Web applications (web apps) have become a key arena for large language models (LLMs) to demonstrate their code generation capabilities and commercial potential.However, building a benchmark for LLM-generated web apps remains challenging due to the need for realworld user requirements, generalized evaluation metrics without relying on ground-truth implementations or test cases, and interpretable evaluation results.To address these challenges, we introduce WebCoderBench, the first realworld, generalized, and interpretable benchmark for web app generation.WebCoderBench comprises 1,572 real user requirements, covering diverse modalities and expression styles that reflect realistic user intentions.Web-CoderBench provides 24 fine-grained evaluation metrics across 9 perspectives, combining the rule-based and LLM-as-a-judge paradigms for fully automated, objective, and general evaluation.Moreover, WebCoderBench adopts human-preference-aligned weights over metrics to yield interpretable overall scores.Experiments across 12 representative LLMs and 2 LLM-based agents show that there exists no dominant model across all evaluation metrics, offering an opportunity for LLM developers to optimize their models in a targeted manner for a more powerful version.

This paper investigates the interactiveness of digital trade rules and anti-epidemic policies on China's digital product export. Using monthly data across 241 products from 187 countries from January 2018 to December 2021, the authors find that adopting stringent anti-epidemic policies improves the value and quantity of digital trade in the presence of digital trade rules. And that the lack of face-to-face communication due to these policy restrictions is the primary cause of the stimulated digital product exports, with consumer privacy protection and non-discrimination terms playing essential roles, especially for digital consumer products. Independently, digital trade rules have an insignificant impact on China's digital product exports. However, when China's trade partner adopts more stringent anti-epidemic policies, digital trade rules improve the value and quantity of trade while reducing investigative time and sunk costs associated with digital trade.