Advances in Information Management and Economic Development Research

The Impact of Green Finance on Carbon Emissions: An Empirical Study Based on Spatial Metrology

Tiantian Du — 2024-08-07

Green finance plays a crucial role in driving industrial transformation and upgrading,

crucial for China’s dual carbon goals. This study constructs comprehensive green finance indicators

from market and policy perspectives using the entropy method. Panel data from 30 Chinese

provinces (2007-2020) is analyzed via spatial Durbin model to assess the impact of green finance

policies on carbon emissions, considering driving mechanisms and geographical heterogeneity.

Findings show a steady increase in green finance development across Chinese provinces, with the

east leading. Local green finance significantly correlates with carbon reduction, especially in the

east and central regions. Policy recommendations are derived from these insights. The final policy

recommendations come from these insights.

Research on Innovative Development of Urban Low-carbon Technology and Green Economy

Jianxia Wang — 2024-08-07

This paper focuses on analyzing the effects and mechanisms of green fiscal expenditure

policies on low-carbon technology innovation. This section selects pilot cities with comprehensive

demonstration of energy conservation and emission reduction fiscal policies as typical green fiscal

expenditure policies from the city level, focusing on green fiscal expenditure.On this basis, this

paper conducts econometric model analysis on the estimated coefficients of the benchmark

regression, confirms the robustness of the benchmark regression results, and finds through

heterogeneity analysis that the effect of the demonstration policy in promoting low-carbon

technology innovation is more significant in non-resource-based cities and non-old industrial base

cities.

E-Commerce Delivery Optimization with Bicycle Deliveryman and Dual Autonomous Robots

Wenxuan Kang — 2024-08-07

The rapid growth of e-commerce has led to a surge in package deliveries, particularly

during promotional events, resulting in increased workload for deliveryman. To address this

challenge, this paper explores traveling salesman problem with bike and two autonomous delivery

robots-referred to as 2TSPBR. The robots, each with three different-sized cargo compartments, are

responsible for delivering packages of varying sizes. When their inventory is low, they restock from

the bicycle’s service points. The Variable Neighborhood Search (VNS) algorithm is employed to

generate and optimize delivery routes for the bicycle and robots. The results indicate that the VNS

algorithm significantly outperforms the CPLEX solver in terms of computational time, providing rapid

convergence to near-optimal solutions. This study demonstrates the efficiency and effectiveness of

the proposed VNS algorithm in delivering accurate solutions for the integrated delivery system.

Evaluation of Data Assets for Internet Enterprises: A Case Study on K Company

Eryao Xu — 2024-08-07

The "Digital China" agenda has made data assets crucial for enterprises’

competitiveness, especially on the Internet sector. However, the current method of evaluating their

worth needs improvement. Taking K Company as an example, this study, based on analytic

hierarchy process, uses the binomial tree model to evaluate the value of data assets by determining

their potential worth. It aims to promote the growth of the data economy and digital transformation in

manufacturing organizations by focusing on revenue.

The Impact of Low-Carbon Pilot City Policy on Corporate Asset Efficiency: Evidence from China's A-Share Listed Companies

Chenhong Zheng — 2024-08-07

This study employs machine learning and the difference-in-differences (DID) approach to

analyze the impact of China's "Low-Carbon City" pilot policy on the asset efficiency of A-share listed

companies. The findings indicate that the policy has generally suppressed corporate asset

efficiency, particularly in state-owned enterprises and large-scale companies. The study also

reveals that the policy's impact is not significant in enterprises located in the eastern regions.

Further robustness checks are conducted through predictive analysis using the random forest

model, confirming the stability of the results. This research provides a basis for optimizing

low-carbon policies and is of significant importance for promoting corporate low-carbon

transformation and sustainable economic development.

Research on the operational capital management performance of real estate enterprises under the background of high-quality developmen

Qian Huang — 2024-07-23

Taking Vanke Real Estate as the research object, this study uses entropy weight method

and grey relational analysis to quantitatively evaluate its working capital management performance

from three dimensions: profitability, riskiness, and liquidity. The results show that during the period

from 2021 to 2023, Vanke ranks behind Poly in terms of comprehensive grey relational degree

ranking, indicating inferior working capital management performance compared to Poly. Based on

the above analysis results, this study provides insightful suggestions for optimizing the working

capital management strategies of real estate companies. It serves as a theoretical reference for

improving the working capital management performance of real estate enterprises and promoting

their high-quality development.

A Brief History of the Early Development of China's Social Philanthropy Field and Its Impact on the Later Development of the Philanthropy Field

Zhiguo Wang — 2024-07-23

Although charity has been developed in China for decades, its basic value attributes have

not been truly stimulated in Chinese society. If we look at the development of philanthropy in China

alone, we will not only fail to touch the core of the problem, but also deviate from it. Based on a brief

analysis of the early development history, this paper finds that the problem has been foreshadowed

in the earliest historical development. Through a combination of qualitative research methods, this

paper realizes that the key to improving and even solving the problems in the field of public welfare

and charity in Chinese society does not lie in the problems of the field itself, but rather in the political

behaviors and modus operandi behind the problems that appear to be public welfare and charity.

