-
The New Social Media Marketing Plan for HK Maxims’ Cakes in Mainland China – A Case Study
Issue:
Volume 6, Issue 6, December 2018
Pages:
246-254
Received:
9 December 2018
Published:
11 December 2018
DOI:
10.11648/j.ijefm.20180606.11
Downloads:
Views:
Abstract: This paper presents a case study of proposing a new marketing plan for Maxims’ Cakes, which is from Hong Kong as well as the food brand under the Maxims’ Group. This company is a well-known brand in Hong Kong area, yet facing some problems now, such as weak public recognition and fierce competition in Mainland China. This paper is aimed to put forward a brand new blueprint that will contribute to its long-term development from the perspective of utilizing social media. In order to achieve the main purpose of this case study, sufficient market research and abundant materials with charts are introduced in the paper. Necessary methods like PEST and SWOT analysis are also applied for better results. Then for addressing these problems successfully in mainland, a new social media marketing plan is formulated based on both macro-economic and micro-economic analysis, as well as considering the objectives and target audience of the company. In addition, a detailed implementation plan and a contingency plan are included in the proposed marketing plan, to ensure the smooth application of the proposed strategies in practice. It is hoped that this study can provide guidance and inspiration for the development of Maxims’ Cakes and other similar companies in need.
Abstract: This paper presents a case study of proposing a new marketing plan for Maxims’ Cakes, which is from Hong Kong as well as the food brand under the Maxims’ Group. This company is a well-known brand in Hong Kong area, yet facing some problems now, such as weak public recognition and fierce competition in Mainland China. This paper is aimed to put forw...
Show More
-
Performance Evaluation of Machine Learning Approaches for Credit Scoring
Anqi Cao,
Hongliang He,
Zixuan Chen,
Wenyu Zhang
Issue:
Volume 6, Issue 6, December 2018
Pages:
255-260
Received:
9 December 2018
Published:
11 December 2018
DOI:
10.11648/j.ijefm.20180606.12
Downloads:
Views:
Abstract: In today’s world, assessing financial credit risk is of immense importance in both accounting and finance areas. Financial institutions need to keep the credit default risk to an acceptable level so that higher profitability can be achieved. Recently, with the fast development of modern data science, many machine learning methods have been applied to make accurate predictions based on the information extracted from diverse data sources. The present study aims to apply data mining techniques in acquiring evidence used to judge which classifier performs better in assessing credit scoring for a proposed model. The two datasets employed in the analysis of this paper are the “Give Me Some Credit” dataset and the “PPDai” dataset. Eight classification methods are adopted in the paper including Linear Discriminant Analysis (LDA), Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), eXtreme Gradient Boosting (XGboost) and Multi-Layer Perceptron (MLP). Three indicators (Accuracy, AUC and Logistic loss) are used to analyze the performance of each classifier. The final experiment results indicate that the XGBoost classifier has a better performance in predictive analytics compared with the other seven models. The study results will also provide practical values for financial institutions in choosing the appropriate classifier so as to make correct judgements when they are faced with credit problems in real situations.
Abstract: In today’s world, assessing financial credit risk is of immense importance in both accounting and finance areas. Financial institutions need to keep the credit default risk to an acceptable level so that higher profitability can be achieved. Recently, with the fast development of modern data science, many machine learning methods have been applied ...
Show More
-
Research on the Construction of Annual Report System of Urban Libraries in China
Issue:
Volume 6, Issue 6, December 2018
Pages:
261-268
Received:
9 December 2018
Published:
11 December 2018
DOI:
10.11648/j.ijefm.20180606.13
Downloads:
Views:
Abstract: The Third Plenary Session of the 18th CPC Central Committee clearly stated the modernization of the national governance system and the ability to govern. The library annual report system is a complete framework and mechanism for dealing with the interaction between the state, libraries, society and citizens. The important component is an important part of the modern state governance system. The Public Cultural Service Guarantee Law and the Public Library Law regulate the annual report. As one of the types of public cultural facilities, it is inevitable that public libraries establish an annual report system and improve the mechanism of library management and service. New situations and new problems encountered in systems, business processes, and improving service efficiency have a major role to play. The paper uses literature research, network research, questionnaires and other methods to investigate the current situation of the construction of the annual library system of urban libraries in various provinces and municipal libraries across the country. The Shenzhen Library and the Guangzhou Library have established an annual report system or norms, which are compiled in the annual report. In the process, there are problems such as imperfect system design, unattractive content structure, inconsistent data statistics, and timely timeliness. City libraries can propose strategies for improving system design, user experience, supervision and evaluation, and provide reference for the establishment of the annual public notice system and the preparation of annual reports for the new round of opportunities.
Abstract: The Third Plenary Session of the 18th CPC Central Committee clearly stated the modernization of the national governance system and the ability to govern. The library annual report system is a complete framework and mechanism for dealing with the interaction between the state, libraries, society and citizens. The important component is an important ...
