Prebble mingles crisis with hope in the piece by portraying the autonomy and unpredictability of affective bodily responses, which evade being translated into bio-data and destabilise biopsychiatry’s totalizing view of emotions as utterly controllable through the brain. My analysis utilises Rosi Braidotti’s theorisation of the posthuman subject as both susceptible to exploitation and control and as the site of resistance and ongoing transformation, as presented in her work The Posthuman (2013). It also employs Stefan Herbechter’s theories, as expressed in his book Posthumanism: A Critical Analysis (2013), on how biotechnological developments, advanced capitalism and ideology converge, facilitating new forms of self-governmentality. Finally, it refers to Brian Massumi’s conceptualisation of affect, prevalent in his work “The Autonomy of Affect” (1995) as an intense autonomic bodily response which resists processes of control and manipulation. Ultimately, I argue that The Effect highlights the transformative potential of affective encounters and interconnectedness, functioning as resistance to modern psychiatry’s isolating prescription of emotional self-governance through self-medication.

An Empirical Study on Industry Convergence in an Underdeveloped Area: Shanwei, Guangdong, China

The present paper studies the convergence of industry in Shanwei, a coastal city in Guandong province, China. The data originated from the Shanwei Statistical Yearbook 1990-2021. The Herfindahl-Hirschman Index is used to evaluate industry convergence. The Grey relational analysis assesses the contributions of the three industries’ added values to local GDP. The regression model verifies if the industry convergence is conducive to economic growth. The results first indicate that Shanwei City’s economy shows a significant increase in the proportions of the manufacturing and service sectors and a sharp decline in the ratio of the agricultural sector. Second, the service sector contributes the most to GDP, followed by the agricultural sector, with the manufacturing sector contributing the least. Third, industrial convergence is driving regional economic growth. This study’s theoretical contribution outlines the relationship between Shanwei City’s industrial convergence and regional economic development. The proposed policy recommendations are valuable for adjusting its industrial framework and promoting high-quality development.

Technology acquisitions and investor expectations: Reputation and expectancy violation perspectives

AbstractEmploying the organizational reputation lens and expectancy violation theory (EVT), I examine how financial market investors (investors) affect the technology acquisition activity and the likelihood of survival of firms facing technological change. I theorize that when a firm has a growth reputation, that is, investors expect revenue growth in future periods, the likelihood of making an acquisition will increase in anticipation of a positive expectancy violation on the part of investors. In contrast, for a firm that has an income reputation, that is, investors expect shareholder returns in future periods, the likelihood of making an acquisition will decrease in avoidance of a negative expectancy violation on the part of investors. I predict a novel moderating effect of investor expectations—a firm's acquisition activity will exert a stronger positive effect on its likelihood of surviving technological change when investor expectations are growth‐oriented, that is, when there is a positive expectancy violation. Using a multi‐industry sample of industry convergence, a salient form of technological change, I find support for my theoretical predictions. I advance research that examines the reactions of investors to firm strategies during technological change to the domain of technology acquisitions, a salient strategic decision. I also expand the predictive utility of the reputation lens and EVT to the context of firm survival during technological change.

중국 학술지에 게재된 웰니스관광에 대한 연구 동향

Purpose: This study analyzes trends in wellness tourism research published in Chinese academic databases from 2016 to December 2023, aiming to understand the development of wellness tourism in China and to provide insights for research in both South Korea and China. Methods: To conduct this study, 295 papers related to wellness tourism were classified and analyzed by publication year, research area, research method, research topic, and keywords. Results: The research region included 102 papers from the western region (34.58%), 52 from the central region (17.63%), 47 from the eastern region (15.93%), and 19 from the northeastern region (6.44%). The research methods comprised 190 qualitative studies (64.41%), 56 quantitative studies (24.07%), and 49 mixed-method studies (11.53%). The research topics were the development/improvement of wellness tourism 110 papers(37.29%), resources/marketing 59 papers(20%), general topics 54 papers(18.31%), behavior/demand 33 papers(11.19%), economy 30 papers(10.17%), and professionals 9 papers(3.05%). The most frequent keywords were “forest” 69 times(39.3%), “industry convergence” 22 times(12.6%), and “rural revitalization” 11 times(6.3%). Conclusion: Research on wellness tourism in China has been actively conducted in the western region, with many qualitative studies, and a significant number of topics related to the develop ment and improvement of wellness tourism. In terms of publication years, research related to the eastern region has shown a rebound trend, and there has been an increasing trend in topics concerning the development/improvement of wellness tourism and the behavior/needs of wellness tourists. A significant number of keywords related to forests have been observed.

