Market Development Research Articles

The application of industrial robots and changes in capital-labour income disparity in China

The technological revolution, particularly the rise of industrial robots and artificial intelligence, has significantly impacted global economic growth and income disparity. This study examines the impact of industrial robot applications on the capital-labour income disparity in China, a country with the highest number of industrial robot applications and a commitment to reducing income inequality. The findings indicate that industrial robots intensify the income disparity between capital and labour, particularly in economically underdeveloped regions characterized by less sophisticated industrial structures, low levels of human capital, underdeveloped physical capital, and inadequate market economies. The promotion of industrial structure sophistication, enhancement of human capital levels, deepening of physical capital, and advancement of market development can mitigate the adverse impact of industrial robot applications on the income disparity between capital and labour. The study underscores the necessity of institutional reforms and targeted policies across these dimensions to address the negative impacts of new technologies.

Integrated energy cluster hierarchical regulation technology considering demand response

Integrated Energy Cluster (IEC), the regional aggregation of integrated energy systems (IES), has accumulated plenty of dispatchable resources with the development of energy market. This, while significantly providing system Demand Response (DR) potential, also complicates the interaction of the IEC with the main grid and increases the difficulty of system scheduling. To address this issue, this paper proposes a Reinforcement Learning-driven multi-agent hierarchical regulation framework that makes full use of DR to maximize the benefits of both IEC and main grid. Firstly, in the context of the DR market, a mechanism for IECs to bid in the real-time DR market is proposed. Furthermore, an "IEC-main network" hierarchical regulation model taking account of DR is established to minimize the IEC operation cost and maximize the societal benefit. Moreover, an optimization algorithm utilizing Deep Deterministic Policy Gradient (DDPG) with Multi-process (MP) and Priority Experience Replay (PER) mechanism is proposed to allow adaptability to high-latitude and large-scale applications. In case study, the proposed model and algorithm is tested on an 8-node system and a 24-node system. The result indicates that the hierarchical regulation model considering DR can improve the system economy by 2.59 % than that without DR and the improved DDPG algorithm can enhance training effectiveness in comparison with DDPG and PER-DDPG.

Influence of tree age on the wood color and compounds involved in the “golden-thread” wood color formation in Phoebe zhennan

Wood color plays a key role in the quality and commercial value of wood products. However, the mechanism underlying wood color formation has yet to be fully elucidated. The principal objective of this study was to determine the effects of tree age on the wood color and identify the key metabolites correlated with the golden-thread wood color formation in Phoebe zhennan. The results indicated that the golden-thread wood color of P. zhennan was significantly affected by tree age. Four polar organic solvents and water were tested for the extraction of the metabolites, and ethyl acetate was determined to be the most suitable solvent for the extraction of the golden-thread wood color-related metabolites. Based on the experimental data from the UVVIS-NIR spectral scanning and comparative metabolomics, 66 differentially accumulated metabolites were significantly enriched in older wood, and among these, 46 metabolites (e.g., prenol lipids, carboxylic acids and their derivatives, steroids and their derivatives, and benzene and its substituted derivatives) were closely related to the golden-thread wood color formation (r = 0.526–0.944, P < 0.05). In addition, compared to younger wood (10 years old), older wood (30 and 80 years old) had greater durability and a stronger fragrance because of the enrichment of sesquiterpenoids in older wood. In this study, the effects of tree age on P. zhennan wood color, fragrance, and durability were determined through the alterations in the composition and contents of the related secondary metabolites. These findings contribute to a better understanding of the special wood color formation and can be used for a wide range of applications in the wood industry, from quality control to marketing and product development.

Role and prospects for development of the credit card market in Poland

Role and prospects for development of the credit card market in Poland

Why do aging households in agriculture prefer land abandonment to transfer? Evidence from hill plots in Sichuan, China

AbstractIncreased aging of the agricultural population may lead to a reconfiguration of land elements, but existing studies have not analyzed this on a plot level. China's vast hilly and mountainous regions will have a more serious impact on agricultural aging, but this context has still not received enough attention. Based on primary data from 2602 plots and 1080 farm households in the hilly areas of Sichuan, using human capital theory and instrumental variables approach, it is found that aging in agriculture will promote the abandonment of plots in the hilly areas, especially those that are remote, small in size and poor condition. Aging in agriculture will inhibit the out‐migration of plots in the hilly areas, and aging increases the abandonment of plots. In addition, this paper finds that the imperfect development of the land transfer market in hilly areas and the strong farmers' land endowment effect are the main reasons limiting land transfer. However, the inhibitory effect of the endowment effect diminishes with age. This study helps to rationally view the value of abandoned land and provides a new research perspective for parcel redistribution.

