Shouyang Wang
Biographic Data
| ID | 3703712 |
|---|---|
| NAME | Shouyang Wang |
| GIVEN NAMES | Shouyang |
| FAMILY NAME | Wang |
| SIGNATURE | WANG S |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0001-5773-998X |
| VERIFIED | Yes |
| TOTAL WORKS | 53 |
| TOTAL CITATIONS | 88 |
| AUTHOR COUNT | 53 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 6 |
Forecasting carbon price with Ceemdan-SE-transformer model
The consensus regarding the impact of carbon dioxide emissions on the environment has been widely acknowledged, with market-based mechanisms highlighted in international frameworks like the Paris Agreement. China has actively advanced carbon market development by establishing transparent carbon trading mechanisms to address emission challenges. Accurately forecasting carbon emission rights prices is crucial for supporting enterprise and governmen…
An Interval-Based Transformer Approach for Carbon Future Prices Forecasting
We propose a novel interval-based transformer approach called DKformer to forecast quarterly carbon futures prices by treating interval-valued data as inseparable random sets. Our DKformer model leverages the attention mechanism to capture long-term dependencies and complex dynamics in the carbon market. The model integrates the European economic policy uncertainty (EEPU) index and the climate policy uncertainty (CPU) index, utilizing only lags o…
Spatiotemporal Non‐Stationarity and Driving Mechanisms of Ecological Risk in the Three Gorges Reservoir Area: Integrating Land Use Patterns and Terrain Positioning Into Multi‐Scale Geospatial Modeling
To address the gaps in existing research regarding multiscale coupling mechanisms of ecological risk and integrated analysis across vertical–horizontal dimensions in mountainous reservoir catchments, this study focuses on the Three Gorges Reservoir Area (TGRA) in China and aims to investigate the spatiotemporal patterns of ecological risk and their underlying drivers through an integrated framework that combines land use analysis with risk assess…
Regularized Interval-valued Time Series Modeling
By treating intervals as inseparable sets, this paper proposes sparse machine learning regressions for high-dimensional interval-valued time series. With LASSO or adaptive LASSO techniques, we develop a penalized minimum distance estimation method, which covers point-based estimators are special cases. We establish the consistency and oracle properties of the proposed penalized estimator, regardless of whether the number of predictors grows slowe…
Beyond Visual Appeal: The Impact of Multisensory Experience of Hotel Marketing and Review Images on Sales
Images, with their direct content experience, have become essential in tourists’ narratives of accommodation sharing. Although visual content plays an important role in influencing user decisions, research on hotel images often neglects the significance of sensory elements. Sensory elements in visual content help shape tourists’ perceptions and evaluations of their accommodation experiences. This study explores how sensory elements in marketing a…
Can Official Development Assistance Enhance Social Equality Within Planetary Boundary: Evidence From the Least Developed Countries
Official development assistance (ODA) is an important global partnership strategy for promoting global sustainable development and reducing inequality within and among countries, especially for the least developed countries (LDCs). However, little is known about whether ODA can effectively promote social equality while respecting planetary boundary. Therefore, we establish an integrated “Social equality‐ Planetary boundary‐ODA” framework to inves…
The environmental and economic impacts of India’s emergence as the global manufacturing hub
With the rise of labor costs in China, constraints on resources and environment, and ongoing geopolitical conflicts, the global manufacturing hub is facing relocation. India has emerged as the most likely candidate to undertake industrial relocation. This shift could reshape the global carbon emission landscape. However, ex ante measurement of the environmental effects of such industrial relocation is poorly understood. As an illustrative case, w…
Insights into space tourism discourse on TikTok using a deep visual model and a text mining method: Trends, topics, and public attitudes
Recently, the emergence of commercial space travel products has generated significant interest in space tourism from the public. The primary purpose of this study is to extensively explore the development trends, hot topics, and public attitudes of space tourism, offering broad implications for researchers and stakeholders both theoretically and practically. Thus, a total of 4727 short videos pertaining to space tourism on TikTok were collected. …
Social Cognition-Enhanced Public Opinion Response During Emergencies
Exploring dynamic customer requirement trend of buffet restaurant: A two-stage analysis from online reviews
Purpose Customer expectations and preferences may evolve as they experience more. This study aims to analyze the dynamics of customer requirements (CRs) as customer experience familiarity increases, offering insights for enhancing product-service quality. Design/methodology/approach This study categorizes dynamic requirements into two conversion stages: from new to repeat customers and from repeat to frequent customers. First, crawl online review…
Unlocking the power of multimodal online reviews: A multisensory perspective
Freezing or searing: Unraveling the impact of extreme temperatures on poverty in China
Harnessing AI for renewable energy transition: Threshold effects on China’s economic growth
Assessing the extent and persistence of major crisis events in the crude oil market and economy: Evidence from the past 30 years
This study investigates the extent and persistence of major crisis events in the crude oil market and economy and searches for general rules of event impact. Although the short-term effects of such crises may quickly become evident, their long-term implications can be challenging to uncover. To this end, we analyzed 50 major crisis events across four categories using a Proxy structural vector autoregressive (Proxy-SVAR) model. The results show th…