Tourism industrial convergence development: Residents’ attitude of Macau

Tourism industrial convergence development: Residents’ attitude of Macau

Rural Industry Revitalization Can Be Energized by Land Transfer: A Case Study in Guangxi Zhuang Autonomous Region, China, 2013–2022

The Chinese government has vigorously promoted the transfer of land use rights, aiming to promote the scale, intensification, and efficiency of agricultural operations and achieve rural industry revitalization (RIR). However, whether and how land transfer energizes RIR remains unclear. Taking five representative cities (Nanning, Guigang, Baise, Fangchenggang, and Guilin) in Guangxi Zhuang Autonomous Region as a case study, we quantificationally characterized RIR during 2013–2022 using eleven variables and land transfer using three difference indices. We evaluated the contribution of land transfer to RIR and compared it among cities. Results showed that all five cities in Guangxi displayed an increasing trend of land transfer and RIR over the last decade. The increase in RIR was largely contributed by the improvement in infrastructure construction and industry convergence, and, to a lesser extent, by the enhancement in agricultural production efficiency. There was a strong city-specific correlation between RIR and the land transfer indices, indicating a beneficial role of land transfer in RIR. Structural equation modeling further indicated that land transfer promoted RIR, likely through facilitating infrastructure construction, enhancing industry convergence, and improving agricultural production efficiency. These results provide strong evidence that the transfer of land use rights can promote RIR and practical reference for advancing farmers’ well-being and the overall goal of rural revitalization in the future. The framework and the methodology proposed here are applicable elsewhere in China and other countries where scattering allocation of land resources represents a key limitation to agricultural production and economic development.

The role of industry convergence in promoting the development of cultural and creative tourism under the background of data convergence

The role of industry convergence in promoting the development of cultural and creative tourism under the background of data convergence

The factors driving industrial integration: A fuzzy set qualitative comparative analysis

The integration of modern service and advanced manufacturing industries represents deep industrial reform and profound change in quality concepts, mechanisms, and practices. Integrating these two industries is important for achieving high-quality development and is an area of interest for policymakers and academia. This study analyzes the data of 11 regions in 2021 in the Guangdong–Hong Kong–Macao Greater Bay Area using the fuzzy set qualitative comparative analysis method from the configuration perspective. This study explores the effects of multiple factors, such as economic efficiency, technological innovation, and the policy environment, on improving the coupling coordination level of the modern service and advanced manufacturing industries, and analyzes the path selection of industrial integration development. Overall, economic efficiency, technological innovation, and policy environment factors are not necessary conditions for the integration development of the modern service and advanced manufacturing industries. The multiple impacts of economic efficiency, technological innovation, and policy environment form a multi-restructuring path that drives the integration of the two industries. Owing to the economic development level and resource endowment of different regions, the path dictating the degree of integration between the two industries varies by region. From a holistic perspective, all regions should strive to coordinate the multiple conditions of economic efficiency, technological innovation, and policy environment to break through objective constraints such as the government's conditions and external environment based on their own organizational conditions and resource endowments. Additionally, all regions should strengthen exchanges, cooperation, and integration mechanisms and implement complementary development and distinctive development in core cities in the Greater Bay Area. The results clarify the factors affecting industrial convergence in the Greater Bay Area, enriching existing research methods and laying a foundation for a decision-making theory of industrial integration development.

