We examine possible funding sources for constructing Climate Change Haven Communities on a global basis. Areas of the planet that have the potential to house persons migrating to “safe havens” in their own or other ...We examine possible funding sources for constructing Climate Change Haven Communities on a global basis. Areas of the planet that have the potential to house persons migrating to “safe havens” in their own or other countries will require the rapid construction of communities capable of supporting them, their families, businesses and farms. However, different political-economic conditions are found across the areas which can serve as locations for these Climate Change Haven Communities. We develop funding and construction strategies for the United States (free-market capitalism), France and Spain (European Union supported economies), and Taiwan region (state-directed economy). The proposals for the Taiwan region should also be applicable to the rest of China.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
The aim of this study was to describe waste management practices at Kisangani’s central market and the associated factors. A cross-sectional analytical study was carried out among 403 users of the Kisangani central m...The aim of this study was to describe waste management practices at Kisangani’s central market and the associated factors. A cross-sectional analytical study was carried out among 403 users of the Kisangani central market during the period from 01 July 2023 to 02 September 2023. It was found that 80.40% of respondents had poor waste management practices. There was an association between waste management practices and marital status, the category of respondent, the category of goods sold, knowledge of the definition of waste, the management mechanism in place and the availability of management materials and equipment. In conclusion, the proper management of waste from Kisangani’s central market by its users is proving to be a serious public health problem, and several factors are involved. Insufficient financial resources to make waste bins available at all vendors’ stalls, combined with the ineffectiveness of the hygiene committee, are undermining waste management at Kisangani’s central market, which calls for an effective management policy from the market’s managers and sufficient financial resources to alleviate the problem.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
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
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
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
In 2024,the global LNG market exhibits an uncertain development trajectory amidst complex challenges,including weak global economic growth,heightened geopolitical risks in the oil and gas sector,and increasingly strin...In 2024,the global LNG market exhibits an uncertain development trajectory amidst complex challenges,including weak global economic growth,heightened geopolitical risks in the oil and gas sector,and increasingly stringent global climate and environmental governance measures.展开更多
The original intention of the algorithmic recommender system is to grapple with the negative impacts caused by information overload,but the system also can be used as"hypernudge",a new form of online manipul...The original intention of the algorithmic recommender system is to grapple with the negative impacts caused by information overload,but the system also can be used as"hypernudge",a new form of online manipulation,to inten⁃tionally exploit people's cognitive and decision-making gaps to influence their decisions in practice,which is particu⁃larly detrimental to the sustainable development of the digital market.Limiting harmful algorithmic online manipula⁃tion in digital markets has become a challenging task.Globally,both the EU and China have responded to this issue,and the differences between them are so evident that their governance measures can serve as the typical case.The EU focuses on improving citizens'digital literacy and their ability to integrate into digital social life to independently ad⁃dress this issue,and expects to address harmful manipulation behavior through binding and applicable hard law,which is part of the digital strategy.By comparison,although there exist certain legal norms that have made relevant stipula⁃tions on manipulation issues,China continues to issue specific departmental regulations to regulate algorithmic recom⁃mender services,and pays more attention to addressing collective harm caused by algorithmic online manipulation through a multiple co-governance approach led by the government or industry associations to implement supervision.展开更多
This paper examines the impact of algorithmic recommendations and data-driven marketing on consumer engagement and business performance.By leveraging large volumes of user data,businesses can deliver personalized cont...This paper examines the impact of algorithmic recommendations and data-driven marketing on consumer engagement and business performance.By leveraging large volumes of user data,businesses can deliver personalized content that enhances user experiences and increases conversion rates.However,the growing reliance on these technologies introduces significant risks,including privacy violations,algorithmic bias,and ethical concerns.This paper explores these challenges and provides recommendations for businesses to mitigate associated risks while optimizing marketing strategies.It highlights the importance of transparency,fairness,and user control in ensuring responsible and effective data-driven marketing.展开更多
As a vital component of the national economic system,the forestry economy plays a significant role in promoting economic and social development.With the increasing emphasis on green and sustainable development,the car...As a vital component of the national economic system,the forestry economy plays a significant role in promoting economic and social development.With the increasing emphasis on green and sustainable development,the carbon sink market has gained widespread attention and experienced rapid expansion,exerting a profound impact on the sustainable development of the forestry economy.In this new stage,deepening the relationship between the carbon sink market and the forestry economy is of great practical significance for enhancing forest coverage,advancing forestry economic growth,and fostering green ecological development.This paper analyzes the impact of the carbon sink market on the sustainable development of the forestry economy and explores specific strategies for its advancement.展开更多
