Industrial Technological Innovation Research Articles

Impact of Service Quality, Pricing Strategies, User Trust, and Technological Innovation in Indonesia's Online Transportation Services Industry

This study investigates the impact of service quality, pricing strategies, user trust, and technological innovation on customer satisfaction in Indonesia's online transportation services industry. Using a sample of 400 respondents, the research employs regression analysis to identify the relationships between these variables. The findings reveal that service quality is the most significant predictor of customer satisfaction, followed by user trust, pricing strategies, and technological innovation. The results highlight the interrelated nature of these factors, suggesting that improvements in one area can positively influence the others. The study underscores the importance of maintaining high service standards, establishing user trust, implementing effective pricing strategies, and leveraging technological advancements to enhance customer satisfaction. These insights provide valuable implications for practitioners aiming to optimize user experiences and foster loyalty in a competitive market.

Unveiling the nonlinear drivers of urban land resources on carbon emissions: The mediating role of industrial upgrading and technological innovation

As cities continue to develop, land resources play a pivotal role in the pursuit of sustainable urban development. However, the impact and mechanisms of land resources on reducing emissions remain unclear. Therefore, our study employs an ensemble learning model within a Monte Carlo Simulation framework to explore the nonlinear relationship between land resources and carbon emissions. Additionally, we utilize a fixed effects model to identify the mechanisms of impact. Specifically, industrial and residential land uses are identified as primary drivers of carbon emissions, contributing 17.04 % and 4.75 % of the total variance in emissions, respectively. In contrast, a standard deviation increase in land price leads to a reduction of 4.65 tons in per capita carbon emissions. In addition, industrial upgrading and innovation emerge as critical mediators in promoting carbon reduction. This research contributes to sustainable urban planning and policy-making, offering insights into how strategic land use planning reduces urban carbon footprints.

The impact of green finance on carbon productivity: The mediating effects of the quantity and quality of green innovation

While China's economy is developing rapidly, the problem of carbon emissions is indeed more prominent. The development of green finance is conducive to supporting environmental improvement and enhancing carbon productivity. Most of the existing literature examines the relationship between green innovation and carbon productivity from the perspectives of industrial structure, technological innovation, and economic growth. However, the mechanism by which green finance (GF) affects carbon productivity and whether there is heterogeneity remains unclear. Therefore, this study utilizes panel data from 277 cities from 2010 to 2020 and employs a mediation effect model to investigate the relationship between GF and carbon productivity. The results of the study found that GF has a positive U-shaped association with carbon productivity. The quantity and the quality of green innovation have a mediating effect on the above relationship. It may be due to the fact that GF promotes the green transformation and sustainable development of the economic structure by supporting green industry and technological innovation, which provides strong support to enhance carbon productivity. In non-resource cities, the impact of GF on carbon productivity is more obvious through improving the quality of green innovation, probably because non-resource cities have the advantages of a diversified industrial structure, stronger innovation capacity, and easier access to policy support and market mechanism support than resource cities. The quantity and the quality of green innovation in the eastern, central, and western regions all play a mediating role. The findings provide policymakers with recommendations for utilizing GF in a two-carbon environment to achieve sustainable low-carbon development.

Research on Nanyang City's Industrial Development Based on Statistical Analysis and ARIMA Forecasting

In recent years, Nanyang City has focused on balancing rapid industrial growth with sustainable development by integrating traditional industries with emerging high-tech sectors to enhance competitiveness and reduce environmental impacts. This study examines the industrial development of Nanyang City using statistical analysis and ARIMA forecasting. Key indicators such as GDP, number of enterprises, employees, and industrial pollution were sourced from the Nanyang Statistics Bureau, preprocessed for quality and consistency, and normalized. The ARIMA model, following stationarity tests and optimal parameter identification, predicts a slight GDP decline in 2023 and, a recovery in 2024, but slower growth by 2027. Environmental indicators were evaluated using Pearson correlation coefficients and the Analytic Hierarchy Process, revealing volatility in green development. The study suggests that Nanyang should strengthen industrial chain integration and technological innovation to enhance competitiveness and environmental performance.

