Nothing Special   »   [go: up one dir, main page]

You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (185)

Search Parameters:
Keywords = new quality productive forces

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
21 pages, 745 KiB  
Article
A Study on the Mechanisms of New Quality Productive Forces Enabling the Upgrading of the Modern Tourism System: Evidence from China
by Xuejun Chen and Yue Wu
Sustainability 2025, 17(5), 2232; https://doi.org/10.3390/su17052232 - 4 Mar 2025
Viewed by 278
Abstract
Entering the new development stage, empowering the modern tourism system by upgrading it with new quality productive forces (NQPF) is of great significance in promoting the high-quality development of China’s tourism industry. Based on the panel data of 30 provinces in China between [...] Read more.
Entering the new development stage, empowering the modern tourism system by upgrading it with new quality productive forces (NQPF) is of great significance in promoting the high-quality development of China’s tourism industry. Based on the panel data of 30 provinces in China between 2018 and 2022, the two-way fixed effects model, the mediated-effects model, and the spatial Durbin model SDM were constructed using STATA 16 for empirical analysis. Results indicated that NQPF have a significant facilitating effect on upgrading the modern tourism system, which is reflected in four aspects: industrial efficiency upgrading, industrial technology upgrading, industrial structure upgrading, and open sharing upgrading. The results of the mechanism test show that the dynamic capacity of the industry plays an important intermediary role in the process of NQPF promoting the upgrading of the modern tourism system. In addition, NQPF has a spatial spillover effect on upgrading the modern tourism system. Based on the above conclusions, strengthening the cultivation and development of NQPF, optimizing the industry dynamic capacity, promoting coordinated regional development, and optimizing the policy environment are proposed in order to further enhance the overall level of the modern tourism system and to realize the high-quality development of tourism. Full article
Show Figures

Figure 1

Figure 1
<p>The influence mechanism of NQPF on UMITS.</p>
Full article ">
37 pages, 732 KiB  
Article
The Impact of Digital Transformation on High-Quality Development of Manufacturing Enterprises: An Integrated Perspective on Efficiency and Social Responsibility
by Xing Liu, Shaobo Hong, Zhi Su and Yuanren Zhou
Mathematics 2025, 13(5), 815; https://doi.org/10.3390/math13050815 - 28 Feb 2025
Viewed by 270
Abstract
With the rise of a new wave of technological revolution and industrial transformation, digital technology has become a key force driving global economic and social development. Digital technology holds significant advantages in promoting industrial transformation and upgrading, as well as facilitating the high-quality [...] Read more.
With the rise of a new wave of technological revolution and industrial transformation, digital technology has become a key force driving global economic and social development. Digital technology holds significant advantages in promoting industrial transformation and upgrading, as well as facilitating the high-quality development of manufacturing enterprises. This study selects 482 manufacturing enterprises in the Shanghai and Shenzhen A-share markets from 2010 to 2022 as samples and comprehensively measures the high-quality development level of enterprises from the two dimensions of production efficiency and social responsibility. Based on this, a two-way fixed effect model is used to test the impact of digital technology on the high-quality development of manufacturing enterprises. The results show that the digital transformation of manufacturing enterprises enhances their level of high-quality development by improving production efficiency and strengthening social responsibility. This conclusion remains robust after a series of robustness checks. The mechanism analysis reveals that digitalization influences the high-quality development of manufacturing enterprises by altering financing costs, innovation output, and human capital. The heterogeneity analysis indicates that this impact varies significantly across ownership types, industries, and regions. Therefore, further efforts should be made to promote the digital transformation of manufacturing enterprises, strengthen technological innovation, enhance talent cultivation, and promote industrial integration, thereby leveraging digital technology to significantly improve high-quality development levels. Full article
Show Figures

