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Under the new development pattern, promoting urban green transformation efficiently addresses resource and environmental restrictions and is the foundation of high-quality development. However, the development of green transformation in Chinese cities faces constraints in three dimensions, production, life, and ecology, and it is not clear whether...
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... there a substantial connection between the green transformation of the Yangtze River Delta city cluster and the growth of the digital economy? This paper builds a scatter plot and fits a curve to show their relationship (Figure 4). Figure 4 indicates a favorable relationship between the digital economy and urban green transformation. ...
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... paper builds a scatter plot and fits a curve to show their relationship (Figure 4). Figure 4 indicates a favorable relationship between the digital economy and urban green transformation. It shows that improving the digital economy's development level can speed up urban green transformation. ...
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In the face of achieving the overall goal of emission peak and carbon neutrality, strengthening green technology transfer and environmental regulation is the key to narrowing the green technology gap and green development chasm between regions. This paper integrates green technology transfer, environmental regulation, and the green development chas...
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... New decentralized business architectures are emerging that bypass centralized intermediaries, potentially redistributing power away from established institutional structures to decentralized networks of participants. While the immense opportunities presented, the explosive growth of digital technologies and networks has also introduced wide-ranging social, economic and environmental challenges (Di Vaio and Varriale, 2020;Paliwal et al., 2020;Varriale et al., 2020;Liu and Lin, 2021;Palomares et al., 2021;Tsolakis et al., 2021;Khan et al., 2022a;Khan et al., 2022b;Chang et al., 2022;Hassoun et al., 2022;Ma et al., 2022;Yi et al., 2022). From a social standpoint, issues around online privacy, security, misinformation, screen time, and addiction have become increasingly pertinent. ...
... However, its significant environmental footprint, driven by energy-intensive digital infrastructure and cryptocurrencies, is a pressing concern. The negative impacts of "digital pollution" on greenhouse gas emissions and electronic waste are receiving increased attention and require urgent mitigation efforts (Di Vaio and Varriale, 2020;Varriale et al., 2020;Tsolakis et al., 2021;Khan et al., 2022b;Chang et al., 2022;Hassoun et al., 2022;Xue et al., 2022;Mehedintu and Soava, 2023). The World Economic Forum has identified climate action failure and extreme weather as top global risks, emphasizing the need for action. ...
... Strengthening policy and regulatory environments, such as national climate action plans and multilateral agreements, can accelerate transition pathways. Governments should set decarbonization targets, incentivize public-private R&D Vaio and Varriale, 2020;Paliwal et al., 2020;Varriale et al., 2020;Liu and Lin, 2021;Palomares et al., 2021;Tsolakis et al., 2021;Khan et al., 2022a;Khan et al., 2022b;Chang et al., 2022;Hassoun et al., 2022;Ma et al., 2022;Xue et al., 2022;Yi et al., 2022;Zkik et al., 2023a;Kwilinski, 2023;Leong et al., 2023;Mehedintu and Soava, 2023;Memon and Ooi, 2023;Richey et al., 2023;Saeed et al., 2023;Singh et al., 2023;Soori et al., 2023;Wang et al., 2023;Wu et al., 2023;Zhang, 2023). partnerships, and address the digital divide to ensure equitable sharing of environmental protection benefits. ...
The rapid expansion of the digital economy has had a transformative impact on society, presenting both opportunities and challenges. This article aims to examine the structure of the digital economy and its implications, with a specific focus on the adverse environmental effects associated with its rapid growth. To address these challenges, the utilization of artificial neural networks is proposed as a viable solution. ANNs have proven to be effective in analyzing large volumes of data and extracting valuable insights. By integrating blockchain technology and harnessing the power of ANNs, this study seeks to develop management strategies that optimize resource allocation, reduce waste, and promote sustainability within the digital economy. Through comprehensive data analysis, patterns and trends can be identified, providing decision-makers with valuable information to make informed choices that minimize the environmental impact of digitalization. This research significantly contributes to the existing body of knowledge by enhancing our understanding of the digital economy’s structure, particularly in the context of blockchain technology. The ANN in this study estimated the impact of digital economy growth and structure improvement on adverse environmental effects, waste reduction, and environmental sustainability. The predictions showed that increasing digital economy growth led to increased waste reduction and promotion of environmental sustainability, while adverse environmental effects exhibited sinusoidal behavior. Linear regression confirmed the acceptable error of the network’s predictions compared to experimental results. Furthermore, it sheds light on the potential of ANNs to mitigate the adverse environmental effects associated with the digital economy. By emphasizing the importance of sustainable practices and exploring the applications of emerging technologies, this study offers valuable insights for policymakers, researchers, and industry practitioners seeking to navigate the complex landscape of the digital economy while minimizing its environmental consequences.