The improved integrated Exponential Smoothing based CNN-LSTM algorithm to forecast the day ahead electricity price

The deregulation of electricity market has led to the development of the short-term electricity market. The power generators and consumers can sell and purchase the electricity in the day ahead terms. The market clearing electricity price varies throughout the day due to the increase in the consumers bidding for electricity. Forecasting of the electricity in the day ahead market is of significance for appropriate bidding. To predict the electricity price the modified method of Exponential Smoothing-CNN-LSTM is proposed based on the time series method of Exponential Smoothing and Deep Learning methods of Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). The dataset used for assessment of the forecasting algorithms is collected from the day ahead electricity market at the Indian Energy Exchange (IEX). The forecasting results of the Exponential Smoothing-CNN-LSTM method evaluated in terms of Mean Absolute Error (MAE) as 0.11, Root Mean Squared Error (RMSE) as 0.17 and Mean Absolute Percentage Error (MAPE) as 1.53 % indicates improved performance. The proposed algorithm can be used to forecast the time series in other domains as finance, retail, healthcare, manufacturing.•The method of Exponential Smoothing-CNN-LSTM is proposed for forecasting the electricity price a day ahead for accurate bidding for the short-term electricity market participants.•The forecasting results indicate the better performance of the proposed method than the existing techniques of Exponential Smoothing, LSTM and CNN-LSTM due to the advantages of the Exponential Smoothing to extract the levels and seasonality and with the CNN-LSTM methods ability to model the complex spatial and temporal dependencies in the time series.

Marketing Strategy Of Tomatoes (Solanum Lycopersicum Mill) Using Soar And Qspm Methods In The Argoayuningtani Farmers Group, Senden Village, Selo District Boyolali District

This research aims to: (1) determine the internal factors that are the strengths and aspirations of tomatoes marketing in Senden Village, Selo District, Boyolali Regency. (2) knowing the external factors that become opportunities and results in tomato marketing in Senden Village, Selo District, Boyolali Regency. (3) knowing the marketing strategy for tomatoes in Senden Village, Selo District, Boyolali Regency. The method used in this research is quantitative descriptive. The selection of research locations was carried out purposively, namely Senden Village, Selo District, Boyolali Regency. Sampling with key informants. The types of data used are primary data and secondary data. Data collection techniques using observation, interviews and recording. The data analysis used is the SI and AI matrix, IE matrix and SOAR (Strength, Opportunity, Aspiration, Result) analysis. The results of the analysis from this research are that the SI matrix has a score of 2.28 and the AI matrix has a score of 2.31. The IE matrix analysis is in cell I, meaning this strategy is to grow and build (Hold and Maintain) with an intensive strategy consisting of market penetration, development and product development that focuses on existing tomatoes. The results of the SOAR analysis show five alternative strategies.

Strategi Komunikasi Pemasaran Terpadu melalui Media Sosial Instagram "Nona Judes"

The development of technology and communication has experienced quite amazing developments and made it easier for someone to promote products for sale, especially food and beverage products. Promotion is very important in marketing a product offline or online. Before online, offline influenced selling a product to the communicant, face to face, being able to see the expression on the communicant's face directly, as technology develops now, online sales increasingly influence sales because the sophistication of current technology greatly influences marketing developments. This research aims to determine the Integrated Marketing Communication Strategy via Instagram Social Media "Miss Judes". The theory used in this research is Integrated Marketing Communication. The method used in this research is descriptive qualitative. The data collection technique is conducting in-depth interviews, where the interview is intended to obtain data and information that is reliable and can be accounted for. So the researcher conducted interviews with key informants and informants. Data analysis techniques are collected, analyzed, and interpreted to obtain an overview of the observed variables, through data reduction. The research results show that Miss Judes' marketing communication strategy carries out product and service promotion activities through Instagram social media. Through social media, these activities are more effective, whereas Instagram social media only relies on internet quota or WiFi, which is different from direct promotion.