In the contemporary digital landscape,the proliferation of information has led to an increasing diversity of channels through which consumers obtain information,resulting in a gradual transformation of shopping habits...In the contemporary digital landscape,the proliferation of information has led to an increasing diversity of channels through which consumers obtain information,resulting in a gradual transformation of shopping habits.Consumers now frequently rely on external sources to make well-informed purchasing decisions,leading to the emergence of live shopping as a prominent avenue for gathering product information and completing transactions.E-commerce live streaming has experienced rapid growth,leveraging its ability to generate traffic and capture consumer attention.The integration of content and live streaming not only meets users’psychological needs but also facilitates seamless communication between buyers and sellers.From the perspective of content marketing typologies,this paper examines content marketing across three key dimensions:informational content,entertainment content,and emotional content.It further explores the impact of content marketing on consumers’purchase intentions within the context of e-commerce live streaming.展开更多
Cropland abandonment has been a widespread phenomenon in mountainous areas due to the increasing number of natural disasters and the massive migration of rural labor in the process of rapid urbanization.Land transfer ...Cropland abandonment has been a widespread phenomenon in mountainous areas due to the increasing number of natural disasters and the massive migration of rural labor in the process of rapid urbanization.Land transfer is a crucial prerequisite for ensuring food security and fostering rural revitalization.How to promote land transfer in mountainous areas remains a challenging but important task.Nevertheless,there is a dearth of research examining land transfers among farm households that specifically address mountainous regions,and the influence of grassroots governance and geographic location has not been thoroughly elucidated within this particular context.Based on 895household samples collected in Dabie Mountainous Area in China,this study employs binary and ordinal logistic regression models to provide a more comprehensive analysis on land transfers among rural households and the determinants,including the decision to transfer land,the existence of land transfer rents,the channel of land transfer,the duration of the transfer,the pre-transfer cultivation situation,and the level of satisfaction with the land transfer rent.The findings reveal that grassroots governance,geographic location,livelihood capital,and demographic factors significantly influence land transfers among rural households.Specifically,villagers'public participation positively affects land transfer participation(β=0.235,p<0.05),while the operation of village rules and regulations negatively impacts it(β=-0.296,p<0.05).Village cadre satisfaction positively influences both land transfer rent(β=0.274,p<0.05)and rent satisfaction(β=0.303,p<0.05).Improved civil relations in the village correlate with lower land transfer rent(β=-0.511,p<0.05),while a better social atmosphere is associated with higher satisfaction with transfer rent(β=0.575,p<0.01).Households at higher elevations tend to prefer government-mediated land transfers with longer durations.The distances to the township and county centers have contrasting effects on land transfer rent,but their impacts on participation in land transfer,choice of transfer channel,and duration are consistent.The study also found that different types of livelihood capital,as well as the demographic characteristics of households,significantly affect various aspects of land transfer.These empirical findings can inform policymaking to promote more efficient land transfers in mountainous region.展开更多
The emergence of multi-access edge computing(MEC)aims at extending cloud computing capabilities to the edge of the radio access network.As the large-scale internet of things(IoT)services are rapidly growing,a single e...The emergence of multi-access edge computing(MEC)aims at extending cloud computing capabilities to the edge of the radio access network.As the large-scale internet of things(IoT)services are rapidly growing,a single edge infrastructure provider(EIP)may not be sufficient to handle the data traffic generated by these services.Most of the existing work addressed the computing resource shortage problem by optimizing tasks schedule,whereas others overcome such issue by placing computing resources on demand.However,when considering a multiple EIPs scenario,an urgent challenge is how to generate a coalition structure to maximize each EIP’s gain with a suitable price for computing resource block corresponding to a container.To this end,we design a scheme of EIPs collaboration with a market price for containers under a scenario that considers a collection of service providers(SPs)with different budgets and several EIPs distributed in geographical locations.First,we bring in the net profit market price model to generate a more reasonable equilibrium price and select the optimal EIPs for each SP by a convex program.Then we use a mathematical model to maximize EIP’s profits and form stable coalitions between EIPs by a distributed coalition formation algorithm.Numerical results demonstrate that our proposed collaborative scheme among EIPs enhances EIPs’gain and increases users’surplus.展开更多