Show More
-
The Impact of Credit Support on Low Carbon Economy: An Empirical Study Base on Macro and Micro Economic Level in China
Shuai Wang,
Zhizhang Li,
Chen Wen
Issue:
Volume 6, Issue 6, December 2018
Pages:
269-276
Received:
9 December 2018
Published:
11 December 2018
DOI:
10.11648/j.ijefm.20180606.14
Downloads:
Views:
Abstract: Financial support is an important boost power for low carbon economy. From macroeconomic and microeconomic level, this paper analyzes the impact of credit support on low carbon economy. At the macro level, this paper uses VAR model to analyze the relationship between credit support, low carbon economy and GDP. At the micro level, this paper uses dynamic panel data model to analyze the relationship between green loan, operational efficiency and financial performance. The empirical result shows that under the macroeconomic analysis framework, the support effect of the loan on low carbon economy is significant, on the other hand, the decreasing of energy consumption caused by the low carbon economy is not the granger cause of the credit loan, the endogenous development ability still needs to be formed, while under the microeconomic analysis framework, we find that the short-term loan negatively related with the operation efficiency, and long-term loan positively related with the operational efficiency, while combining the influence of these two categories, the loan does not have a significant impact on the operational efficiency and financial performance of the energy-saving and environment enterprises. From the micro level, the role of credit is still constrained for supporting the low carbon economy, and the efficiency. Although society pays more and more attention to low carbon economy, there is a far distance to fill the goal of low carbon economy establishment.
Abstract: Financial support is an important boost power for low carbon economy. From macroeconomic and microeconomic level, this paper analyzes the impact of credit support on low carbon economy. At the macro level, this paper uses VAR model to analyze the relationship between credit support, low carbon economy and GDP. At the micro level, this paper uses dy...
Show More
-
Research on the “City’s Study” of Urban Library Service Mode in China
Issue:
Volume 6, Issue 6, December 2018
Pages:
277-282
Received:
9 December 2018
Published:
11 December 2018
DOI:
10.11648/j.ijefm.20180606.15
Downloads:
Views:
Abstract: Under the background of urbanization and networkingalong with the trend of digital reading, the urban library service model needs to be transformedand the service function needs to be enriched.“City’s Study” refers to the city’s 24-hour self-service entity reading space jointly created by the urban libraries and partners. It is a new type of service mode for urban libraries in China. The emergence of the “City’s Study” has greatly reduced the service radius of public libraries. Yangzhou City in Jiangsu Province has been building the “City’s Study” since 2015. Yangzhou City has built 20 “City’s Study” till now and achieved good results. It is an advantageous demonstration of the transformation of urban library service models in China and has certain research value. This article uses literature research, field investigations, field interviews and other methods to conduct an in-depth investigation of the Yangzhou “City’s Study”. The “City’s Study” in Yangzhou is taken as an example to introduce the construction situation, service effectiveness and existing problems of the “City’s study”. Finally, combined with the development trend of libraries and the concrete practice of Yangzhou “City’s Study”, the future development tendency of “City’s Study” service is summarized.Credit services and WeChat services should be popularized in the “City’s Study” service which should be developed in the direction of intelligence, convenience and diversification.
Abstract: Under the background of urbanization and networkingalong with the trend of digital reading, the urban library service model needs to be transformedand the service function needs to be enriched.“City’s Study” refers to the city’s 24-hour self-service entity reading space jointly created by the urban libraries and partners. It is a new type of servic...
Show More
-
Determining Whether the Chinese Services Industry Is Stagnant: An Empirical Test of Baumol’s Model
Issue:
Volume 6, Issue 6, December 2018
Pages:
283-289
Received:
9 December 2018
Published:
11 December 2018
DOI:
10.11648/j.ijefm.20180606.16
Downloads:
Views:
Abstract: The effects of increasing employment share of services on the real GDP growth have been investigated by a series of theoretical and empirical analysis for developed countries. In contrast, there are few empirical test studies of such effects on macro economies for developing countries. Baumol predicts that the increasing employment share of services will lower real GDP growth and thus productivity growth in services. Based on the extended Baumol’s model of two-sector unbalanced growth, this study provides an empirical analysis of the causes of employment shift and the impact of rising share of services on the productivity growth in China. Though the GDP share and the employment share of services has been increasing secularly for decades in China, the growth rate of labor productivity in services is slightly higher than that in manufacturing. The results have not confirmed the Baumol’ hypothesis because of the low labor productivity in manufacturing and large number of rural labor. The external shocks of demand for services show weak effect on the employment growth in services and are not significant. Furtherly, the regression analysis shows that there is the potential possibility of "cost disease" in China. This study empirically tests the impact of the rising services on the overall economy and can help to develop appropriate industrial policies for developing countries.
Abstract: The effects of increasing employment share of services on the real GDP growth have been investigated by a series of theoretical and empirical analysis for developed countries. In contrast, there are few empirical test studies of such effects on macro economies for developing countries. Baumol predicts that the increasing employment share of service...
