Fuzzy-set Qualitative Comparative Analysis Research Articles

Investigating social sustainability practices in global supply networks: A fuzzy-set qualitative comparative analysis

Given the paucity of research that examines the impact of Social Sustainability Practices (SSP) on performance outcomes, this study investigates the adoption and influence of these practices on firms' and suppliers’ overall performance, whilst also considering the level of complexity of operational environments of global supply networks. A Fuzzy-sets Qualitative Comparative Analysis (FsQCA) approach is adopted, based on eight primary case studies within the food, chemical and textile sectors, with data collected through semi-structured interviews conducted with representatives from each company.The research identified four key categories of SSP: informative, control, collaborative, and supply network redesign practices. The findings offer empirical support for the notion that SSP adoption yields improved performance outcomes for both the firm and its suppliers. These positive effects encompass enhanced firm profitability, increased supplier efficiency, and heightened supplier innovativeness. Nevertheless, the research uncovered that the relationship between adopting SSP and their impact on performance is not always straightforward. In certain instances, a combination of these practices may be necessary to achieve the desired performance level.In addition, a prudent consideration of the operational complexity present in global supply networks is crucial for informed decision-making pertaining to the selection and adoption of the most appropriate SSP. Driving profits in complex operational environments requires integrating both informative and collaborative practices, whilst tight control is necessary to improve supplier efficiency, regardless of the extent of complexity. Collaboration also emerged as a core factor of success in enhancing supplier innovation regarding social sustainability. Decision makers should also collaborate with external entities, particularly Non-Governmental-Organisations (NGOs) and industry associations/peers, to educate suppliers, thus creating an auspicious environment where suppliers are accountable for their own sustainability performance. This research carries significant practical implications. Managers should evaluate diverse combinations of SSP to confront global sustainability challenges through the utilization of customized strategies that can yield enhanced performance results. Expanding sustainability beyond primary suppliers can often be challenging in a global supply networks, given a firm's limited oversight, transparent knowledge and control over lower tier suppliers. Consequently, managers should seek to strengthen controls and oversight within the manageable segments of the supply network, all the while facilitating self-adaptation within the extended supply network with the adoption of informative and collaborative practices that extend reach, homogeneity, and improve overall governance.

From Policy Adoption to Practice: Comparative Analysis of Innovation Institutionalization Paths

Policy innovation is critical to improve governance capacity; however, contemporary research mainly focuses on diffusion and adoption, disregarding the next stage, namely institutionalization. Taking the diffusion and institutionalization of China’s “One Visit at Most” reform as a case study and using fuzzy-set qualitative comparative analysis, this paper examines the conditions and paths that lead local governments to institutionalize this reform. The results show that four paths lead from innovation to institutionalization: policy system and idea embeddedness, spontaneous competition, learning by seizing momentum, and entrepreneurial breakthrough. These findings extend the research on policy adoption, diffusion, and institutionalization.

Uncovering Determinants of Entrepreneurial Behaviour in a Transitioning Economy: A Fuzzy-set Qualitative Comparative Analysis

The purpose of this research article is to explore the determinants of entrepreneurial behaviour among university students in the Kurdistan Region of Iraq. The study uses a novel approach of fuzzy-set qualitative comparative analysis (fsQCA) to depart from traditional assumptions that causal mechanisms apply equally to all individuals within a group. The study examines how shared characteristics may influence entrepreneurial behaviour. The study contributes to the theory of planned behaviour (TPB) literature by identifying different configurations of factors that lead to entrepreneurial behaviour. The study finds that these configurations vary depending on the student’s gender, personal valuation of entrepreneurship, self-evaluation, and perceived support from their environment. These findings suggest that the context in which students are situated plays a crucial role in shaping their entrepreneurial behaviour, highlighting the importance of considering within-sample variations when studying entrepreneurial intentions. This research article uses a novel approach, fsQCA, to explore the factors that influence entrepreneurial behaviour. It departs from traditional assumptions that the same causal mechanisms apply to all individuals within a group, and instead examines how shared characteristics may influence entrepreneurial behaviour.