Figure 1

Figure 1
<p>The scale of Value Added by China’s Digital Economy and Its Share of GDP. Data Source: China Academy of Information and Communications Technology (CAICT).</p>
Full article ">Figure 2
<p>Trends of Digitalization Index and Sub-Indices of Manufacturing Enterprises from 2010 to 2022.</p>
Full article ">
23 pages, 3329 KiB  
Article
Dynamic Evolution and Trend Forecasting of New Quality Productive Forces Development Levels in Chinese Urban Agglomerations
by Yufang Shi, Xin Wang and Tianlun Zhang
Sustainability 2025, 17(4), 1559; https://doi.org/10.3390/su17041559 - 13 Feb 2025
Viewed by 519
Abstract
New quality productive forces serve as a catalyst for high-quality development and act as a critical driver of Chinese-style modernization. This study evaluated the degree of new quality productive force in China’s five major urban agglomerations between 2013 and 2022 using the entropy [...] Read more.
New quality productive forces serve as a catalyst for high-quality development and act as a critical driver of Chinese-style modernization. This study evaluated the degree of new quality productive force in China’s five major urban agglomerations between 2013 and 2022 using the entropy approach. Additionally, it utilized kernel density estimation, the Dagum Gini coefficient, and Markov chain analysis to explore the spatial and temporal dynamics of these forces and their evolutionary trends. The findings revealed the following: (1) Overall, the new quality productive forces in China’s five major urban agglomerations have exhibited a steady upward trend, although the overall level remains relatively low. Among these regions, the Pearl River Delta ranks the highest, followed by the Yangtze River Delta, Beijing–Tianjin–Hebei, Chengdu–Chongqing, and the Urban Cluster in the Middle Reaches of the Yangtze River. Nevertheless, significant potential for improvement persists. (2) The traditional Markov probability transfer matrix suggests that the new quality productive forces in these urban agglomerations are relatively stable, with evidence of “club convergence”. Meanwhile, the spatial Markov transfer probability matrix indicates that transfer probabilities are influenced by neighborhood contexts. (3) Over time, the new quality productive forces in Chinese urban agglomerations show a tendency to concentrate at higher levels, reflecting gradual improvement. The developmental state and evolutionary patterns of new quality productive forces in Chinese urban agglomerations are thoroughly evaluated in this paper, along with advice for accelerating their growth to promote Chinese-style modernization. Full article
(This article belongs to the Special Issue Advances in Economic Development and Business Management)
Show Figures

Figure 1

Figure 1
<p>The trend of new quality productive forces in the five major urban agglomerations.</p>
Full article ">Figure 2
<p>Spatial distribution of the new quality productive forces levels in the five major urban agglomerations.</p>
Full article ">Figure 3
<p>The trend of regional differences in the five major urban agglomerations.</p>
Full article ">Figure 4
<p>Sources of regional differences and their contribution rates in the five major urban agglomerations.</p>
Full article ">Figure 5
<p>Trends of regional differences among the five major urban agglomerations.</p>
Full article ">Figure 6
<p>Kernel density estimation of the overall and individual five major urban agglomerations. (<b>a</b>) Five urban agglomerations overall. (<b>b</b>) Beijing–Tianjin–Hebei. (<b>c</b>) Yangtze River Delta. (<b>d</b>) Pearl River Delta. (<b>e</b>) Middle reaches of the Yangtze River. (<b>f</b>) Chengdu–Chongqing.</p>
Full article ">
22 pages, 1751 KiB  
Article
Analysis of Regional Disparities, Spatiotemporal Evolution and Key Influencing Factors of Marine New Productive Forces in China
by Ying Sun, Zili Zhou, Ying Fang, Meng Bie and Xiaoguang Sun
Sustainability 2025, 17(4), 1432; https://doi.org/10.3390/su17041432 - 10 Feb 2025
Viewed by 453
Abstract
New productive forces are the new impetus for the high-quality development of the marine economy. To accurately measure the development level of marine new productive forces, this study constructs an evaluation index system from four aspects: development impetus, development structure, development mode, and [...] Read more.
New productive forces are the new impetus for the high-quality development of the marine economy. To accurately measure the development level of marine new productive forces, this study constructs an evaluation index system from four aspects: development impetus, development structure, development mode, and development achievements. This study determines the combination weights of indicators based on relative entropy. Kernel density estimation, spatial Markov chain and Dagum Gini coefficient are used to analyze the spatiotemporal evolution, regional disparities and sources of marine new productive forces in coastal provinces of China. Finally, the decision-making trial and evaluation laboratory together with interpretative structural modeling (DEMATEL-ISM) is used to analyze the key influencing factors of marine new productive forces. Results show that the marine new productive forces have been increasing year by year, but the overall level is relatively low. There is a phenomenon of “club convergence” in the development level of marine new productive forces, and the state transfer occurs between adjacent types. The overall variation in marine new productive forces is showing a downward trend, with disparities arising mainly from inter-regional variation and hypervariable densities. The key influencing factors include investment in marine R&D, the openness of foreign investment, the openness of foreign trade, and investment in pollution control. The study conclusion provides support for designing a development path for marine new productive forces that conforms to regional characteristics. Full article
(This article belongs to the Section Sustainable Oceans)
Show Figures

