Industrial Subsectors Research Articles

Kontribusi Industri Nasional Terhadap Pembangunan Di Indonesia

This research falls into the qualitative descriptive category using primary and secondary data in order to analyze the development of manufacturing industry in Indonesia which tends to deindustrialization, whereas the manufacturing industry has a big contribution to the Gross Domestic Product, the absorption of employment, the income tax and the foreign exchange, the creation Value added, and technology transfer. The results of the research show that in order to create a tough industry in 2035, a strong foundation is required, and an inclusive transformation of Indonesia's economy in the manufacturing industry through the use of added value natural resources, the readiness of human resources and the supply of energy from renewable sources. The industry structure that Indonesia needs is an industry that has strong and synergistic links between industrial sub-sectors and with various other economic sectors, has high local content, can grow sustainably, and has resistance to the world economic turmoil.

Utilization of foreign investment in the productive service industry in Hubei province, China and its optimization counter-measures.

The Global Investment Report 2023 revealed that after a sharp decline in 2020 and a strong rebound in 2021, global foreign direct investment (FDI) declined by 12 percent to $1.3 trillion in 2022. However, in developing countries, FDI increased by 4% to $916 billion, a record share of more than 70% of global flows. The number of greenfield investment projects in developing countries increased by 37 percent and international project finance transactions by 5 percent. Foreign investment from China, the second largest recipient of foreign investment globally, increased by 5 percent. The service industry has become the mainstream industry in the global FDI structure. The global industry is accelerating its transformation to a "service-based economy," international FDI in productive service industries has become an essential means of industrial transfer in developed countries and a meaningful way to upgrade the industrial structure and high-quality development in emerging economies. As a representative province in central China, Hubei Province has unique advantages in human capital, factor cost, and market potential, which provide preferential conditions to attract foreign investment. This paper first introduced the concept of the productive service industry, based on the relevant statistical data from 2011 to 2022, focused on the current situation of foreign investment utilization in five major sub-sectors of the productive service industry in Hubei Province in the past ten years, and empirically investigated the impact of foreign investment utilization in five major sub-sectors of the productive service industry on the economic growth of Hubei Province, and obtained that the level of foreign investment attraction varied significantly among the regions in Hubei Province. The three productive service industries, namely transportation, storage and postal services, information transmission, software and information technology services, and financial services, played a significant role in the active attraction and optimal utilization of foreign capital and the economic development of Hubei Province. Based on this, it was proposed to build a market-oriented rule of law and internationalized business environment, improve the infrastructure construction in different regions of the province, focus on the training of professional talents for the development of productive service industries, and pay attention to the improvement of independent innovation capacity.

Innovation Roadblocks: Micro, Small, and Medium Enterprises in Indonesian Batik Design Collaborations

The handicraft industry in Indonesia is one of the three subsectors that contribute significantly to the country’s GDP. Among other creative industry subsectors, handicrafts (particularly the Batik industry in this case) have the highest labor force multiplier. Despite MSMEs contributing 60% to the national GDP, the productivity of micro enterprises is still much lower than that of small and medium enterprises. This issue of low micro-scale productivity may be attributed to the lack of skills and human resource development, as well as ineffective management of government assistance for MSMEs. The batik craft industry, which has received recognition from UNESCO, is predominantly composed of micro-scale enterprises. Therefore, it is crucial to identify the factors that hinder the development of designs among micro-scale batik MSMEs. The purpose of this study is to identify the factors that hinder collaboration in the development of micro-scale batik MSME designs. The study uses an interview method with snowball sampling techniques, focusing on East Java, the Special Region (Daerah Istimewa, DI) of Yogyakarta, and East Kalimantan Provinces in Indonesia. The results reveal several factors that hinder design innovation in micro-scale batik MSMEs in these regions. The most influential factors are strategic, structural, human resources, market-related, government-related, and community-related issues. Internal factors include limited capital, minimal design knowledge, education, and work experience, while external factors include insufficient government training facilities, a lack of understanding of consumer preferences, and competition with other batik artists due to similarities in motif designs.

Forecasting the energy demand and CO2 emissions of industrial sectors in China's Beijing-Tianjin-Hebei region under energy transition.