Multi-driving paths for the coupling coordinated development of agricultural carbon emission reduction and sequestration and food security: A configurational analysis based on dynamic fsQCA

Exploring the coupling coordinated development of carbon emission reduction and sequestration (CERS) and food security in agriculture is conducive to mitigating climate change and achieving sustainable development goals. However, there is little research on the coupling coordinated development of these two systems. Based on panel data of 31 Chinese provinces from 2001 to 2021, this study used the dynamic fuzzy set qualitative comparative analysis (fsQCA) method to analyze the levels and driving paths of coupling coordinated development between agricultural CERS and food security. The results revealed that (1) the coupling coordination degree increased from 0.443 in 2001 to 0.489 in 2021, showing an upward trend. (2) We identified three driving paths of coupling coordination development: technology-driven, finance-driven and urban-development-driven. (3) The grain sown area and unit yield are core variables, serving as fundamental pillars, and their combination with technology or financial expenditure enhances this coordinated development. Notably, the grain sown area and unit yield exhibit a complementary relationship, while agricultural technology and financial expenditure demonstrate a substitution relationship. (4) Temporal analysis showed a consistent trend in the technology-driven and finance-driven paths. Regional analysis revealed marked heterogeneity: the technology-finance synergy path predominates in the remote west, the technology-driven path lies in the mountainous southwest, the finance-driven path clusters in the north, and the urban-development-driven path is located in economically advanced regions. Policymakers should formulate policies according to these different driving paths to promote coupling coordinated development.

Spatiotemporal variations, influencing factors, and configurational promotion paths of energy efficiency in China’s cities

The promotion of energy efficiency (EE) helps address energy constraints and promote environmental sustainability. This study comprehensively explores the spatiotemporal variations, influencing factors, and configuration promotion paths of EE in 284 Chinese cities during 2003‒2019 using the global super-efficiency minimum distance to strong efficient frontier (G-S-MinDS), exploratory spatial data analysis (ESDA), multiscale geographically weighted regression (MGWR), and fuzzy set qualitative comparative analysis (fsQCA) methods. The findings are: ① China’s cities have an annual average EE of 0.658 with a growth rate of 0.53%, showing considerable promotion potential. ② Industrial structure optimization, population agglomeration, economic development, and increased green coverage contribute positively, while government intervention and openness hinder China’s urban EE. ③ Four configurational promotion paths for enhancing China’s urban EE are identified, where among those paths population density is a core condition, while government intervention is not. This study provides valuable insights into substantially improving urban EE, emphasizing the need for targeted policies to address energy and environmental crises in China.

Identifying factors and configurations influencing the effectiveness of government data openness in China based on fsQCA

Engaging government data openness is of great significance to economic development and social services. As the government data openness process continues to deepen in China, it is worth studying the factors that affect government data openness and the development paths leading to the high performance of data opening. Based on the Technology-Organization-Environment (TOE) theory, this paper proposes a government data open analysis framework including five condition variables (i.e., data support, technical support, government support, economic development, and social development). Using Fuzzy-set Qualitative Comparative Analysis (fsQCA) to analyze data from 25 provincial governments, we discover the key influencing factors and configurations leading to high-level and non-high-level data openness. Experimental results show that a single factor does not determine the level of government data opening. Instead, it is jointly affected by multiple factors in technology, organization, and environment. Three configuration paths are found in developing China’s provincial government data openness, including technology-environment-driven, technology-organization-environment-driven, and technology-organization-driven modes. The analysis results of this paper provide inspiration and suggestions for provincial governments to improve the level of government data opening according to local characteristics.

How Does Interactivity Shape Users' Continuance Intention of Intelligent Voice Assistants? Evidence from SEM and fsQCA.

With the rapid expansion in the use of intelligent voice assistants (IVAs) in people's daily lives, how to improve users' continuous intention is crucial for the sustainable development of intelligent voice technology. Utilizing the stimulus-organism-response (S-O-R) framework, we propose a theoretical model to examine how three dimensions of interactivity (ie, two-way communication, responsiveness, perceived control) impact individuals' affective reactions (ie, psychological ownership, subjective well-being) and continuance intention of IVAs and how that effect differs technology readiness. To validate the proposed model, 412 valid samples were collected in China and underwent analysis using a comprehensive approach that incorporated partial least squares-structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The findings from the PLS-SEM analysis indicate that three dimensions of interactivity have significant impacts on affective reactions to varying degrees, thus affecting users' continuance intention. Among these dimensions, responsiveness is the strongest predictor of affective reactions. Additionally, the impact of subjective well-being on continuance intention is stronger when users with high technology readiness. Finally, the results from fsQCA support the PLS-SEM findings and provide three configurations with different combinations of antecedents that sufficiently explain high continuance intention. Our findings reveal the internal mechanisms through which the three dimensions of interactivity impact users' continued usage of IVAs. This study is among the first to examine the effects of dimensions of interactivity on behavioral intentions, utilizing both symmetric (PLS-SEM) and asymmetric (fsQCA) methodologies to identify the most significant dimensions of interactivity and determine sufficient combinations of dimensions to predict users' intention to continue using IVAs. These findings offer valuable and fresh insights for both theoretical understanding and practical application.

