Rongrong Li
Biographic Data
| ID | 3700682 |
|---|---|
| NAME | Rongrong Li |
| GIVEN NAMES | Rongrong |
| FAMILY NAME | Li |
| SIGNATURE | LI R |
| AFFILIATIONS | China University of Petroleum, East China |
| ORCID | 0000-0002-8767-3026 |
| VERIFIED | Yes |
| TOTAL WORKS | 86 |
| TOTAL CITATIONS | 104 |
| AUTHOR COUNT | 86 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 5 |
Short-Chain Fatty Acid Metabolism in Acute Lung Injury and Intervention Strategies from Traditional Chinese Medicine
Artificial Intelligence Innovation and the Global Energy Trilemma: A Cross‐Country Panel Analysis of Conditional Associations
This study examines the associations between artificial intelligence (AI) technology innovation and the three dimensions of the global energy trilemma of security, equity, and environmental sustainability. Drawing on a balanced panel of 61 economies from 2000 to 2023, we utilize the stock of AI patent applications to proxy for R&D intensity and employ two‐way fixed effects models to estimate conditional correlations. The results reveal notable as…
Artificial Intelligence and Energy Resilience: Dynamic Evolution, Developmental Heterogeneity, and the Moderating Roles of Geopolitical Risk and Clean Energy
Enhancing energy resilience contributes to ensuring energy security and stable operation, and artificial intelligence (AI) offers a new technological path. This study explores the relationship between AI and energy resilience using data for 42 countries from 2010 to 2022. First, based on five dimensions—total energy consumption, energy access, energy efficiency, renewable energy, and energy security—this study constructs a comprehensive evaluatio…
Technological innovation and transport carbon emissions in China: Spatial spillovers and production–consumption pathways
Towards sustainable transportation industry in China: Regional carbon efficiency evaluation based on a three-stage DEA-Tobit framework
Sinomenine restrains the proliferation and hyperactivation of B lymphocytes partly by inhibiting interferon regulatory factor 5
Cognitive Automation and Sustainable Development: Global Task‐Level Evidence on Large Language Models and Labor Markets
The rise of large language models (LLMs) is transforming the trajectory of traditional rule‐based automation, while their global impact on the labor market remains largely unexplored. To assess this transition, we develop a novel bottom‐up framework linking detailed task data to occupational structures across a broad spectrum of economies. Our findings reveal that LLM‐driven automation disproportionately impacts roles centered on information proc…
Governance Pathways to Sustainable Development: A Global Analysis of Efficiency, Integrity, and Risk Based on Double Machine Learning and Genetic Algorithm Models
Achieving the Sustainable Development Goals ultimately depends on how effectively states are governed. Using panel data for 41 countries from 2010 to 2023, this study examines how government efficiency, corruption control, and political risk influence sustainable development, and whether governance digitalization moderates these relationships. Three main conclusions were drawn from the use of double machine learning algorithms. First, government …
Energy transition and environmental sustainability: The interplay with natural resource rents and trade openness
Amid escalating global environmental challenges, sustainable development has become a critical priority, with energy transition playing a key role in reducing ecological degradation. This study investigates the connection between energy transition and environmental sustainability, with particular attention to its role in altering human demand on natural ecosystems. Leveraging a dataset that encompasses 162 countries over the period from 1990 to 2…
Does renewable energy reduce energy intensity? A matter of income inequality
This study investigates the complex relationships between income inequality, renewable energy utilization, and energy efficiency across 104 countries from 2010 to 2020. By employing the Panel Threshold Model and Unconditional Quantile Regression based on the Re-centered Influence Function, the analysis focuses on the moderating role of income inequality in shaping the impact of renewable energy consumption on energy intensity. The results indicat…
Does Artificial Intelligence (AI) enhance green economy efficiency? The role of green finance, trade openness, and R&D investment
Marine fisheries constitute a crucial component of global green development, where artificial intelligence (AI) plays an essential role in enhancing green economic efficiency associated with marine fisheries. This study utilizes panel data from 11 coastal provinces and municipalities in China from 2009 to 2020, employing the entropy method and the super-efficiency EBM model to calculate the AI index and the green economic efficiency of marine fis…
The impact of political, financial, and economic risks on energy transition: The role of natural resource rents
