The increasing complexity of China’s electricity market creates substantial challenges for settlement automation,data consistency,and operational scalability.Existing provincial settlement systems are fragmented,lack...The increasing complexity of China’s electricity market creates substantial challenges for settlement automation,data consistency,and operational scalability.Existing provincial settlement systems are fragmented,lack a unified data structure,and depend heavily on manual intervention to process high-frequency and retroactive transactions.To address these limitations,a graph-based unified settlement framework is proposed to enhance automation,flexibility,and adaptability in electricity market settlements.A flexible attribute-graph model is employed to represent heterogeneousmulti-market data,enabling standardized integration,rapid querying,and seamless adaptation to evolving business requirements.An extensible operator library is designed to support configurable settlement rules,and a suite of modular tools—including dataset generation,formula configuration,billing templates,and task scheduling—facilitates end-to-end automated settlement processing.A robust refund-clearing mechanism is further incorporated,utilizing sandbox execution,data-version snapshots,dynamic lineage tracing,and real-time changecapture technologies to enable rapid and accurate recalculations under dynamic policy and data revisions.Case studies based on real-world data from regional Chinese markets validate the effectiveness of the proposed approach,demonstrating marked improvements in computational efficiency,system robustness,and automation.Moreover,enhanced settlement accuracy and high temporal granularity improve price-signal fidelity,promote cost-reflective tariffs,and incentivize energy-efficient and demand-responsive behavior among market participants.The method not only supports equitable and transparent market operations but also provides a generalizable,scalable foundation for modern electricity settlement platforms in increasingly complex and dynamic market environments.展开更多
During 13 to 16 January 2026,with 148 participating nations,rising global relevance and a marked increase in visitor quality,Heimtextil 2026 stood for stability and reliability in a volatile market environment.Once ag...During 13 to 16 January 2026,with 148 participating nations,rising global relevance and a marked increase in visitor quality,Heimtextil 2026 stood for stability and reliability in a volatile market environment.Once again,3,000 exhibitors from across the globe placed their trust in the industry’s central platform in Frankfurt,presenting current collections,materials and textile solutions for holistic interior design to approximately 47,000 buyers.Under the motto“Lead the Change”,Heimtextil brought evolving market dynamics,Artificial Intelligence(AI)and new business opportunities to life.The focus was on progressive design approaches,visionary talents,functional textiles and new hospitality concepts shaping the future of interior design.A tangible sense of confidence and a clear commitment to Heimtextil as a strong industry partner resonated throughout the exhibition halls.展开更多
To gain an in-depth understanding of China’s urban labor market,the Institute of Population and Labor Economics at the Chinese Academy of Social Sciences(IPLE-CASS)conducted the fifth wave of the China Urban Labor Su...To gain an in-depth understanding of China’s urban labor market,the Institute of Population and Labor Economics at the Chinese Academy of Social Sciences(IPLE-CASS)conducted the fifth wave of the China Urban Labor Survey in 2023,which covers eight major representative cities.The survey collected 9,122 household questionnaires and 26,145 individual questionnaires from 381 neighborhood committees.Based on this data,the report systematically analyzes employment,wages,educational attainment,and social security among China’s urban workforce.Key findings include an inverted U-shaped age pattern of labor force participation,with a widening gender gap after childbearing age.Additionally,job search methods combine market-based channels with traditional social networks.Notably,the gender wage gap persists and widens over the life cycle,while employed women now have higher average years of schooling than men.Rural-to-urban migrants show higher labor force participation rates but remain disadvantaged in wages,education,and social security coverage.Thus,this survey provides a comprehensive picture of the structural characteristics and challenges of China’s urban labor market,providing a solid data foundation for academic research and public policy design.展开更多
This study integrates multiple sources of data(transaction data,policy text,public opinion data)with visualization techniques(such as heat maps,time-series trend charts,3D building brochures)to construct an analysis f...This study integrates multiple sources of data(transaction data,policy text,public opinion data)with visualization techniques(such as heat maps,time-series trend charts,3D building brochures)to construct an analysis framework for the Chengdu real estate market.By using the Adaptive Neuro-Fuzzy Inference System(ANFIS)prediction model,spatial GIS(Geographic Information System analysis)analysis,and interactive dashboards,this study reveals market differentiation,policy impacts,and changes in demand structure,thereby providing decision support for the government,enterprises,and homebuyers.展开更多
After securing a market for their dried red chilli peppers in China,elated farmers in Uganda are expanding the spicy crop cultivation to thousands of acres.China’s increasing appetite for international cuisine and sp...After securing a market for their dried red chilli peppers in China,elated farmers in Uganda are expanding the spicy crop cultivation to thousands of acres.China’s increasing appetite for international cuisine and spices has created a most welcome demand for high-quality chillies.And given Uganda’s unique climate and soil conditions that allow for diverse chilli varieties,the East African country has a competitive edge.This has led to Uganda and China now having trade agreements in place,facilitating exports.展开更多