A study on the action mechanism of digital transformation on the output quality of technological innovation

The fourth Industrial Revolution is in full swing, the whole world is pondering the same question: Where is the core breakthrough? With the continuous breakthrough and extensive application of cloud computing, big data, artificial intelligence and other next-generation information technologies, One sign has emerged: digital economy is becoming a new driving force for global economic growth. The impact of digital transformation on enterprises is to improve the quality and efficiency、Improve information quality, Or spread out limited resources and reduce productivity, There is no consensus among academics. To fill that gap, this paper aims to sort out the internal mechanism of how digital transformation improves the output quality of the technological innovation of enterprises from a theoretical perspective, and to establish a digital transformation index at the micro level. On this basis, this study empirically examines how digital transformation affects the output quality of technological innovation.we adopts panel data. It uses data collected from 159 manufacturing enterprises in China. By adopting the methods of PLS structural equation and fuzzy set qualitative comparative analysis (fsQCA), it empirically tests the research model and conducts a mediation analysis through regression analysis. The findings indicated that, Digital transformation can help manufacturing enterprises to improve the output quality of their technological innovation; digital infrastructure plays a significant mediating role between digital transformation and the output quality of technological innovation; the investment of manufacturing enterprises in software and hardware digital infrastructure have a positive impact on the output quality of technological innovation. There is a complementary relationship between the two. The paper was conducted in the context of Chinese culture and can be generalized to other Asian countries. We believe that the research conclusions of this study have important practical significance for how manufacturing enterprises can effectively carry out digital transformation and improve the output quality of technological innovation.

A fsQCA-Based Framework for Cybersecurity of Connected and Automated Vehicles: Implications for Sustainable Development Goals

Connected and automated vehicles (CAV) are increasingly recognized as a critical component of intelligent transportation systems (ITS), contributing to advances in transportation safety and mobility. However, the implementation of CAV in a real-world environment comes with various threats, and cybersecurity is among the most vulnerable. As the technology becomes more advanced and complex, it is essential to develop a comprehensive cybersecurity framework that can address these concerns. This research proposes a novel framework based on complexity theory and employs the fuzzy set qualitative comparative analysis (fsQCA) technique to identify combinations of security attacks that lead to achieving cybersecurity in CAV. Compared to structural equation modelling (SEM), the fsQCA method offers the advantage of demonstrating all possible ways to achieve the outcome. The study’s findings suggest that in-vehicle networks and data storage security are the most crucial factors in ensuring the cybersecurity of CAV. The results can be useful for automotive designers in reducing the potential for attacks while developing secure networks.

Nexus of environmental accounting, sustainable production and financial performance: An integrated analysis using PLS-SEM, fsQCA, and NCA

This study delves into the complex interplay of environmental accounting, sustainable production, and financial performance within the textile industry in Bangladesh. The background highlights the growing importance of sustainable practices in the business landscape and the need for empirical insights in the context of textile companies. The purpose of the study is to uncover the impact of environmental accounting practices, such as environmental cost accounting, carbon accounting, and sustainability reporting, on financial performance. Employing a comprehensive methodology that combines Partial Least Squares Structural Equation Modeling (PLS-SEM), fuzzy-set Qualitative Comparative Analysis (fsQCA), and Necessity Condition Analysis (NCA), the research provides a nuanced understanding of the intricate relationships among these variables. The results reveal that environmental accounting positively influences financial outcomes, and sustainable production acts as both a direct enhancer of financial performance and a mediator in the relationship between environmental accounting initiatives and financial success. Practical and managerial implications emphasize the strategic integration of environmental accounting practices, prioritization of sustainable production, and the role of transparency in sustainability reporting for long-term financial success. Thus, the study offers a roadmap for businesses navigating the intersection of sustainability and financial performance, contributing valuable insights for both academia and industry practitioners.