The Competitive Advantages and Development Strategies of Flexographic Printing in the Label Printing Market

This article thoroughly and comprehensively explores the competitive advantages and development strategies of flexographic printing in the label printing market. Through in-depth and detailed analysis of the characteristics of flexographic printing technology, the significant advantages demonstrated in key aspects such as printing quality, production efficiency, and cost control are clearly explained. Further in-depth research was conducted on the current application status of flexographic printing in the label printing market, and closely combined with the current market development trends and the evolution of cutting-edge technologies, forward-looking development strategies were proposed, covering multiple dimensions such as technological innovation, market expansion, and win-win cooperation. This provides a solid theoretical foundation and practical guidance for the sustained and stable development of flexographic printing in the label printing field.

Perbandingan Hukum Lelang Non Eksekusi Sukarela pada E-Market Place Auction antara Indonesia dengan Amerika Serikat

This research aims to compare non-executive voluntary auction laws on e-marketplaces between Indonesia and the United States. In Indonesia, the regulatory framework for non-executive voluntary auctions falls under the jurisdiction of the Ministry of Finance, focusing on transparency, consumer protection, and fairness in the auction process. The study highlights that despite Indonesia's adoption of digital technology to enhance auction accessibility and efficiency, regulations are still evolving to keep pace with technological advancements and market developments. Meanwhile, in the United States, non-executive voluntary auctions are detailed under federal and state laws, emphasizing consumer protection, transaction security, and robust enforcement to prevent harmful business practices. These stringent regulations encompass participant verification, bidding processes, and transaction settlement to ensure fairness and safety for all involved parties. The findings of this research indicate that differences in legal regulations, implementation, and approaches between Indonesia and the United States influence how non-executive voluntary auctions are conducted and governed in both countries. This comparison provides deep insights into the challenges and opportunities in developing legal policies that support digital economic growth in this era of globalization.

On the Economic Impacts of the Xinjiang Cotton Incident upon Indigenous Local Chinese Brands

Guided by the SWOT model, this thesis explores the economic impacts of the Xinjiang Cotton Incident upon indigenous local Chinese brands with a case study of Li Ning. Coupled with a comparative analysis method, this thesis analyses the changes on revenue and market development in 2020 and 2021 and finds that the Xinjiang Cotton Incident has great influences on Li Ning in economic income, market development, regional development and the development of relevant industries. From the perspective of domestic and international markets, the income of domestic market increases greatly, while the proportion of international market decreases. In a word, the revenue has been rising sharply in all aspects. In terms of the cotton industry and the sporting goods industry, it not only affects the production and sales of cotton in Xinjiang, but also seriously affects the safety of China's cotton industry and its downstream textile industry. But the revenue of domestic sports brands will continue to rise in the coming period. Domestic sports brands will usher in a new era of development. For the future development, Li Ning Company is supposed to position products and target consumer groups accurately, improve the quality of advertising, and to create a more distinctive brand culture.

Research on Carbon Emission Right Accounting Issues and Countermeasures

Against the backdrop of global climate change, China is actively promoting the construction of an ecological civilization and green and low-carbon development, and the accounting treatment of carbon emissions trading, as one of the important market mechanisms to achieve this goal, has become increasingly prominent. Although China has issued a number of accounting guidance documents on carbon emission rights trading, there are still a number of challenges and shortcomings, which limit the accuracy and comparability of accounting information and affect market participants' perception of the value of carbon emission rights. This paper firstly outlines the international accounting confirmation and measurement methods for carbon emission rights allowances, and comparatively analyzes China's current relevant regulations, pointing out the controversial points and deficiencies therein. In response to the above problems, this paper puts forward specific suggestions for improvement in the expectation that, to help the development of China's carbon emission right trading accounting system, to improve the quality of China's carbon emission right trading accounting system, to promote the healthy development of the entire carbon market, and to provide a solid accounting foundation for the realization of China's carbon neutrality goal.