This study examines the current state of merchants’participation in e-commerce marketing within the context of the digital economy,focusing on merchants in Lagos,Nigeria.It explores the impact of behavioral attitudes...This study examines the current state of merchants’participation in e-commerce marketing within the context of the digital economy,focusing on merchants in Lagos,Nigeria.It explores the impact of behavioral attitudes,subjective norms,perceived behavioral control,and traditional transaction costs on their willingness to engage in e-commerce marketing.Grounded in the Theory of Planned Behavior(TPB)and employing a questionnaire survey,the study utilizes SPSS 23.0 and AMOS 22.0 for data analysis.The findings confirm the significant positive effects of behavioral attitudes,subjective norms,and perceived behavioral control on merchants’willingness,as well as the significant negative effect of traditional transaction costs.The results indicate that the advancement of digital economy policies has lowered participation barriers for merchants,with factors such as behavioral attitudes,social support,and digital skills playing crucial roles in decision-making.This paper recommends enhancing the usability of e-commerce platforms,improving infrastructure,and optimizing policy support.These suggestions provide theoretical insights and practical guidance for promoting Nigeria’s digital economy and advancing research on merchants’e-commerce behavior.展开更多
Capital structure decision is an important issue of corporate finance.Theories show that,the corporate debt ratio is determined by many factors.This study conducts empirical work on capital structure theories,focusing...Capital structure decision is an important issue of corporate finance.Theories show that,the corporate debt ratio is determined by many factors.This study conducts empirical work on capital structure theories,focusing on the corporate data of Chinese listed companies,by considering the intrinsic characteristics,utilizing the principal factor analysis and the ridge regression method.Our results suggest that a firms debt ratio has a positive relationship with its size,profitability and operating risk and has a negative relationship with its growth and non debt tax shield,while the long term leverage has a positive relationship with its collateral value of assets.展开更多
Background:Research in various academic disciplines has undergone tremendous changes in the era of big data.Everyone is talking about big data nowadays,but how exactly is it being applied in research on financial stud...Background:Research in various academic disciplines has undergone tremendous changes in the era of big data.Everyone is talking about big data nowadays,but how exactly is it being applied in research on financial studies?Results:This study summarizes the sources of Internet big data for research related to capital markets and the analytical methods that have been used in the literature.In addition,it presents a review of the research findings based on Internet big data in the field of capital markets and proposes suggestions for future studies in which big data can be applied to examine issues related to capital markets.Conclusion:(1)Internet big data sources related to present capital market research can be categorized into forum-type data,microblog-type data and search class data.(2)As for research about investors’sentiments on the basis of Internet big data,the main methods of sentiment analysis include building an inventory of lexical categories,using dictionaries for analysis of lexical categories,and machine learning.(3)Many studies address whether Internet big data can predict capital markets.However,they reach no consistent conclusions,which could be due to limitations of sample and analysis method used.(4)Data collection technique and analysis methods require further improvements.展开更多
This paper investigates the market timing hypothesis of capital structure using a sample of 1,077 Chinese firms for the period 1992 to 2007. We find that market timing plays a significant role in capital structure dec...This paper investigates the market timing hypothesis of capital structure using a sample of 1,077 Chinese firms for the period 1992 to 2007. We find that market timing plays a significant role in capital structure decisions. However, market timing effects are not persistent and disappear within three years. The results suggest the prominent role played by the government in timing of security issues.展开更多
文摘We examine possible funding sources for constructing Climate Change Haven Communities on a global basis. Areas of the planet that have the potential to house persons migrating to “safe havens” in their own or other countries will require the rapid construction of communities capable of supporting them, their families, businesses and farms. However, different political-economic conditions are found across the areas which can serve as locations for these Climate Change Haven Communities. We develop funding and construction strategies for the United States (free-market capitalism), France and Spain (European Union supported economies), and Taiwan region (state-directed economy). The proposals for the Taiwan region should also be applicable to the rest of China.
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The aim of this study was to describe waste management practices at Kisangani’s central market and the associated factors. A cross-sectional analytical study was carried out among 403 users of the Kisangani central market during the period from 01 July 2023 to 02 September 2023. It was found that 80.40% of respondents had poor waste management practices. There was an association between waste management practices and marital status, the category of respondent, the category of goods sold, knowledge of the definition of waste, the management mechanism in place and the availability of management materials and equipment. In conclusion, the proper management of waste from Kisangani’s central market by its users is proving to be a serious public health problem, and several factors are involved. Insufficient financial resources to make waste bins available at all vendors’ stalls, combined with the ineffectiveness of the hygiene committee, are undermining waste management at Kisangani’s central market, which calls for an effective management policy from the market’s managers and sufficient financial resources to alleviate the problem.
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.
文摘In 2024,the global LNG market exhibits an uncertain development trajectory amidst complex challenges,including weak global economic growth,heightened geopolitical risks in the oil and gas sector,and increasingly stringent global climate and environmental governance measures.