Enhancing Digital Innovation Ecosystem Resilience through the Interplay of Organizational, Technological, and Environmental Factors: A Study of 31 Provinces in China Using NCA and fsQCA

Digital innovation ecosystems are currently experiencing a period of growth and are navigating uncertain environments. Improving resilience is an important prerequisite for ensuring sustainable developments. This study, based on the technology, organization, and environment (TOE) framework, examines the impact of multilevel antecedent conditions on digital innovation ecosystem resilience using data from 31 Chinese provinces. By applying a necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA), this study reveals complex causal relationships between five antecedents at the “technology–organization–environment” levels and digital innovation ecosystem resilience, along with the improvement paths of digital innovation ecosystem resilience. The results show the following: Firstly, individual antecedent conditions alone do not constitute necessary conditions for high or non-high digital innovation ecosystem resilience. Secondly, there are five configuration paths leading to high digital innovation ecosystem resilience, namely, a digital technology-enabled organization–environment-driven type (H1a), an organization–environment dual-wheel-driven type (H1b), a digital technology-led environment-driven type (H2), a technology–organization–environment trilateral type (H3), and a pressure–organization-driven type (H4). Thirdly, three configuration paths result in non-high digital innovation ecosystem resilience, exhibiting an asymmetric relationship with paths associated with the configuration paths of high digital innovation ecosystem resilience. Finally, potential substitution relationships exist among antecedent conditions at the technological, organizational, and environmental levels.

Exploring the Evolutionary Path of Digital Financial Inclusion in Guangdong Province, China

This study explores the development trajectory of digital financial inclusion in 21 cities in Guangdong Province through fuzzy-set qualitative comparative analysis (fsQCA). The findings emphasize that the success of digital financial inclusion goes beyond individual dimensions, forming a systematic initiative marked by multifaceted interaction among different disciplines. In the trajectory of high-level digital inclusive finance development, the study identifies economic prosperity and technological innovation as crucial elements, highlighting their centrality, and elucidates the synergistic collaboration between market mechanisms and government guidance. Furthermore, the study emphasizes the government’s pivotal role in supporting market mechanisms and guiding policies, highlighting the need to achieve a nuanced equilibrium in the digital financial inclusion strategy. In contrast, non-high-level development paths of digital inclusive finance show a spectrum of diversities, emphasizing the critical roles played by economic fundamentals, government regulation, market mechanisms, and other contextual factors in different trajectories. Regarding policy implications, the study emphasizes the comprehensive and systemic nature inherent in the development of digital inclusive finance. It proposes four policy recommendations, including integrating development strategies, emphasizing scientific and technological innovation and economic development, achieving a delicate balance between market mechanisms and government guidance, and providing precise policy support. These insights provide valuable lessons for shaping digital inclusive financial policies in Guangdong Province and beyond, offering profound insights for strategically constructing robust digital financial ecosystems.

Mixed methods research on satisfaction with athletes’ compensation

This study explores the factors influencing athletes’ compensation satisfaction and their configuration effects. A mixed research approach that combines regression analysis and fuzzy-set qualitative comparative analysis (fsQCA) was applied to process the survey data of 352 athletes from six provinces. The regression analysis results demonstrate that economic compensation, the compensation system, the external environment, and compensation fairness all have a significant positive effect on athletes’ compensation satisfaction. Accordingly, the fsQCA approach was applied to explore the combined effects of the factors influencing athletes’ compensation satisfaction, which verifies the conclusions drawn from regression analysis and provides improvement paths for increasing athletes’ compensation satisfaction.

Exploring the mechanisms of platform empowered cluster development: evidence from the case of Taobao villages in rural China

ABSTRACT By studying a Chinese characteristic phenomenon, the expansion of Taobao villages at the county level, we coin the term ‘platform empowered cluster development’ (PECD). Based on cluster theory and empirical knowledge of Taobao villages, we analyse the pre-existing context, the process forces and outcome of Taobao village expansion in 50 counties with a fuzzy-set qualitative comparative analysis (fsQCA). The following four patterns of PECD are finally identified: A: local government driven without pre-existing context; B: pre-existing advantages driven without process forces; C: first-mover advantage, grassroots driven with locational advantage and D: dual driven without pre-existing context.