Figure 1

Figure 1
<p>Flowchart of analysis model for marine new productive forces.</p>
Full article ">Figure 2
<p>Development level of marine new productive forces. (<b>a</b>) The nation and the three marine economic circles; (<b>b</b>) southern region; (<b>c</b>) eastern region; and (<b>d</b>) northern region.</p>
Full article ">Figure 3
<p>Dynamic evolution trend of marine new productive forces. (<b>a</b>) National coastal region; (<b>b</b>) Eastern region; (<b>c</b>) Southern region; and (<b>d</b>) Northern region.</p>
Full article ">Figure 3 Cont.
<p>Dynamic evolution trend of marine new productive forces. (<b>a</b>) National coastal region; (<b>b</b>) Eastern region; (<b>c</b>) Southern region; and (<b>d</b>) Northern region.</p>
Full article ">Figure 4
<p>(<b>a</b>) Evolution of the overall Gini coefficient and its decomposition. (<b>b</b>) Decomposition of Gini coefficient differences and their contribution rates. (<b>c</b>) Gini coefficient values by region. (<b>d</b>) Regional Gini coefficients.</p>
Full article ">Figure 5
<p>Multilayer hierarchical structure model <sup>1</sup>. <sup>1</sup> Grey nodes represent cause factors, and white nodes represent result factors.</p>
Full article ">
31 pages, 994 KiB  
Article
Artificial Intelligence and the New Quality Productive Forces of Enterprises: Digital Intelligence Empowerment Paths and Spatial Spillover Effects
by Xiumin Li, Haojian Tang and Zishuo Chen
Systems 2025, 13(2), 105; https://doi.org/10.3390/systems13020105 - 9 Feb 2025
Viewed by 913
Abstract
The 20th CPC Central Committee stressed that the key to high-quality economic development is to cultivate new quality productive forces, and AI plays a key role in cultivating new quality productive forces. This paper takes A-share listed enterprises in China from 2013 to [...] Read more.
The 20th CPC Central Committee stressed that the key to high-quality economic development is to cultivate new quality productive forces, and AI plays a key role in cultivating new quality productive forces. This paper takes A-share listed enterprises in China from 2013 to 2022 as a sample, constructs comprehensive level indicators of AI from the strategic side, application side, and innovation side of enterprises’ AI, and empirically examines the impact, mechanism, and spatial spillover effect of AI development on enterprises’ new quality productive forces from the perspective of digital intelligence empowerment and the spatial perspective. The results of this study show that AI can significantly promote the development of new productivity, and the development of AI within enterprises can promote the improvement of new productivity levels of neighboring enterprises or regions. At the same time, the role of AI in promoting the development of new quality productive forces is more obvious when the enterprise is a private enterprise, the managers have a digital background, and the enterprise is located in an industry with fierce market competition or a strategic industry. The purpose of this paper is to reveal the mechanism and spatial spillover effect of AI in promoting the new quality productive forces of enterprises and to provide a new theoretical basis and research perspective for enterprises to cultivate new quality productive forces. Full article
(This article belongs to the Special Issue Sustainable Business Model Innovation in the Era of Industry 4.0)
Show Figures

Figure 1

Figure 1
<p>The direct and indirect effects of AI for new quality productive forces. Source: own work.</p>
Full article ">Figure 2
<p>The research process.</p>
Full article ">
25 pages, 2869 KiB  
Article
Exploring the Coexistence Between New Quality Productive Force Developments, Human Capital Level Improvements and Time Poverty from a Time Utilization Perspective
by Qiyan Wang and Zhixian Du
Sustainability 2025, 17(3), 930; https://doi.org/10.3390/su17030930 - 23 Jan 2025
Viewed by 604
Abstract
The development of new quality productive forces and the improvement of human capital have significantly improved people’s material and spiritual living standards. However, this has not brought people time affluence. Time poverty is related to lower happiness and physical health, and should be [...] Read more.
The development of new quality productive forces and the improvement of human capital have significantly improved people’s material and spiritual living standards. However, this has not brought people time affluence. Time poverty is related to lower happiness and physical health, and should be of concern. This paper theoretically analyzes the relationship among new quality productive forces, human capital level and time poverty, and conducts an empirical study based on the data from the Residents’ Life Time Allocation Survey from 2006 to 2021. The results show that more than 40% of individuals feel time poverty. Under the combined influence of new quality productive forces and human capital level, individual work time is still increasing, while leisure time is decreasing, which has contributed to increased time poverty. Individuals participate in more leisure activities in less leisure time, so they do not fully enjoy their leisure time. Moreover, with the improvement of new quality productive forces and human capital level, individuals are more inclined to participate in cultural appreciation, educating children, amateur learning, etc., activities. These activities are more like the extension of work time, so that people feel that leisure time is dominated. All these effects are significantly different in terms of gender, marital status, occupation, family size and income. Full article
Show Figures