Support, promotion and popularization of reading by the modern Russian professional community

The turn of the 20th and 21st centuries was the time of formation a new social reality, where books and reading lost their leading positions to new media technologies. The index of media activities for reading on paper continues to decline steadily. The formation processes of a technogenic society in the country as well as digitalization and convergence of media industry, including publishing, bookselling and library complex and mass media in the early 21st century brought a powerful contradiction. On the one hand, serious threats to the existence of books and reading have arisen, but on the other hand, new opportunities for maintaining and enhancing book culture have appeared. Under these conditions, the professional community has taken effective measures to stimulate public interest in books, reading and libraries. It involved interested organizations in this process; developed special programs and projects for the promotion and development of book culture; created special centers at libraries and universities dedicated to the study of modern reading; provided scientific, methodological and practical assistance to libraries. The professional community also organized the largest professional forums and campaigns to attract the public to reading. The purpose of the article is to show how various institutions, centers, government structures and creative unions in Russia support, promote and popularize the reading. This article allow us to get acquainted with the most successful experience of existing and/or newly created organizations and public associations carried out educational, informational and research activities in the field of books and reading.

FinTech, industrial convergence, and farmers’ prosperity

In recent years, FinTech penetration into rural areas, alongside the integration of agricultural industries, has posed significant implications for rural prosperity. Hence, this study investigates the impact of financial technology (FinTech) on farmers’ prosperity based on the industrial convergence of Chinese prefecture-level cities from 2013 to 2018. Empirical analysis of panel data demonstrates that FinTech significantly boosts farmers’ prosperity, particularly in eastern and central China. Furthermore, industrial convergence serves as a mediating factor, enhancing the positive impact of FinTech. This suggests that the integration of various agricultural sectors through technological advancements can lead to increased economic benefits for farmers. This study contributes to the literature by providing empirical evidence of the relationship between FinTech, industrial convergence, and rural prosperity, an area previously underexplored. Moreover, the research supports the formulation of targeted policies that encourage the diffusion of digital financial services in rural areas, aiming to enhance the livelihoods of farmers and reduce urban–rural disparities. As such, this approach aligns with national strategies for financial inclusivity and rural revitalization.

안면인식결제가 사용자 저항과 이용의도에 미치는 영향

The modern society is undergoing tremendous changes due to technological innovation. The birth of new technologies such as artificial intelligence (AI), Internet of Things (IoT), big data, and cloud computing marks the beginning of the fourth industrial revolution. Various new industries are rapidly emerging as information and communication technology (ICT), artificial intelligence, big data, and other new technologies such as the Internet of Things are combined. Fintech is a technology that is attracting attention as new technologies and the financial industry merge. The concept of Fintech was born through the convergence of financial industry and information and communication technology by governments of all countries around the world and continuous innovation. Fintech is an innovation in the financial industly that uses new technologies. Use aiiificial intelligence, big data, cloud computing, the Internet of Things and other modern science and technology achievements to reform financial products, business models and business procedures. One of the most basic tasks in financial business is payment service. The development and introduction of new technologies has changed the way people pay. One of the notable fields in payment service is face recognition payment. Face recognition is being used in various fields due to its high accuracy and low invasiveness. Facial recognition payment is a technology that uses computer vision. It uses computers to mimic human vision, allowing computers to analyze images. It is a technology that implements identity authentication based on personal facial feature information. The purpose of this study is to analyze the effect relationship of facial recognition payment on usage intention. For basic statistical analysis of the questionnaire, SPSS 23.0, a statistical package, was used. For hypothesis testing, concentrated validity and discriminant validity were verified using the structural equation package Smart PLS 4.0. Infmmation technology factors that dete1mine face recognition payment were divided into system characteristics and user characteristics. A summary of the study follows. First, The system characteristics of the face recognition payment service were partially adopted for user resistance. Second, the user characteristics of face recognition payment had a significant effect on user resistance. Third, user resistance had a significant effect on intention to use.