Archroma,a global leader in specialty chemicals focused on sustainable solutions,is excited to announce its debut participation in Denimsandjeans Egypt,taking place on January 19–20,2026 at the InterContinental Citys...Archroma,a global leader in specialty chemicals focused on sustainable solutions,is excited to announce its debut participation in Denimsandjeans Egypt,taking place on January 19–20,2026 at the InterContinental Citystars Cairo.In its first year at the show,Archroma will showcase its low-impact denim solutions,designed to help brands and mills advance sustainability without compromising aesthetics,quality or performance.“With Egypt emerging as a strategic denim sourcing market,there is a clear opportunity to accelerate more sustainable production.Archroma’s innovations are designed to support this growth with scalable,low impact solutions,”commented Dhirendra Gautam,Vice President,Commercial,Archroma.展开更多
The rapid development of electricity retail market has prompted an increasing number of electricity consumers to sign green electricity contracts with retail electricity companies,which poses greater challenges for th...The rapid development of electricity retail market has prompted an increasing number of electricity consumers to sign green electricity contracts with retail electricity companies,which poses greater challenges for the market service for green energy consumers.This study proposed a two-stage feature extraction approach for green energy consumers leveraging clustering and termfrequency-inverse document frequency(TF-IDF)algorithms within a knowledge graph framework to provide an information basis that supports the green development of the retail electricity market.First,the multi-source heterogeneous data of green energy consumers under an actual market environment is systematically introduced and the information is categorized into discrete,interval,and relational features.A clustering algorithm was employed to extract features of the trading behavior of green energy consumers in the first stage using the parameter data of green retail electricity contracts.Then,TF-IDF algorithm was applied in the second stage to extract features for green energy consumers in different clusters.Finally,the effectiveness of the proposed approach was validated based on the actual operational data in a southern province of China.It is shown that the most significant discrepancy between the retail trading behaviors of green energy consumers is the power share of green retail packages,whose averaged values are 25.64%,50%,39.66%,and 24.89%in four different clusters,respectively.Additionally,power supply bureaus and electricity retail companies affects the behavior of the green energy consumers most significantly.展开更多
As the power system transitions to a new green and low-carbon paradigm,the penetration of renewable energy in China’s power system is gradually increasing.However,the variability and uncertainty of renewable energy o...As the power system transitions to a new green and low-carbon paradigm,the penetration of renewable energy in China’s power system is gradually increasing.However,the variability and uncertainty of renewable energy output limit its profitability in the electricity market and hinder its market-based integration.This paper first constructs a wind-solar-thermalmulti-energy complementary system,analyzes its external game relationships,and develops a bi-level market optimization model.Then,it considers the contribution levels of internal participants to establish a comprehensive internal distribution evaluation index system.Finally,simulation studies using the IEEE 30-bus system demonstrate that the multi-energy complementary system stabilizes nodal outputs,enhances the profitability of market participants,and promotes the market-based integration of renewable energy.展开更多
The emergence of smart grids in India is propelled by an intricate interaction of market dynamics,regulatory structures,and stakeholder obligations.This study analyzes the primary factors that are driving the widespre...The emergence of smart grids in India is propelled by an intricate interaction of market dynamics,regulatory structures,and stakeholder obligations.This study analyzes the primary factors that are driving the widespread use of smart grid technologies and outlines the specific roles and obligations of different stakeholders,such as government entities,utility companies,technology suppliers,and consumers.Government activities and regulations are crucial in facilitating the implementation of smart grid technology by offering financial incentives,regulatory assistance,and strategic guidance.Utility firms have the responsibility of implementing and integrating smart grid infrastructure,with an emphasis on improving the dependability of the grid,minimizing losses in transmission and distribution,and integrating renewable energy sources.Technology companies offer the essential hardware and software solutions,which stimulate creativity and enhance efficiency.Consumers actively engage in the energy ecosystem by participating in demand response,implementing energy saving measures,and adopting distributed energy resources like solar panels and electric vehicles.This study examines the difficulties and possibilities in India’s smart grid industry,highlighting the importance of cooperation among stakeholders to build a strong,effective,and environmentally friendly energy future.展开更多
With climate change becoming direr and the WTO losing its teeth at 30,experts renew call for green collaboration among the world’s three largest economies.AS competition intensifies in the global dairy product market...With climate change becoming direr and the WTO losing its teeth at 30,experts renew call for green collaboration among the world’s three largest economies.AS competition intensifies in the global dairy product market,many foreign dairy companies are focusing on China."China is the best market to debut breakthrough products,"said Bruno Chevot,food and beverage multinational Danone China’s president for North Asia and Oceania.展开更多
