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Exploring the interaction relationship between Beautiful China-SciTech innovation using coupling coordination and predictive analysis: a case study of Zhejiang

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Abstract

Exploring interaction of Beautiful China and SciTech Innovation is an important way to realize economic transformation and sustainable development in China. Existed researches have analyzed the development of ecology or development of SciTech Innovation in China while few have studied the correlation between Beautiful China and SciTech innovation. This study takes Zhejiang province as a case and analyzed the integration level of Beautiful Zhejiang and SciTech Innovation with an aim to shed light on policy making. Evaluating index systems of Beautiful Zhejiang and SciTech Innovation with 8 subsystems and 36 indicators are established. The weights of indexes are calculated with more precise accuracy by combing Structure Entropy Method and Mean Squared Deviation Method. Related statistics of 11 cities of Zhejiang province are collected for time period of 2007–2017, and comprehensive development indexes are evaluated. Coupling coordination degree between the two systems is computed, and coupling coordination degree of 2018–2021 is predicted based on Back Propagation Neural Network. The results show as follows. (1) The development of both systems of Beautiful Zhejiang and SciTech Innovation are in a steady upward trend with SciTech Innovation lagging behind Beautiful Zhejiang. The system of Beautiful Zhejiang ranks as Hangzhou > Ningbo > Wenzhou > Shaoxing > Jinhua > Taizhou > Jiaxing > Huzhou > Zhoushan > Lishui > Quzhou. The system of SciTech Innovation ranks as Hangzhou > Ningbo > Jiaxing > Shaoxing > Wenzhou > Taizhou > Jinhua > Huzhou > Zhoushan > Lishui > Quzhou. (2) The integration level of Hangzhou and Ningbo are developing from Barely Balanced stage to Superior Balanced stage in 2007–2017; Wenzhou, Jiaxing, Huzhou, Shaoxing, Jinhua, Quzhou, Zhou Shan, and Taizhou are developing from Slightly Unbalanced stage to Barely Balanced stage; Lishui has the lowest integration level developing from extremely unbalanced stage to barely balanced stage. (3) The integration level based on coupling coordination degree is predicted with the method of Back Propagation Neural Network, and it is found that by 2021 Hangzhou, Ningbo, Wenzhou, Shaoxing and Taizhou will enter the Superior Balanced stage successively while Jiaxing, Huzhou, Jinhua, Quzhou, Zhoushan, and Lishui will remain in the Barely Balanced stage.

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Data availability

The datasets used and/or analyzed under the current study are available from the corresponding author on reasonable request.

Abbreviations

ANN:

Artificial neural network

BCD:

Beautiful cultural development

BEE:

Beautiful ecologic environment

BED:

Beautiful economy development

BPNN:

Back propagation neural network

BSH:

Beautiful social harmony

CCDM:

Coupling coordinative degree model

CDI:

Comprehensive development index

FAHP:

Fuzzy analytic hierarchy process

MSD:

Mean squared deviation

SDG:

Sustainable development goals

SEM:

Structure entropy method

SIE:

SciTech innovation efficiency

SIF:

SciTech innovation foundation

SIO:

SciTech innovation output

SII:

SciTech innovation input

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Funding

This work was supported by Ningbo Polytechnic Research Fund in 2021 (Grant Number: NZ21C004); Ministry of Education in China, Project of Humanities and Social Sciences (Grant Number: 18YJA880013), and the Major Humanities and Social Science Projects of Colleges in Zhe jiang Province in 2019–2020 (Grant Number: 2021GH047).

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Authors and Affiliations

  1. Research Center of Industrial Economy Around Hangzhou Bay, Ningbo Polytechnic, Ningbo, 315800, Zhejiang, China

    Yi-di Hua, Ke-man Hu, Lu-yi Qiu, Hong-an Dong & Lei Ding

  2. Institute of Asia and Pacific Studies, University of Nottingham, Ningbo, 315400, Zhejiang, China

    Yi-di Hua

  3. Faculty of Information Technology, Macau University of Science and Technology, Macau, 999078, China

    Sio-Long Lo

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  1. Yi-di Hua
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Correspondence to Lei Ding.

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Hua, Yd., Hu, Km., Qiu, Ly. et al. Exploring the interaction relationship between Beautiful China-SciTech innovation using coupling coordination and predictive analysis: a case study of Zhejiang. Environ Dev Sustain 24, 12097–12130 (2022). https://doi.org/10.1007/s10668-021-01936-6

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