Research on the Optimization of Practical Teaching System under the Mode of Integration of Production and Teaching in Institute of Navigation Technology and Industry

Under the background of global economic integration and the rapid development of shipping industry, navigation technology education is facing challenges such as the disconnection between theory and practice and limited practical opportunities. In order to meet these challenges, this paper deeply analyzes the implementation status of the integration mode of production and teaching in Maritime Technology Industry College, and discusses its advantages and disadvantages in personnel training, curriculum system construction, teacher team development, training base construction and teaching quality monitoring. Through the strategies of modular curriculum design, virtual simulation training, enterprise internship opportunities, double-qualified teachers training and diversified evaluation system, this paper puts forward a set of plans to comprehensively optimize the practice teaching system. The program aims to enhance students' practical ability, innovation ability and professional accomplishment, make them better adapt to the needs of the industry, and provide high-quality talent guarantee for the sustainable development of the navigation technology industry. At the same time, this paper also emphasizes the importance of school-enterprise cooperation, and realizes the deep integration and sharing of educational resources and industrial resources through co-construction of curriculum system, teaching staff and training base. Finally, this paper looks forward to the potential contribution of the optimized practical teaching system in improving teaching quality, promoting industrial upgrading and technological innovation.

Internet enterprise management, network structure and network capabilities: Basis for internet industry technology innovation framework

Internet enterprise management, network structure and network capabilities: Basis for internet industry technology innovation framework

Technology innovation and sustainable organizational development in the waste management industry

Despite the global success of various sectors in technological innovation to achieve sustainable organizational development, less is applicable in the waste management industry. Therefore, the current research looks at the effects of technological innovation, and landfill resources on sustainable organizational development. Employed a quantitative approach to investigate how technological innovation affects sustainable organizational development in the waste management industry. Self-administered questionnaires of 280 managing directors of waste management firms in Southwest Nigeria participated in the survey. Before data collection, the survey instrument's validity and reliability were carefully evaluated. The study constructs were validated by exploratory factor analysis which produced the final factor structure. One item of Capacity Development 31 was removed and all items Cronbach's alpha valued. While TI one component was 0.840, LF component was 0.766, component 2 was 0.767, CD was 0.788 and SOD 0.848. These show strong internal consistency and reliability using SPSS 26.0 for the analysis. The relationship between technology adoption and sustainable organizational development for operational effectiveness and environmental sustainability is examined in this study using statistical methodologies. These findings lay the groundwork for further research by delivering insightful information about the variables impacting technology innovation and landfill resources to achieve SOD. The suggested theoretical framework attempts to close the gap between technological innovation, landfill resources and sustainable organizational development by mediating the role of capacity development. Existing research in the area mostly concentrated on other sectors leaving the waste management industry isolated. For business executives looking to maximize sustainability through technology innovation, the report offers insightful information. By incorporating more variables into the social exchange theory. This article emphasizes the value of pilot studies for better research design while also addressing the paucity of literature in the industry and providing a new paradigm for SOD.

How Does Green Bond Issuance Facilitate the Spillover Effect of Green Technology Innovation in Industry? Evidence from China

As the concept of balancing environmental protection and maintaining sustainable economic development has been widely recognized, the green bond is assuming an increasingly significant role within China’s financial market. We utilize the data from China’s A-share listed enterprises that issued bonds in the period 2010 to 2021 and try to examine whether and how green bond issuance facilitates the spillover effect of green technology innovation in industry. The results show that: (1) Green bond issuance can generate a spillover effect, greatly enhancing green technology innovation within the industry. (2) The spillover effect of green technology innovation from green bond issuance within an industry is more pronounced for state-owned enterprises, and relatively weaker for enterprises in Northeast China in the same industry. Relative to non-high-pollution industries, high-pollution industries reinforce the spillover effect. (3) Financing cost and agency cost are important influencing mechanisms for green bond issuance to improve peer enterprises’ level of green technology innovation. Overall, the results provide theoretical support for encouraging the market for green bonds to maintain their development over the long term and for effectively promoting the transformation of the economy and society to a green and low carbon one.