As the world's greatest energy consumer, China's energy consumption and transition have become a focus of attention. The most significant location for regional integration in the north of China is the Beijing-Tianjin-Hebei region, where the industrial sector dominates its energy consumption. Forecasting the energy demand and structure of industrial sectors in China's Beijing-Tianjin-Hebei region may help to promote the energy transition and CO2 emission mitigation. This study conducts a model based on the year 2020 using the Long-Range Energy Alternatives Planning System (LEAP) software and sets two scenarios (baseline scenario and emission peak scenario) to forecast the future energy demand and CO2 emissions of industrial sectors in China's Beijing-Tianjin-Hebei region until the year 2035. Moreover, the industrial sectors are classified into traditional high-energy-consuming industries, emerging manufacturing industries, daily-related light industries, and other industries. The forecasting results show that (1) The industrial energy demand of the entire Beijing-Tianjin-Hebei region will grow from 234 Mtce in 2020 to 317 Mtce in 2035, and the corresponding energy structure will shift from coal-based to electricity-based; (2) at the provincial level, all three provinces will experience an increase in industrial energy demand between 2020 and 2035, with Hebei experiencing the fastest average annual growth rate of 2.18% and the largest share of over 80%, and Beijing experiencing the highest average annual electrification rate of 70%; (3) at the industrial sector level, the electricity and natural gas will gradually replace other energy sources as the main energy source for industry. The most representative industrial sub-sector in Beijing, Tianjin, and Hebei provinces are all traditional high-energy-consuming industries, which will account for more than 90% of the total energy demand in both Tianjin and Hebei by 2035.

The Strategy of Growing the Rubber Processing Industry Subsector as a Competitive Agro Industry Commodity for the Regional Economy of Jambi Province

The growth of the processing industrial sector in Jambi province shows a decline, where the contribution of the industrial sector is quite worrying considering that the industrial sector is expected to play a role in encouraging economic growth, alleviating poverty, and creating jobs to reduce the high level of unemployment. Regional industrial development efforts mean that each region has superior commodities that illustrate the region's potential or ability to produce products, create added value, utilize resources, provide employment opportunities, generate income for the community and local government, and have prospects for increasing productivity and investment. The decline in contribution and the relatively small growth of industry must receive special attention from the government to encourage the industry again and prevent deindustrialization Jambi Province is the fourth largest rubber-producing region in the country, after South Sumatra, North Sumatra, and Riau. In 2021, land use in Jambi Province will still be dominated by plantation commodities with a contribution of 21.3 percent. Rubber production in Jambi will be 310 thousand tons in 2021. In 2021, the number of rubber farmers in Jambi Province will be 154,834 people, (National Leading Plantation Statistics, 2019-2021) this research aims to analyze the determinants of growth and development of the rubber processing industry subsector as a competitive agro-industry commodity for the regional economy of Jambi Province and to analyze the competitiveness of the rubber processing industry sub-sector as an agro-industry commodity for the regional economy of Jambi Province and its growth strategy. The analytical tools used to analyze the determinants of growth and development of the rubber processing industry subsector in the Jambi area are the Simultaneous Equation Model, Simple Regression, Revealed Comparative Advantage (RCA), and the Analytical Network Process (ANP) Method

A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing

The purpose of this paper is to analyse the use of machine learning in smart manufacturing, describing techniques, technologies, industries, and purposes associated with industrial applications. We conducted a systematic literature review using Scopus, in which 26,032 documents were found. After applying quality criteria, 107 articles were analysed. The main findings show that machinery was the industry subsector with the major implementations regarding machine learning; process improvement is the main concern (interest) of all implementations; random forest was the most specific machine learning technique used; and diverse technologies associated with this context were identified such as: the industrial internet of things, digital twin, sensor technologies (soft, optical, barometric, ultrasonic), software technologies (Python, MATLAB, LabView, Google AutoML Platform) and equipment technologies (robotic, PLC, CNC). Most fault detection machine learning applications were focused on predictive maintenance, specifically in mechanical equipment (bearings, machines in general, and assembly lines). This study presents a novel taxonomy that identifies 85 specific machine-learning techniques used in smart manufacturing.