This study was designed to determine factors that influence market performance of avocado fruits among smallholder farmers in Mbeya and Songwe regions. A cross section research design entailing 209 farmers from five (...This study was designed to determine factors that influence market performance of avocado fruits among smallholder farmers in Mbeya and Songwe regions. A cross section research design entailing 209 farmers from five (5) districts of two (2) regions and 15 key informants;5 local service providers (LSP), 5 traders/brokers and 5 district extension officers (DEO) were involved in the study. Random selection procedures were used to select avocado producers and purposive selection procedures were used to select key informants. The study employed survey questionnaires to collect data from avocado farmers and structured interview to collect data from key informants. Collected data were analyzed with an aid of descriptive statistics and linear regression model was used to determine significant factors that determine market prices of avocado fruits among smallholder farmers. The demographic characteristics of avocado farmers showed that;61.2% of farmers had age between 36 to 59 years old, 84.7% were married, 74.6% had primary education level, average number of 5 members of the family, average 4.3 acres of owned land and 1.8 acres planted with avocado. Moreover, findings showed that 90.9% grew improved avocado varieties. Farm gate (88.5%) was the major market outlet chosen by avocado farmers. Local merchants and processors were the major buyers of the produced avocado. Results from linear regression analysis showed that variety grown (P P P P < 0.05) were factors that statistically influenced market prices for avocado fruits. The study concluded that despite the remarkable contributions to livelihood of the farmers yet, it is highly fragile on market prices. Therefore, the study recommends the need to establish market systems that will govern avocado fruits marketing for sustainability of the sub-sector.展开更多
Inmyshow Digital Technology(Group)Company(IMS),a leading enterprise in the digital economy,debuted at the 22nd China-ASEAN Expo(CAEXPO)by presenting its innovative achievements such as the AIGC marketing platform“Ins...Inmyshow Digital Technology(Group)Company(IMS),a leading enterprise in the digital economy,debuted at the 22nd China-ASEAN Expo(CAEXPO)by presenting its innovative achievements such as the AIGC marketing platform“Inspiration Island”and the“TopKlout Summit,”which showcased its technological breakthroughs and practical experience in the fields of intelligent content generation,cyber celebrity marketing,and cross-border digital marketing.展开更多
This article analyzes the predictability of market betas concerning cryptocurrency assets and evaluates the efficiency of beta-hedged,market-neutral portfolios.We forecast 1-year-ahead market betas using various estim...This article analyzes the predictability of market betas concerning cryptocurrency assets and evaluates the efficiency of beta-hedged,market-neutral portfolios.We forecast 1-year-ahead market betas using various estimating methods,including ordinary least squares(OLS)and Vasicek’s Bayesian shrinkage estimator,and assess their impact on portfolio variance reduction across cryptomarket indices.Our findings indicate that while standard OLS betas explain significantly less of the variation in future betas for cryptoassets compared to US stocks,slope winsorization and Bayesian shrinkage improve prediction accuracy.The results suggest that beta-hedged portfolios reduce variance for approximately 17%of the universe,with the Broad Digital Market Index demonstrating the best hedging efficiency.These findings underscore the significant challenges of developing effective hedging strategies in the cryptocurrency market,emphasizing the importance of idiosyncratic risk in crypto returns and the need for appropriate market index representation.展开更多
With the in-depth advancement of China’s dual carbon goals,the national carbon emissions trading market has become a core policy tool for achieving emission reduction targets.However,the current carbon market remains...With the in-depth advancement of China’s dual carbon goals,the national carbon emissions trading market has become a core policy tool for achieving emission reduction targets.However,the current carbon market remains predominantly spot-based,facing challenges such as limited financial products,restricted market participants,immature carbon pricing mechanisms,and insufficient liquidity,which constrain its resource allocation and risk management functions.Based on the spirit of the“Opinions on Promoting Green Low-Carbon Transformation and Strengthening National Carbon Market Construction”issued by the General Office of the CPC Central Committee and the General Office of the State Council,this paper focuses on the challenges faced during the implementation of the dual control system for carbon emissions in the“Fifteenth Five-Year Plan”period,with emphasis on analyzing the development bottlenecks of the carbon market.It proposes accelerating the launch of carbon futures,carbon options and other derivatives,expanding the scope of financial institution participation,improving carbon market infrastructure,and establishing a cross-departmental coordinated policy framework.By drawing on international experience and combining domestic pilot practices,this aims to provide an operational and implementable pathway for the development of China’s carbon market,further enhancing the supporting role of the carbon market in green low-carbon transformation.展开更多