Industrial revolution and smart farming: a critical analysis of research components in Industry 4.0

PurposeThe domains of Industry 4.0 and Smart Farming encompass the application of digitization, automation, and data-driven decision-making principles to revolutionize conventional sectors. The intersection of these two fields has numerous opportunities for industry, society, science, technology and research. Relatively, this intersection is new, and still, many grey areas need to be identified. This research is a step toward identifying research areas and current trends.Design/methodology/approachThe present study examines prevailing research patterns and prospective research prospects within Industry 4.0 and Smart Farming. This is accomplished by utilizing the Latent Dirichlet Allocation (LDA) methodology applied to the data procured from the Scopus database.FindingsBy examining the available literature extensively, the researchers have successfully discovered and developed three separate research questions. The questions mentioned above were afterward examined with great attention to detail after using LDA on the dataset. The paper highlights a notable finding on the lack of existing scholarly research in the examined combined field. The existing database consists of a restricted collection of 51 scholarly papers. Nevertheless, the forthcoming terrain harbors immense possibilities for exploration and offers a plethora of prospects for additional investigation and cerebral evaluation.Research limitations/implicationsThis study examines the Industrial Revolution's and Smart Farming's practical effects, focusing on Industry 4.0 research. The proposed method could help agricultural practitioners implement Industry 4.0 technology. It could additionally counsel technology developers on innovation and ease technology transfer. Research on regulatory frameworks, incentive programs and resource conservation may help policymakers and government agencies.Practical implicationsThe paper proposes that the incorporation of Industry 4.0 technology into agricultural operations can enhance efficiency, production and sustainability. Furthermore, it highlights the significance of creating user-friendly solutions specifically tailored for farmers and companies. The study indicates that the implementation of supportive legislative frameworks, incentive programmes and resource conservation methods might encourage the adoption of smart agricultural technologies, resulting in the adoption of more sustainable practices.Social implicationsThis study examines the Industrial Revolution's and Smart Farming's practical effects, focusing on Industry 4.0 research. The proposed method could help agricultural practitioners implement Industry 4.0 technology. It could additionally counsel technology developers on innovation and ease technology transfer. Research on regulatory frameworks, incentive programs and resource conservation may help policymakers and government agencies.Originality/valueBased on a thorough examination of existing literature, it has been established that there is a lack of research specifically focusing on the convergence of Industry 4.0 and Smart Farming. However, notable progress has been achieved in the field of seclusion. To date, the provided dataset has not been subjected to analysis using the LDA technique by any researcher.

2023 PESA business environment review

In 2023, the world faced increased local and global headwinds in achieving the goal of net zero emissions by 2050 due to geopolitical factors, global economic variables, advancing technology, and evolving policies and regulations. Despite a 22% rise in global investments for renewable energy, the world fell short of the 76% required for a Net Zero Emissions Pathway by 2050. There was a collective return to fossil fuels, particularly natural gas and liquefied natural gas (LNG), to meet the demand for secure and affordable energy amid global energy supply shocks. As a result of sustained elevated energy prices governments and energy companies are having to consider all three elements of the energy trilemma – affordability, sustainability, and security – in a more balanced way. The energy industry responded to these challenges by increasing investments in gas-oriented resources and the emergence of investments into the critical minerals value chain, indicating a historic convergence of multiple industries to address the global energy transition. Investment in new energy technologies to support decarbonisation continued, albeit at a slower pace than required. The energy transition also accelerated the decommissioning responsibilities of upstream energy producers for their mature infrastructure assets. As Australia and other countries globally, strive to deliver on net zero ambitions, the oil and gas sector continues to grapple with the delicate balancing act of providing reliable, affordable, secure and sustainable sources of energy, which only continues to emphasise the need for fossil fuels during this energy transition.