The global emphasis on energy transition arises from the recognition of fossil fuel reliance exacerbating environmental degradation. The transition to cleaner, renewable energy sources stands central in mitigating climate change and promoting sustainability. This paper explores the influence of country risks, particularly political, financial, and economic, on energy transition while considering the role of natural resource rents. Using data span…
Financial risk and renewable energy: Exploring the influence of urbanization and natural resource rents across 112 countries
This study investigates the intricate relationship between financial risk and renewable energy consumption, incorporating the moderating effects of urbanization and natural resource rents. Utilizing a global panel dataset comprising 112 countries, the study applies econometric techniques, including fixed-effects models, moderation effect models, and panel threshold models, to investigate how varying levels of financial risk impact renewable energ…
Digital economy and carbon efficiency: The roles of population aging and human capital
Digital technologies have changed consumption patterns and economic growth, increased energy consumption and raised concerns about their environmental impact. This study delves into this multifaceted dynamic by employing data sourced from 30 provinces across China. Employing both fixed effects regression and panel threshold regression models, the analysis scrutinizes these dynamics through a lens tightly aligned with labor force considerations, n…
Geopolitical risks and carbon emissions: The mediating effect of industrial structure upgrading
This study investigates the complex relationship between geopolitical risks and carbon emissions, highlighting the mediating role of industrial structure upgrading. A threshold effect model combined with bootstrap estimation is applied to panel data from 41 countries. The results indicate that geopolitical risks significantly influence carbon emissions, with divergent impacts observed across different economic contexts. In high-income countries, …
Evolving landscape of female cancers along with attributable risk factors in China from 1990 to 2021, and projections to 2040
Background: Female cancers pose a significant health burden in China, and this study identified and projected epidemiological trends of these cancers. Methods: We extracted incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) data of female breast, cervical, uterine, and ovarian cancers in China from the Global Burden of Disease (GBD) Study 2021. The estimated annual percentage change (EAPC) and the age-period-cohort (APC)…
Association Between Pornography Use, Sexism, and Sexual Violence Myth Acceptance in Chinese Men: The Moderating Effect of Perceived Realism
Pornography is spreading more and more widely due to websites, applications, and social media. It has attracted the attention of a large number of researchers who are sometimes divided on the impact of pornography. However, the relationship between pornography and sexual violence myths has received little scholarly attention in China. Based on the 3AM model and previous research, the study examined hostile sexism (HS) as a mediator and perceived …
Bridging Inequality and Energy Transition: Leveraging Natural Resource Rents to Achieve SDG 1, SDG 7, and SDG 10
Achieving a sustainable and inclusive energy transition remains a pressing global challenge, particularly for resource‐dependent economies where energy structures and income distribution are closely intertwined. While prior studies have typically examined either the link between natural resource rents and energy transition or that between inequality and energy transition, few have analyzed the joint relationship among these three factors or explo…
Can Technology Offset the Carbon Costs of Protectionism? The Role of Information and Communication Technology in Achieving SDG 13
In the face of growing global trade protectionism and escalating climate change, this study investigates whether Information and Communication Technology (ICT) can help mitigate the carbon costs associated with protectionist trade policies, with particular attention to advancing Sustainable Development Goal 13 (Climate Action). Although there is existing research on the individual relationships between trade policy, ICT, and carbon emissions, emp…
How Does AI Technology Innovation Drive Carbon Emission Efficiency? A Machine Learning–Based Meta‐Frontier Analysis Across 75 Countries
Amid global disparities in technological advancement and carbon emissions, this study evaluates the role of artificial intelligence (AI) technology innovation in improving carbon emission efficiency. AI innovation is assessed using country–year patent data, distinguishing between technology‐oriented and application‐oriented domains. To measure carbon emission efficiency while accounting for technological heterogeneity across countries, we develop…