文摘The original intention of the algorithmic recommender system is to grapple with the negative impacts caused by information overload,but the system also can be used as"hypernudge",a new form of online manipulation,to inten⁃tionally exploit people's cognitive and decision-making gaps to influence their decisions in practice,which is particu⁃larly detrimental to the sustainable development of the digital market.Limiting harmful algorithmic online manipula⁃tion in digital markets has become a challenging task.Globally,both the EU and China have responded to this issue,and the differences between them are so evident that their governance measures can serve as the typical case.The EU focuses on improving citizens'digital literacy and their ability to integrate into digital social life to independently ad⁃dress this issue,and expects to address harmful manipulation behavior through binding and applicable hard law,which is part of the digital strategy.By comparison,although there exist certain legal norms that have made relevant stipula⁃tions on manipulation issues,China continues to issue specific departmental regulations to regulate algorithmic recom⁃mender services,and pays more attention to addressing collective harm caused by algorithmic online manipulation through a multiple co-governance approach led by the government or industry associations to implement supervision.
文摘This paper examines the impact of algorithmic recommendations and data-driven marketing on consumer engagement and business performance.By leveraging large volumes of user data,businesses can deliver personalized content that enhances user experiences and increases conversion rates.However,the growing reliance on these technologies introduces significant risks,including privacy violations,algorithmic bias,and ethical concerns.This paper explores these challenges and provides recommendations for businesses to mitigate associated risks while optimizing marketing strategies.It highlights the importance of transparency,fairness,and user control in ensuring responsible and effective data-driven marketing.
文摘As a vital component of the national economic system,the forestry economy plays a significant role in promoting economic and social development.With the increasing emphasis on green and sustainable development,the carbon sink market has gained widespread attention and experienced rapid expansion,exerting a profound impact on the sustainable development of the forestry economy.In this new stage,deepening the relationship between the carbon sink market and the forestry economy is of great practical significance for enhancing forest coverage,advancing forestry economic growth,and fostering green ecological development.This paper analyzes the impact of the carbon sink market on the sustainable development of the forestry economy and explores specific strategies for its advancement.
文摘In the contemporary digital landscape,the proliferation of information has led to an increasing diversity of channels through which consumers obtain information,resulting in a gradual transformation of shopping habits.Consumers now frequently rely on external sources to make well-informed purchasing decisions,leading to the emergence of live shopping as a prominent avenue for gathering product information and completing transactions.E-commerce live streaming has experienced rapid growth,leveraging its ability to generate traffic and capture consumer attention.The integration of content and live streaming not only meets users’psychological needs but also facilitates seamless communication between buyers and sellers.From the perspective of content marketing typologies,this paper examines content marketing across three key dimensions:informational content,entertainment content,and emotional content.It further explores the impact of content marketing on consumers’purchase intentions within the context of e-commerce live streaming.
基金supported by the National Natural Science Foundation of China(Grant Nos.42371315,41901213)the Humanities and Social Sciences General Research Program of the Ministry of Education(Grant No.23YJC790141)。
文摘Cropland abandonment has been a widespread phenomenon in mountainous areas due to the increasing number of natural disasters and the massive migration of rural labor in the process of rapid urbanization.Land transfer is a crucial prerequisite for ensuring food security and fostering rural revitalization.How to promote land transfer in mountainous areas remains a challenging but important task.Nevertheless,there is a dearth of research examining land transfers among farm households that specifically address mountainous regions,and the influence of grassroots governance and geographic location has not been thoroughly elucidated within this particular context.Based on 895household samples collected in Dabie Mountainous Area in China,this study employs binary and ordinal logistic regression models to provide a more comprehensive analysis on land transfers among rural households and the determinants,including the decision to transfer land,the existence of land transfer rents,the channel of land transfer,the duration of the transfer,the pre-transfer cultivation situation,and the level of satisfaction with the land transfer rent.The findings reveal that grassroots governance,geographic location,livelihood capital,and demographic factors significantly influence land transfers among rural households.Specifically,villagers'public participation positively affects land transfer participation(β=0.235,p<0.05),while the operation of village rules and regulations negatively impacts it(β=-0.296,p<0.05).Village cadre satisfaction positively influences both land transfer rent(β=0.274,p<0.05)and rent satisfaction(β=0.303,p<0.05).Improved civil relations in the village correlate with lower land transfer rent(β=-0.511,p<0.05),while a better social atmosphere is associated with higher satisfaction with transfer rent(β=0.575,p<0.01).Households at higher elevations tend to prefer government-mediated land transfers with longer durations.The distances to the township and county centers have contrasting effects on land transfer rent,but their impacts on participation in land transfer,choice of transfer channel,and duration are consistent.The study also found that different types of livelihood capital,as well as the demographic characteristics of households,significantly affect various aspects of land transfer.These empirical findings can inform policymaking to promote more efficient land transfers in mountainous region.
