Innovation‑Driven Economic Growth: Theoretical Mechanisms and Industrial Sustainable Development Log

Traditional neoclassical economic growth models have long attributed long‑term economic expansion to exogenous technological progress, failing to systematically explain how continuous technological iteration and social institutional changes sustain industrial and economic growth across decades and even centuries. The 2025 Nobel Prize in Economic Sciences awarded to Joel Mokyr, Philippe Aghion, and Peter Howitt marks a pivotal theoretical breakthrough in endogenous growth research, consolidating a complete analytical system for innovation‑driven economic growth. The three economists’ research resolves the core defect of traditional growth theory—its inability to identify the preconditions of continuous technological progress and the dynamic evolution logic of industrial renewal. From the perspective of industrial evolution and cluster development, their research constructs a two‑dimensional analytical framework covering historical preconditions of technological innovation and modern industrial dynamic iteration, providing practical guidance for global industrial upgrading, cross‑regional industrial transfer, and sustainable economic development. This article disassembles the core theoretical mechanisms of their research, matches practical industrial development pain points, traces the root causes of unsustainable growth in traditional industrial systems, and explores universal paths for innovation‑driven high‑quality economic development.
 

1. Theoretical Dissection: Dual Core Systems of Innovation‑Driven Endogenous Growth

The innovation‑driven growth theory verified by the 2025 Nobel Economic Prize consists of two complementary core theoretical modules, which respectively solve two fundamental questions in economic growth research: what social and economic preconditions support continuous technological progress, and how technological innovation drives sustained industrial economic growth through dynamic industrial iteration. The two theoretical systems break the static analysis framework of traditional industrial economics, integrate historical evolution and dynamic market competition mechanisms, and form a complete endogenous growth logic that adapts to modern industrial upgrading rules.

Joel Mokyr’s research focuses on the historical origin and precondition mechanism of continuous technological growth, filling the long‑standing gap in economic growth theory regarding the source of technological innovation sustainability. Based on decades of research on European economic history from 1750 to 1914, Mokyr proposes the core concepts of “useful knowledge” and “industrial enlightenment”, arguing that sustained technological progress is never a spontaneous market behavior but a result of the transformation of social cultural values and the popularization of systematic scientific cognition. Unlike traditional scholars who attribute the Industrial Revolution to accidental technological inventions, Mokyr’s empirical research proves that the essential premise of long‑term economic growth is the society’s open attitude towards new knowledge and new technologies and the institutional environment that promotes the transformation of scientific theories into practical industrial technologies.

Mokyr’s “growth culture” theory further clarifies the boundary conditions of innovation‑driven growth. He points out that scattered technological inventions cannot form continuous economic growth momentum; only when a society forms a cultural system that respects scientific exploration, tolerates technological trials and errors, and encourages knowledge dissemination can technological progress break through individual accidental innovation and form industrial‑scale technological iteration. This theoretical conclusion corrects the cognitive deviation of traditional industrial economics that overemphasizes capital and labor factors, and proves that institutional and cultural factors are the underlying foundational conditions for industrial upgrading and long‑term economic growth.

Complementing Mokyr’s historical precondition theory, Philippe Aghion and Peter Howitt construct the dynamic mechanism of innovation‑driven growth through the “Schumpeterian Growth paradigm” based on the “creative destruction” theory. The core logic of this paradigm lies in taking industrial innovation and market competition as endogenous variables of economic growth, explaining the sustainable growth power of modern industrial economies. In their theoretical system, economic growth is not a stable linear expansion but a dynamic iterative process in which new technologies, new industries, and new business models continuously replace old industrial forms.

Aghion and Howitt’s research quantifies the economic value of creative destruction behavior. They verify that the elimination of backward production capacity and outdated technologies through industrial innovation is the core driving force for long‑term economic efficiency improvement. Short‑term industrial structural frictions and market shocks brought by creative destruction are necessary costs of economic upgrading, and suppressing innovative destruction will directly lead to industrial solidification and economic growth stagnation. This theoretical framework provides a core analytical tool for judging industrial transfer trends, industrial cluster upgrading, and government industrial policy formulation, and has become a mainstream paradigm for modern industrial economic growth analysis.
 