Artificial Intelligence and Environmental Sustainability: Investigating the AI ‐ EKC Nexus for SDG 7 and SDG 13
This study investigates the nonlinear impacts of artificial intelligence (AI) on environmental sustainability across 81 countries from 2000 to 2020. It constructs a composite AI index using an entropy‐based TOPSIS approach and evaluates long‐run associations with panel techniques that accommodate nonstationarity and cross‐sectional dependence. The evidence points to an Environmental Kuznets Curve (EKC) pattern linked to AI. Broader AI use initial…
Leveraging Economic Efficiency for CO 2 Reduction and Energy Transition: The Role of Climate Vulnerability, GVC Integration, Digitalization and Energy Intensity
This study investigates the nonlinear effects of economic efficiency on CO 2 reduction and energy transition, with a particular focus on advancing SDGs 7, 9, and 13. Using panel data from 61 countries, the analysis applies a slacks‐based measure of directional distance functions (SBM‐DDF) and threshold regression models to explore the complex relationship between economic efficiency, CO 2 emissions, and energy transition. Key findings reveal that…
Artificial Intelligence and Corporate Sustainability: Shaping the Future of ESG in the Age of Industry 5.0
The growing concern about the disruptive potential of new technologies compels us to reconsider the impact of AI on sustainability. This study examines the development of AI within Chinese listed companies from two key perspectives: technology‐driven innovation and institutional responses, and analyzes their effects on corporate sustainability. The findings reveal that (i) AI significantly enhances corporate sustainability, particularly within th…
From Algorithms to Sustainability: How AI Drives Renewable Energy Through Technology, Institutions, and Equity
Artificial intelligence (AI) is a key driver of the global shift toward sustainable energy, yet its influence mechanisms remain unclear. Using panel data for 52 countries (2010–2022), this study constructs a multidimensional AI index through a Grey Wolf optimized projection pursuit model and applies fixed‐effects, quantile, and dynamic threshold analyses to assess its impact on per capita renewable energy consumption (REPC). The results reveal th…
Achieving Sustainable Development: Bridging Economic Growth and Environmental Resilience Through EKC and LCC
This study investigates the interplay between economic growth and environmental sustainability by exploring the Environmental Kuznets Curve (EKC) and Environmental Load Capacity Curve (LCC) hypotheses on a global scale. Leveraging panel data from 146 countries spanning 1990–2022, the research employs advanced econometric models to analyze how key factors—renewable energy consumption, technological innovation, trade openness, and population aging—…
Free trade and carbon emissions revisited: The asymmetric impacts of trade diversification and trade openness
In the context of trade protectionism impacting economic and environmental sustainability, a more comprehensive understanding of the impact of trade on carbon emissions is critical to economic and environmental sustainability. Existing literature mainly explores the impact of trade on carbon emissions from the perspective of trade openness, neglecting the perspectives of trade diversification and trade direction. This study aims to fill this gap …
Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation , AI infrastructure, and AI market advantage
This study explores the impact of artificial intelligence (AI) on sustainable development across 51 countries during urbanization. Using panel data, the study examines AI's effects on sustainable development through three dimensions: R&D innovation, infrastructure, and market advantage. The results demonstrate that AI promotes sustainable development, with AI R&D innovation exerting the strongest influence, followed by AI infrastructure, whereas …
Rethinking Sustainability: Human Development and Ecological Footprint Under Deglobalization Pressures
The accelerating global push for sustainable development has intensified debates over the compatibility between human development and environmental sustainability. While the Human Development Index (HDI) captures improvements in life expectancy, education, and income, it often coincides with heightened ecological pressures, as measured by ecological footprint (EF). This paper revisits the linkage between human development and ecological sustainab…
Exploring the impact of high speed railways on the spatial redistribution of economic activities - Yangtze River Delta urban agglomeration as a case study
Artificial Intelligence and Corporate Sustainability: Shaping the Future of ESG in the Age of Industry 5.0
The growing concern about the disruptive potential of new technologies compels us to reconsider the impact of AI on sustainability. This study examines the development of AI within Chinese listed companies from two key perspectives: technology‐driven innovation and institutional responses, and analyzes their effects on corporate sustainability. The findings reveal that (i) AI significantly enhances corporate sustainability, particularly within th…