... Some of these studies have used the broadband China policy (Zou and Pan, 2023) [8], information and communication technology (ICT) devices (Huong and Thanh, 2022) [9], and digital transportation infrastructures (Zhang et al., 2023a) [10] as representatives of the development of DE, and investigated their effects on SO 2 (Wan and Shi, 2022) [6], CO 2 (Zhang et al., 2023a) [10], haze pollution (Che and Wang, 2022) [11], urban water pollution, gas pollution, powder (smoke) dust pollution (Bai et al., 2022) [12] and other specific pollutants. DE can promote technological innovation [13], industrial structure upgrading (Wu and Sao, 2022) [14], resource allocation (Qian et al., 2021) [15], digital technology infrastructure construction (Zhang et al., 2023a) [10], clean energy use (Chen, 2022) [16], environmental management performance improvement (Hu et al., 2023) [17], low-carbon green travel (Zhang et al., 2023b) [18], thus improving environmental supervision mechanism (Chang et al., 2022) [19] and enhancing EQ. Nonetheless, most existing literature fails to comprehensively assess the integrated level of DE and the integrated level of EQ by constructing a comprehensive index system, let alone thoroughly study how DE affects the integrated urban EQ. ...
... The demand for environmental sustainability amongst the public is a primary driving force behind environmental preservation (Liang and Yang, 2019) [4]. The improvement of online education, health and travel services, and the utilization of e-commerce and platform economies for consumption have a direct impact on the public cognitive behavior and lifestyle choices, ultimately aiding in fostering a green and low-carbon way of life (Chang et al., 2022) [19]. Public transport availability characterizes the living habits of the region population. ...
The impact of the digital economy (DE) on urban environmental quality (EQ) is a critical aspect of China’s economic development. This study investigates the impact of DI on urban EQ using the data from prefecture-level cities spanning the period from 2011 to 2021 and updates some disparate conclusions of related studies. It is discovered that a non-linear correlation exists between DE and urban EQ. Currently, DE can effectively improve local city EQ. This conclusion remains valid even after robustness tests and endogeneity treatment. The impact of DE on improving EQ can be classified as the impact of technological innovation, industrial upgrading, resource allocation, infrastructure construction, environmental governance, and changes in public lifestyle. Heterogeneity analysis reveals that the influence of DE is particularly pronounced in cities located in central and eastern regions of China, those with higher levels of administrative management, resource-based urban areas, and those with more stringent environmental regulations.
... Referring to previous studies (Shao and Li 2022;Chang et al. 2022;Sun and Song 2023), this study selects population size, number of industrial enterprises, employment structure, financial development level, and value-added tax as control variables that can directly or indirectly affect the urban coordinated development. The measurement indicators of each control variable are as follows: ...
Evaluating the effects of China’s carbon emission trading scheme (ETS) is crucial for the coordinated development of Chinese cities. Therefore, based on the panel data of 242 cities in China from 2008 to 2019, this paper uses the multi-period difference-in-difference (DID) model to comprehensively evaluate the impact of carbon market on the coordinated development of cities from the perspectives of carbon market policy and carbon market efficiency, and then analyzes the mechanism and heterogeneity of the effect of carbon market efficiency. The results show that both carbon market policy and carbon market efficiency can promote the coordinated development of cities. Science and education expenditure plays a significant intermediary role in the impact of carbon market efficiency on the coordinated development of cities. The heterogeneity test finds that the stricter the performance penalty system, the higher the level of urban coordinated development, and the stronger the effect of carbon market efficiency. The findings of this paper provide policy recommendations for further improving the construction of China’s pilot and national ETS and enhancing the coordinated development of Chinese cities.
... Through literature analysis and assessments of international cases, key policy domains and recommended actions are discussed, aiming to guide technological progress in service of both economic competitiveness and ecological modernization objectives. By implementing these policies, countries can foster an institutional framework that ensures technological advancements are in line with environmental goals [27][28][29][30][31][32] . This study explores the role of blockchain and AI in structuring the digital economy for sustainable development. ...
... Through blockchain-based smart contracts, collaborative forecasting is facilitated by coordinating demand signals among stakeholders. This coordination enables fine-grained predictions and helps reduce instances of overproduction or underproduction [29][30][31][32][33] . Inventory management benefits from visibility into inventory levels and automated replenishment requests triggered by predefined thresholds. ...