Show More
-
Viewing the Development Strategy of Professional Degree Graduate Education from the Demand of China's Industrial Development
Zuhua Jiang,
Zhongqin Lin,
Tianjuan Xia,
Haili Wang,
Hong Zheng
Issue:
Volume 6, Issue 6, December 2018
Pages:
290-296
Received:
9 December 2018
Published:
11 December 2018
DOI:
10.11648/j.ijefm.20180606.17
Downloads:
Views:
Abstract: China's economy is currently in an important period of transformation from the demographic dividend to technological innovation, and the professional graduate education is significant for the successful transformation. Thus, Chinese professional graduate education is supposed to closely mingle the Belt and Road Initiative (BRI) to meet the change of the demand structure of talents. This research focuses on the law of China's industrial development in the past 10 years from the perspective of BRI by interpreting the opportunities and challenges brought by the strategy; explores the characters of industrial development in both Yangtze River Delta (YRD) and Pearl River Delta (PRD) regions，thereby forecasting the China's industrial development in the next 20 years. The development scales and key futures of major industries in China are also discussed based on the international industry demand and expansion. In addition, this paper analyses the characteristics of demand for high-level talents, discusses the present situation, and analyses the trend of demand for high-end applied talents in various industries in the short and medium term. Finally, this paper forecasts the demand for high-level applied talent in various professions and probes into the development strategy of professional degree and postgraduate education in China to meet the talent demand of industries.
Abstract: China's economy is currently in an important period of transformation from the demographic dividend to technological innovation, and the professional graduate education is significant for the successful transformation. Thus, Chinese professional graduate education is supposed to closely mingle the Belt and Road Initiative (BRI) to meet the change o...
Show More
-
Empirical Study of the Regional Differences of the Influences of Cultural Distance on Chinese Import-Export Trade
Tian Hui,
Song Qing,
Chu Tiansi
Issue:
Volume 6, Issue 6, December 2018
Pages:
297-305
Received:
17 October 2018
Accepted:
14 November 2018
Published:
20 December 2018
DOI:
10.11648/j.ijefm.20180606.18
Downloads:
Views:
Abstract: According to the cultural clustering theory, this paper first classifies 31 countries/regions, China’s close trade partners, into 6 cultural clusters, and then empirically studies the influence of the cultural distance between China and each country within each cluster on Chinese import-export trade with them during 1995–2017. The results are in two aspects: First, there exist differences in the influence of the national cultural distance between China and each country within each cluster on Chinese import-export trade with them. In general, China’s export to each country in different cultural clusters is more susceptible to national cultural distance than its import from it. Second, there are also differences in the influence of the distance on each cultural dimension between China and each country within each cluster on Chinese import-export trade with them, and the influence directions are also different. Inspired by these conclusions, we further classify Chinese trade partners into 2 types: the export-sensitive type and the two-way sensitive type. These findings provide a new policy frame and constructive enlightenment for China to develop its international trade in the new era.
Abstract: According to the cultural clustering theory, this paper first classifies 31 countries/regions, China’s close trade partners, into 6 cultural clusters, and then empirically studies the influence of the cultural distance between China and each country within each cluster on Chinese import-export trade with them during 1995–2017. The results are in tw...
Show More
-
Application of Chaos Theory in Incomplete Randomized Financial Analysis
Issue:
Volume 6, Issue 6, December 2018
Pages:
306-310
Received:
4 January 2019
Published:
5 January 2019
DOI:
10.11648/j.ijefm.20180606.19
Downloads:
Views:
Abstract: In the new economy, some tech companies have rapidly built market power and modernization led to the unpredictable bank-to-client relationship. Moreover, financial markets are confronted with big data and as a result, digitization and further introduction of mathematical techniques and new models were brought into the financial industry. Uncertainty has increased markedly in the macroeconomic risk, payment systems, capital accumulation and investment. But so far, timid attempts are made to elucidate the possibilities of the chaos theory application in finance. To verify a theoretical model whether or not is an accurate representation of an empirically observed phenomenon is one of the most challenging investigations in the scientific field. The following study explores the problem related to incomplete randomized financial analysis. The behavior of financial market relates to the circumstances that are both internal and external. Chaos mathematics is an acute methodology to be applied in the analysis of the randomness in financial markets instead of completely randomized design. The completely randomized design places the emphasis on which the factor effects are constant and assumes the observation from experiments to be statistically independent. However, this hypothesis is often not realistic and practical. The correlated impact should not be ignored. This article attempts to clarify some points related to the possibility of using chaos theory in finance.
Abstract: In the new economy, some tech companies have rapidly built market power and modernization led to the unpredictable bank-to-client relationship. Moreover, financial markets are confronted with big data and as a result, digitization and further introduction of mathematical techniques and new models were brought into the financial industry. Uncertaint...
Show More
