Economics & Management Information

Research on the Impact of Equity Incentives on the Investment Behavior of M Listed Company

2025-01-10T16:27:56+08:00

Investment plays an important role in the growth of modern enterprises. It is not only the cornerstone of sustainable development, but also the investment efficiency. Now China is in an important period of high-quality economic development and optimization of resource allocation, using equity incentive as a long-term incentive tool to improve corporate investment behavior and improve investment efficiency, is critical to the company’s sustainability. In the context of China’s long-term shift from an investment-driven economy to one that is “innovation-driven, service-oriented and consumption-driven”, traditional enterprises are actively transforming to emphasize innovation investment, the rapid development of new enterprises emphasizes efficiency investment, which becomes the focus of “efficiency dispute” and “innovation dispute” among enterprises. The 14th five-year plan proposes to achieve high-quality development and give full play to the advantages of innovation-driven development. In this case, the equity incentive is a kind of long-term incentive mechanism which is helpful for the development of the enterprise, thus reduces the manager’s short-sighted behavior, lets it be able to carry on the daily management activity from the company long-term development angle one kind of effective means and the mechanism. In this study, M listed company in the home appliance industry are selected as research cases. Through the analysis of the impact of equity incentives on the investment behavior of M listed company five times, although it did not make the amount of investment significantly increased, but every time to complete the plan of the exercise of the conditions, long-term exercise of the right to make the late return to a stable development. Under the incentive mechanism of stock right incentive, the interests of shareholders, managers and core employees of M listed company are tied up well, which makes all departments, whether shareholders or employees, make decisions, always for the future development and long-term interests of the enterprise, so through the way of equity incentives to improve their loyalty to the enterprise, enthusiasm and sense of responsibility. The conclusions can provide theoretical support and empirical evidence for enterprises to improve their investment behavior by using equity incentive, and provide reference for enterprises in the industry to design and implement equity incentive mechanism.

Research and Simulation on Improving Methods for Optimizing Local Catering Revenue Forecast

2024-12-25T10:45:59+08:00

Accurately predicting catering income is of great significance for promoting domestic economic development. The traditional cointegration analysis prediction method is difficult to accurately describe the causal relationship between catering income and local economic development, resulting in poor prediction effects. This study proposes a catering income optimization prediction method based on time series. Firstly, it tests the cointegration of catering income and local economic development time series data, constructs a two-variable autoregressive model, and then uses the Granger method to test the causal relationship. Calculate the proportion of the catering industry as a direct influencing factor, and count the correlation effect to form an optimized prediction model. Taking the data of Yan’an City from 2014 to 2023 as an example, simulated by eviews 5.0 software, the results show that this model is superior to the comparison algorithm in prediction accuracy, error rate, stability and time efficiency. The conclusion is that this method can effectively improve the accuracy of catering income prediction and contribute to local economic research and planning.

Research on the Impact of Low-Carbon Pilot Policies on the Upgrading of China’s Urban Industrial Structure

2025-02-13T17:21:34+08:00

The construction of low-carbon cities in China represents a profound socio-economic transformation. This study investigates whether the implementation of low-carbon city pilot projects facilitates industrial structure adjustment. Utilizing panel data from 297 prefecture-level cities spanning 2001 to 2020, this research treats the low-carbon city pilots as a quasi-natural experiment to examine their impact on industrial structure upgrading and the underlying mechanisms. The findings indicate that low-carbon city initiatives positively contribute to the optimization of the industrial structure but have a limited effect on its rationalization. Mechanism analysis reveals that green technological innovation driven by pilot projects plays a crucial role in promoting industrial structure upgrading. Regional heterogeneity analysis shows that the impact of low-carbon city pilots is more pronounced in central and western regions compared to the eastern region, with no significant effect observed across all three regions collectively. This study offers valuable insights for integrating low-carbon city development with industrial structure upgrading.