... The starting point is regional energy consumption and emissions, which provides the baseline for decarbonization efforts and is linked to other components such as renewable energy potential, policy and regulatory framework, and renewable energy infrastructure [36][37][38][39][40][41] . The power generation sector is crucial Table 3. Environmental comparison of manufacturing and service sectors [24][25][26][27][28][29][30][31][32][33][34][35] . www.nature.com/scientificreports/ ...
In the current global context of environmental degradation and resource constraints, the pursuit of sustainable development has become an imperative. One avenue that holds promise for achieving this objective is the application of digital technologies, which have the potential to decouple economic growth from its carbon footprint. However, it is crucial to ensure that these technologies are designed and governed in a prudent manner, with a strong alignment to environmental priorities. This study focuses on exploring the potential roles of blockchain and artificial intelligence (AI) in supply chain coordination and impact mitigation. Furthermore, they have the capacity to incentivize recycling and circular business models, as well as facilitate carbon accounting and offsetting. To fully realize these benefits, it is essential to deploy these technologies within inclusive collaborative frameworks that take into consideration social and ecological considerations. The study also offers policy recommendations that highlight key leverage points for digital innovation, enabling countries to embark on smart and green industrial transformation pathways. By harnessing the potential of blockchain and AI in supply chains, governments can promote transparency, traceability, and accountability, thereby fostering sustainable practices and reducing environmental impacts. Incorporating blockchain and AI technologies into supply chain approaches leads to a substantial improvement in efficiency, as demonstrated by a numerical analysis. In conclusion, the integration of innovative digital technologies offers significant opportunities to optimize production systems and economic activity while prioritizing sustainability objectives for the betterment of society and the environment. These technologies have the potential to mitigate environmental externalities by addressing information imbalances within global supply chains. However, it is essential to prioritize inclusive governance that emphasizes democratic participation to mitigate any unintended negative consequences, especially for vulnerable communities. By ensuring inclusive decision-making processes, we can maximize the positive impact of these technologies while minimizing potential harm.
... Digital economy has a multi-path and multi-dimensional comprehensive impact on carbon emissions. Also, it can change urban environments in three areas: production, life, and ecological space and examined the effect of digitalization on the transition to a greener urban environment [3]. From a different perspective, digitalization has greatly decreased the sum of emissions and has a nonlinear relationship with intensity of emissions, which shows as a U-shaped curve [4,5]. ...
... The coefficient of technological development level shows that the increase in science expenditure may suppress carbon emission, but this effect is not significant in the current model. In this paper, industrial structure is used as an intermediary variable to build models, in which column (4) in table 2 represents formula (2), and column (5) represents formula (3). Column (4) shows that there is a U-shaped nonlinear link between digitalization and manufacturing framework. ...
The Yangtze River Delta (YRD) is an experimental location of high-quality holistic growth in China and an important area for realizing the “dual carbon” goal. Utilizing panel data from 27 important municipalities in the YRD urban agglomeration from 2010 to 2020, the fixed-effect model is used to evaluate the stage of advancement in the digital economy on urban emission levels. As an intermediary variable, industrial structure modification was tested to see how the digital economy affected local dioxide emissions. The results show that: (1) After an array of robustness tests, the overall impact on both core variables is inverted U-shaped, facilitating and then constraining emissions; (2) As part of its function in cutting emissions, the digital economy also impacts the industrial framework, which has an indirect, nonlinear, U-shaped effect on the intensity of regional dioxide emissions; (3) Looking further, regions with high levels of government spending and investment in innovation are those where carbon emissions are most clearly affected by digitalization. There is still opportunity for evolution and optimization of the YRD region’s energy consumption process. The study’s findings expand our comprehension of the factors that influence high-quality community growth as well as how the digital economy works to support it.
... The digital economy can potentially serve as financial support for green technologies in industry and stimulate its development (Li and Wang, 2022;Ren et al., 2022b). In addition, improving the digital economy level can crowd out the traditional industry with overcapacity and structural imbalance, pushing the industrial green transformation Chang et al., 2022). High energy usage, pollution, and other negative effects are commonplace in the conventional industrial mode (Dasgupta et al., 2002). ...
