Exploring the Nexus between Exhaustible Human Resources and Economic Development in China: An Application of the Hotelling Model
This paper applies the Hotelling model to the context of exhaustible human resources in China. We find that over-exploitation of human resources occurs under conditions of restricted population mobility, rigid wage levels, and increased foreign trade demand elasticity. Conversely, the existence of technological replacements for human resources or improvements in the utilization rate of human resources leads to conservation. Our analysis provides practical insights for policy-making towards sustainable development.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Decentralized Micro Water-Energy Co-Optimization for Small Communities
The water-energy nexus encompasses the interdependencies between water and energy resources identifying the existing links between the production and distribution of these resources. Therefore, understanding the water-en…
ManagementCharacterizing Nexus of Similarity within Knowledge Bases: A Logic-based Framework and its Computational Complexity Aspects
Similarities between entities occur frequently in many real-world scenarios. For over a century, researchers in different fields have proposed a range of approaches to measure the similarity between entities. More recent…
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models
The post-training of Vision-Language-Action (VLA) models is essential due to the diversity of simulators, robot embodiments, and task objectives. Existing compute services, whether offered as direct accelerator rental or…
Reinforcement LearningA note on the logical inconsistency of the Hotelling Rule: A Revisit from the System's Analysis Perspective
The "Hotelling rule" (HR) called to be "the fundamental principle of the economics of exhaustible resources" has a logical deficiency which was never paid a sufficient attention to. This deficiency should be taken into a…
Nexus: A Lightweight and Scalable Multi-Agent Framework for Complex Tasks Automation
Recent advancements in Large Language Models (LLMs) have substantially evolved Multi-Agent Systems (MASs) capabilities, enabling systems that not only automate tasks but also leverage near-human reasoning capabilities. T…
Code GenerationHumanEvalLogical ReasoningMath+1