The role of e-commerce demonstration zones in carbon emission reduction: Harmonizing economy and environment

The convergence of economic growth and environmental preservation has become a crucial objective for governments worldwide. As the digital economy helps transform industries, its carbon-reducing effect has been continuously validated. Technological innovation, policy support, and the promotion of trade openness are ways to encourage the greening of the digital economy. Currently, China is vigorously building a national e-commerce demonstration zone (EDZ). Hence, the main purpose of this study is to explore how e-commerce, as an important part of the digital economy, can help reduce carbon emissions (CE). Based on the panel data of 276 prefecture-level cities in China from 2007 to 2019, the empirical results obtained under the difference-in-difference model are that the establishment of EDZs can bring 0.0463 units of reduction in CE. The effect of suppressing CE is more significant for some regions located in the west, with larger city sizes and relatively scarce resource endowments. Distinguishing from the common paths of industrial structure, technological innovation, and optimal allocation of resources, this study also reveals the regulating role of economic openness in the mechanism analysis and finds that increasing foreign direct investment can effectively promote EDZs to reduce CE. The findings of this paper emphasize the practical significance of EDZs for energy saving and emission reduction, promoting green and high-quality development, and provide valuable references for managers and policy makers.

Big data development and agricultural carbon emissions: Exacerbation or suppression? A quasi-natural experiment based on the establishment of the National Big Data Comprehensive Pilot Zone

As a strategic resource, big data has become a key force affecting carbon emission reduction in agriculture. However, its impacts remain controversial, and relevant empirical evidence remains to be explored. Based on quasi-natural experimental analysis, this study explored the impact and mechanism of the construction of the National Big Data Comprehensive Pilot Zone (NBDCPZ) on agricultural carbon emissions (ACE) in China and adopted a difference-in-difference (DID) model using China's provincial panel data from 2003 to 2020. The results showed that the ACE in the NBDCPZ establishment area was significantly reduced by 11.91%, a finding that remained robust following the parallel trend test and the placebo test, among others. Mechanism analysis showed that the ACE was reduced through industrial upgrading and technological innovation. Heterogeneity analysis showed that more pronounced policy gains were achieved in China's central-eastern regions as well as in non-major grain-producing areas compared to western and major grain-producing areas. This research provided supporting evidence for the prospect of big data application in ACE and provided useful guidance regarding the promotion of green and sustainable agricultural development.

Boosting green technology innovation in China's construction industry: The power of energy-consuming rights trading policy

Despite the energy-consuming rights trading (ECRT) as a policy practice to achieve the Sustainable Development Goals (SDGs), the existing literature has not yet clearly revealed how it affects green technology innovation in the construction industry. Based on the panel data of 30 provincial-level administrative regions in China from 2010 to 2021, this paper empirically examines the impact and mechanism of the pilot ECRT policy on green technology innovation in the construction industry using the difference-in-differences (DID) method. The study shows that the ECRT policy significantly enhances green technology innovation in the construction industry in the pilot areas. Specifically, the level of green technological innovation in the construction industry in the pilot areas increased by 23.2 % after the implementation of the ECRT policy. Further mechanistic tests show that the ECRT policy promotes green technological innovation in the construction industry by increasing research and development (R&D) investment and upgrading the industrial structure. This paper assesses for the first time the impact of the ECRT policy on green technology innovation from the construction industry's perspective, providing a new perspective for assessing the impact of market-based environmental regulation. This paper is also highly significant for the government to enhance its policies on energy saving and pollution reduction.

Carbon decoupling effects of energy consumption permit trading schemes: Evidence from China

As a fundamental policy instrument for facilitating the profound transformation of China's energy sector, the carbon decoupling effect of the energy consumption permit trading scheme (ECPTS) is a crucial issue to be evaluated. This paper aimed to explore the carbon decoupling effect and mechanisms of China's ECPTS by utilizing the difference-in-differences (DID) estimator. The findings indicated that the ECPTS significantly enhanced the degree of carbon decoupling, and the dynamic effect tended to gradually expand this decoupling effect. This conclusion holds even after conducting several robustness tests. Moreover, heterogeneity is observed in the carbon decoupling effect of the ECPTS, with regions characterized by higher levels of economic development, lower carbon emissions, and higher resource endowments exhibiting more pronounced decoupling effects. Furthermore, the mechanism analysis revealed that the ECPTS primarily improves carbon decoupling through the optimization of the energy mix and the reduction of the energy use scale. Conversely, the role of industrial structure and technological innovation has yet to fully manifest. Consequently, it is imperative to continue promoting and refining the construction of the ECPTS market. Additionally, stimulating investment in optimizing industrial structures and fostering technological innovation, along with the formulation of regionally tailored policy measures, may propel the carbon decoupling effect of ECPTSs.