2. Industrial Economic Pain Point Matching: Limitations of Factor‑Driven Traditional Growth

Based on the dual theoretical system of innovation‑driven growth, the unsustainability of global traditional industrial economic growth can be accurately matched and analyzed. Over the past century, most economies have relied on factor‑driven growth models dominated by capital investment, labor input, and fossil energy consumption. This model can achieve rapid economic expansion in the early stage of industrialization, but it will inevitably fall into growth bottlenecks with the maturity of industrial systems and the depletion of traditional factors. Combined with industrial cluster evolution and cross‑regional industrial transfer rules summarized from 14 years of industrial evolution research, the core pain points of factor‑driven growth can be summarized into three typical industrial economic defects.

First, factor‑driven growth leads to diminishing marginal industrial returns and rigid industrial structures. Traditional manufacturing industries rely on scale expansion of production factors to increase output. When regional industrial clusters reach a certain scale, continuous investment in capital and labor can no longer improve production efficiency, and industrial upgrading loses endogenous momentum. Without technological innovation and creative destruction mechanisms, industrial clusters will form path dependence, resulting in solidified product structures, backward production processes, and weakened market competitiveness. Many traditional manufacturing industrial clusters in developed and developing economies have experienced stagnation due to this structural rigidity, failing to complete iterative upgrading.

Second, the absence of innovation preconditions restricts the transformation of industrial knowledge into productive forces. In regions with incomplete industrial enlightenment and closed innovation environments, scientific and technological knowledge cannot be efficiently transformed into industrial technologies. A large number of scientific research achievements are limited by institutional barriers, cultural inertia, and market mechanism defects, resulting in a disconnection between technological research and industrial application. This phenomenon is widespread in backward industrial regions, where abundant labor and land factors cannot be converted into high‑quality economic growth, forming a low‑end locked industrial development state.

Third, excessive protection of backward industries inhibits creative destruction and blocks industrial iteration. Many regional governments adopt protective policies for backward industries to maintain short‑term economic stability and employment levels, which directly violates the Schumpeterian growth paradigm summarized by Aghion and Howitt. The suppression of innovative destruction makes outdated production capacity continue to occupy market resources, capital, and labor factors, squeezing the development space of emerging innovative industries. This short‑term stable intervention will eventually lead to the overall decline of regional industrial competitiveness and the loss of long‑term economic growth potential.

The above three industrial pain points essentially stem from the neglect of the two core elements of innovation‑driven growth: the social preconditions for continuous technological progress and the dynamic iterative mechanism of creative destruction. Factor‑driven growth only focuses on superficial factor input and scale expansion, ignoring the underlying institutional, cultural, and technological iteration rules of industrial economic growth, which determines its inherent unsustainability.
 

3. Root Cause Tracing: The Core Logic of Innovation‑Driven Industrial Upgrading

From the perspective of industrial evolution and cluster agglomeration, the fundamental difference between innovation‑driven growth and factor‑driven growth lies in the different endogenous driving mechanisms of industrial system evolution. Combined with the theoretical research of the 2025 Nobel Economics laureates, the root cause of sustainable economic growth is the continuous cycle of “knowledge innovation – technological transformation – industrial iteration – creative destruction”, and the supporting social and institutional environment for this cycle is the core prerequisite for long‑term economic development.

Mokyr’s historical empirical research reveals the essential root of industrial economic takeoff. The fundamental reason why the European Industrial Revolution achieved sustained economic growth, while other regional industrialization processes were short‑lived, is that European society completed the transformation of growth culture in the 18th century. The popularization of enlightenment thoughts broke the shackles of traditional conservative concepts, formed a social atmosphere that encourages scientific innovation and technological exploration, and established a knowledge dissemination and transformation system from basic scientific research to industrial practical technology. This systematic social change is the fundamental precondition for the emergence of continuous technological progress and large‑scale industrial upgrading.