Surviving Industry Convergence: Ambidexterity via Internal Development, Alliances and Acquisitions

AbstractIndustry convergence (IC), the blurring of boundaries between previously separate industries, is a pervasive phenomenon. The emergence of new products, resources and competitors as a result of IC poses a threat to firm survival. Importantly, IC differs from other contexts of technological change that bear their origin in an emerging technology that may substitute or make obsolete an existing technology. Yet, little is known about how firms may survive IC. We theorize that the degrees to which firms explore or exploit using their growth modes (i.e. internal development, alliances and acquisitions) by emphasizing an ambidextrous posture may affect their likelihood of survival. We hypothesize that a high degree of exploration in internal development and alliances and a high degree of exploitation in acquisitions positively affect the likelihood of firm survival. Our hypotheses received strong support in a sample of 231 firms from a period of IC between the telecommunication equipment and data networking industries between 1989 and 2003. Our study opens a new research frontier on IC by proposing a novel theoretical approach based on examining the ambidexterity within and across growth modes to better understand firm outcomes during IC. It also contributes to research on growth modes.

The role of information industry convergence in energy transition

To cope with global climate risks, promoting energy transformation has become a global consensus. China issued a reform policy in 2010 to promote the convergence of the three major information industries, namely broadcasting and television networks, telecommunications networks and the Internet (TPR policy). However, is the convergence of information industries able to promote energy transition? This study constructs a quasi-natural experimental framework using China's TPR policy as a representative case of industrial convergence. Using city-level panel data between 2003 and 2016 in China and a multi-period difference-in-differences model, this study examines the impact of TPR policy on energy transition. The results show that TPR policy positively contributes to energy transition at a 1% significance level. Extensive robustness tests support this finding. This positive effect is particularly evident in regions with less developed communications infrastructure and stricter environmental regulations. Mechanism analysis suggests that TPR policy promotes energy transition by improving the level of information networks, promoting technological innovation, and optimizing industrial structure. The findings of this paper emphasize the importance of information industry convergence in facilitating energy transformation.

Predicting Cyber Security Threats in The Digital Age: A Systematic Review and Analysis

Insider threats pose a significant challenge in securing today's digital economy, particularly within the convergence of Critical Infrastructure (CI) and Industry 4.0 applications. This study examines current trends, challenges, and algorithms for detecting and predicting insider threats. We analyse key issues such as data non-stationarity and collusion attacks. The paper proposes a model to address these challenges and evaluates its effectiveness. While the initial results show a 66% accuracy in terms of False Positive Rate (FPR), the study recommends doubling the training data size to further enhance the model's prediction accuracy. This research contributes to improved security solutions for safeguarding critical infrastructure in the era of Industry 4.0. In today's digital world, even simple mistakes when using online systems can lead to cyberattacks with serious consequences. These consequences can include damage to an organization's reputation, financial losses, and disruptions to daily operations. This problem is especially concerning in developing countries. Researchers tackled this issue by building a machine learning model that predicts who might fall victim to cyberattacks. The model analyses social and economic data to identify key factors that make someone more susceptible. This model achieved a high level of accuracy by utilizing a sophisticated machine learning technique combined with an algorithm that discovers hidden patterns in data. To train the model, researchers collected information from both victims and those who haven't been attacked. They then employed a special technique to expand the data available for training, ultimately generating valuable insights that can help predict cyberattacks and the associated risks.

The coupling and coordination of digital economy and manufacturing transformation and upgrading for industry 5.0 in Hebei Province