Do Technological Innovation and Environmental Regulation Reduce Carbon Dioxide Emissions? Evidence from China

<p style="text-indent:0cm; text-align:justify"><span style="font-size:12pt"><span style="line-height:150%"><span style="font-family:"Times New Roman",serif">The Chinese industry holds a significant position in the national economy. However, industrial carbon dioxide (CO<sub>2</sub>) emissions account for a large proportion of the total CO<sub>2</sub> emissions, which has a negative impact on the environment. To identify the factors affecting industrial CO<sub>2</sub> emissions, a vector autoregressive (VAR) model system is established to empirically test the factors influencing industrial CO<sub>2</sub> emissions, using data on industrial technology innovation (TI), environmental regulation, and CO<sub>2</sub> emissions from 2000 to 2023 in China. The results show that there is a cointegration relationship between industrial technological innovation, environmental regulation and CO<sub>2</sub> emissions. Each unit increase in environmental regulation will reduce 2.132 units of CO<sub>2</sub> emissions. Meanwhile, each unit increase in technological innovation results in a decrease of 0.067 units of CO<sub>2</sub> emissions. Compared with TI, environmental regulation has a greater impact on CO<sub>2</sub> emission reduction. The effects of the impulses of the stochastic perturbation terms of industrial TI, environmental regulation, and CO<sub>2</sub> emissions on the current and future values of industrial TI, environmental regulation, and CO<sub>2</sub> emissions in the VAR system are de-picted through the VAR impulse response function. The contribution of each new interest shock to the change of industrial TI, environmental regulation and CO<sub>2</sub> emissions is analyzed by variance decomposition. This paper enriches the application of institutional theory and technological in-novation theory in CO<sub>2</sub> emission reduction and also provides a reference for relevant departments to formulate emission reduction policies and industrial technological innovation.</span></span></span></p>

The impact of regional integration on PM2.5 concentrations—Quasi‐natural experimental evidence from city economic coordination committee

AbstractIt is of great significance to explore the causality between regional integration (RI) and PM2.5 pollution within urban agglomerations in the current pursuit of ecological civilization construction and high‐quality development. Using panel data of 285 prefecture‐level cities in China from 2003 to 2016, this study considers the expansion of the city economic coordination committee in Yangtze River Delta (YRDECC) as a quasi‐natural experiment of RI, and use a difference‐in difference method to explore the effect and inner mechanisms of RI on PM2.5 concentration. After a descriptive analysis of the spatial‐temporal variation trend of the PM2.5 concentration in the Yangtze River Delta urban agglomeration, the empirical results show that RI helps to alleviate 4.8% of the PM2.5 concentration overall. For the original cities, the reduction effect on the PM2.5 concentration is 5.2%, for the new cities, however, RI exacerbates 2.1% of the local PM2.5 concentration. A series of robustness tests confirm the validity of the baseline results, and further indicate that the effect of RI remains significant in the long term and starts to increase from the third year. Furthermore, the reduction effect of RI on PM2.5 concentration is more pronounced in cities with larger scales, more developed economies, and higher degrees of marketization. The mechanism analysis shows that industrial transfer, population migration and technological innovation are significant channels of RI that affect PM2.5 concentrations. The conclusions of this paper provide a new path to alleviate PM2.5 pollution and achieve ecological conservation and high‐quality development in the city cluster area.

Study on the Evaluation of Technological Innovation Efficiency of Industrial Enterprises in Central and Western China: Based on DEA approach

Based on the importance of industrial innovation efficiency, this paper conducts dynamic and static analyses of the technological innovation efficiency of industrial enterprises in the central and western areas of China from years 2010 to 2021 using the DEA-BCC model and Malmquist index based on relevant data. The results indicate that the efficiency of technological innovation in China has steadily increased, with the innovation efficiency in the central and western areas stabilizing at a relatively high level. Additionally, the study identifies that the prosperity of local industries significantly influences industrial scientific and technological innovation efficiency. Consequently, the article provides more specific recommendations for formulating industrial policies that impact industrial prosperity.

Development and Application of Modern Intelligent Control Theory

Modern intelligent control theory has experienced multi-stage development from classical control to fuzzy control, neural networks, and model predictive control, which not only improves the flexibility and adaptability of control systems but also promotes interdisciplinary research. With the advancement of science and technology and social development, intelligent control theory will be further combined with machine learning, big data, and other fields in the future to promote industrial automation and technological innovation. This article reviews the development history of modern intelligent control theory, its main theories, and its applications in robot manufacturing, power electronics, and other fields. It also discusses the current challenges and future development trends in the field of intelligent control.