How relative technological size affects innovation performance of cross-border technology M&A enterprises: a configuration perspective

ABSTRACT Cross-border technology mergers and acquisitions (M&As) are critical strategic decisions for emerging multinational enterprises (EMNEs) seeking to gain competitive advantage. While previous research has examined the net effect of relative technological size on the innovation performance of EMNEs, their theoretical hypotheses and empirical results have been inconsistent. These studies fall short in explaining how relative technological size enhances innovation performance under conditions of acquirer knowledge absorptive capacity (comprising knowledge base and R&D investment) and macro-institutional contexts (comprising host country institutional quality and diplomatic relations). Utilising a sample of 44 listed firms in mainland China from 2008 to 2018, and employing the fuzzy-set qualitative comparative analysis (fsQCA) approach, our research reveals the relationship between different configurations of these influencing factors and the innovation performance of EMNEs. Our findings suggest that the mechanism by which relative technological size affects innovation performance is contingent upon the conditions of knowledge absorptive capacity and macro-institutional contexts.

Spatio–Temporal Patterns and Driving Mechanisms of Urban Land High-Quality Use: Evidence from the Greater Pearl River Delta Urban Agglomeration

Efficient urban land use plays a crucial role in promoting regional development and ensuring economic growth. Analyzing the spatio–temporal pattern of urban land high-quality use (ULHU) and identifying its key influencing factors and pathways can contribute to enhancing land use efficiency and achieving high-quality development. This study established a comprehensive measurement indicator system for evaluating ULHU using the entropy method and investigated the spatio–temporal evolution pattern of ULHU in the Greater Pearl River Delta (PRD) urban agglomeration in the years 2005, 2010, 2015 and 2020. Furthermore, a multi-period fuzzy-set qualitative comparative analysis method was adopted to explore the concurrent driving mechanisms that impact ULHU from the configuration perspective. The findings reveal that the level of ULHU has exhibited a significant improvement, increasing from 0.1150 in 2005 to 0.2758 in 2020, with an annual growth rate of 8.739%. The spatial pattern in the PRD region exhibits an incremental distribution, characterized by higher values in the central region and lower values in the peripheral area, as this pattern reveals significant heterogeneity across the region. The configurations for ULHU in the PRD were identified, such as Population-industry-talent driven, Openness-fiscal-talent driven, Population-led, and Population-industry driven. Among these configurations, population density and industrial structure were identified as the core driving factors, while the role of talent resources is gradually diminishing. This study provides practical guidance for promoting the ULHU and optimizing national spatial planning.

Exploring online social platform affordances for digital creators: a multi-method approach using qualitative and configurational analysis

PurposeThis study explores the key platform affordances that online social platform providers need to offer digital creators to strengthen the creator ecosystem, one of the leading accelerators for platform growth. Specifically, it aims to investigate how these affordances make the dynamic combinations for high platform quality across diverse platform types and demographic characteristics of digital creators.Design/methodology/approachThis study adopts a multi-method approach. Drawing upon the affordance theory, Study 1 aims to identify the key affordances of online social platforms based on relevant literature and the qualitative interview data collected from 22 digital creators, thereby constructing a conceptual framework of key platform affordances for digital creators. Building on the findings of Study 1, Study 2 explores the dynamic combinations of these platform affordances that contribute to platform quality using a configurational approach. Data from online surveys of 185 digital creators were analyzed using fuzzy set qualitative comparative analysis (fsQCA).FindingsThe results of Study 1 identified key online social platform affordances for digital creators, including Storytelling, Socialization, Design, Development, Promotion, and Protection affordance. Study 2 showed that the combinations of these platform affordances for digital creators are diverse according to the types of platforms, creators’ gender, and their professionality.Research limitations/implicationsLike many studies, this research also has several limitations. One limitation of the research is the potential constraint of the extent of how well the data samples represent the group of creators who are actively producing digital content. Despite the addition of screening questions and meticulous data filtering, it is possible that we did not secure sufficient data from creators who are actively engaged in creative activities. In future research, it is worth contemplating the acquisition of data from actual groups of creators, such as creator communities. Future researchers anticipate obtaining more in-depth and accurate data by directly involving and collaborating with creators.Practical implicationsThis study highlights the need for online social platforms to enhance features for storytelling, socializing, design, development, promotion, and protection, fostering a robust digital creator ecosystem. It emphasizes clear communication of these affordances, ensuring creators can effectively utilize them. Importantly, platforms should adapt these features to accommodate diverse creator profiles, considering differences in gender and expertise levels, especially in emerging spaces like the Metaverse. This approach ensures an equitable and enriching experience for all users and creators, underlining the importance of dynamic interaction and inclusivity in platform development and creator support strategies.Social implicationsThis study underscores the social implications of evolving digital creator ecosystems on online platforms. Identifying six key affordances essential for digital creators highlights the need for platforms to enhance storytelling, socializing, design, development, promotion, and product protection. Crucially, it emphasizes inclusivity, urging platforms to consider diverse creator profiles, including gender and expertise differences, particularly in transitioning from traditional social media to the Metaverse. This approach nurtures a more robust creator ecosystem and fosters an equitable and enriching experience for all users. It signals a shift towards more dynamic, adaptive online environments catering to diverse creators and audiences.Originality/valueFor academics, this study builds the conceptual framework of online social platform affordances for digital creators. Using the configurational approach, this study identified various interdependent relationships among the affordances, which are nuanced by specific contexts, and suggested novel insights for future studies. For practices, the findings specified by creators and platform types are expected to guide platform providers in developing strategies to support digital creators and contribute to platform growth.