Review on Location of Fresh Cold Chain Logistics Distribution Center

This paper reviews the research status, existing problems and challenges, and future research directions of the location of fresh cold chain logistics distribution centers. The research background is based on factors such as the development of the fresh product market, the technological progress of cold chain logistics, the requirements of environmental protection and sustainable development, and the intensification of market competition. The significance of site selection includes improving transportation efficiency, reducing costs, improving customer satisfaction, optimizing supply chain networks, and achieving environmental sustainability.The former focuses on low-carbon, demand uncertainty, and competitive distribution center location, while the latter focuses on the new retail environment and cold chain distribution. The review of relevant literature points out that some progress has been made in the research, but there are challenges such as market demand uncertainty, incomplete data and limited model applicability.Future research directions include the location model of cold chain logistics distribution center based on big data, the location model considering sustainable development factors, and the location method of cold chain logistics distribution center integrating multi-index evaluation.In the conclusion, it is pointed out that in the past, the time window and the overall logistics network were rarely used as research evaluation indicators in the site selection problems, and the cost of reverse logistics and closed-loop supply chain was rarely considered. In the prospect part, it is proposed that in the future, we should pay attention to the problems of reverse logistics and closed-loop supply chain in the distribution of fresh agricultural products, consider the multi-objective optimization of low-carbon cold chain logistics network in different policies and fields, and combine full simulation technology and optimization technology to realize the system optimization research.

Technology-push, demand-pull and spillover from the major market demand: The case of the United States wind power market

This study aims to examine the technology-push and demand-pull hypotheses developed for a wind power industry. The wind power industry plays an important role in society as an emerging sustainable technology with strong social supports. Using patents as a proxy for a technology-push factor and the United States wind power net generation as a proxy for a demand-pull factor from 2001 to 2018, this study shows that the technology development in the major market (e.g., United States) drives its domestic market demand, whereas the domestic market demand in the major market does not drive its domestic technology development. However, the global technology development drives the major market demand and the major market demand drives the global technology development bilaterally. These results enable us to infer a spillover effect from the major market demand, indicating global players benefit from the major market demand largely created by social and government supports in major market. These findings highlight the implications for policy makers pursing both environmental and industrial policy goals and for firm managers attempting to enhance competitiveness in the wind power market.

Green environmental management system and environmental performance: Results from PLS-SEM and fsQCA

Advanced green technology developments have induced key innovation approaches in the manufacturing industry to boost sustainable development (SD) in the present market. Despite the industrial need for green innovation and its associated benefits to regulate and optimise their operations and environmental performance, respectively, green innovation implementation and adoption remain inadequate. Due to the key significance of green innovation for firms operating in emerging markets, this research endeavors to investigate the green innovation influence on the relationship between Environmental Management System adoption and impact on Environmental Performance. To bridge this gap, The current work aimed structuring and validating a study model via the integration of Resource-Based View (RBV) and Institutional theories with the Technology-Organisation-Environment (TOE) framework to persuade companies towards green innovation implementation. Survey questionnaires were disseminated to 183 employees in a manufacturing company to collect the study data, which were then assessed with partial least squares-structural equation modelling (PLS-SEM) and Fuzzy-set Qualitative Comparative Analysis (fsQCA). Resultantly, the model's integrated constructs of perceived benefits, top management support, coercive pressure, normative pressure, and mimetic pressure predicted green management accounting practices. Green management accounting practices directly and significantly impacted green environmental performance, while green innovation significantly and negatively moderated the ‘green management accounting practice-green environmental performance’ link. Thus, the integrated model provides decision-makers with clear implications of green practice and innovative technology adoption for optimal environmental performance. The outcomes derived from literature reviews on advanced green technologies implied a notable ‘green management accounting practice-environmental performance’ relationship within emerging countries.

Serial mediation effect of service innovation and word of mouth on mutual fund investment decision through mobile customer relationship management

Purpose The purpose of this paper is to examine the effect of mobile customer relationship management (mCRM), service innovation (SI) and word of mouth (WOM) on the investment decisions (IDs) of mutual fund investors. Design/methodology/approach This paper presents a new model for impacting the IDs of mutual fund investors. To verify the suggested model, Partial Least Squares with Structural Equation Modelling are used. For analysis, a survey questionnaire is designed, and data inputs were invited from more than 400 online mutual fund investors in Delhi NCR. Findings The outcomes reveal that the ID of mutual fund investors is significantly influenced by WOM. WOM, in turn, is significantly impacted by mCRM applications through SI playing a mediating role. Research limitations/implications The limitation with reference to survey respondents was that only online mutual fund investors using mCRM applications were considered. Moreover, this study was conducted in Delhi NRC, and a limited sample was considered. Practical implications The result from this research helps the financial organisation to consider SI in their mCRM application as one of the main concerned areas for increased WOM that directly influences the ID of mutual fund investors. Originality/value This study highlighted the impact of SI and WOM on the mutual fund investors’ decision, who use mCRM application. The outcome may contribute to the theoretical framework of IDs concerning mCRM applications. The results of this research offer practical implications for financial organisations in strategising their marketing and product development plans in the context of mutual funds. Also, the mutual fund ID through mCRM application is positively influenced by SI and WOM using both constructs as sequential mediating tools. This research offers new insights into mCRM application for mutual fund investors and financial organisations in India.