Are low-carbon emissions in the South at the cost of high-carbon emissions in North China? A novel assessment
A novel evaluation framework for China’s Environmental-Economic impacts by global trade
Natural Resource Rents and Energy Transition: Overcoming Barriers to Achieve Affordable and Clean Energy (Sustainable Development Goal 7)
Achieving Affordable and Clean Energy (SDG 7) requires a global shift from fossil fuel dependency to sustainable energy sources, yet the role of natural resource rents (NRR) in this transition is paradoxically understudied. Moving beyond linear assumptions, this study uncovers a threshold effect in the NRR‐energy transition nexus: while moderate rents may fund clean energy investments, excessive dependence triggers a “resource curse” that locks n…
Can energy poverty be eradicated by project aid? Evidence from African countries
While the main task of electricity development in other countries of the world is to expand the production of electricity or to improve the way it is generated, the problems faced by sub‐Saharan Africa (SSA) countries are more immediate and urgent ‐ here less than half of the population has access to electricity. This study aims to examine whether aid projects can alleviate energy poverty. Since the assisted power facilities will affect neighbour…
How Does AI Technology Innovation Drive Carbon Emission Efficiency? A Machine Learning–Based Meta‐Frontier Analysis Across 75 Countries
Amid global disparities in technological advancement and carbon emissions, this study evaluates the role of artificial intelligence (AI) technology innovation in improving carbon emission efficiency. AI innovation is assessed using country–year patent data, distinguishing between technology‐oriented and application‐oriented domains. To measure carbon emission efficiency while accounting for technological heterogeneity across countries, we develop…
Artificial Intelligence and Environmental Sustainability: Investigating the AI ‐ EKC Nexus for SDG 7 and SDG 13
This study investigates the nonlinear impacts of artificial intelligence (AI) on environmental sustainability across 81 countries from 2000 to 2020. It constructs a composite AI index using an entropy‐based TOPSIS approach and evaluates long‐run associations with panel techniques that accommodate nonstationarity and cross‐sectional dependence. The evidence points to an Environmental Kuznets Curve (EKC) pattern linked to AI. Broader AI use initial…
Industrial Robots and Urban Carbon Emissions: Exploring Mechanisms and Implications
Urbanization, a dominant trend in global development, is integral to economic growth and social transformation but remains a primary driver of carbon emissions, threatening ecological stability and climate goals. This study investigates the potential of industrial robots to mediate the nexus between urban expansion and carbon emissions, aligning with SDG 9, 11, and 13, which focus on industry innovation, sustainable cities, and climate action. Us…
Renewable energy and sustainable development goals: Insights from latent dirichlet allocation thematic and bibliometric analysis
This research conducts a comprehensive analysis of the intricate relationship between renewable energy and the sustainable development goals (SDGs). Employing diverse methodologies including latent dirichlet allocation (LDA) topic modeling, bibliometrics, citation analysis, and regression modeling, the study explores the evolving landscape of renewable energy research and its implications for SDGs. The analysis identifies a pronounced scholarly i…
Does official development assistance alleviate the environmental pressures during the urbanization of recipient countries? Evidence from the sub-Saharan Africa countries
Achieving Sustainable Development: Bridging Economic Growth and Environmental Resilience Through EKC and LCC
This study investigates the interplay between economic growth and environmental sustainability by exploring the Environmental Kuznets Curve (EKC) and Environmental Load Capacity Curve (LCC) hypotheses on a global scale. Leveraging panel data from 146 countries spanning 1990–2022, the research employs advanced econometric models to analyze how key factors—renewable energy consumption, technological innovation, trade openness, and population aging—…
Bridging energy transition and income inequality: The moderating effect of institutional transparency
The emergence of the United Nations' Sustainable Development Goals has instigated a transformative phase in policy formulation, emphasizing the multifaceted approach required to attain these objectives. Central to this pursuit is the management of diverse goals and their intricate interactions. This paper rigorously examines the pivotal role of institutional transparency in the nexus between energy transition and income inequality across 127 coun…