Hybrid Deep Learning Model for Traffic Flow and Speed Forecasting at Urban Junction

Li Ma — 2024-09-23

The hybrid deep learning model H-CNN-LSTM (Hybrid Convolution Neural Network and

Long Short-Term Memory) is introduced in this paper. The model combines CNN to extract traffic

flow and speed features, LSTM networks to model temporal dependencies, and employs a

combined matrix and a rolling forward input method during data input, enhancing the

coarse-grained extraction of traffic data and further refining the utilization of adjacent data. Our

research focuses on the complex dynamic traffic conditions of Fuli East Road in Xigu District,

Lanzhou City of China. Using detailed traffic video data collected during one month of evening rush

hours, we predict future traffic using the H-CNN-LSTM model. By comparing it with other prediction

methods, we validate the effectiveness of our approach in predicting traffic flow and speed in

real-world traffic scenarios

Predicting Traffic Congestion in the Construction of Smart Cities in the Northwest Industrial Center: A Case Study in Lanzhou of China

Li Ma — 2024-09-23

Intelligent transportation is a crucial component in the construction of smart cities. This

paper conducts a case study on the traffic conditions at the intersection of Fuli East Road in Xigu

District, Lanzhou, an industrial hub in northwest China, during the evening peak hours from 17:30 to

19:00 in June 2022, and discusses the traffic situation in the city. The paper describes the

geographical location of the intersection, presents the data sources, and ensures the robustness of

the data. Based on 30 days of evening rush hour traffic data, conclusions are drawn about the

actual traffic conditions in the area. Using the Random Forest prediction method, the traffic speed

and volume for future time periods are forecasted, and the level of traffic congestion during the

evening rush hour in the area is assessed. The paper also proposes solutions to alleviate traffic

congestion in the construction of smart cities. This paper provides a theoretical foundation for

strategy formulation for urban planning and smart transportation development in the region

Comprehensive Enhancement and Renovation Strategies for Old Hospitals in Urban Central Areas: A Case Study of Huiai Hospital in Guangzhou

Ming Li — 2024-09-23

The renovation project of Huiai Hospital in Guangzhou serves as a typical example of

comprehensive updating, overall planning, and phased construction for old urban hospitals. It

addresses representative and complex issues encountered in the renovation of outdated hospitals.

By analyzing cases of renovation in urban center old hospitals, this study identifies the constraints

faced in hospital renovation, summarizes the complex issues in the construction of old hospitals,

and proposes targeted renovation strategies. These strategies include vertical and horizontal

development, establishing transportation interfaces, reorganizing planning structures, integrating

regional characteristics, and coexisting of old and new elements. These insights provide a

reference for future related hospital construction projects

Research on the Construction of Scenarios for Blockchain to Empower Government Governance

Ailing Xiong — 2024-09-23

This paper delves into the potential and practical challenges of blockchain in government

governance. As a cutting-edge development in information and communication technology,

blockchain offers unique capabilities in data management and value transfer, presenting new

solutions for government governance. The article begins with an overview of the definition,

connotation, and current application status of blockchain technology, and then constructs typical

scenarios where blockchain technology empowers government governance, including electronic

credentials, government data circulation, data resource sharing, collaborative office work, and

digital rural revitalization. By realizing these scenarios, the paper analyzes the main problems and

challenges faced by blockchain technology in government governance, such as inadequate

infrastructure, data leakage risks, and difficulties in inter-departmental collaboration. Finally, a

series of suggestions and prospects are put forward to promote the effective application of

blockchain technology in digital government affairs, enhancing the transparency, efficiency, and

intelligent level of government governance

Charity Publicity Strategy, Corporate Warmth and Consumer Response

Xianying Xu — 2024-10-15

In recent years, corporate philanthropy activities have made important contributions to

helping the socially disadvantaged, narrowing the gap between the rich and the poor, strengthening

emergency rescue and disaster relief, and promoting people's livelihood. On the one hand,

enterprises have the appeal of economic interests, on the other hand, they also have the obligation

to assume social responsibility, through charity activities can not only assume social responsibility,

but also increase consumers' positive brand attitude and purchase intention, and improve the

business conditions of enterprises. However, in real life, many companies do not pay attention to

publicity work, resulting in charity activities that do not achieve the expected results of the enterprise,

and even create the impression that consumers are "hypocritical". Although the company has paid

the cost to undertake corporate social responsibility, it has not received the expected consumer

response. Developing an effective publicity strategy for philanthropy can improve the situation and

make corporate philanthropy work the most effective. So, what are the publicity factors that should

be included in a corporate philanthropy publicity strategy? How do the various publicityl factors

affect consumer response? The mechanism of its influence deserves in-depth study. First, three

dimensions of corporate philanthropic publicity strategies are explored, publicity time, publicity

media, and publicity initiative. From the consumer response perspective, the effects of corporate

warmth on consumers' corporate attitudes and purchase intentions are also considered. Second,

the impact of charity publicity strategy on consumer response under the regulation of corporate

warmth is constructed. Applying two-factor ANOVA, it is found that the effects of publicity time and

publicity initiative on consumer response are moderated by corporate warmth, while the effects of

publicity media on consumer response are partially moderated. Finally, an orthogonal test is applied

to find out the optimal combination of the three charitable publicity methods on consumer response.

Aiming to help enterprises understand the mechanism of charitable publicity strategy on consumer

response, and realize the purpose of effectively guiding consumer response and promoting

consumers' recognition and support of corporate charitable activities