This study examines the impact of futures trading on market efficiency and price discovery in the U.S.real estate investment trusts(REITs)market.First,we present inconclusive evidence regarding efficiency improvement ...This study examines the impact of futures trading on market efficiency and price discovery in the U.S.real estate investment trusts(REITs)market.First,we present inconclusive evidence regarding efficiency improvement in the U.S.REIT spot market following the introduction of futures trading.To investigate the interplay between spot and futures markets,we analyze their respective roles in price discovery and find that,unlike in stock and bond markets,the spot market predominantly exhibits price leadership in the U.S.REITs market,despite the growing market size of futures.We find evidence that the limited role of futures in price discovery is associated with an increase in speculative demand,which outweighs hedging pressure.These findings suggest that policymakers should carefully monitor investor trading motives in the U.S.REITs market and consider revising market regulations to enhance liquidity,ensuring that increased liquidity does not primarily result from heightened speculative demand.展开更多
For thermal power enterprises,the traditional business model of scale expansion and a single product line restricts the development of electricity marketing.Therefore,to achieve the transformation and upgrading of the...For thermal power enterprises,the traditional business model of scale expansion and a single product line restricts the development of electricity marketing.Therefore,to achieve the transformation and upgrading of their electricity marketing,this study starts from the current situation of the electricity market and introduces in detail the market-oriented electricity marketing strategies of thermal power enterprises from four aspects:product strategy,price strategy,channel strategy,and promotion strategy.The analysis finds that a market-oriented electricity marketing strategy is not only an inevitable choice for thermal power enterprises to respond to current challenges but also an essential path for them to move toward high-quality development.Through continuous innovation and upgrading,thermal power enterprises will maintain a leading position in fierce market competition,achieve sustainable development,and make greater contributions to the prosperity and development of the energy industry.展开更多
Against the backdrop of deepening globalization and digital integration,emerging international markets,characterized by large populations,rapidly growing educational demands,and progressively upgraded digital infrastr...Against the backdrop of deepening globalization and digital integration,emerging international markets,characterized by large populations,rapidly growing educational demands,and progressively upgraded digital infrastructure,have become pivotal hubs for educational technology(EdTech)enterprises to expand their global presence.However,the unique characteristics of these markets,including cultural diversity,divergent consumer behaviors,and uneven digital maturity,pose challenges to traditional digital marketing strategies.This results in EdTech products facing issues such as inefficient user acquisition,insufficient brand awareness,and suboptimal conversion rates.To address these challenges,this paper focuses on optimizing digital marketing strategies for EdTech product sales in emerging international markets.This paper focuses on the optimization of digital marketing strategies for Ed Tech product sales in emerging international markets.Through analyzing the pain points in the application of current strategies,this paper proposes a systematic optimization path from four dimensions:localized content construction,multi-channel coordination and integration,user life cycle operation,and data-driven decision making.展开更多
Deep learning plays a vital role in real-life applications, for example object identification, human face recognition, speech recognition, biometrics identification, and short and long-term forecasting of data. The ma...Deep learning plays a vital role in real-life applications, for example object identification, human face recognition, speech recognition, biometrics identification, and short and long-term forecasting of data. The main objective of our work is to predict the market performance of the Dhaka Stock Exchange (DSE) on day closing price using different Deep Learning techniques. In this study, we have used the LSTM (Long Short-Term Memory) network to forecast the data of DSE for the convenience of shareholders. We have enforced LSTM networks to train data as well as forecast the future time series that has differentiated with test data. We have computed the Root Mean Square Error (RMSE) value to scrutinize the error between the forecasted value and test data that diminished the error by updating the LSTM networks. As a consequence of the renovation of the network, the LSTM network provides tremendous performance which outperformed the existing works to predict stock market prices.展开更多
The 52nd issue of Financial Innovation(FIN),Volume 11,No.4(2025),features 19 papers that can be classified into two main themes:the Special Issue on Green Digital Finance and Energy Transition,and FinTech and Market A...The 52nd issue of Financial Innovation(FIN),Volume 11,No.4(2025),features 19 papers that can be classified into two main themes:the Special Issue on Green Digital Finance and Energy Transition,and FinTech and Market Analysis.展开更多
This paper examines the technological advancements,policy support,and market trends in the global hydrogen energy market by 2025.As technological innovation and international cooperation advance,hydrogen energy will a...This paper examines the technological advancements,policy support,and market trends in the global hydrogen energy market by 2025.As technological innovation and international cooperation advance,hydrogen energy will achieve commercial applications in transportation,industry,and energy storage,becoming a significant driving force in the global energy transition.展开更多
基金funded by the Science and Technology Project of State Grid Corporation of China(5108-202355437A-3-2-ZN).