PENGARUH FREE CASH FLOW, PROFITABILITAS, LIKUIDITAS DAN LEVERAGE TERHADAP KEBIJAKAN DIVIDEN PADA PERUSAHAAN SUB SEKTOR CONSUMER GOODS INDUSTRY DI INDONESIA PERIODE 2015-2018

Dividend policy is a result of the decision of the amount of profits earned by companies can be divided into dividends or can be replanted (profits received) as investment financing. This study aims to describe the influence of Free Cash Flow (FCF), Return on Investment (ROI), Current Ratio (CR), and Debt to Equity Ratio (DER) in the selection of shares for investment. The method used in this study is linear regression by supporting the independent factors on the dependent variable. The method in selecting samples uses a purposive sampling method and produces 26 companies. The population of this study is the companies in the Consumer Goods Industry sub-sector in the Indonesia Stock Exchange (IDX) for the period January 2015 - December 2018. Free Cash Flow (FCF), Current Ratio (CR), and Debt to Equity Ratio (DER) have a significant effect. While Return on Investment (ROI) does not affect the Dividend Payout Ratio (DPR). Simultaneously, Free Cash Flow (FCF), Current Ratio (CR), Return on Investment (ROI), and Debt to Equity Ratio (DER) related to Dividend Payout Ratio (DPR).

Abating carbon emissions at negative costs: Optimal energy reallocation in China's industry

Industry in China is an essential pillar of the economy and a major source of energy consumption and carbon emissions. Energy misallocation across industrial sectors exacerbates energy consumption and carbon emissions. This study uses stochastic frontier analysis (SFA) to estimate the contribution and efficiency of capital, labor, and energy inputs to China's production between 2010 and 2020. Under the assumption of optimal allocation in a perfectly competitive market, we estimated the optimal energy input using the SFA results. The counterfactual results demonstrated considerable potential for energy savings, carbon abatement, and production increase under synergistic governance. According to the estimation, China's industry could save 4–24% of its energy input. The energy allocation adjustment varies across industry subsectors. Specifically, heavy industries have tremendous energy-saving potential, whereas the power production and supply subsectors require more energy. The overall energy conservation would have a synergistic effect of 0.3 to 1.4 billion tons of carbon reduction along with an extra 3.26 and 6.52 trillion Yuan output value. Such reallocation would also have the co-benefit of transforming the industry's energy mix, specifically, reducing its dependence on coal while increasing the share of electricity, which are both very critical in the process of carbon neutrality. The government could apply this method to guide the synergistic governance of industrial energy savings, carbon reduction, and production.

Profitability Affection on Determinant Factor of Firm Value with Corporate Social Responsibility (CSR) as Moderating

The research to analyze the effect of profitability on determination factor of firm value with CSR as moderating variable. The population is all Companies in the Food and Beverage Industry Sub-Sector that are Registered at the IDX for the 2014 - 2021, while the sample is determined by purposive sampling, obtained 35 company. Structural Equation Modeling (SEM) is used to analyze the regression equation model between the data variable. The results of hypothesis testing indicate that firm value can be manifested through optimal management of profitability and Good Corporate Governance (GCG). Profitability can be applied through the size of the company. GCG had direct effect on firm value, while company size had direct affect to profitability. GCG had affect to profitability and a significant direct effect on firm value. CSR as a pure moderator of the effect of profitability on firm value.

Formation of priority points of industrial growth under sanctions pressure as a direction of techno-economy development

Aim. To determine the priority points of industry growth in the Russian Federation (RF) as an instrument of techno-economy development in the conditions of unstable external environment and sanctions pressure.Objectives. To substantiate the necessity of developing own technologies in industry in the turbulent macroeconomic environment; to identify the leading industries of the Russian Federation on the basis of comparative analysis; to analyze the possibility of network effect in the development of industry growth points; to determine the relationship between external sanctions pressure on priority industries and the specifics of the development of these industries-growth points.Methods. Theoretical and methodological generalizations were made using general methods of economic analysis: historical and logical, monographic and abstraction methods. In the practical component of the research economic and mathematical modeling, correlation and regression analysis technologies, matrix approach were used.Results. The development of such a direction as technoeconomics during the period of sanctions pressure allows industries to adapt to new conditions. In the process of analysis the main points of growth for the industrial sector of the Russian Federation were identified: production of medicines and materials used for medical purposes; production of computers, electronic and optical products, machinery and equipment. The high value of links within each industry and, accordingly, the possibility of the network effect was determined. Models reflecting the relationship between the functioning of industry growth points and the factors of industry development during the period of sanctions pressure were built.Conclusions. Today it is necessary to invest in the innovative potential of individual sub-sectors of industry (growth points) and develop industries that support the functioning of techno-economy and contribute to the formation of the network effect. Industries of this type have an additional positive impact on the development of the economy and contribute to the acceleration of adaptation processes, increase the productivity of industries in the turbulence of the external environment and sanctions pressure.