Reuse intention of augmented reality apps: recreational consciousness as moderator

ABSTRACT This study investigated the determinants of intention to reuse augmented reality (AR) apps. The data were obtained from 439 IKEA Place app users and evaluated using the ‘partial least squares’ (PLS) and ‘fuzzy-set qualitative comparative analysis’ (fsQCA) approaches. PLS findings revealed that AR attributes significantly influence perceived ease of use, perceived usefulness, and confirmation. All the relationships under the technology continuance theory were confirmed except for the impact of perceived usefulness on attitude. Recreational consciousness positively moderates the influence of attitude on reuse intentions. fsQCA approach uncovered seven configurations of variables that result in high reuse intentions and identified satisfaction as a necessary condition. The study contributed to the literature by (i) exploring the drivers of intention to reuse AR Apps, (ii) extending technology continuance theory, (iii) demonstrating the moderating influence of recreational consciousness, and (iv) using the PLS-fsQCA approach. The findings help develop strategies and design AR apps aimed at retaining users.

Research on the improvement path of grassroots social governance innovation performance in China--Qualitative comparative analysis based on 35 cases.

With the rapid development of China's economy and society, the innovation of grassroots social governance has become increasingly important. This paper constructs 35 grassroots social governance innovation samples. Using the TOE theoretical framework and a fuzzy set qualitative comparative analysis (fsQCA), this paper analyzes the joint effects and interactive relationships of multiple factors on grassroots social governance innovation performance from three dimensions: technology, organization, and environment. The research reveals that internal environmental openness is a necessary condition for achieving high innovation performance in grassroots social governance, and proposes four grouping models that affect the performance of grassroots social governance innovation. This paper explores the inner logic of grassroots social governance innovation from a histological perspective, and on this basis proposes an adaptive path to enhance the performance of grassroots social governance innovation.

Investigating Environmental Efficiency Upgrading Path of Construction Waste Based on Configuration Analysis

The rapid development of urbanization and large-scale engineering projects have led to the output of a large quantity of construction waste, which also puts great pressure on the environment. Environmental efficiency, as one of the criteria for measuring sustainable development, can be used to measure the impact of enterprises, industries, or regions on the environment when creating economic value. This research takes 30 provinces in China as samples and uses configuration analysis and fuzzy-set qualitative comparative analysis (fsQCA) methods to analyze the combined effects of factors affecting the environmental efficiency of construction waste generation, to find upgrading paths to improve environmental efficiency. The results indicate that five configurations can promote provinces to achieve high environmental efficiency, which can be classified into three types: population density, technological innovation, and policy economy. These three configurations reveal the comprehensive impact of systematic correlations among population, technology, policy, and economic factors on environmental efficiency improvements. This research provides a certain theoretical reference for exploring the influencing factors of environmental efficiency and provides theoretical guidance for selecting different paths to improve the environmental efficiency of construction waste in regions with different social conditions.