{"title":"Unravelling complexities: a study on geopolitical dynamics, economic complexity, R&D impact on green innovation in China","authors":"Aihui Sun, Cem Işık, Ummara Razi, Hui Xu, Jiale Yan, Xiao Gu","doi":"10.1007/s00477-024-02804-1","DOIUrl":null,"url":null,"abstract":"<p>Green innovation is essential in achieving sustainable development goals of enhancing resource efficiency, reducing environmental impact, and promoting renewable resource consumption. Identifying the factors that promote green innovation is necessary to capitalise on the benefits of green innovation. The literature has overlooked the economic and geopolitical factors influencing sustainable technological development. Limited studies have analysed the multifaced drivers of green innovations. Therefore, this study fills the gap by exploring the impact of geopolitical risk, economic complexity, and R&D expenditures on green innovation in China from 1995 to 2022. The study employed the “bootstrapping autoregressive distributed lag” (BARDL) method and examined the long-term cointegration. Diagnostic tests confirm that the data series are normally distributed, and unit root tests establish an integration order of I(1). Outcomes of the BARDL approach indicate that increases in economic complexity, R&D expenditures and economic growth significantly enhance the green innovation initiatives. Conversely, rising geopolitical risk deters steady investment in green innovation in the short and long run. The results highlight that while economic complexity and R&D expenditures have greater capabilities and resources to support innovative activities, geopolitical risk acts as a mitigator and diverts focus and resources away from long-term environmental sustainability projects; therefore, effective policy measures focusing on these variables can increase investments in green innovations.</p>","PeriodicalId":21987,"journal":{"name":"Stochastic Environmental Research and Risk Assessment","volume":"36 1","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastic Environmental Research and Risk Assessment","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s00477-024-02804-1","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Green innovation is essential in achieving sustainable development goals of enhancing resource efficiency, reducing environmental impact, and promoting renewable resource consumption. Identifying the factors that promote green innovation is necessary to capitalise on the benefits of green innovation. The literature has overlooked the economic and geopolitical factors influencing sustainable technological development. Limited studies have analysed the multifaced drivers of green innovations. Therefore, this study fills the gap by exploring the impact of geopolitical risk, economic complexity, and R&D expenditures on green innovation in China from 1995 to 2022. The study employed the “bootstrapping autoregressive distributed lag” (BARDL) method and examined the long-term cointegration. Diagnostic tests confirm that the data series are normally distributed, and unit root tests establish an integration order of I(1). Outcomes of the BARDL approach indicate that increases in economic complexity, R&D expenditures and economic growth significantly enhance the green innovation initiatives. Conversely, rising geopolitical risk deters steady investment in green innovation in the short and long run. The results highlight that while economic complexity and R&D expenditures have greater capabilities and resources to support innovative activities, geopolitical risk acts as a mitigator and diverts focus and resources away from long-term environmental sustainability projects; therefore, effective policy measures focusing on these variables can increase investments in green innovations.
期刊介绍：
Stochastic Environmental Research and Risk Assessment (SERRA) will publish research papers, reviews and technical notes on stochastic and probabilistic approaches to environmental sciences and engineering, including interactions of earth and atmospheric environments with people and ecosystems. The basic idea is to bring together research papers on stochastic modelling in various fields of environmental sciences and to provide an interdisciplinary forum for the exchange of ideas, for communicating on issues that cut across disciplinary barriers, and for the dissemination of stochastic techniques used in different fields to the community of interested researchers. Original contributions will be considered dealing with modelling (theoretical and computational), measurements and instrumentation in one or more of the following topical areas:
- Spatiotemporal analysis and mapping of natural processes.
- Enviroinformatics.
- Environmental risk assessment, reliability analysis and decision making.
- Surface and subsurface hydrology and hydraulics.
- Multiphase porous media domains and contaminant transport modelling.
- Hazardous waste site characterization.
- Stochastic turbulence and random hydrodynamic fields.
- Chaotic and fractal systems.
- Random waves and seafloor morphology.
- Stochastic atmospheric and climate processes.
- Air pollution and quality assessment research.
- Modern geostatistics.
- Mechanisms of pollutant formation, emission, exposure and absorption.
- Physical, chemical and biological analysis of human exposure from single and multiple media and routes; control and protection.
- Bioinformatics.
- Probabilistic methods in ecology and population biology.
- Epidemiological investigations.
- Models using stochastic differential equations stochastic or partial differential equations.
- Hazardous waste site characterization.
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