文摘The increasing complexity of China’s electricity market creates substantial challenges for settlement automation,data consistency,and operational scalability.Existing provincial settlement systems are fragmented,lack a unified data structure,and depend heavily on manual intervention to process high-frequency and retroactive transactions.To address these limitations,a graph-based unified settlement framework is proposed to enhance automation,flexibility,and adaptability in electricity market settlements.A flexible attribute-graph model is employed to represent heterogeneousmulti-market data,enabling standardized integration,rapid querying,and seamless adaptation to evolving business requirements.An extensible operator library is designed to support configurable settlement rules,and a suite of modular tools—including dataset generation,formula configuration,billing templates,and task scheduling—facilitates end-to-end automated settlement processing.A robust refund-clearing mechanism is further incorporated,utilizing sandbox execution,data-version snapshots,dynamic lineage tracing,and real-time changecapture technologies to enable rapid and accurate recalculations under dynamic policy and data revisions.Case studies based on real-world data from regional Chinese markets validate the effectiveness of the proposed approach,demonstrating marked improvements in computational efficiency,system robustness,and automation.Moreover,enhanced settlement accuracy and high temporal granularity improve price-signal fidelity,promote cost-reflective tariffs,and incentivize energy-efficient and demand-responsive behavior among market participants.The method not only supports equitable and transparent market operations but also provides a generalizable,scalable foundation for modern electricity settlement platforms in increasingly complex and dynamic market environments.
文摘During 13 to 16 January 2026,with 148 participating nations,rising global relevance and a marked increase in visitor quality,Heimtextil 2026 stood for stability and reliability in a volatile market environment.Once again,3,000 exhibitors from across the globe placed their trust in the industry’s central platform in Frankfurt,presenting current collections,materials and textile solutions for holistic interior design to approximately 47,000 buyers.Under the motto“Lead the Change”,Heimtextil brought evolving market dynamics,Artificial Intelligence(AI)and new business opportunities to life.The focus was on progressive design approaches,visionary talents,functional textiles and new hospitality concepts shaping the future of interior design.A tangible sense of confidence and a clear commitment to Heimtextil as a strong industry partner resonated throughout the exhibition halls.
基金supported by the Special Project of the National Natural Science Foundation of China(NSFC)“The Uniqueness of China’s Demographic Transition,Its Economic Impact,and Policy Implications”(Grant No.72141310)the Major Economic and Social Survey Project of the Chinese Academy of Social Sciences(CASS)“China Urban Labor Survey”(Grant No.GQDC2023022)the Comprehensive Grant of CASS Affiliated Institute Laboratories“Population Simulation and Employment Monitoring Laboratory”(Grant No.2024SYZH008).
文摘To gain an in-depth understanding of China’s urban labor market,the Institute of Population and Labor Economics at the Chinese Academy of Social Sciences(IPLE-CASS)conducted the fifth wave of the China Urban Labor Survey in 2023,which covers eight major representative cities.The survey collected 9,122 household questionnaires and 26,145 individual questionnaires from 381 neighborhood committees.Based on this data,the report systematically analyzes employment,wages,educational attainment,and social security among China’s urban workforce.Key findings include an inverted U-shaped age pattern of labor force participation,with a widening gender gap after childbearing age.Additionally,job search methods combine market-based channels with traditional social networks.Notably,the gender wage gap persists and widens over the life cycle,while employed women now have higher average years of schooling than men.Rural-to-urban migrants show higher labor force participation rates but remain disadvantaged in wages,education,and social security coverage.Thus,this survey provides a comprehensive picture of the structural characteristics and challenges of China’s urban labor market,providing a solid data foundation for academic research and public policy design.