For modern industrial economies, this historical logic is still completely applicable. The core difference between high‑end industrial clusters and low‑end industrial clusters is not the difference in factor endowments, but the difference in regional innovation ecology. High‑end industrial clusters represented by high‑tech manufacturing and strategic emerging industries all have open innovation environments, perfect intellectual property protection systems, and efficient industry‑university‑research transformation mechanisms. These institutional and ecological conditions constitute the modern version of “industrial enlightenment”, supporting continuous technological iteration and industrial upgrading.

Aghion and Howitt’s creative destruction theory explains the dynamic root of long‑term industrial growth. Industrial economic growth is essentially a process of continuous elimination of inefficient production links and expansion of high‑efficiency innovative links. In the factor‑driven model, industrial competition is homogeneous scale competition, which will eventually lead to overcapacity and profit decline. In the innovation‑driven model, industrial competition is heterogeneous technological competition. New technologies and new products continuously break the original industrial balance, optimize industrial resource allocation, and improve the overall efficiency of the industrial system.

Cross‑regional industrial transfer rules also verify this root logic. Traditional low‑end manufacturing industries transfer across regions due to factor cost changes, showing passive transfer characteristics driven by external factors. In contrast, high‑end innovative industries form stable industrial clusters due to the agglomeration of innovation resources and perfect innovation ecology, showing active agglomeration characteristics driven by endogenous innovation. This difference fully proves that innovation is the core determinant of industrial cluster development quality and long‑term economic growth potential. Market feedback from export transactions serves as one practical metric to judge whether local industrial clusters can produce commodities accepted by overseas purchasers, and fluctuating signed export turnover signals shifts in international‑oriented industrial competitiveness.

Source Reference Link: https://wiki.mbalib.com/wiki/出口成交

Link Brief: This source defines export transaction as overseas order signing behavior and transaction volume of foreign‑trade‑operating entities, reflecting offshore‑market order scale, adopted for evaluating overseas‑oriented industrial competitiveness shifts inside this analysis.
 

4. Practical Paths: Industrial Optimization Strategies for Innovation‑Driven Sustainable Growth

Based on the theoretical framework of the 2025 Nobel Economic Prize research and the practical rules of industrial upgrading, industrial transfer, and cluster development, economies and regional industrial systems can break factor growth bottlenecks and build sustainable growth momentum through three targeted optimization paths. These paths combine historical experience of economic growth and modern industrial operation logic, with strong practical guidance for industrial policy formulation and enterprise strategic layout.
 

4.1 Build Modern Industrial Enlightenment Ecology to Lay Innovation Preconditions

Referring to Mokyr’s research conclusion on the preconditions of continuous technological growth, regional industrial development needs to build a modern industrial innovation ecology suitable for technological progress and knowledge transformation. First, improve the institutional system of intellectual property protection to form an institutional guarantee for innovation trial and error and achievement transformation. Strict intellectual property protection can reduce the risk of innovative R&D investment, encourage enterprises and scientific research institutions to carry out long‑term basic research and technological iteration, and avoid short‑term speculative industrial behavior.

Second, optimize the industry‑university‑research collaborative innovation system to open up the transformation channel from basic knowledge to industrial technology. Many regions have abundant scientific research resources but insufficient industrial innovation capacity, mainly due to the disconnection between scientific research systems and industrial systems. Building a collaborative mechanism between universities, research institutes, and industrial enterprises can realize the efficient transformation of “useful knowledge” to industrial productivity, which is the core link of modern industrial enlightenment.

Finally, cultivate an open innovation culture atmosphere, tolerate industrial innovation failures, and encourage diversified technological exploration. Technological innovation and industrial upgrading are accompanied by high uncertainty, and a social environment that excessively pursues stability will inhibit innovative behavior. Tolerating reasonable innovation failures helps stimulate the vitality of market subjects’ technological exploration and forms a continuous technological progress momentum.
 