Agricultural Product Price Prediction Based on the Quadratic Decomposition of CEEMDAN-VMD

2024-12-09T17:18:42+08:00

Focusing on agricultural futures price forecasting, a prediction method based on quadratic decomposition is proposed in this paper in response to the non-stationarity, unstructured nature, and nonlinearity of agricultural price-time series data. Then drawing on the successes of deep learning in other financial domains, the quadratic decomposition of CEEMDAN-VMD that effectively addresses the non-stationarity of agricultural price-time series is introduced. And by constructing the CEEMDAN-SE-VMD-LSTM model, the paper performs an in-depth decomposition and refined processing of daily agricultural price data, successfully capturing the subtle characteristics of price fluctuations to achieve higher precision in forecasting. Moreover, the results indicates that the CEEMDAN-VMD model outperforms the comparative models in terms of forecasting accuracy for the three types of agricultural commodities.

Research on BG Group’s Working Capital Management under Financial Sharing Mode

2025-01-10T16:29:00+08:00

In recent years, with the rapid development of the domestic market, many companies have achieved tremendous growth. However, the continuous growth of the group company has also led to many challenges in its branch structure, such as decreased efficiency in financial management and increased costs. These challenges have become obstacles to the further development of group companies, and many group companies have begun to take corresponding measures to address these challenges. Among them, the emergence of the financial sharing center brings a glimmer of hope for the group company to cope with these challenges. It can not only quickly integrate the company’s financial resources, but also effectively control operational risks, reduce operating expenses, and enhance the company’s strength. BG Group, as a model in the domestic steel industry, has made significant progress since launching its financial sharing model. Its successful cases can not only provide reference for similar companies, but also provide important guidance for future investment and financing. Through horizontal and vertical analysis of BG Group’s financial data over the years, identify its shortcomings in working capital management and propose corresponding optimization suggestions to improve the efficiency of the group’s working capital management.

Qingdao Port Throughput Prediction-Based on Grey Prediction Model

2024-12-31T14:05:54+08:00

Since Qingdao has been integrated into the “Belt and Road” initiative, the throughput of Qingdao Port has been developing rapidly, but at the same time, the rapid growth of throughput has overwhelmed port infrastructure. Therefore, it is of great significance to measure the throughput scale and study the development trend of throughput. Based on the data of cargo throughput and container throughput of Qingdao port from 2019 to 2022, the grey prediction GM(1,1) model was established and tested using EXCEL, Pycharm64, MATLAB, and mathematical modeling methods. The model is proven to be available, and the cargo and container throughputs of Qingdao Port from 2023 to 2026 are predicted. The results show that the cargo and container throughputs of Qingdao Port increase annually, and the development potential of container transportation is huge. The port department should strengthen the planning and design of the port’s throughput capacity, improve it, and meet the growing actual needs of the port.

Logistics Demand Forecast in Shandong Province Based on Grey Forecast

2024-12-20T14:07:38+08:00

This paper takes the logistics demand in Shandong Province as the research object, selects the freight turnover volume as the key indicator. After collecting and sorting out the logistics data in recent years, it analyzes and builds models by using the grey prediction model to clarify its development trend and obtain the prediction results, which show that the freight turnover volume gradually increases in the future and the logistics demand presents a growing trend. This research has important guiding significance for the logistics planning and resource allocation in Shandong Province, and is conducive to the relevant departments to reasonably arrange resources and improve logistics efficiency.

Revitalizing Peking Opera: Bridging Tradition and Modernity through Marketing and Cultural Innovation

2025-02-05T14:02:54+08:00

Peking Opera is a quintessence of Chinese culture. It has experienced significant challenges in the modern era, since audience demographics is shifting and digital entertainment is rising. This paper explores the history, current challenges, and potential solutions for revitalizing Peking Opera. The author used marketing and consulting strategies. It is based on the “4Ps” (Product, Price, Place, Promotion) and “5Cs” (Customer, Company, Collaborators, Competitors, Context) concepts. The strategies include co-branding with popular consumer brands, adjusting ticket pricing for affordability, promoting via social media, and integrating modern elements such as fan culture and digital marketing. The paper also highlights the importance of inviting international artists to experience and promote Peking Opera globally. By using these strategies, Peking Opera can regain its position in the entertainment market.