Figure 1

Figure 1
<p>The relationships between new quality productive forces, human capital and time utilization.</p>
Full article ">Figure 2
<p>The kernel density distribution of residents’ living time from 2006 to 2021. (<b>a</b>) Work time; (<b>b</b>) Essential time; (<b>c</b>) Housework time; (<b>d</b>) Leisure time.</p>
Full article ">Figure 3
<p>The average participation time of residents’ leisure activities from 2006 to 2021. Notes: 1–15 represent acquiring cultural and scientific knowledge, reading newspapers, reading books, watching television, listening to radio, watching film and drama performance, watching exhibitions, walking in the park, other recreations, physical exercise, rest, educating children, public welfare activities, visiting relatives and friends, other leisure activities, respectively. The color of the dots represents the year of the survey, and the size of the dots represents the time to participate in leisure activities.</p>
Full article ">Figure 4
<p>Group analysis of the impact of human capital level on various types of life time.</p>
Full article ">Figure 5
<p>Group analysis of the impact of new quality productive force levels on various types of life time.</p>
Full article ">Figure 6
<p>Beeswarm plot of the effects on the richness and preference of leisure activities.</p>
Full article ">Figure 7
<p>Group analysis of the impact of human capital level on leisure preference. Note: 1–6 denotes other activity, visiting relatives and friends, sport, amateur learning, educating children and cultural appreciation, respectively.</p>
Full article ">Figure 8
<p>Group analysis of the impact of new quality productive force levels on leisure preference. Note: 1–6 denotes visiting relatives and friends, amateur learning, sport, educating children, cultural appreciation and other activity, respectively.</p>
Full article ">
18 pages, 3812 KiB  
Article
The Stability-Indicating Ultra High-Performance Liquid Chromatography with Diode Array Detector and Tandem Mass Spectrometry Method Applied for the Forced Degradation Study of Ritlecitinib: An Appraisal of Green and Blue Metrics
by Jelena Kovačić, Daniela Amidžić Klarić, Nikša Turk, Željko Krznarić, Emma Riordan and Ana Mornar
Pharmaceuticals 2025, 18(1), 124; https://doi.org/10.3390/ph18010124 - 17 Jan 2025
Viewed by 947
Abstract
Background/Objectives: Janus kinase inhibitors open new horizons for small-molecule drugs in treating inflammatory bowel disease, with ritlecitinib demonstrating significant efficacy in clinical trials for ulcerative colitis and Crohn’s disease. Ritlecitinib, a second-generation JAK3 inhibitor, is a novel therapeutic agent for alopecia areata and [...] Read more.
Background/Objectives: Janus kinase inhibitors open new horizons for small-molecule drugs in treating inflammatory bowel disease, with ritlecitinib demonstrating significant efficacy in clinical trials for ulcerative colitis and Crohn’s disease. Ritlecitinib, a second-generation JAK3 inhibitor, is a novel therapeutic agent for alopecia areata and other autoimmune conditions. Methods: A new stability-indicating UHPLC-DAD-MS/MS method was developed, validated, and applied for a forced degradation study of ritlecitinib under ICH guidelines. Results: The method demonstrated high specificity, sensitivity (LOD: 0.04 µg/mL; LOQ: 0.14 µg/mL), precision (RSD ≤ 0.15%), and accuracy (99.9–100.3%). Forced degradation studies under acidic, basic, oxidative, thermal, and photolytic conditions revealed four novel degradation products. Basic degradation followed second-order kinetics, while oxidative degradation followed zero-order kinetics. Conclusions: The validated method reliably characterized ritlecitinib’s stability and degradation products, providing essential data for optimizing formulation, determining proper storage conditions, anticipating drug–excipient interactions, and ensuring quality control. The eco-friendliness and applicability of the developed forced degradation procedure were evaluated using various green and blue metric tools. Incorporating green analytical principles underscores its potential for sustainable pharmaceutical analysis. Full article
(This article belongs to the Special Issue Advances in Drug Analysis and Drug Development)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Structure of the irreversible Janus kinase 3 and tyrosine kinase inhibitor, ritlecitinib.</p>
Full article ">Figure 2
<p>Representative LC chromatograms of ritlecitinib samples (100 µg/mL): (<b>a</b>) control, (<b>b</b>) basic, and (<b>c</b>) oxidative degradation.</p>
Full article ">Figure 3
<p>Mass spectra data of ritlecitinib. (<b>a</b>) Full scan ESI-MS spectrum, showing the protonated molecular ion [M+H]<sup>+</sup> at <span class="html-italic">m</span>/<span class="html-italic">z</span> 286. (<b>b</b>) Product ion ESI-MS/MS spectrum of the protonated molecular ion [M+H]<sup>+</sup> (<span class="html-italic">m</span>/<span class="html-italic">z</span> 286), collision energy of 20 V (insert: proposed fragmentation pattern).</p>
Full article ">Figure 4
<p>Positive single scan ESI-MS spectra of degradation products: (<b>a</b>) Degradation Product 1—DP1 (basic hydrolysis), (<b>b</b>) Degradation Product 2—DP2 (basic hydrolysis), (<b>c</b>) Degradation Product 3—DP3 (basic hydrolysis/oxidative stress), and (<b>d</b>) Degradation Product 4—DP4 (oxidative stress).</p>
Full article ">Figure 5
<p>The MoGAPI score of ritlecitinib forced degradation protocol.</p>
Full article ">Figure 6
<p>The ComplexGAPI score of ritlecitinib forced degradation protocol.</p>
Full article ">Figure 7
<p>The AGREE score of ritlecitinib forced degradation protocol.</p>
Full article ">Figure 8
<p>The AGREEprep score of ritlecitinib forced degradation protocol.</p>
Full article ">Figure 9
<p>The BAGI score of ritlecitinib forced degradation protocol.</p>
Full article ">
27 pages, 1428 KiB  
Article
Digital Economy, Green Innovation Efficiency, and New Quality Productive Forces: Empirical Evidence from Chinese Provincial Panel Data
by Yunsong Xu, Ruixun Wang and Shanfei Zhang
Sustainability 2025, 17(2), 633; https://doi.org/10.3390/su17020633 - 15 Jan 2025
Viewed by 940
Abstract
As a new economic form driven and empowered by digital technology, the development of the digital economy has become a crucial pathway for boosting the advancement of new quality productive forces. This study employs the entropy method to measure the comprehensive evaluation index [...] Read more.
As a new economic form driven and empowered by digital technology, the development of the digital economy has become a crucial pathway for boosting the advancement of new quality productive forces. This study employs the entropy method to measure the comprehensive evaluation index system for both the digital economy and new quality productive forces and further utilizes the unexpected output super-efficiency model to calculate the green innovation efficiency index. On this basis, panel data of 31 provinces in China from 2012 to 2022 are selected to conduct a quantitative analysis from a multidimensional perspective innovatively, examining the overall, heterogeneous, and spatial effects of the digital economy on new quality productive forces, as well as the mediating, moderated mediating, and threshold effects of green innovation efficiency. The research findings indicate that (1) the digital economy significantly promotes the development of new quality productive forces, and this conclusion is robust; (2) the impact of the digital economy on new quality productive forces exhibits regional heterogeneity; (3) there is a positive spatial spillover effect of the digital economy on new quality productive forces; (4) the digital economy can facilitate the development of new quality productive forces by enhancing green innovation efficiency; (5) industrial structure upgrading moderates the mediating effect of the digital economy on new quality productive forces, specifically regulating the promoting effect of green innovation efficiency on new quality productive forces; and (6) the impact of the digital economy on new quality productive forces exhibits a nonlinear characteristic of “increasing marginal effect”. Consequently, this study proposes targeted suggestions from four dimensions: accelerating the construction of digital infrastructure, vigorously enhancing green innovation efficiency, promoting the deep integration of digitalization and greenization, and facilitating industrial upgrading and coordinated development. These suggestions serve as valuable empirical insights into China’s transformation path selection and sustainable high-quality development in the new era. Full article
Show Figures