基金Chengdu City Philosophy and Social Sciences Research Center“artificial intelligence+urban communication”theory and Application Research Center Project“Chengdu real estate vertical market public opinion data visualization research”(Project No.RZCC2025017).
文摘This study integrates multiple sources of data(transaction data,policy text,public opinion data)with visualization techniques(such as heat maps,time-series trend charts,3D building brochures)to construct an analysis framework for the Chengdu real estate market.By using the Adaptive Neuro-Fuzzy Inference System(ANFIS)prediction model,spatial GIS(Geographic Information System analysis)analysis,and interactive dashboards,this study reveals market differentiation,policy impacts,and changes in demand structure,thereby providing decision support for the government,enterprises,and homebuyers.
文摘After securing a market for their dried red chilli peppers in China,elated farmers in Uganda are expanding the spicy crop cultivation to thousands of acres.China’s increasing appetite for international cuisine and spices has created a most welcome demand for high-quality chillies.And given Uganda’s unique climate and soil conditions that allow for diverse chilli varieties,the East African country has a competitive edge.This has led to Uganda and China now having trade agreements in place,facilitating exports.
文摘Archroma,a global leader in specialty chemicals focused on sustainable solutions,is excited to announce its debut participation in Denimsandjeans Egypt,taking place on January 19–20,2026 at the InterContinental Citystars Cairo.In its first year at the show,Archroma will showcase its low-impact denim solutions,designed to help brands and mills advance sustainability without compromising aesthetics,quality or performance.“With Egypt emerging as a strategic denim sourcing market,there is a clear opportunity to accelerate more sustainable production.Archroma’s innovations are designed to support this growth with scalable,low impact solutions,”commented Dhirendra Gautam,Vice President,Commercial,Archroma.
基金support by the Science and Technology Project of Guangdong Power Exchange Center Co.,Ltd.(No.GDKJXM20222599)National Natural Science Foundation of China(No.52207104)Natural Science Foundation of Guangdong Province(No.2024A1515010426).
文摘The rapid development of electricity retail market has prompted an increasing number of electricity consumers to sign green electricity contracts with retail electricity companies,which poses greater challenges for the market service for green energy consumers.This study proposed a two-stage feature extraction approach for green energy consumers leveraging clustering and termfrequency-inverse document frequency(TF-IDF)algorithms within a knowledge graph framework to provide an information basis that supports the green development of the retail electricity market.First,the multi-source heterogeneous data of green energy consumers under an actual market environment is systematically introduced and the information is categorized into discrete,interval,and relational features.A clustering algorithm was employed to extract features of the trading behavior of green energy consumers in the first stage using the parameter data of green retail electricity contracts.Then,TF-IDF algorithm was applied in the second stage to extract features for green energy consumers in different clusters.Finally,the effectiveness of the proposed approach was validated based on the actual operational data in a southern province of China.It is shown that the most significant discrepancy between the retail trading behaviors of green energy consumers is the power share of green retail packages,whose averaged values are 25.64%,50%,39.66%,and 24.89%in four different clusters,respectively.Additionally,power supply bureaus and electricity retail companies affects the behavior of the green energy consumers most significantly.
基金funded by the National Key R&D Program of China,grant number 2019YFB1505400.
文摘As the power system transitions to a new green and low-carbon paradigm,the penetration of renewable energy in China’s power system is gradually increasing.However,the variability and uncertainty of renewable energy output limit its profitability in the electricity market and hinder its market-based integration.This paper first constructs a wind-solar-thermalmulti-energy complementary system,analyzes its external game relationships,and develops a bi-level market optimization model.Then,it considers the contribution levels of internal participants to establish a comprehensive internal distribution evaluation index system.Finally,simulation studies using the IEEE 30-bus system demonstrate that the multi-energy complementary system stabilizes nodal outputs,enhances the profitability of market participants,and promotes the market-based integration of renewable energy.