The environmental impacts and sustainable pathways of the global diamond industry
Mining diamond poses significant and potentially underestimated risks to the environment worldwide. Here, we propose a Diamond Environmental Impacts Estimation (DEIE) model to forecast the environmental indicators, including greenhouse gas (GHG) emissions, mineral waste, and water usage of the diamond industry from 2030 to 2100 in the top diamond production countries under different Shared Socio-economic Pathways (SSPs). The DEIE projection resul…
The impact of Russia–Ukraine war on crude oil prices: An EMC framework
As the second-largest oil producer and natural gas exporter, Russia’s war with Ukraine has severely impacted the energy market. To what extent has the war influenced crude oil prices, and has it altered the long-term dynamics of oil prices? An objective analysis of the effects of the Russia–Ukraine war on the crude oil market can assist relevant entities in developing both short-term emergency strategies and long-term response plans. This study e…
Relaxing fertility policies and delaying retirement age increase China’s carbon emissions
Global corporate tax competition leads to unintended yet non-negligible climate impacts
Global corporate tax competition challenges climate change mitigation
Assessing the impacts of fertility and retirement policies on China’s carbon emissions
The gradual adjustment of fertility and retirement policies in China has social benefits in terms of coping with population aging. However, the environmental consequences of these policies remain ambiguous. Here we compile environmentally extended multiregional input–output tables to estimate household carbon footprints for different population age groups in China. Subsequently, we estimate the age-sex-specific population under different fertilit…
Daily tourism demand forecasting before and during Covid-19: Data predictivity and an improved decomposition-ensemble framework
The global tourism industry is struggling to recover from the COVID-19 pandemic. During the COVID-19 pandemic, daily tourism forecasting is more critical than ever before in supporting decisions and planning. Considering the changes in tourist psyche and behaviour caused by COVID-19, this study attempts to investigate whether the statistical modelling methods can work reliably under the new normal when travel restrictions are eased or lifted. To …
How do tourists perceive churches as tourism destinations? A text mining approach through online reviews
Church tourism has gained popularity due to the historical, artistic, and religious significance of churches, contributing significantly to the social and economic sectors. The destination image of churches plays a crucial role in tourism marketing. However, existing literature predominantly relies on traditional methods to study tourists' perception of churches as tourism destinations, with limited analysis of user‐generated content (UGC) like o…
The energy system transition pathway towards carbon reduction using a model-coupling approach
Enhancing tourism demand forecasting with a transformer-based framework
Daily tourism demand forecasting: The impact of complex seasonal patterns and holiday effects
Daily tourism demand forecasting can provide important implications for the tourism industry. However, there exist limitations in applying traditional methods to forecast daily tourism demand because of the complex seasonal patterns and holiday effects. In this study, we introduce FB Prophet and apply it to the forecasting of daily tourism demand in the Jiuzhai Valley National Park and Macao from Mainland China. The decomposition result of FB Pro…
Forecasting tourist arrivals with machine learning and internet search index
Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach
A decomposition-ensemble approach for tourism forecasting
Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid Covid-19? Mixed-data sampling approach
Global supply-chain effects of Covid-19 control measures
Enhancing tourism demand forecasting with a transformer-based framework
How do individual characteristics and social capital shape users’ continuance intentions of smart wearable products
Potential impacts of China's climate policies on energy security
Effect of strengthened standards on Chinese ironmaking and steelmaking emissions
The potential for reducing China's carbon dioxide emissions: Role of foreign-invested enterprises
Unlocking the power of multimodal online reviews: A multisensory perspective
Freezing or searing: Unraveling the impact of extreme temperatures on poverty in China
Chinese leadership: Provincial perspectives on promotion and performance
This article addresses whether the promotion of China’s provincial leadership can be explained through economic growth or alternative factors (experience, education or having previously held a central government post). We use promotion definitions, based on official administrative rankings and a more accurate reflection of political-governmental power relationships, and five econometric models. Analysis is also located within specific scholarship…
Stochastic stability in one-way flow networks
The potential for reducing China's carbon dioxide emissions: Role of foreign-invested enterprises
Big data in tourism research: A literature review
Chinese leadership: Provincial perspectives on promotion and performance
This article addresses whether the promotion of China’s provincial leadership can be explained through economic growth or alternative factors (experience, education or having previously held a central government post). We use promotion definitions, based on official administrative rankings and a more accurate reflection of political-governmental power relationships, and five econometric models. Analysis is also located within specific scholarship…