Figure 1

Figure 1
<p>Theoretical mechanism of moderated mediation effects.</p>
Full article ">Figure 2
<p>Moran’s I scatterplot of new quality productive forces index. (<b>a</b>) Moran’s I scatterplot of urban-rural common wealth index in 2012; (<b>b</b>) Moran’s I scatterplot of urban-rural common wealth index in 2022.</p>
Full article ">Figure 3
<p>Threshold estimates and confidence intervals. (<b>a</b>) 1st threshold parameter; (<b>b</b>) 2nd threshold parameter.</p>
Full article ">
25 pages, 1992 KiB  
Article
Structural Dimensions and Model Construction of Platform Enterprises’ Digital Responsibility: A Grounded Study Based on Organizational Identity Theory
by Xiao-Su Wang and Hui-Dan Huang
Sustainability 2025, 17(2), 405; https://doi.org/10.3390/su17020405 - 7 Jan 2025
Viewed by 603
Abstract
With the development of new, high-quality productive forces, platform enterprises (PEs) are beginning to play a crucial role in shaping economic patterns, ecological environments, and social structures. These enterprises have significant social responsibilities when handling issues such as algorithmic discrimination, user data breaches, [...] Read more.
With the development of new, high-quality productive forces, platform enterprises (PEs) are beginning to play a crucial role in shaping economic patterns, ecological environments, and social structures. These enterprises have significant social responsibilities when handling issues such as algorithmic discrimination, user data breaches, and market monopolies. Herein, we adopt the grounded theory method, selecting three unique types of PEs as research subjects. Through in-depth interviews with stakeholders and a three-level coding analysis, we build a “triple” responsibility model of PEs’ digital responsibility (DR). This model is based on the PEs’ triple organizational identity and is framed by three dimensions: product responsibility, technological responsibility, and application responsibility. The model also summarizes three dimensions and contents of responsibility: digital self-regulation, the digital regulation of others, and digital foresight. The concept of PEs’ DR is clarified and the structure and dimensions of PEs’ DR are delineated. This study holds significant theoretical and practical value for perfecting the social responsibility system in the platform economy. The triple DR model fills the research gap on the relationship between corporate social responsibility (CSR) and corporate DR and overcomes the limitations of the traditional CSR paradigm, providing a theoretical foundation for PEs’ sustainable development in the digital era. Full article
Show Figures