A Novel Approach towards Assessing the Impact of Air Quality and Major Public Health Emergencies on Light Industry: A Multiscale Investigation towards Improving the Risk Prevention System

Measuring the systemic impact of major public health emergencies on the light industry and preventing various uncertain future external risks have become the key challenges to ensuring the stability of the light industry. This paper takes the occurrence of major public health emergencies as the background and focuses on environmental issues such as air pollution and indoor air quality degradation during emergencies. And to explore the multiscale impact of major public health emergencies on the light industry, typical light industry subsectors, and light industry enterprises. The findings of our study reveal that major public health emergencies have a negative impact on the light industry, particularly in the form of a short-term decline in exports, which tends to converge in the long run. Further, it is also revealed that there is heterogeneity in the impact on environmentally sensitive industries, labor-intensive industries, and others. At the microfirm level, major public health emergencies have shown a negative effect, especially the recent pandemic, which has a longer duration and a wider reach. Through multiscale research, this paper provides policy suggestions to improve the macrogovernance mechanism and risk prevention system for the light industry.

Competitive Strategies on Organizational Growth of Manufacturing Firms in Kenya

Relationship between competitive strategies and organizational growth of manufacturing firms has gain credence globally. Manufacturing firms Japan has recorded greater success in manufacturing sector globally due to their ability to adopt various competitive strategies that has aided them to achieved sustained competitive advantage. However, manufacturing industry in Kenya has experienced decline over the last five years. Manufacturing sector GDP contribution in Kenya has reduced in 2016 first quarter to KES 118,134 from KES 113,460 million 2016 second quarter. Therefore, this study sought to examine the influence of effect of competitive strategies on the organizational growth of manufacturing firms in Kenya. The specific objective was to examine the influence of cost leadership strategy on organizational growth among manufacturing firms in Kenya, to examine influence of differentiation strategy on organizational growth among manufacturing firms in Kenya, to examine influence of focus strategy on organizational growth among manufacturing firms in Kenya and to examine influence of product innovation strategy on organizational growth among manufacturing firms in Kenya. The study was guided by generic strategy theory, competitive advantage theory, resource based view theory, open systems theory and organizational growth theory. Survey research design was used covering a stratified sample of 189 firms drawn from the 454 manufacturing firms distributed across the 12 key industrial sub-sectors. The researcher used multi-stage sampling technique. In the first instance, stratified sampling technique was used to classify each of the 12 sub-sectors into individual strata. The sample then selected using simple random sampling technique from each of the stratum. Questionnaires were used to collect data. The statistics generated was descriptive statistics which included frequencies and percentages and inferential statistics which included a multiple linear regression. A multiple linear regression model was used to show the relationship between the dependent and independent variables. A pilot study was conducted in order to establish the validity and reliability of the questionnaire. In this study, the questionnaire was tested on 10% of the sample to ensure that it is relevant and effective. The subjects participating in the pilot study included in the final study to avoid survey fatigue. From the study findings, majority of the respondents agreed that competitive strategies are implemented by manufacturing firms in Kenya in which cost leadership strategy and differentiation strategy was mostly implemented. The study revealed that cost leadership strategy had a strong positive correlation with organizational growth. The study established that differentiation strategy plays a significant role on organizational growth. The regression analysis results indicated that differentiation strategy had a statistically significant influence on the organizational growth. The study established that focus strategy had a significantly strong positive relationship with the organizational growth, since a unit improvement in the product innovation strategy was likely to result to an improvement in the organizational growth. The regression analysis results indicated that product innovation strategy had a statistically significant influence on the organizational growth. The study also concluded that all the independent variables (cost leadership strategy, differentiation strategy, focus strategy and product innovation strategy contribute significantly to organizational growth. Based on the findings, study recommended that manufacturing firms do adopt the use of differentiation strategy in their business processes. Managers should focus on good cost management practices in addition to setting low interest rates to derive competitiveness.