Exploring the impact of geopolitics on the environmental Kuznets curve research
Environmental Kuznets curve (EKC) is one of the key theories of economic and environmentally sustainable development. Has the change in geopolitics in recent years affected the international collaboration in the study of the EKC? Based on the publications on the EKC included in the Web of Science, a case study of recent changes in China–US collaboration on the EKC is conducted to explore the impact of geopolitical changes on international collabo…
The impact of globalization on the decoupling of water consumption and economic growth in BRICS and N11 countries—Linear and nonlinear approaches
In the context of globalization, the 2030 sustainable development goals pose a huge challenge to the coordinated development of economy and environment in emerging economies. The purpose of this article is to investigate whether globalization contributes to balance water consumption and economic growth in emerging economies. China is the largest developing country and the largest trader of goods in the world. From holistic and representative pers…
Artificial Intelligence for Alleviating Energy Poverty: Pathways Toward Sustainable and Renewable Energy Transitions
Energy poverty remains a critical barrier to sustainable development, particularly in underdeveloped and emerging economies. This study investigates how artificial intelligence (AI) can alleviate energy poverty and promote the transition to renewable energy. Using panel data from 89 countries covering the period 2010–2022, we developed a comprehensive AI index through a projection pursuit model optimized by the sparrow search algorithm. Fixed‐eff…
Trade openness helps move towards carbon neutrality—Insight from 114 countries
In order to better understand the impact of trade openness and foreign direct investment (FDI) on carbon neutrality (economic growth without increasing carbon emissions), linear fully modified ordinary least squares model and non‐linear panel threshold regression model are applied to explore the impact of trade openness and FDI on economic growth and carbon emissions in 114 countries. The results of the Tapio decoupling model showed that the deco…
Financing Constraints and Firm’s Productivity Under the Covid-19 Epidemic Shock: Evidence of A-Shared Chinese Companies
Impact of foreign aid on the ecological sustainability of sub-Saharan African countries
Mahuang-Xixin-Fuzi decoction reduces the infection of influenza A virus in Kidney-Yang deficiency syndrome mice
Exploring the impact of high speed railways on the spatial redistribution of economic activities - Yangtze River Delta urban agglomeration as a case study
A study of farmers' flood perceptions based on the entropy method: An application from Jianghan Plain, China
Using survey data from 280 farmers in Jianghan Plain, China, this paper establishes an evaluation index system for three dimensions of farmers' flood perceptions and then uses the entropy method to estimate their overall flood perception. Farmers' flood perceptions exhibit the following characteristics: (i) their flood-occurrence, flood-prevention, and overall flood perceptions gradually increase with age, whereas their flood-effects perception g…
Decoupling analysis of economic growth from water use in City: A case study of Beijing, Shanghai, and Guangzhou of China
Determinants of Decoupling Economic Output from Carbon Emission in the Transport Sector: A Comparison Study of Four Municipalities in China
Quantitative analysis on decoupling between economic output, carbon emission, and the driving factors behind decoupling states can serve to make the economy grow without increasing carbon emission in China's transport sector. In this work, we investigate the decoupling states and driving factors of decoupling states in the transport sector of China's four municipalities (Beijing, Shanghai, Tianjin, and Chongqing) through combining the Tapio decou…
Construction of the Scale-Specific Resilience Index to Facilitate Multiscale Decision Making in Disaster Management: A Case Study of the 2015 Nepal Earthquake
Study on the Oxygen Enrichment Effect of Individual Oxygen-Supply Device in a Tunnel of Plateau Mine
Complex characteristics of the plateau environment such as low oxygen content seriously restrict the exploitation of abundant mineral resources in plateau areas. To regulate the hypoxia environment and improve the comfort of workers engaged in intense physical labor like tunnel excavation operations in plateau mines, an individual oxygen-supply device for tunnel of plateau mine was proposed to create local oxygen enrichment in the area around the…
Per-capita carbon emissions in 147 countries: The effect of economic, energy, social, and trade structural changes
Characterizing the complex influence of the urban built environment on the dynamic population distribution of Shenzhen, China, using geographically and temporally weighted regression
