Enhancing green technology innovation through enterprise environmental governance: A life cycle perspective with moderator analysis of dynamic innovation capability

In response to the intensifying compression of resources and the environment associated with rapid industrial growth and increasing living standards, green production and sustainable living have developed essential facts for ecologically conscious progress. Despite the potential benefits of synergy, the complex relationship between green production and living organisms presents challenges that have not been thoroughly explored. This paper aims to fill this gap by proposing a comprehensive mechanism model that elucidates the collaboration between green production and life. Using comprehensive interviews and grounded theory procedures, this study, situated within the supply and demand context, precisely undoes the important basics and academic foundations of the synergy association between green production and living. The outcomes of this study disclose prominent insights: Firstly, collaborative perception, collective ability, and a cooperative atmosphere develop as substantial features with a significant effect on the synergy between green production and living, with resource environments having an indirect impact through their stimulus on synergy capacity. Secondly, the synergy efforts in green production and living, propelled by policy, social, and market environments, display characteristic features. Thirdly, the moderate perception of green production and living relationship is divided into the following four visible facets: educating a demand market for green supply, meeting green demand, catalyzing demand through green supply, and pushing supply through green demand. This paper proposes valuable recommendations, providing targeted policy designs and execution pathways for legislative entities looking for operative intercessions to adoptive collective activities in green production and living.

Section: Connotation and Influencing Factors Of Green Productionmentioning

confidence: 99%

An Exploratory Grounded Theory Approach: Unveiling the Impact Mechanism Model of Collaborative Dynamics between Green Production and Living

Ge,

Du,

Ali

2024

“…In recent years, the peak of carbon emissions has become a hot topic in the fields of international energy conservation and emission reduction [1]. Since its reform and opening up, China has undergone swift economic expansion and consequently encounters significant global pressure to effectively tackle climate change issues.…”

Section: Introductionmentioning

confidence: 99%

The Influencing Factors of Carbon Emissions in the Industrial Sector: Empirical Analysis Based on a Spatial Econometric Model

Xie,

Lu,

Xie

2024

To promote the low-carbon, high-quality development of China’s industrial sector and achieve the national carbon peak goal as soon as possible, this study explores the influencing factors of carbon emissions among industrial sectors. Based on the panel data of 36 industrial sectors in China from 2009 to 2021, the spatial effects and characteristics of industrial sectors are examined by the spatial Durbin model (SDM) based on analyzing the spatial correlation among industrial sectors. The results show the following: (1) Moran’s I statistical results show that China’s industrial carbon emissions have a strong positive spatial correlation, and with time, the spatial correlation between industrial sectors gradually increases. (2) The empirical results of the whole industrial sector show that the property rights structure, capital intensity, and energy structure are the main driving forces promoting carbon emission reduction; the grouping analysis results show that the impact of FDI and property rights structure on the carbon emissions of the industrial sector in different sample groups is different. Among them, the energy structure and research and development play a role in reducing carbon emissions in each sample group. (3) Therefore, in the future, to reduce carbon emissions in the industrial sector, it is necessary to inhibit growth factors and promote the role of reduction factors; optimizing the energy structure and improving the rationality of the property rights structure are effective ways to achieve energy conservation and emission reduction.

“…With the development of society and economy, governments are paying more and more attention to the continuous impact of greenhouse gases on climate change, and are vigorously developing new energy sources to replace coal-fired power generation, while promoting a low-carbon transition in energy supply, which also creates great challenges to the reliability of energy supply in IESs [1][2][3]. Due to the different levels of technology and cost of energy supply equipment [4,5], energy storage, and demand-side loads for IESs, as well as the complexity of the coupling relationship between different energy types, the traditional IES strategies are no longer effective, and there is an urgent need for IES scheduling optimization and apples-to-apples with multi-objective and synergistic considerations for multiple energy sources [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Collaborative Optimization Scheduling of Resilience and Economic Oriented Islanded Integrated Energy System under Low Carbon Transition

Ma,

Wang,

2023

With the development of new energy sources and the increase in the installed scale of energy coupling equipment, the low-carbon transformation of the energy supply of the integrated energy system (IES) has a serious impact on the reliability of the IES supply, and there is an urgent need for a reasonable and accurate assessment and trade-off between the IES resilience and economics. In this regard, this paper models the overall optimization of the resilience and economic configuration and operation scheduling of the IES in the islanded operation mode after grid faults, proposes a two-layer optimization strategy model of resilience and economy, and solves the unit configuration, coupled output characteristics, and optimal scheduling of the islanded IES using the Markov decision-making process and forbearing stratified sequencing method, and evaluates and analyzes the resilience and cost of the various types of IES configuration schemes. Resilience and cost are also evaluated and analyzed. Finally, an example analysis is carried out in an electric-heat-cooling integrated energy system. The results show that the proposed two-tier optimization strategy model can optimize the IES configuration scheme and coordinate the scheduling of each equipment, and the overall annualized cost of the energy system decreases by CNY 45.21 thousand, or a percentage decrease of 5.24%, compared to the same configuration of the conventional strategy. The typical day toughness index improved by 7.33%, 7.56%, and 13.01% in the spring, summer, and autumn, respectively.