In the context of the widespread application of digital technologies such as the Internet, big data, artificial intelligence, and cloud computing, digital transformation in the manufacturing sector has become an important engine to promote high-quality economic development in Hebei Province. This paper aims to objectively analyze the current situation of industrial integration between the Beijing-Tianjin-Hebei digital economy and the manufacturing industry and conduct level measurement so as to promote the in-depth integration and development of the digital economy and manufacturing industry in Hebei Province, so that the manufacturing enterprises in Hebei Province can rebuild their competitive advantages in future development, finally realize digital transformation, and promote the high-quality development of the manufacturing industry in Hebei Province. Therefore, it is very important to carry out empirical research on the integrated development of the digital economy and manufacturing industry in Hebei Province. First of all, this paper constructs the index evaluation system of the digital economy and manufacturing industry, respectively, takes the relevant data of the Beijing-Tianjin-Hebei region in the past five years as data samples, uses the entropy weight-TOPSIS method to measure the level of digital economy development and manufacturing industry transformation, and uses the coupling coordination degree model to measure the level of industrial integration of the two. The final results show that: (1) The development level of the digital economy in Hebei Province fluctuates greatly, and there is still a certain gap with Beijing and Tianjin, but the future development potential of the digital economy is huge. (2) The transformation level of manufacturing industry in Hebei Province shows a trend of fluctuation and rise on the whole, and the development trend is good, and the gap between Hebei Province and developed regions is gradually narrowing. (3) The integration of the digital economy and manufacturing industry in Hebei Province has a good development trend, but there is still a certain gap with Beijing and Tianjin, and there are problems of inadequate, unstable, and unbalanced industrial integration. Finally, based on the research conclusions, suggestions are put forward to promote the coordinated development of the Beijing-Tianjin-Hebei region, improve the level of digital economy and manufacturing integration of industrial convergence development, raise the level of digital infrastructure construction, and raise the level of science and technology innovation. This paper reveals the mechanism of the digital economy affecting the high-quality development of the manufacturing industry, studies the whole process of digitalization, information technology, and intelligence integration into the development of the manufacturing industry, and fully releases the positive effect of the digital economy driving the high-quality development of the manufacturing industry, which has important theoretical and practical significance for promoting the high-quality development of the manufacturing industry and formulating relevant industrial policies.

The coupling and coordination of digital economy and manufacturing transformation and upgrading for industry 5.0 in Hebei Province

In the context of the widespread application of digital technologies such as the Internet, big data, artificial intelligence, and cloud computing, digital transformation in the manufacturing sector has become an important engine to promote high-quality economic development in Hebei Province. This paper aims to objectively analyze the current situation of industrial integration between the Beijing-Tianjin-Hebei digital economy and the manufacturing industry, and conduct level measurement, so as to promote the in-depth integration and development of the digital economy and manufacturing industry in Hebei Province, so that the manufacturing enterprises in Hebei Province can rebuild their competitive advantages in the future development, finally realize digital transformation, and promote the high-quality development of the manufacturing industry in Hebei Province. Therefore, it is very important to carry out empirical research on the integrated development of digital economy and manufacturing industry in Hebei Province. First of all, this paper constructs the index evaluation system of digital economy and manufacturing industry respectively, takes the relevant data of Beijing-Tianjin-Hebei region in recent five years as data samples, uses entropy weight-TOPSIS method to measure the level of digital economy development and manufacturing industry transformation, and uses the coupling coordination degree model to measure the level of industrial integration of the two. The final results show that: (1) The development level of digital economy in Hebei Province fluctuates greatly, and there is still a certain gap with Beijing and Tianjin, but the future development potential of digital economy is huge. (2) The transformation level of manufacturing industry in Hebei Province shows a trend of fluctuation and rise on the whole, and the development trend is good, and the gap between Hebei Province and developed regions is gradually narrowing. (3) The integration of digital economy and manufacturing industry in Hebei Province has a good development trend, but there is still a certain gap with Beijing and Tianjin, and there are problems of inadequate, unstable and unbalanced industrial integration. Finally, based on the research conclusions, suggestions are put forward to promote the coordinated development of Beijing-Tianjin-Hebei region, improve the level of digital economy and manufacturing integration of industrial convergence development, raise the level of digital infrastructure construction, and raise the level of science and technology innovation. This paper reveals the mechanism of digital economy affecting the high-quality development of manufacturing industry, studies the whole process of digitalization, information technology and intelligence integration into the development of manufacturing industry, and fully releases the positive effect of digital economy driving the high-quality development of manufacturing industry, which has important theoretical and practical significance for promoting the high-quality development of manufacturing industry and formulating relevant industrial policies.