... Nevertheless, Dou and Guo (2022) identify novel evidence differently in the sample of Chinese listed manufacturing industries, indicating an inverted U-shaped nexus between the digital economy and enterprise green behavior, i.e., the hyper development of the digital economy instead inhibits enterprise green behavior. One crucial explanation is that the digital economy has resource-saving and environment-friendly edges with inherently green attributes (Chang et al., 2022;Nham, 2022). The digital economy has the potential to deliver financial support for green technology, expedite the creation of green technology, generate positive economic advantages, and produce social demonstrative effects (Ma and Zhu, 2022). ...
... Table 7-B reveals that the coefficient of the digital economy is insignificant, and the coefficient of natural resource use is significantly positive, implying that in the west of China, the digital economy fails to accelerate the industrial green transformation by boosting natural resource use. Chang et al. (2022) and identify that the impact of the digital economy on the green transformation is limited by regional location resulting in significant variability. One potential explanation is that the east-central part of China has the highest economic development, the earliest startup, and better digital economy infrastructure investment than the western part of China (Ma and Zhu, 2022). ...
Natural resource consumption and the digital economy are increasingly critical in empowering industrial green transformation, which is also an ongoing and valuable topic worth exploring. Therefore, this study investigates the impact of natural resource use and the digital economy on industrial green transformation in 30 Chinese provincial-level administrative data from 2006 to 2020. The outcomes reveal that digital economy can significantly drive industrial green transformation by elevating natural resource consumption. Significant heterogeneity is observed in the effects of natural resource use and digital economy on industrial green transformation. Manifestly, the digital economy stimulates industrial green transformation by promoting natural resource use in the east-central regions of China, while the mechanism is insignificant in the western region of China. Finally, the positive impact of natural resource use on industrial green transformation is gradually strengthening with the continuous increase in the digital economy level. Our findings imply that policymakers should differentiate the execution of digital economy policies and build an empowered natural resource usage system led by the digital economy to accelerate industrial green transformation.
Developing countries are the center of attention as this study delves into the ways in which blockchain and AI might improve supply chain sustainability. We argue that these technologies provide unique answers to the problems associated with implementing sustainability standards in these types of situations by employing theoretical, empirical, and anecdotal data. Based on our research into several case studies, we have developed seven hypotheses that outline how blockchain technology might improve supply chains in developing countries with regard to sustainability, social impact evaluation, and product quality. Additionally, we explore how blockchain and AI might inspire recycling, circular business models, and carbon accounting, with a focus on the value of inclusive governance frameworks. The research we conducted focused on the environmental benefits and efficiency gains that may be achieved by combining these technologies. In order to reduce any bad consequences, particularly on disadvantaged groups, it is crucial to have inclusive decision-making procedures. Our policy ideas aim to pave
Innovation and economic growth is mainly formed by a unique combination of the companies that are interconnected in the field of knowledge and process. Such connections can be based on different goals among the service provider companies while two common methods for this objective include the cluster and ecosystem. The main objective of this article is to develop the cluster ecosystem of Iranian native search engine. In the ecosystem, relationship between the actors are formed based on the function-oriented complementary relationship of cluster of Iranian native search engine. This article aims at understanding the relating concepts of high-tech clusters and business ecosystems. Thus, while studying the existing literature, identified the different functions of native search engine clusters and different types of the actors and stakeholders of ecosystem by related experts. Then considering the role of each actor in the general functions of the native search engine, we tried to identify the relationships and interactions among those actors. Finally, the cluster ecosystem development model for the Iranian native search engine was designed based on the value network among the actors of Iranian native search engine. The findings of this research included: 1. identifying the ecosystem actors of native search engine, 2. developing the cluster of search engine functions, 3. designing the value network of the mentioned ecosystem.
Originality/ value: the proposed model, makes it possible for the actors to begin the interaction and value flow based on their roles in the cluster.
Urban social space and sustainable urban development are both prominent areas of research in urban studies. The development of a city is closely tied to the development of its social space. The level of sustainable development in a city can be assessed by examining the evolution of its urban social space. Therefore, the two are highly interconnected in a close relationship. However, the social dimension of sustainable development has always received the least attention compared to the economy and the environment. Therefore, this paper examines urban transformation and urban spatial structure, social composition, the activity space and living space of urban residents, the social integration of urban residents in urban communities, and urban planning. This paper provides a comprehensive literature review of research on urban social space and sustainable development. On the one hand, this literature review thoroughly examines the correlation between urban social space and sustainable urban development. On the other hand, it broadens the perspectives of urban research, highlights the key role of social dimensions in sustainable urban development, and helps to draw the attention of academics to this topic. In addition, this literature review may provide policymakers with more comprehensive information on urban social space and sustainable development.