Big data can provide new insights for smart city planning. This study exploits mobile-phone locating-request (MPLR) data as a proxy for real-time intra-urban population distribution. It models the relationship between the dynamic population distribution and the urban built environment using geographically and temporally weighted regression (GTWR), which can account for spatial and temporal non-stationarity simultaneously. A case study is undertak…
The influence of urban form on surface urban heat island and its planning implications: Evidence from 1288 urban clusters in China
Urbanization and water consumption at national- and subnational-scale: The roles of structural changes in economy, population, and resources
Numerical Analysis on the Thermal Performance in an Excavating Roadway with Auxiliary Ventilation System
A steady and proper thermal environment in deep underground is imperative to ensure worker health and production safety. Understanding the thermal performance in the roadway is the premise of temperature prediction; ventilation design; and improvement in cooling efficiency. A full coupled model incorporated with a moving mesh method was adopted; reflecting the dynamic condition of roadway construction. This study revealed the characteristics of t…
Revisiting the Existence of EKC Hypothesis under Different Degrees of Population Aging: Empirical Analysis of Panel Data from 140 Countries
Population aging and environmental sustainability have become two hot topics in the world today. To clarify whether the Environmental Kuninets Curve (EKC) hypothesis between the economy and the environment is still valid in the context of population aging is the key to reveal the complexity of social-ecological systems in aging societies. So far, the impact of population aging on the environment has not been clear. To this end, an empirical analy…
Cognitive impairment assessed by Mini-Mental State Examination predicts all-cause and CVD mortality in Chinese older adults: A 10-year follow-up study
Objective: Cognitive impairment (CI) has been demonstrated as a useful proxy measure of mortality in Western populations. However, the predictive value of CI in Chinese populations is unknown. We aimed to explore whether CI is independently associated with increased long-term all-cause and cardiovascular disease (CVD) mortality in Chinese older adults and the association of performance in specific MMSE sub-domains to subsequent mortality. Methods…
Emissions in maritime transport: A decomposition analysis from the perspective of production-based and consumption-based emissions
Impact of the Covid-19 pandemic on research on marine plastic pollution – A bibliometric-based assessment
Germany's contribution to global carbon reduction might be underestimated – A new assessment based on scenario analysis with and without trade
Does urbanization redefine the environmental Kuznets curve? An empirical analysis of 134 Countries
The impact of energy efficiency on carbon emissions: Evidence from the transportation sector in Chinese 30 provinces
Study on the Optimization and Oxygen-Enrichment Effect of Ventilation Scheme in a Blind Heading of Plateau Mine
There are abundant mineral resources in plateau areas, but it is difficult to extract them safely because the problem of hypoxia in plateau mines seriously affects the life and health of workers. In order to address the problem of hypoxia in the blind heading of a plateau metal mine, a three-dimensional roadway model was established based on field data of the Pulang copper mine in Yunnan province, China. The computational fluid dynamics (CFD) met…
Financing Constraints and Firm’s Productivity Under the Covid-19 Epidemic Shock: Evidence of A-Shared Chinese Companies
Does official development assistance alleviate the environmental pressures during the urbanization of recipient countries? Evidence from the sub-Saharan Africa countries
Impact of foreign aid on the ecological sustainability of sub-Saharan African countries
Revisiting the environmental kuznets curve hypothesis in 208 counties: The roles of trade openness, human capital, renewable energy and natural resource rent
Research on the Countermeasures to Promote the Optimal Allocation of Public Service Resources under Population Mobility
At the beginning of the establishment of Chinese household registration system, urban public services were linked to the household registration system and only provided to urban residents considering the actual supply capacity of cities. This move was also to adapt to the planned economy and industrial development needs. With the changing times and the needs of economic development, population flow policy has been lifted and population flow has a…
Energy, Environment, Economic Growth (54 works) · Economics (51 works) · Environmental Impact and Sustainability (28 works) · Natural resource economics (27 works) · Energy, Environment, and Transportation Policies (24 works) · Geography (24 works) · Sustainable development (24 works) · Business (22 works) · Ecology (22 works) · Economic growth (18 works)