Estimating production functions to determine the marginal economic value and price elasticity of water in the Chilean industrial sector

This study determines the marginal economic value of water and the price elasticity of demand for this resource using data from the 2018 Annual National Industrial Survey. Specifically, a translog production function is estimated with the ordinary least squares (OLS), constrained least squares (CLS), and instrumental variables (IV) methods, CLS being the method with the best results. Based on the estimates of the production function at the national level, it is determined that, on average, the marginal value of water is 14.6 USD/m3. Finally, the price elasticity of water demand varies between −0.8 and −1.2 depending on the industrial subsector.

Market of Finishing and Thermal Insulation Materials in 2023

The 15th annual conference of the Construction Information company took place in St. Petersburg on October 12–13, 2023. More than 120 representatives from 72 organizations from three countries took part in its work – commercial directors, heads of marketing departments, dealer centers, supply and sales specialists. Traditionally, the conference examines the results of the work of the Russian construction complex as a whole over the past year, as well as a number of sub-sectors of the building materials industry. The main results of the work of the industry of dry building mixtures, gypsum finishing materials, mineral and polymer-based thermal insulation materials, facade systems, paint and varnish materials, voiced in the reports of conference participants, are presented. The forecast for the development of these sub-sectors for the short term is also shown.

Green total-factor energy efficiency and its convergence of industrial sub-sectors in China.

Existing literature ignores to consider multiple types of pollutants when analyzing energy efficiency and its convergence. Under this background, using SuperSBM-GML model, the improved entropy method, and convergence model, this paper calculates the green total-factor energy efficiency and its evolution trend of 35 China's industrial sub-sectors considering multiple pollutants, and analyzes its convergence. The results indicate that the average score of industrial green total-factor energy efficiency is low, and there are significant differences among sub-sectors: "Utilization of waste resources" is the highest, while "Manufacture of paper and paper products" is the lowest. The green total-factor energy efficiency shows an overall upward trend from 2006 to 2021, the main driving force comes from technological progress, but numerous sub-sectors have not sufficiently caught up with existing cutting-edge technologies. Specifically, the growth rate of green total-factor energy efficiency in high-energy-consumption sub-sectors is higher than low-to-medium-energy-consumption sub-sectors. There are both σ-convergence and β-convergence in low-to-medium-energy-consumption group, indicating that development of sub-sectors is stable and outstanding. Nevertheless, the high-energy-consumption group only exhibits conditional β-convergence, revealing an imbalance in energy efficiency development. Consequently, formulating the benchmark level of energy efficiency and developing energy efficiency "leader" system are suggested for low-to-medium and high-energy-consumption sub-sectors, respectively.

Analisis Kinerja Keuangan Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia Pada Masa Pandemi Covid-19

This study aims to investigate whether there are differences in the company's financial performance before and during the Covid-19 Pandemic and to find out the strategies taken by the company to survive during the Covid-19 Pandemic. This research was conducted at food and beverage industry sub-sector manufacturing companies listed on the Indonesia Stock Exchange from 2018-2020. The results showed that financial performance based on the current ratio had an average growth rate of 0.24 which means the company experienced an increase in liquidity even though it was affected by the pandemic. The average growth based on the debt to equity ratio is 30.22%, where the low ratio indicates that the company's debt is smaller than the amount of its assets. While the growth based on total asset turnover is -0.24, this explains that the assets owned by the company cannot be used to make a profit, which means that the company is currently experiencing difficulties in using all of its assets to generate sales. Based on the return on assets, the average growth is 0.24 this means that the company's management has not been able to use assets to generate maximum income

Level up the Business Performance: Contribution of Human Capital, Penta Helix and Survival Strategies in Creative Economy

The culinary industry is increasingly stretched in Indonesia, it is predicted that the culinary industry is one of the pillars in the creative industry. The culinary industry sub-sector is growing due to cultural and lifestyle shifts, as well as technological developments as one of the factors that determine the success or failure of a culinary business in the digital era that shifts from offline to online. Under that circumstances, culinary business actors must implement survival strategies to strive in this business. This study aims to examine the concepts of Penta Helix and Human Capital in utilizing the survival strategies in which contribute to the business performance in the culinary sub-sector of creative economy. Since the use of IoT has become viral in level up the business performance, culinary business actors who implement online selling has been the main concern of this research. The population in this study was all managers/owners of the Surabaya Culinary creative industry in collaboration with online delivery services (shopee food, go-food and grab food), with a sample of 68 respondents. The data analysis technique used the Partial Least Sequare (PLS). Based on the results of data processing, it was found that 1) Penta Helix has not yet been able to make a meaningful contribution to Culinary Business Performance 2) Human Capital is able to make a meaningful contribution to business performance at the opposite level. 3) Penta Helix is able to make a meaningful contribution to culinary survival strategies. 4) Human Capital is able to make a meaningful contribution to culinary business survival strategies. 5) survival strategies has a meaningful contribution to business performance on the opposite level.