The Impact of Little Red Book Key Opinion Leader Characteristics on Young Consumers' Intention to Purchase Luxury Goods

In the era of globalization, marketization, and intelligent development, Xiaohongshu, as a mainstream social media platform with a large volume in China, is committed to the development of Key Opinion Leader (hereinafter referred to as KOL) to attract traffic and increase the conversion rate of purchase. Therefore, in the online marketing of luxury brands, KOL with different characteristics of Little Red Book plays an important role in whether young consumers are willing to buy. Nowadays, under the wind of Influencer marketing, the competition of KOL group is very fierce, the content paradigm tends to be homogenized, the cost of transferring consumers' attention is low, and KOL has its distinctive features and personalized characteristics to stand out, attract the traffic, and get consumers' attention. This paper takes influencer marketing as the background to study the influence mechanism of Little Red Book KOL characteristics on young consumers' willingness to buy luxury goods. The research results show that young luxury consumers are more likely to be influenced by their recommendation information when they have purchase demand and are familiar with opinion leaders to a certain extent.

Applicaition and Evaluation of the Value Investing Approach

In tandem with China's economic expansion, there has been a notable rise in per capita disposable income, fostering an influx of individual investors into the securities market. This surge is underpinned by improved transaction mechanisms, with individuals now comprising the primary market participants. However, challenges persist as investment discipline wanes amidst a backdrop of heightened randomness and exorbitant high-frequency operation fees. Consequently, the development of China's secondary stock market remains nascent, fraught with uncertainties, and prone to frequent instances of frustrated investments. The burgeoning popularity of Warren Buffett's value investment theory signals a paradigm shift, with investors increasingly gravitating towards identifying undervalued stocks for sustained returns. Nonetheless, ordinary retail investors grapple with a dearth of investment knowledge, compounded by the intricacies of different industries, thus impeding their ability to effectively apply professional analysis methods. To bridge this gap, this paper endeavours to synthesize prevailing empirical analysis methods commonly employed across diverse industries. Through a comprehensive literature review and reference analysis, it seeks to provide insights aimed at enriching investors' comprehension and application of value investment principles. By elucidating practical approaches, this research contributes to the broader discourse on investment value, fostering a more nuanced understanding within the context of China's evolving securities market landscape.

Exploring the Phenomenon of Commercial Branding and Art Co-branding in China Based on Interdisciplinary Perspectives

With the continuous development of China's consumer market, art, and commercial brand co-branding in the era of the commodity economy has become an important development strategy in the commercial field, the brand enriches the connotation of the brand with the power of the artist, and the art also goes to the public with the influence of the brand to broaden the road of art development. However, at the same time, it also exposes many problems in the phenomenon of art and commercial brand co-branding. This study adopts the literature research method, comparative and inductive method, and case study method to analyse the phenomenon of co-branding between art and commercial brands based on different disciplinary perspectives of brand visual image design, art commercialization, and aesthetic education. Through the study, the co-branding of brand and art needs to grasp and deepen the connotation of the brand and explore the potential of cooperation. In addition, the artwork needs to highlight the aesthetic value and return to the heart of art. Finally, people should pay attention to the purpose of aesthetic education and cooperate to create an aesthetic environment. Thus, the characteristics and commonalities between the two can be better grasped and utilised to seek more interdisciplinary and diversified co-branding paths. While creating a favourable atmosphere for art and business brands they should actively take on more social responsibility and continue the vitality of both.

The Impact of Rising House Prices on Young People’s Fertility

At present, the problems of population aging and low fertility of young people in China have become more and more serious, which has become an important factor restricting economic and social development. Although the “comprehensive” policy has been implemented and has achieved certain effects, the willingness of young people to give birth is still low. At the same time, the rise of housing prices has become one of the major social and livelihood issues, and the impact of housing prices on people’s fertility intentions has also received widespread attention from scholars at home and abroad. Based on this, this study takes young people of childbearing age in China as the research object, adopts the research method to study the impact of rising housing prices on the fertility behaviour of young people in the city, and based on the conclusions drawn, puts forward targeted suggestions for the benign development of the real estate market and the effective implementation of the population policy.