Does Digital Inclusive Finance Increase Industry Chain Resilience in China?

A high level of industry chain resilience is essential for China’s economy to operate safely, soundly, and robustly. It also serves as the foundation for the nation’s capacity for growth, competitiveness, sustainable development capacity, and ability to respond to various external dangers. In this regard, the swift advancement of digital inclusive finance has shown significant prospects for enhancing the resilience of China’s industry chain. This study empirically examines the impact of digital inclusive finance on industry chain resilience, based on China’s provincial panel data from 2013 to 2021. The findings demonstrate the following: digital inclusive finance significantly contributes to industry chain resilience; optimization of industrial structure and technological innovation play mediating roles in the relationship between digital inclusive finance and industry chain resilience; and the high-quality development of the regional economy has a positive moderating effect on that relationship. Subsequent investigation reveals quantile and regional variations in the effect of digital inclusive finance on industry chain resilience. This study not only confirms the critical role that digital inclusive finance plays in bolstering industry chain resilience but also identifies a workable strategy for doing so in the case of China.

The Effect of Financial Development on Industrial Green Technology Innovation Efficiency: Experience Analysis from 288 Cities in China

Green industrial growth is at the core of the green and low-carbon transformation of the real economy. Financial services provide new channels for green innovation financing for enterprises. How to utilize financial development to enhance the industrial green technology innovation efficiency (GTIE) is the focus of this paper. Using data from 288 cities in China, this paper employs the Super-SBM model and the Network DEA model to measure the industrial GTIE and then investigates the complex relationship between financial development and industrial GTIE. The results show that, overall, financial development can promote the industrial GTIE. And alleviating enterprise financial constraints and increasing investment openness are effective pathways for this influence. In addition, we discuss the heterogeneous effects of financial development on industrial GTIE across different types of cities, manifested as a dual effect of “supporting” and “predation”. In regions with stronger financial power such as coastal and eastern cities, the “predation effect” is stronger, while the “support effect” is stronger in inland and central/western cities. Furthermore, the expansion of city size weakens the impact of financial development on industrial GTIE. This paper points out that financial development plays a crucial role in enhancing the industrial GTIE, but excessive financial power may crowd out the positive impact of financial development on the industrial GTIE. When promoting financial development, it should be matched with region development to avoid crowding out investment in green innovation by enterprises.

Can the energy transition drive economic development? Empirical analysis of China's provincial panel data

With the rise of global environmental awareness and increasing concern about the impacts of climate change, the energy transition has become a pressing issue worldwide. However, in existing studies, the conclusions on the impact of the energy transition on economic development are not consistent. Given these discrepancies and the complexity of the influencing factors in the process of energy transition, the study of the relationship between energy transition and economic development has important theoretical and practical significance for energy policy and economic planning in China and globally. By utilizing provincial panel data from 2000 to 2019 in China and constructing an econometric model, this study empirically examines the influence of the energy transition on economic development. The results show that the energy transition is beneficial for China's economic development. Furthermore, regional heterogeneity significantly stimulates economic development through the upgrading of industrial structure, technological innovation, and environmental regulation. This study provides important empirical evidence and a quantitative basis for actively and steadily promoting the energy transition while considering economic growth.

Does innovative city construction promote tourist destination competitiveness? An analysis of a quasi-natural experiment

This article employs the multi-period difference-in-differences model to investigate the causal impact of innovative city construction on tourist destination competitiveness and its various dimensions based on panel data for 272 Chinese prefecture-level cities from 2005 to 2019. The findings indicate that innovative city construction significantly and positively impacts tourist destination competitiveness, with this effect growing over time. In particular, the impact on tourism industrial competitiveness is negative, whereas the effects on the competitiveness of tourism resources, ecological environment, and socio-economic support are positive and significant. The impact of innovative city construction on tourist destination competitiveness varies significantly across regions and administrative levels, with no variation found between the central and western regions. The possible mediating mechanisms include industrial structure, science and technology innovation, and environmental regulation. This article significantly contributes to the theoretical expansion of tourist destination competitiveness and its change mechanisms under innovative city construction.