Figure 1

Figure 1
<p>Core Categories of PEs’ DR.</p>
Full article ">Figure 2
<p>First-Order CFA Model.</p>
Full article ">Figure 3
<p>CFA Model.</p>
Full article ">Figure 4
<p>PEs’ Triple DR Model.</p>
Full article ">
16 pages, 1030 KiB  
Proceeding Paper
Research on the Security Risk Governance Roadmap in Low-Altitude Economic Field Based on the Economic Externality Theory
by Shuang Liu and Mingming Liu
Eng. Proc. 2024, 80(1), 14; https://doi.org/10.3390/engproc2024080014 - 6 Jan 2025
Viewed by 855
Abstract
In 2024, the low-altitude economy, as a representative of strategic emerging industries, was written into the government work report for the first time, becoming an important engine for the development of new-quality productive forces. China’s low-altitude economic development market is huge, but opportunities [...] Read more.
In 2024, the low-altitude economy, as a representative of strategic emerging industries, was written into the government work report for the first time, becoming an important engine for the development of new-quality productive forces. China’s low-altitude economic development market is huge, but opportunities and risks coexist. With the rapid development of the low-altitude economy, all kinds of safety risks contained within it have not received enough attention, and the relevant policies and regulations of safety risk management need to be improved. Therefore, the concept of the low-altitude economy is defined and considers that the low-altitude economy belongs to the “economic field”. Secondly, the types of low-altitude economic security risks are summarized based on the theory of economic externalities, which shows that the management of low-altitude economic security risk of the national team is important and necessary. Thirdly, we comprehensively summarize the policies, laws, and regulations of a low-altitude economy and give a description of low-altitude economic security risk management. Finally, the practical path of low-altitude economic security risk management is given as establishing top-level design, establishing and perfecting regulations and standards, collaborative governance of multiple subjects, and strengthening safety knowledge. Full article
(This article belongs to the Proceedings of 2nd International Conference on Green Aviation (ICGA 2024))
Show Figures

Figure 1

Figure 1
<p>The framework of a low-altitude economic security risk governance path based on the theory of economic externalities.</p>
Full article ">Figure 2
<p>Collaborative governance framework.</p>
Full article ">
22 pages, 611 KiB  
Article
The Impact and Mechanism of New-Type Urbanization on New Quality Productive Forces: Empirical Evidence from China
by Xiaotian Gao, Xiangwu Yan, Sheng Song and Ning Xu
Sustainability 2025, 17(1), 353; https://doi.org/10.3390/su17010353 - 6 Jan 2025
Viewed by 969
Abstract
The development of new-type urbanization (NTU) represents a crucial strategic approach to fostering new drivers of economic growth. Despite its importance, limited research has explored the effects and underlying mechanisms through which NTU influences new quality productive forces (NQPFs), key indicators of emerging [...] Read more.
The development of new-type urbanization (NTU) represents a crucial strategic approach to fostering new drivers of economic growth. Despite its importance, limited research has explored the effects and underlying mechanisms through which NTU influences new quality productive forces (NQPFs), key indicators of emerging economic dynamism. Addressing this research gap, the present study analyzes panel data from 283 Chinese cities spanning from 2009 to 2022, applying a difference-in-differences (DID) model to empirically evaluate the impact of the New-Type Urbanization Pilot Policy (NTUPP) on NQPFs. The findings reveal that the NTUPP has a significant positive effect on NQPFs, a conclusion that is supported by a series of robustness and endogeneity checks. Specifically, the NTUPP’s implementation corresponds to an average increase of 1.1% in NQPFs. The policy facilitates NQPF growth primarily through mechanisms such as talent agglomeration and optimal resource allocation. Notably, the NTUPP is particularly effective in boosting NQPFs at lower initial levels. Since NQPFs inherently reflect green productivity, NTU’s emphasis on green, low-carbon, and civilizational features markedly amplifies the policy’s positive impact on NQPFs, while NTU’s focus on smart urbanization aspects appears to mitigate this effect. These findings contribute valuable empirical insights from the Chinese context, highlighting the potential of NTU to accelerate new economic growth drivers. Full article
Show Figures

