All of the articles in this proceedings volume have been presented at the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026) during January 9-11, 2026 in Guangzhou, China. These articles have been peer reviewed by the members of the Scientific Committees and reviewers...

Based on the background of China’s “Carbon peaking and Carbon neutrality” strategy, this study selects the panel data of 30 provincial-level administrative regions from 2013 to 2022, constructs a multi-period difference-in-differences model (DID), and systematically examines the environmental synergistic...

Carbon tariff mechanism has been one of the major focuses of great power competition concerning climate change with increasingly growing impact on the positions and roles of many countries in global trade and industry and value chains as well as the globalization of various industries. The present article...

This study presents a systematic review of the literature on budgetary slack in the context of the big data era. Building upon the PRISMA methodology, 87 peer-reviewed articles published between 2000 and 2024 were analyzed. The review highlights three emerging theoretical streams—agency theory, behavioral...

This paper examines the environmental consequences of the sharing economy in the context of China’s urban carbon reduction goals. Leveraging monthly panel data from 296 Chinese cities between 2015 and 2017, this paper employ a high-dimensional fixed effects (HDFE) model and treat the staggered Treat*Post...

Leveraging China’s carbon emissions trading scheme (ETS) as a quasi-natural experiment, this study employs a difference-in-differences (DID) design with data from A-share listed firms (2009–2020). Contrary to existing evidence from developed markets, we find that ETS reduces corporate cash holdings,...

The essence of “dual carbon” goals is enforcing carbon emission limits. Clean energy supply and energy electrification are irreversible trends. This study evaluates levels in four Central China provinces from 2014 to 2021 through an electrification and carbon emission index system. By employing the entropy...

Soil organic carbon (SOC) is critical for soil structure improvement, climate change mitigation, and ecological balance maintenance. This study leverages advanced computational tools to map the landscape of SOC research in China over the past three decades (1995–2024). Utilizing CiteSpace 6.3.R1 software,...

This study investigates the impact of China’s Environmental Protection Tax (EPT), implemented in 2018 as a quasi-natural experiment replacing the pollution discharge fee, on high-quality enterprise development. Utilizing a difference-in-differences (DID) model with panel data from listed companies on...

This study utilizes panel data from 30 provinces and municipalities in China from 2014 to 2023 to construct an indicator system for digital economy and regional economic resilience. Entropy weighting is employed to measure the development levels of both, and an intermediary model, threshold effect model,...

This study focuses on the research of low-carbon tourism in eight ethnic minority settlements covered by Hainan Tropical Rainforest National Park. The development of a low-carbon tourism economy in Hainan’s ethnic areas has advantages and disadvantages, as well as opportunities and challenges. Through...

With increasing emphasis on sustainability and low-carbon development, consumer values have shifted toward ecological responsibility. Books serve not only as knowledge carriers but also as effective media for promoting sustainable awareness. The book cover, as an interface between readers and environmental...

This article focuses on the transformation path of financial informatization in power enterprises driven by big data. In response to the problems of inefficient data processing, single analysis, and lagging risk response in traditional financial models under the intensification of digitalization in the...

This study employs behavioral economics theory and statistical analysis methods, using big data from HKTVMall, a well-known Hong Kong shopping platform, to analyze targeted consumer boycott patterns following geopolitical events, with a particular focus on food products. The study focuses on consumer...

Against the backdrop of global energy transition, the large-scale development of new energy (e.g., wind and solar power) has reshaped the financial management landscape of power enterprises. New energy projects are characterized by high upfront investment, long payback periods (15–20 years), and high...

Homogeneous work safety management is a core strategy for power enterprises to address the challenges of increasing organizational integration and management complexity. However, its implementation often becomes trapped in the “disconnection between institutions and execution.” This study proposes a...

Since the development of domestic aerospace equipment products, the previous design philosophies have often emphasized advanced functionality, performance, and reliability. In recent years, as cost requirements for equipment have become increasingly important, cost-effectiveness has emerged as one of...

This paper explores pathways for reshaping the capabilities and constructing institutional frameworks for maritime law enforcement in the era of artificial intelligence. It focuses on the practical challenges currently faced in maritime law enforcement development—including oversight, data integration,...

In an era characterized by rising supply chain uncertainty and increasingly frequent external shocks, strengthening supply chain resilience has become fundamental to ensuring firms’ operational stability and sustaining long-term competitiveness. Using panel data on Chinese A-share listed firms from 2009...

With the rapid development of big data technology and its support for operational monitoring in the logistics industry, this paper utilizes trajectory data from refrigerated vehicles to analyze the operational characteristics of China’s road cold chain transport from three perspectives: scale, spatial...

With the rapid advancement of big data, AI, and IoT, smart agriculture is reshaping contract farming supply chains. Considering technology efficiency uncertainty and sales model heterogeneity, this study builds a two-player Stackelberg game model for the “enterprise + agricultural cooperative” supply...

We research the effect of digital inclusive finance on urban and rural resident’s consumption gap as well as the indirect effects of digital inclusive finance on urbanization rate on consumption gap of urban and rural residents. The results are achieved by implementing a two-way fixed effect regression...

This study explores how data elements influence the urban-rural industrial division of labor by reshaping the digitalization process of enterprise supply chains. Based on the analysis of typical cases such as intelligent manufacturing and agricultural e-commerce, this paper proposes a theoretical framework...

AI real-time rendering technology is reshaping the viewing ecosystem of sports live streaming and has become a core innovation to attract Generation Z users. The research finds that technical immersion, interactive participation and content personalization are the core driving factors, while usage threshold...

Digital trade has emerged as a key driver of global economic growth and the transformation of international trade structures. Drawing on data from 67 countries (2014–2022), this study develops a multidimensional evaluation system covering digital innovation, skills, trade scale, infrastructure, trust...

In recent years, with the development of network freight transportation platforms, the platforms have gradually shifted from a subsidized model to a high commission model, resulting in a general “order jumping” (direct transactions off the platform) by shippers and drivers in search of higher returns....

This paper investigates the impact of digital inclusive finance on the consumption of Tibet residents by selecting panel data from seven prefecture-level cities under Tibet from 2012 to 2022. Research findings that: (1) Digital inclusive finance has a significant positive impact on the consumption of...

In the digital economy, intelligent manufacturing has become a pivotal route for manufacturing firms to achieve high-quality development. A persistent challenge is how to channel financial resources toward the long-horizon, high-uncertainty investments required by intelligent manufacturing. From the...

This paper investigates how the construction of data element markets—represented by the establishment of local data trading platforms and supporting institutional rules—shapes green innovation in high-carbon industries. Using a firm-level panel of China’s listed firms in high-carbon sectors from 2011...

This study analyzes the impact of the China-Laos Railway on regional digital innovation using panel data from 29 Chinese provinces from January 2018 to December 2023. The multi-period DID, propensity score matching, and event study analysis demonstrate the railway’s significant positive effect on digital...

Facing content homogenization and rising consumer ad tolerance in short-video e-commerce, Generative AI (AIGC) is shifting from a tool to a narrative paradigm reconstructor. This study explores how AIGC-driven intelligent narration affects consumer trust. Grounded in Human–AI Collaboration Theory and...