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China’s Smart City Development and the Enhancement of Enterprise New Quality Productive Forces
This paper constructs a quasi-natural experiment based on China’s batch-by-batch smart city pilot policy implemented between 2012 and 2015. Using a sample of 907 listed companies classified as “specialized, sophisticated, distinctive, and Novel” enterprises in China’s Yangtze River Delta region from 2011 to 2023, we employ a multi-period difference-in-differences model to empirically examine the driving effect of smart city development on the new quality productive forces of these firms. The findings reveal that the implementation of the smart city pilot policy has a significant positive impact on enhancing the level of new quality productive forces among the specialized, sophisticated, distinctive, and Novel(SSDN) enterprises in the Yangtze River Delta region. This conclusion remains robust after undergoing a series of tests, including parallel trend tests.This study not only enriches the research on the microeconomic effects of smart city policies but also provides empirical evidence and practical pathways for local governments to leverage smart city development for the targeted cultivation of new quality productive forces in enterprises.
Copyright (c) 2026 Chenglong Pan, Jiahuan Ma http://creativecommons.org/licenses/by/4.0
Research on the Influence of Firm Economic Policy Uncertainty Perception on the Level of Firm Risk Taking
Risk-taking level is a key factor determining corporate performance and growth rate. Moderate risk-taking contributes to the maximization of corporate value and high-quality economic development. However, corporate risk decisions are highly reliant on the anticipation of the macroeconomic environment. Current research often assumes that firms have a consistent perception of external uncertainties and employs national-level indicators to measure economic policy uncertainty. This paper innovatively approaches from the perspective of firm-level perception of economic policy uncertainty, taking into account perception heterogeneity, and delves into its impact on corporate risk-taking levels. It aims to enrich theoretical and empirical research in the field that combines macro and micro perspectives, providing decision-making references for government and corporate departments. Subsequently, hypotheses are proposed, and using China's Shanghai and Shenzhen A-share listed companies as the research subjects, this paper empirically examines the impact of the perception of economic policy uncertainty on corporate risk-taking levels and explores the mediating role of corporate investment. Based on the above conclusions, this paper puts forward policy recommendations from the perspectives of government policy formulation and implementation, the disclosure of firms' perception of economic policy uncertainty, investment decisions, and internal governance. This study enriches research in the field that integrates macro and micro perspectives, offering insights for the country to formulate long-term and stable economic policies and providing valuable references for firms to understand uncertainty and maintain appropriate risk-taking levels.
Copyright (c) 2026 Jiawen Xu, Xiongfeng Lin http://creativecommons.org/licenses/by/4.0
Research on the Correlativity of Daily Schedule Sequences and Academic Achievement among Senior High School Students Based on Dimensional Statistical Analysis
Based on the survey data of 54,102 eighth-grade students in Shanghai, this study adopts statistical methods such as multiple regression analysis, threshold model and Shapley value decomposition to explore the correlation between senior high school students’ daily schedule sequences (including sleep duration, study time, homework burden, electronic device use and extracurricular activities) and academic achievement. The study finds that both sleep duration and study time have a significant inverted U-shaped relationship with academic achievement, with the optimal interval of sleep duration being 7-9 hours and that of study time being 2-4 hours. Homework burden is negatively correlated with academic achievement, especially for rural students, excessive homework burden will significantly inhibit their academic performance. There is an obvious “substitution effect” in the use of electronic devices: excessive recreational use crowds out study time, while moderate educational use has a positive impact on academic achievement. The results of Shapley value decomposition show that sleep duration contributes the most to the explanation of academic achievement, followed by study time, and homework burden has the most significant negative impact. The findings provide an empirical basis for optimizing senior high school students’ schedules and improving their academic achievement.