Figure 1

Figure 1
<p>Parallel trend test.</p>
Full article ">Figure 2
<p>Placebo test.</p>
Full article ">
23 pages, 305 KiB  
Article
Digital Economy, Industry–Academia–Research Collaborative Innovation, and the Development of New-Quality Productive Forces
by Minggui Zheng, Shan Yan and Shiqi Xu
Sustainability 2025, 17(1), 318; https://doi.org/10.3390/su17010318 - 3 Jan 2025
Viewed by 1049
Abstract
Under the continuous innovation and widespread application of digital technology, accelerating the formation of new-quality productive forces is an unavoidable theme of the times. Based on a systematic analysis of the logical relationships between the digital economy, industry–academia–research collaborative innovation, and new-quality productive [...] Read more.
Under the continuous innovation and widespread application of digital technology, accelerating the formation of new-quality productive forces is an unavoidable theme of the times. Based on a systematic analysis of the logical relationships between the digital economy, industry–academia–research collaborative innovation, and new-quality productive forces, this article constructs a theoretical analysis framework for the impact of the digital economy on new-quality productive forces. This article also employs spatial econometric techniques and panel threshold models to empirically test the relationships among the three. This study finds that spatial correlation is a significant factor that cannot be ignored in the process of the digital economy and industry–academia–research collaborative innovation empowering the formation of new-quality productive forces. The empowering effects of the digital economy and industry–academia–research collaborative innovation on new-quality productive forces differ, with the former’s effect significantly higher than the latter. The combined effect of both shows a strong synergistic impact on accelerating the formation of new-quality productive forces. Further threshold model tests reveal that both the digital economy and industry–academia–research collaborative innovation have certain thresholds in promoting the development of new productive forces. Only when they achieve synergy and progress together can they maximize their respective roles in driving the development of new productive forces. This research is of great significance for fully leveraging the digital economy to empower the formation of new-quality productive forces, thereby promoting high-quality economic development in China. Full article
12 pages, 5241 KiB  
Article
Qualitative Research of Composite Graphene Membranes Using the Electric Mode in SEM and AFM
by Grzegorz Romaniak, Konrad Dybowski, Łukasz Kołodziejczyk and Paulina Kowalczyk
Materials 2025, 18(1), 163; https://doi.org/10.3390/ma18010163 - 3 Jan 2025
Viewed by 646
Abstract
The development of new graphene-based materials necessitates the application of suitable material imaging techniques, especially for the identification of defects in the graphene structure and its continuity. For this purpose, it is natural to use one of the main properties of graphene—electrical conductivity. [...] Read more.
The development of new graphene-based materials necessitates the application of suitable material imaging techniques, especially for the identification of defects in the graphene structure and its continuity. For this purpose, it is natural to use one of the main properties of graphene—electrical conductivity. In this work, we prepare a 9 cm2 large-area monolayer graphene membrane on porous scaffolding sealed with either GO or rGO. Then, we use electrostatic force microscopy (EFM) AFM mode along with SE and AEE SEM modes to characterize the as-prepared graphene membranes thoroughly. The combination of SEM-AEE and AFM-EFM techniques not only assesses the quality of graphene itself but also characterizes the selectivity and effectiveness of masking graphene layer defects by applying GO or rGO. This makes these methods valuable in optimizing the production of advanced graphene nanocomposites such as semipermeable membranes. Full article
(This article belongs to the Topic Preparation and Application of Polymer Nanocomposites)
Show Figures

Figure 1

Figure 1
<p>Graphene membrane preparation scheme.</p>
Full article ">Figure 2
<p>Graphene membranes. (<b>a</b>)—bare graphene on a porous substrate. (<b>b</b>)—an optical image of graphene on a porous substrate. (<b>c</b>)—rGO selectively sealed graphene membrane.</p>
Full article ">Figure 3
<p>(<b>a</b>)—graphene with line defects on a porous substrate. (<b>b</b>)—selectively sealed graphene membrane.</p>
Full article ">Figure 4
<p>(<b>a</b>–<b>d</b>) graphene membrane sealed with rGO. The left side of the images is covered with sealing material, and the right side is bare graphene on a porous substrate. SEM images, SE mode (<b>a</b>–<b>c</b>), and AEE mode (<b>b</b>,<b>d</b>). (<b>c</b>,<b>d</b>) are the enlarged areas marked with a blue frame.</p>
Full article ">Figure 5
<p>Imaging the effectiveness of covering graphene discontinuities by selectively applied GO. (<b>a</b>)—optical microscopy. (<b>b</b>)—SEM SE and (<b>c</b>)—SEM AEE images of the composite membrane. (<b>d</b>–<b>f</b>)—atomic force microscopy images in topography, EFM, and amplitude modes, respectively.</p>
Full article ">Figure 6
<p>Imaging the effectiveness of covering graphene discontinuities by selectively applied rGO. (<b>a</b>)—optical microscopy. (<b>b</b>)—SEM SE and (<b>c</b>)—SEM AEE images of the composite membrane. (<b>d</b>–<b>f</b>)—atomic force microscopy images in topography, EFM, and amplitude modes, respectively.</p>
Full article ">
24 pages, 9030 KiB  
Article
Spatial Dynamics of Specialized and Sophisticated Small and Medium-Sized Enterprises on New High-Quality Productive Forces from an Evolutionary Economic Geography Perspective
by Huibo Zhong, Mingwei Chu, Yuhang Xia, Keyu Zhai and Xing Gao
Land 2025, 14(1), 2; https://doi.org/10.3390/land14010002 - 24 Dec 2024
Viewed by 576
Abstract
Amidst global economic stagnation, China is undergoing a significant economic transformation by fostering new high-quality productive forces (NHPFs). In this transformative context, specialized and sophisticated small and medium-sized enterprises (SpecSof SMEs) play a critical role. This paper develops a framework from an evolutionary [...] Read more.
Amidst global economic stagnation, China is undergoing a significant economic transformation by fostering new high-quality productive forces (NHPFs). In this transformative context, specialized and sophisticated small and medium-sized enterprises (SpecSof SMEs) play a critical role. This paper develops a framework from an evolutionary economic geography (EEG) perspective to analyze how these SMEs influence NHPFs. The study assesses the impact of specialized and sophisticated SMEs on NHPFs using OLS and addresses potential endogeneity issues through the application of instrumental variables. The results show that the Specialized and Sophistication Index (SSI) positively impacts NHPFs, with its effect strengthening from the company to the municipal level (by about 25%) but weakening at the provincial and national levels (to half of the municipal level), highlighting a clear marginal effect on regional NHPFs. Additionally, the geographically weighted regression (GWR) model was employed to investigate the complex and spatially varied relationships between key characteristics of specialized and sophisticated SMEs and NHPFs. Our findings suggest that while the relationship between SSI and NHPFs is generally positive, it is spatially heterogeneous, arising from variations in regional economic structures, market maturity, and industrial characteristics. This study provides a theoretical framework for understanding regional disparities in NHPF development through SpecSof SMEs and offers empirical evidence to inform region-specific policies and spatial planning strategies. Full article
(This article belongs to the Section Urban Contexts and Urban-Rural Interactions)
Show Figures