Potential impacts of China's climate policies on energy security
Regional development and carbon emissions in China
China announced at the Paris Climate Change Conference in 2015 that the country would reach peak carbon emissions around 2030. Since then, widespread attention has been devoted to determining when and how this goal will be achieved. This study aims to explore the role of China's changing regional development patterns in the achievement of this goal. This study uses the logarithmic mean Divisia index (LMDI) to estimate seven socioeconomic drivers …
The Slowdown in China’s Carbon Emissions Growth in the New Phase of Economic Development
China’s CO2 emissions have plateaued under its commitment to reaching peak carbon emissions before 2030 in order to mitigate global climate change. This commitment is aligned with China’s turn toward more sustainable development, named “the new normal” phase. This study aims to explore the role of possible socioeconomic drivers of China’s CO2 emission changes by using structural decomposition analysis (SDA) for 2002–2017. The results show deceler…
Integrated benefit-cost analysis of China's optimal adaptation and targeted mitigation
Forecasting tourist arrivals with machine learning and internet search index
Conflicts between business and government in bike sharing system
Purpose The purpose of this paper is to elaborate on the interactive conflicts between business and governmental authorities in the regulatory process of an emerging business model: sharing economy. Focusing on bike sharing system, the study also investigates the conflict-handling strategy of bike sharing companies and government regulation. Design/methodology/approach An evolutionary game model is introduced to illustrate the interactive conflic…
Understanding the power of opinion leaders’ influence on the diffusion process of popular mobile games: Travel Frog on Sina Weibo
A decomposition-ensemble approach for tourism forecasting
Global supply-chain effects of Covid-19 control measures
Assessing China’s efforts to pursue the 1.5°C warming limit
Change in the air The 2016 Paris Agreement set the ambitious goals of keeping global temperature rise this century below 2°C, or even better, 1.5°C above preindustrial levels. Substantial interventions are required to meet these goals, particularly for industrialized countries. Duan et al. projected that China will need to reduce its carbon emissions by more than 90% and its energy consumption by almost 40% to do its share in reaching the 1.5°C t…
A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading
The gold market plays a vital role in the world economy. Due to its complex and nonstationary nature, predicting the price of gold is particularly challenging. In this study, a new hybrid forecasting approach named variational mode decomposition (VMD)-iterated cumulative sums of squares (ICSS)-bidirectional gated recurrent unit (BiGRU) is proposed by integrating BiGRU deep learning model, VMD, and iterated cumulative sum of squares algorithm. The…
Forecasting tourism demand with KPCA-based web search indexes
Search query data (SQD) can be helpful in predicting tourism demand by generating web search indexes. However, valuable nonlinear information in SQD may be neglected by researchers. To effectively capture the nonlinear information, we used kernel principal component analysis (KPCA) to extract web search indexes from SQD. Then, several models with KPCA-based web search indexes were developed for tourism demand forecasting. An empirical study was c…
A bibliometric analysis of 30 years of platform research: Developing the research agenda for platforms, the associated technologies and social impacts
Effect of strengthened standards on Chinese ironmaking and steelmaking emissions
Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach
The equivalence of two rational expectations equilibrium economies with different approaches to processing neighbors’ information
Tourism demand forecasting: An ensemble deep learning approach
The availability of tourism-related big data increases the potential to improve the accuracy of tourism demand forecasting but presents significant challenges for forecasting, including curse of dimensionality and high model complexity. A novel bagging-based multivariate ensemble deep learning approach integrating stacked autoencoder and kernel-based extreme learning machine (B-SAKE) is proposed to address these challenges in this study. By using…
Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach
In this study, we propose an adaptive multiscale ensemble (AME) learning approach, which consists of variational mode decomposition (VMD) and least square support vector regression (LSSVR) for seasonal and trend forecasting of tourist arrivals. In the formulation of AME learning approach, the original tourist arrival series is decomposed into the trend, seasonal, and remaining volatility components. Then, ARIMA is used to forecast the trend compo…
From knowledge seeking to knowledge contribution: A social capital perspective on knowledge sharing behaviors in online Q&A communities
Plant-level real-time monitoring data reveal substantial abatement potential of air pollution and CO2 in China’s cement sector
China is the world’s greatest cement producer, generating significant air pollution and CO2 emissions. To combat these impacts, China introduced stricter air pollution standards for the cement industry in 2015, yet no plant-level analysis exists to determine their effectiveness. To analyze the impacts of emission regulations, we coupled 2014–2018 smokestack-level real-time observations with plant-specific information and constructed an hourly bas…
How do individual characteristics and social capital shape users’ continuance intentions of smart wearable products
Economics (26 works) · Computer Science (23 works) · Geography (22 works) · China (20 works) · Business (17 works) · Tourism (16 works) · Diverse Aspects of Tourism Research (13 works) · Natural resource economics (13 works) · Political science (12 works) · Engineering (11 works)