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Multi-Industry Symbiosis and Sustainable Regional Development Across Chinese Provinces

Using panel data from 31 Chinese provinces (2011–2022), this study applies symbiosis theory to analyze the six-industry system of agriculture, commerce, culture, sports, tourism, and health, revealing that while these sectors have not yet achieved balanced positive symbiosis, their interactions are characterized by significant regional disparities and were profoundly disrupted by the COVID-19 pandemic, which shifted influence from tourism to health.

Original authors: Xiangmei Zhu, Xue Zhang, Xin Li

Published 2026-09-01
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Original authors: Xiangmei Zhu, Xue Zhang, Xin Li

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Technical Summary: Multi-Industry Symbiosis and Sustainable Regional Development Across Chinese Provinces

Problem Statement
Against the backdrop of economic globalization and industrial convergence, traditional models of "industrial integration" often fail to address the autonomy of individual sectors or the complexities of their mutual dependencies. While policy directives in China (e.g., from the General Administration of Sport and the State Council) advocate for the deep integration of agriculture, commerce, culture, sports, tourism, and health, existing research predominantly focuses on "integration" as a linear process of boundary-breaking. This approach overlooks the potential for unbalanced, parasitic, or asymmetric relationships where one sector may exploit another without reciprocal benefit. The paper identifies a gap in empirical analysis regarding the specific symbiotic nature of these six industries, questioning whether they have achieved a balanced, mutually reinforcing ecosystem or if they remain in states of parasitism and asymmetry.

Methodology
The study employs a quantitative ecological approach based on Symbiosis Theory, which posits that relationships consist of symbiotic units, patterns, and environments.

  • Data Source: A panel dataset covering 31 provinces in China from 2011 to 2022.
  • Indicator System: A comprehensive system comprising 32 indicators across the six sectors (Agriculture, Commerce, Culture, Sports, Tourism, Health). Indicators were weighted using the entropy weight method to calculate composite scores representing the development quality of each industry.
  • Analytical Models:
    • Symbiosis Degree Model (α\alpha): Calculates the influence rate of one industry's qualitative parameters on another (e.g., αAB\alpha_{AB} represents the influence of Agriculture on Commerce).
    • Symbiosis Coefficient Model (θ\theta): Derived from the symbiosis degrees, this coefficient (θAB+θBA=1\theta_{AB} + \theta_{BA} = 1) quantifies the balance of power. A value of 0.5 indicates a balanced, symmetrical relationship; deviations indicate asymmetry (one sector dominating), while negative values suggest parasitic or antagonistic relationships.
  • Spatial Analysis: ArcGIS software was utilized to map the spatial distribution of symbiosis coefficients, classifying them into low, moderate, balanced, and high categories.

Key Results
The analysis reveals that a balanced state of positive, symmetrical symbiosis among the six industries has not yet been achieved across Chinese provinces.

  1. Asymmetry and Parasitism:

    • Advantaged Sectors: Agriculture, Commerce, and Health generally hold advantageous positions, often benefiting more from interactions or exerting stronger influence on others.
    • Disadvantaged Sectors: Culture, Sports, and Tourism frequently occupy weaker positions, often suffering from "parasitic" relationships where they are exploited by other sectors (e.g., Sports and Health industries parasitizing Tourism; Agriculture parasitizing Culture and Sports).
    • Specific Dynamics:
      • Commerce exhibits strong spillover effects on other sectors (average coefficient ~0.67), acting as a dominant driver.
      • Agriculture and Health show weaker driving capacities (coefficients 0.32–0.44), often relying on value spillovers from other sectors.
      • Culture-Tourism displays the closest ties, often showing positive asymmetric symbiosis driven by policy support and resource convertibility.
      • Sports is identified as the most vulnerable, frequently engaging in parasitic relationships with Culture and Tourism while being exploited by Agriculture, Commerce, and Health.
  2. Temporal Evolution and External Shocks:

    • Pre-2018: Symbiosis coefficients fluctuated significantly but showed a trend toward converging on an equilibrium level of 0.5, suggesting maturing interactions.
    • 2020 Pandemic Impact: The COVID-19 pandemic disrupted this equilibrium. The influence of Tourism on other sectors plummeted, while the influence of Health surged. In 2020, the symbiosis coefficients for agriculture-health, commerce-health, culture-health, and sports-health were 0.38, 0.24, 0.32, and 0.29, respectively. These low values indicate that the health industry exerted a significantly greater influence on other sectors (dominance), causing the symbiosis coefficients across all industries to revert to a state of intense volatility and imbalance.
  3. Spatial Heterogeneity:

    • There is substantial internal divergence across regions. For instance, Commerce's influence on Tourism is high in Hebei (0.926) but low in Anhui (0.248).
    • No clear spatial clustering or gradient distribution patterns have emerged; coefficients vary wildly based on local industrial structures, policies, and resource endowments.

Key Contributions

  • Theoretical Shift: The paper moves beyond the traditional "industrial integration" framework to apply ecological symbiosis theory to a six-sector system. It distinguishes between "integration" (blending) and "symbiosis" (interaction types), identifying that integration does not guarantee mutual benefit.
  • Empirical Quantification: It provides the first quantitative evaluation of the symbiotic relationships among these six specific industries at the provincial level in China, utilizing a novel indicator system and symbiosis coefficient models.
  • Diagnostic Insight: The study diagnoses specific "parasitic" and "asymmetric" relationships that policy-makers may overlook, highlighting that current development models often result in one sector (e.g., Commerce or Health) capturing disproportionate value at the expense of others (e.g., Sports or Culture).

Significance and Claims
The authors claim that their work provides a scientific analytical framework to overcome the dilemma of unidirectional resource flows. By revealing the complex, often unbalanced interplay between these sectors, the study offers a basis for constructing an "industrial community of shared destiny." The significance lies in its ability to:

  1. Accurately grasp the relational features among the six industries.
  2. Identify barriers to balanced development (specifically the parasitic nature of current interactions).
  3. Provide a theoretical foundation for fostering synergistic evolution in China's modern industrial system, ensuring that development is not just integrated but mutually beneficial.

The paper concludes that while the six industries are interconnected, they have not yet reached a sustainable, symmetrical symbiosis. Future development requires addressing the specific parasitic dynamics and regional disparities to achieve true high-quality, sustainable regional development.

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