Figure 1

Figure 1
<p>Mechanism of SpecSof SMEs’ impact on NHPFs.</p>
Full article ">Figure 2
<p>Spatial and time patterns of NHPFs.</p>
Full article ">Figure 2 Cont.
<p>Spatial and time patterns of NHPFs.</p>
Full article ">Figure 3
<p>Spatial and time patterns of SSI.</p>
Full article ">Figure 3 Cont.
<p>Spatial and time patterns of SSI.</p>
Full article ">Figure 4
<p>NHPFS and SSI trends from 2014 to 2023.</p>
Full article ">Figure 5
<p>Spatial variation of GWR model outputs for the components of growth potential.</p>
Full article ">Figure 6
<p>Spatial variation of GWR model outputs for the components of innovation capacity.</p>
Full article ">Figure 7
<p>Spatial variation of GWR model outputs for digitalization.</p>
Full article ">Figure 8
<p>(<b>a</b>) Correlation of provincial SSI and NHPFs; (<b>b</b>) Correlation of SSI and NHPFs at the municipal level.</p>
Full article ">
20 pages, 1213 KiB  
Article
Research on Disruptive Green Technological Innovation in Agriculture Driven by Low-Carbon Initiatives
by Shizheng Huang and Chunyuan Ke
Sustainability 2024, 16(24), 11230; https://doi.org/10.3390/su162411230 - 21 Dec 2024
Viewed by 746
Abstract
Advancing new productive forces in agriculture requires the adoption of disruptive green technological innovation by agricultural enterprises. This study analyzes the generative mechanisms for promoting disruptive green technological innovation based on the DSR model and examines the moderating role of green governance alliances. [...] Read more.
Advancing new productive forces in agriculture requires the adoption of disruptive green technological innovation by agricultural enterprises. This study analyzes the generative mechanisms for promoting disruptive green technological innovation based on the DSR model and examines the moderating role of green governance alliances. A total of 302 questionnaires were collected from agricultural enterprises in Guangxi, and structural equation modeling was employed for verification. The results indicate that both low-carbon transformation capability and carbon label credibility have a significantly positive impact on disruptive green technological innovation and organizational green learning, with organizational green learning playing a mediating role. Green governance alliances positively moderate the relationship between low-carbon transformation capability, carbon label credibility, and organizational green learning but do not moderate the relationship between low-carbon transformation capability, carbon label credibility, and disruptive green technological innovation. Agricultural enterprises can advance new productive forces and achieve high-quality agricultural economic development by enhancing their low-carbon transformation capability, co-constructing carbon label credibility, and engaging in disruptive green technological innovation. Agricultural enterprises should adopt disruptive green technological innovation, establish carbon certification systems, participate in green learning platforms, and strengthen green governance alliances to promote low-carbon development and enhance market competitiveness. Full article
(This article belongs to the Section Sustainable Agriculture)
Show Figures

Figure 1

Figure 1
<p>Theoretical model.</p>
Full article ">Figure 2
<p>The moderating effect of green governance alliances on the relationship between low-carbon transformation capability and organizational learning.</p>
Full article ">Figure 3
<p>The moderating effect of green governance alliances on the relationship between carbon label credibility and organizational green learning.</p>
Full article ">
Back to TopTop