The Application of Quantum Thinking in Economics
Abstract
The rise of digital civilization has changed the basic logic of modern social and economic operation, which means that we should treat and regulate the economic system in a new way, because the old logic is no longer applicable.The main bodies are entangled deeply and the transition is not continuous and the overall emergence appears in many cases. Traditional economics is rooted in Newton’s mechanistic worldview. It uses deterministic causality and linear evolution as core tools. We introduce quantum thinking as a new epistemology and methodology. It is worth noting that we discriminate the essential distinction between classical mechanistic thinking and quantum systematic thinking from six dimensions, which are core hypothesis, system cognition, subject relationship, observation logic, evolution paradigm and governance path. We analyze the practical value from two aspects, namely industrial organization reconstruction as well as macro governance optimization, because we want to show how quantum thinking can be used in real economic situations and provide guidance for policy makers and researchers in China and other countries. The research shows that quantum thinking can break through the linear shackles of traditional economics. It can promote economic research from deterministic paradigm to uncertain paradigm. Also, it changes from individual reductionism to overall system theory. The view is changed from equilibrium and steady-state theory to dynamic evolution theory. In fact, this provides theoretical support for constructing independent economic knowledge system suitable for digital civilization and Chinese local practice, which is expected to help build a new economics paradigm that can explain the complex phenomena we observe today.
Full Text:
PDFDOI: https://doi.org/10.22158/rem.v10n2p216
Refbacks
- There are currently no refbacks.
Copyright (c) 2025 Huilin Zhao

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright © SCHOLINK INC. ISSN 2470-4407 (Print) ISSN 2470-4393 (Online)