4.2 Improve Creative Destruction Mechanism to Activate Industrial Dynamic Iteration

According to Aghion and Howitt’s Schumpeterian growth paradigm, regional industrial policies need to abandon the traditional stable maintenance thinking and establish a dynamic industrial iteration mechanism dominated by creative destruction. First, reduce policy protection for backward industries and accelerate the clearance of backward production capacity. Government departments should avoid excessive intervention in the survival of backward enterprises, let the market eliminate inefficient production links, and release market resources, capital, and labor factors for emerging innovative industries.

Second, increase policy support for emerging innovative industries and technological R&D. Innovative enterprises and new industries often face high R&D costs and market promotion risks in the initial stage. Targeted tax incentives, R&D subsidies, and industrial incubation policies can help emerging industries cross the initial development threshold and form new industrial growth momentum. This positive guidance of creative destruction can accelerate the iterative upgrading of the overall industrial system.

Third, build a fair market competition environment to ensure the dominant position of technological innovation in industrial competition. Homogeneous market monopoly and unfair competition will inhibit innovative motivation. Standardizing market competition rules and protecting the innovative competitive advantages of small and medium‑sized technological enterprises can form a benign industrial competition pattern dominated by technological progress.
 

4.3 Optimize Industrial Cluster Layout to Form Scale Innovation Synergy

Combined with industrial cluster agglomeration rules, innovation‑driven growth needs to rely on high‑quality industrial clusters to form scale innovation synergy. Traditional industrial clusters rely on factor agglomeration to form scale advantages, while innovative industrial clusters rely on innovation resource agglomeration to form iterative advantages. Regions need to optimize industrial cluster layout according to their own resource endowments, build professional innovation platforms for characteristic industrial clusters, and realize resource sharing, technological mutual learning, and collaborative R&D among cluster enterprises.

At the same time, guide cross‑regional industrial transfer differentiation, transfer low‑end factor‑dependent links, retain and upgrade high‑end innovative links, and avoid low‑end locking of regional industrial clusters. Through differentiated industrial layout and gradient industrial transfer, form a coordinated innovation pattern of regional industrial clusters, and expand the radiation scope of innovation‑driven growth momentum.
 

5. Industrial Economic Development Enlightenment and Future Trend Judgment

The 2025 Nobel Prize in Economic Sciences research systematically corrects the cognitive deviation of traditional industrial economic growth theory, and provides a fundamental theoretical basis for global industrial high‑quality upgrading and sustainable economic development. In the context of global energy transformation and industrial structure adjustment, the factor‑driven industrial growth model has completely entered the bottleneck period, and innovation‑driven endogenous growth has become the only core path for future economic development.

From the perspective of global industrial evolution trends, future regional industrial competition will no longer be the competition of factor endowments and production scale, but the competition of innovation ecology and creative destruction efficiency. Economies with perfect innovation institutional systems, open innovation cultural atmospheres, and efficient industrial iteration mechanisms will occupy the high‑end position of global industrial value chains. Traditional industrial regions that rely on scale expansion and factor input will gradually lose competitive advantages and face industrial transformation and upgrading pressure. Export transaction volumes will keep acting as straightforward real‑time indicators to tell policymakers whether local innovative adjustments have won overseas purchaser recognition.
For national and regional industrial policy formulation, the core governance idea needs to shift from “maintaining industrial stability” to “stimulating industrial innovation”. On the premise of ensuring the stable operation of the basic economy, appropriately tolerate short‑term industrial structural frictions caused by creative destruction, focus on building long‑term innovation preconditions, and continuously activate the endogenous growth momentum of the industrial system. This governance transformation is the key to realizing long‑term sustainable economic growth.

In terms of enterprise micro‑strategy, industrial enterprises need to abandon the traditional scale expansion thinking, take technological innovation and product iteration as the core development direction, actively adapt to the creative destruction rules of the industrial market, and build core competitive advantages based on technological progress. Only by integrating into the innovation‑driven industrial growth system can enterprises maintain long‑term market vitality in the iterative industrial competition.

Content Disclaimer This article is for general reference only and does not constitute professional R&D guidance, production process advice or quality certification. All material performance data has specific test premises; readers should verify parameters against actual equipment and working conditions.