基金supported by National Natural Science Foundation of China(No.6206020135)Key Research and Development Program of Gansu Province(No.20YF8GA123)+1 种基金Gansu Provincial Department of Education University Faculty Innovation Fund Project(No.2024B-059)Youth Science Fund Project of Lanzhou Jiaotong University(No.1200061307).
文摘The emergence of multi-access edge computing(MEC)aims at extending cloud computing capabilities to the edge of the radio access network.As the large-scale internet of things(IoT)services are rapidly growing,a single edge infrastructure provider(EIP)may not be sufficient to handle the data traffic generated by these services.Most of the existing work addressed the computing resource shortage problem by optimizing tasks schedule,whereas others overcome such issue by placing computing resources on demand.However,when considering a multiple EIPs scenario,an urgent challenge is how to generate a coalition structure to maximize each EIP’s gain with a suitable price for computing resource block corresponding to a container.To this end,we design a scheme of EIPs collaboration with a market price for containers under a scenario that considers a collection of service providers(SPs)with different budgets and several EIPs distributed in geographical locations.First,we bring in the net profit market price model to generate a more reasonable equilibrium price and select the optimal EIPs for each SP by a convex program.Then we use a mathematical model to maximize EIP’s profits and form stable coalitions between EIPs by a distributed coalition formation algorithm.Numerical results demonstrate that our proposed collaborative scheme among EIPs enhances EIPs’gain and increases users’surplus.
文摘This study examines the current state of merchants’participation in e-commerce marketing within the context of the digital economy,focusing on merchants in Lagos,Nigeria.It explores the impact of behavioral attitudes,subjective norms,perceived behavioral control,and traditional transaction costs on their willingness to engage in e-commerce marketing.Grounded in the Theory of Planned Behavior(TPB)and employing a questionnaire survey,the study utilizes SPSS 23.0 and AMOS 22.0 for data analysis.The findings confirm the significant positive effects of behavioral attitudes,subjective norms,and perceived behavioral control on merchants’willingness,as well as the significant negative effect of traditional transaction costs.The results indicate that the advancement of digital economy policies has lowered participation barriers for merchants,with factors such as behavioral attitudes,social support,and digital skills playing crucial roles in decision-making.This paper recommends enhancing the usability of e-commerce platforms,improving infrastructure,and optimizing policy support.These suggestions provide theoretical insights and practical guidance for promoting Nigeria’s digital economy and advancing research on merchants’e-commerce behavior.
文摘Capital structure decision is an important issue of corporate finance.Theories show that,the corporate debt ratio is determined by many factors.This study conducts empirical work on capital structure theories,focusing on the corporate data of Chinese listed companies,by considering the intrinsic characteristics,utilizing the principal factor analysis and the ridge regression method.Our results suggest that a firms debt ratio has a positive relationship with its size,profitability and operating risk and has a negative relationship with its growth and non debt tax shield,while the long term leverage has a positive relationship with its collateral value of assets.
基金National Nature Sciences Foundation of China(No.71372148).
文摘Background:Research in various academic disciplines has undergone tremendous changes in the era of big data.Everyone is talking about big data nowadays,but how exactly is it being applied in research on financial studies?Results:This study summarizes the sources of Internet big data for research related to capital markets and the analytical methods that have been used in the literature.In addition,it presents a review of the research findings based on Internet big data in the field of capital markets and proposes suggestions for future studies in which big data can be applied to examine issues related to capital markets.Conclusion:(1)Internet big data sources related to present capital market research can be categorized into forum-type data,microblog-type data and search class data.(2)As for research about investors’sentiments on the basis of Internet big data,the main methods of sentiment analysis include building an inventory of lexical categories,using dictionaries for analysis of lexical categories,and machine learning.(3)Many studies address whether Internet big data can predict capital markets.However,they reach no consistent conclusions,which could be due to limitations of sample and analysis method used.(4)Data collection technique and analysis methods require further improvements.
文摘This paper investigates the market timing hypothesis of capital structure using a sample of 1,077 Chinese firms for the period 1992 to 2007. We find that market timing plays a significant role in capital structure decisions. However, market timing effects are not persistent and disappear within three years. The results suggest the prominent role played by the government in timing of security issues.