文摘The emergence of smart grids in India is propelled by an intricate interaction of market dynamics,regulatory structures,and stakeholder obligations.This study analyzes the primary factors that are driving the widespread use of smart grid technologies and outlines the specific roles and obligations of different stakeholders,such as government entities,utility companies,technology suppliers,and consumers.Government activities and regulations are crucial in facilitating the implementation of smart grid technology by offering financial incentives,regulatory assistance,and strategic guidance.Utility firms have the responsibility of implementing and integrating smart grid infrastructure,with an emphasis on improving the dependability of the grid,minimizing losses in transmission and distribution,and integrating renewable energy sources.Technology companies offer the essential hardware and software solutions,which stimulate creativity and enhance efficiency.Consumers actively engage in the energy ecosystem by participating in demand response,implementing energy saving measures,and adopting distributed energy resources like solar panels and electric vehicles.This study examines the difficulties and possibilities in India’s smart grid industry,highlighting the importance of cooperation among stakeholders to build a strong,effective,and environmentally friendly energy future.
文摘With climate change becoming direr and the WTO losing its teeth at 30,experts renew call for green collaboration among the world’s three largest economies.AS competition intensifies in the global dairy product market,many foreign dairy companies are focusing on China."China is the best market to debut breakthrough products,"said Bruno Chevot,food and beverage multinational Danone China’s president for North Asia and Oceania.
文摘This study was designed to determine factors that influence market performance of avocado fruits among smallholder farmers in Mbeya and Songwe regions. A cross section research design entailing 209 farmers from five (5) districts of two (2) regions and 15 key informants;5 local service providers (LSP), 5 traders/brokers and 5 district extension officers (DEO) were involved in the study. Random selection procedures were used to select avocado producers and purposive selection procedures were used to select key informants. The study employed survey questionnaires to collect data from avocado farmers and structured interview to collect data from key informants. Collected data were analyzed with an aid of descriptive statistics and linear regression model was used to determine significant factors that determine market prices of avocado fruits among smallholder farmers. The demographic characteristics of avocado farmers showed that;61.2% of farmers had age between 36 to 59 years old, 84.7% were married, 74.6% had primary education level, average number of 5 members of the family, average 4.3 acres of owned land and 1.8 acres planted with avocado. Moreover, findings showed that 90.9% grew improved avocado varieties. Farm gate (88.5%) was the major market outlet chosen by avocado farmers. Local merchants and processors were the major buyers of the produced avocado. Results from linear regression analysis showed that variety grown (P P P P < 0.05) were factors that statistically influenced market prices for avocado fruits. The study concluded that despite the remarkable contributions to livelihood of the farmers yet, it is highly fragile on market prices. Therefore, the study recommends the need to establish market systems that will govern avocado fruits marketing for sustainability of the sub-sector.
文摘Inmyshow Digital Technology(Group)Company(IMS),a leading enterprise in the digital economy,debuted at the 22nd China-ASEAN Expo(CAEXPO)by presenting its innovative achievements such as the AIGC marketing platform“Inspiration Island”and the“TopKlout Summit,”which showcased its technological breakthroughs and practical experience in the fields of intelligent content generation,cyber celebrity marketing,and cross-border digital marketing.
基金financial support from the Czech Science Foundation under the project`Deep dive into decentralized finance:Market microstructure,and behavioral and psychological patterns’[Grant No.23-06606S]supported by Charles University Research Centre program No.24/SSH/020+1 种基金the Cooperatio Program at Charles University,research area Economicsfinancial support from the Charles University Specific University Research scheme[Grant No.SVV 260843].
文摘This article analyzes the predictability of market betas concerning cryptocurrency assets and evaluates the efficiency of beta-hedged,market-neutral portfolios.We forecast 1-year-ahead market betas using various estimating methods,including ordinary least squares(OLS)and Vasicek’s Bayesian shrinkage estimator,and assess their impact on portfolio variance reduction across cryptomarket indices.Our findings indicate that while standard OLS betas explain significantly less of the variation in future betas for cryptoassets compared to US stocks,slope winsorization and Bayesian shrinkage improve prediction accuracy.The results suggest that beta-hedged portfolios reduce variance for approximately 17%of the universe,with the Broad Digital Market Index demonstrating the best hedging efficiency.These findings underscore the significant challenges of developing effective hedging strategies in the cryptocurrency market,emphasizing the importance of idiosyncratic risk in crypto returns and the need for appropriate market index representation.