Six Decades of Consolidation in the European Defence Industry (1960-2022)

In the present security environment, the capabilities of the European defense industry and the impact of restructuring over the years have become issues of concern. Researchers have found considerable consolidation when looking at the overall industry, but have failed to consider that this might understate the loss of national capabilities in subsectors. This article investigates the effect that restructuring has had on twenty subsectors of the defense industry in thirty one European countries from 1960 to 2022. It finds that since the 1960s, the number of major European defense firms has contracted by between 29% and 80% across subsectors, implying the loss of a range of capabilities. It suggests that while Europeanization is inevitable, it is likely be accompanied by further diminishing capabilities at the national level.

Role of climate finance beyond renewables: hard-to-abate sectors

This paper investigates the role of climate finance for hard-to-abate sectors in developing countries. It focuses on international transport, heavy industries and greenhouse gas removal technologies. The research is conducted in two parts: firstly, qualitative documentary-based secondary analysis through evidence reviews of the academic literature, landscape reviews of existing Funds in multilateral organisations, and legal reviews of OECD DAC Codes were undertaken to determine the degree of academic literature and practitioner activities on climate finance for hard-to-abate sectors, and the aid-eligibility of these groups of sectors; secondly, qualitative primary research is undertaken using the Delphi technique to identify the applicability of pull mechanisms previously undertaken for vaccine development to industrial decarbonisation in developing countries, analysing a case study of the applicability of an Advance Market Commitment (AMC) for cement decarbonisation in India. The outputs from the first part of the analysis produced a theoretical and conceptual framework for mapping the impacts of decarbonising hard-to-abate sectors against the Sustainable Development Goals and three common goals of climate finance-badged Official Development Assistance (ODA): economic development, poverty reduction and climate action. The paper finds that industrial decarbonisation is ODA-eligible, decarbonising international transport is only ODA-eligible in very specific applications in relation to poorer local communities surrounding airports and ports, and the theory of change for the ODA-eligibility of greenhouse gas removals is weak. The outputs from the second part of the analysis found that an AMC’s design needs to act as a large enough incentive (marked by the size of the funding committed to the AMC) and remain credible (through credible funding sources and transparent and trustworthy relationships between the actors involved), which are influenced by the type of actors involved, as well as their relationships, and that the process design needs to be tailored to the specific context of the industrial sub-sector and country. The paper argues for a greater role of pull mechanisms, such as AMCs, to address deep decarbonisation challenges in heavy industries in developing countries, and that (ODA-badged) climate finance can help to facilitate this.

Can digital-real integration promote industrial green transformation: Fresh evidence from China's industrial sector

China is actively advancing the integration of digital and real industrial economies, fostering a mutually beneficial cycle that could potentially drive new momentum for eco-friendly industrial development. The empowering effect of digital-real integration on industrial green transformation (IGT) requires urgent exploration. Based on China's industrial sector panel data from 2010 to 2020, this paper empirically investigates the relationship between digital-real integration and IGT and delves into its internal mechanism to verify the above hypothesis. Meanwhile, it analyzes the heterogeneous effects of digital-real integration on IGT, considering variations in industrial technology levels and the sources of such integration. The results demonstrate a positive impact of digital-real integration on IGT in China. The green technology and scale effects play pivotal roles in unleashing the green benefits of digital-real integration in the industrial sector. Notably, the contribution of digital-real integration to IGT varies across industrial subsectors with distinct technology levels. There is heterogeneity in the enabling effect of digital-real integration from different sources on IGT, and the integration of digital services and the real industrial economy has yet to achieve the expected green benefits. Our findings provide new scientific evidence for managers and policymakers in developing countries like China to promote industrial digitization and sustainable growth. This work informs the future discussion on digital-real integration topics from a global context.