Copyright (c) 2026 Zhenhao Gu http://creativecommons.org/licenses/by/4.0
Evaluation and Analysis of Development Strategies for Pet Industry and Related Industries Based on Fuzzy Comprehensive Evaluation and Gray Prediction Modeling
With the deepening of economic development, the pet economy presents a multi-dimensional growth trend, however, the pet industry also exists in development dilemma. Therefore, this paper studies its current situation and factors affecting the development of the pet industry, predict the development trend, formulate effective development strategies to promote the sustainable development of the pet industry, and is committed to the deepening of the process of economic globalization. For Problem 1, firstly, data on the current development status of China’s pet industry industry from 2019-2023 are collected and visualized to analyze its previous development. Secondly, the weights of the indicators of the development factors of China’s pet industry are measured using the expected value method, and the fuzzy comprehensive evaluation method is used to establish a comprehensive evaluation index system for it, and the fuzzy comprehensive evaluation scores are obtained for each year from 2019 to 2023. Finally, using the gray prediction model to predict the development trend of China’s pet industry in the next three years, it is found that the overall development of China’s pet industry will show a steady upward trend, but the penetration rate of pet households is decreasing year by year. For Problem 2, the effective data of global pet food demand from 2018-2023 are collected to explore the development of global pet industry through data visualization. Secondly, the entropy weight-TOPSIS method is utilized to obtain the relative proximity C value of global pet food demand for each year from 2018-2023. Constructing the gray prediction model and multiple linear regression model to predict the overall development of global pet food demand indicators-relative proximity C value and specific development data, we get that the overall pet food demand is on the rise, and the predicted results of the global pet food demand in 2024-2026 are US$ 152.32 billion, US$ 18.534 billion, and US$ 22.001 billion, respectively. For Problem 3, firstly, a ridge regression model is used to calculate China’s pet food production and export volume from 2019-2023. Secondly, using the gray forecasting model, without considering the economic policy, based on the global pet food market demand trend and China’s development, China’s pet food production is forecasted to be 290,161 million pieces, 598,962 million pieces and 12,364,402 million pieces, and demand is forecasted to be 1,509 million pieces, 1,877 million pieces and 2,335 million pieces, respectively, for the period of 2024-2026. For Problem 4, firstly, the fuzzy comprehensive evaluation method is utilized to solve the impact of the foreign economic policies of Europe and the United States on the pet food industry, and the impact scores of the foreign trade, foreign investment, monetary policy and tariff policy of Europe and the United States on China’s pet food industry are obtained to be 46.45, 51.22, 16.67 and 37.78 respectively, and to formulate the strategy of sustainable development of China’s pet food industry.
Copyright (c) 2026 Xinyi Zhang http://creativecommons.org/licenses/by/4.0
Optimal Design of a Small Multi-Purpose Fixed-Wing Flying Platform Based on Arduino Open-Source Hardware
To address the limitations of traditional small fixed-wing unmanned aerial vehicles (UAVs), such as their fixed configuration, high structural integration, and difficulty in rapid reconfiguration based on mission requirements, this paper designs and implements a small intelligent multi-purpose fixed-wing flying platform based on Arduino open-source hardware. Centered on a high degree of structural modularity, the platform utilizes 3D printing rapid manufacturing technology and standardized mechanical and electrical interfaces to divide the airframe into multiple functional modules, enabling free combination and rapid assembly of different configurations. In terms of structural design, key load-bearing components and module interfaces were optimized to reduce overall weight while ensuring structural strength and stiffness, supporting flexible configurations such as V-tail, T-tail, and various wingspans and payload types. Regarding system implementation, an Arduino Nano serves as the core control unit, integrated with inertial measurement, barometric altitude, data storage, and LoRa wireless communication modules, constructing an open, low-cost flight control and data acquisition system. Through aerodynamic simulation analysis, 3D printing manufacturing, and ground testing validation, the results demonstrate that the platform possesses good structural stability, assembly efficiency, and configuration scalability, providing a reference for teaching experiments and multi-purpose validation.
Copyright (c) 2026 Junrui Zhu, Zengxin Zhu http://creativecommons.org/licenses/by/4.0