文摘With the in-depth advancement of China’s dual carbon goals,the national carbon emissions trading market has become a core policy tool for achieving emission reduction targets.However,the current carbon market remains predominantly spot-based,facing challenges such as limited financial products,restricted market participants,immature carbon pricing mechanisms,and insufficient liquidity,which constrain its resource allocation and risk management functions.Based on the spirit of the“Opinions on Promoting Green Low-Carbon Transformation and Strengthening National Carbon Market Construction”issued by the General Office of the CPC Central Committee and the General Office of the State Council,this paper focuses on the challenges faced during the implementation of the dual control system for carbon emissions in the“Fifteenth Five-Year Plan”period,with emphasis on analyzing the development bottlenecks of the carbon market.It proposes accelerating the launch of carbon futures,carbon options and other derivatives,expanding the scope of financial institution participation,improving carbon market infrastructure,and establishing a cross-departmental coordinated policy framework.By drawing on international experience and combining domestic pilot practices,this aims to provide an operational and implementable pathway for the development of China’s carbon market,further enhancing the supporting role of the carbon market in green low-carbon transformation.
基金supported by the National Research Foundation of Korea funded by the Ministry of Science and ICT(2022R1A2C1004258:Kwangwon Ahn)the Sogang University Research Grant of 2023(No.202310016.01:Sungbin Sohn).
文摘This study examines the impact of futures trading on market efficiency and price discovery in the U.S.real estate investment trusts(REITs)market.First,we present inconclusive evidence regarding efficiency improvement in the U.S.REIT spot market following the introduction of futures trading.To investigate the interplay between spot and futures markets,we analyze their respective roles in price discovery and find that,unlike in stock and bond markets,the spot market predominantly exhibits price leadership in the U.S.REITs market,despite the growing market size of futures.We find evidence that the limited role of futures in price discovery is associated with an increase in speculative demand,which outweighs hedging pressure.These findings suggest that policymakers should carefully monitor investor trading motives in the U.S.REITs market and consider revising market regulations to enhance liquidity,ensuring that increased liquidity does not primarily result from heightened speculative demand.
文摘For thermal power enterprises,the traditional business model of scale expansion and a single product line restricts the development of electricity marketing.Therefore,to achieve the transformation and upgrading of their electricity marketing,this study starts from the current situation of the electricity market and introduces in detail the market-oriented electricity marketing strategies of thermal power enterprises from four aspects:product strategy,price strategy,channel strategy,and promotion strategy.The analysis finds that a market-oriented electricity marketing strategy is not only an inevitable choice for thermal power enterprises to respond to current challenges but also an essential path for them to move toward high-quality development.Through continuous innovation and upgrading,thermal power enterprises will maintain a leading position in fierce market competition,achieve sustainable development,and make greater contributions to the prosperity and development of the energy industry.
文摘Against the backdrop of deepening globalization and digital integration,emerging international markets,characterized by large populations,rapidly growing educational demands,and progressively upgraded digital infrastructure,have become pivotal hubs for educational technology(EdTech)enterprises to expand their global presence.However,the unique characteristics of these markets,including cultural diversity,divergent consumer behaviors,and uneven digital maturity,pose challenges to traditional digital marketing strategies.This results in EdTech products facing issues such as inefficient user acquisition,insufficient brand awareness,and suboptimal conversion rates.To address these challenges,this paper focuses on optimizing digital marketing strategies for EdTech product sales in emerging international markets.This paper focuses on the optimization of digital marketing strategies for Ed Tech product sales in emerging international markets.Through analyzing the pain points in the application of current strategies,this paper proposes a systematic optimization path from four dimensions:localized content construction,multi-channel coordination and integration,user life cycle operation,and data-driven decision making.
文摘Deep learning plays a vital role in real-life applications, for example object identification, human face recognition, speech recognition, biometrics identification, and short and long-term forecasting of data. The main objective of our work is to predict the market performance of the Dhaka Stock Exchange (DSE) on day closing price using different Deep Learning techniques. In this study, we have used the LSTM (Long Short-Term Memory) network to forecast the data of DSE for the convenience of shareholders. We have enforced LSTM networks to train data as well as forecast the future time series that has differentiated with test data. We have computed the Root Mean Square Error (RMSE) value to scrutinize the error between the forecasted value and test data that diminished the error by updating the LSTM networks. As a consequence of the renovation of the network, the LSTM network provides tremendous performance which outperformed the existing works to predict stock market prices.
文摘The 52nd issue of Financial Innovation(FIN),Volume 11,No.4(2025),features 19 papers that can be classified into two main themes:the Special Issue on Green Digital Finance and Energy Transition,and FinTech and Market Analysis.
文摘This paper examines the technological advancements,policy support,and market trends in the global hydrogen energy market by 2025.As technological innovation and international cooperation advance,hydrogen energy will achieve commercial applications in transportation,industry,and energy storage,becoming a significant driving force in the global energy transition.
