Search Results (4,460)

The objectives of this study are to examine the direct relationships among perceived ethics, perceived sustainability, customer trust, customer engagement, and customer loyalty; and to investigate the mediating roles of customer trust and customer engagement in explaining the relationship between ethical and sustainability perceptions and customer loyalty. Using the Stimulus–Organism–Response (SOR) framework and the Theory of Planned Behavior (TPB) as theoretical foundations, this research examines how ethical and sustainability perceptions within social commerce environments influence customers’ psychological states and behavioral responses. A quantitative approach was used, involving data collection from 360 Thai consumers who had previously bought sustainable fashion items through social media. The proposed model was then evaluated using partial least squares structural equation modeling (PLS-SEM). The results suggest that consumers’ evaluations of seller ethics significantly enhance their perceptions of product sustainability, customer trust, and engagement. Furthermore, perceived sustainability of fashion products affects both trust and engagement. Customer trust subsequently promotes both engagement and loyalty; however, customer engagement exhibits the most substantial direct effect on customer loyalty. Mediation analysis confirms the essential functions of trust and engagement in mediating the impacts of ethical and sustainability perceptions on loyalty. These findings highlight the importance of ethical transparency and proactive customer engagement in fostering trust and long-term customer loyalty within social media-based sustainable fashion commerce. Therefore. This study provides both theoretical and practical insights for sustainable fashion enterprises functioning within digital contexts. Full article

Traditional static policy frameworks struggle to effectively respond to dynamic changes in enterprise behavior, thereby undermining the sustainability of policy constraints; therefore, promoting enterprise green technology innovation (GTI) requires adaptive governance, while consumer green preferences play a non-negligible role in this process. This study constructs an evolutionary game model to examine the strategic interactions between governments and enterprises under a dynamic subsidy and penalty mechanism, incorporating consumer green preferences into the analysis. The results show that static subsidy and penalty mechanisms are insufficient to sustain incentives for enterprise GTI; in contrast, dynamic subsidy and penalty mechanisms are more effective in promoting enterprise GTI. Further analysis reveals that the mechanism combining dynamic subsidies and static penalties exhibits superior governance effectiveness, with a “low-subsidy, high-penalty” strategy combination demonstrating a stronger incentive effect in promoting enterprise GTI. Consumer green preferences significantly influence the strategic choices of both governments and enterprises, and their enhancement drives enterprises to engage in GTI. Overall, promoting GTI requires a shift from rigid static policies to adaptive governance, with full considerations on the impact of consumer green preferences on stakeholder behavior. Full article

This study examines whether stricter enforcement of mandatory social insurance contributions affects corporate income tax behavior in China. In the Chinese institutional context, mandatory social insurance refers to payroll-based employer and employee contributions to five statutory programs: basic pension insurance, basic medical insurance, work-injury insurance, unemployment insurance, and maternity insurance. These programs are directly related to social sustainability because they finance old-age income security, medical protection, workplace injury compensation, unemployment support, maternity protection, and labor-market stability. Using China’s 2018 social insurance collection reform as a quasi-natural experiment, we analyze A-share listed companies from 2014 to 2024 through a difference-in-differences design based on differential exposure between private firms and state-owned enterprises. To assess the reliability of the identification strategy, we employ firm and year fixed effects, event-study analysis, placebo tests, alternative measures of tax avoidance, and propensity score matching difference-in-differences robustness checks. The findings show a tax-fee seesaw effect: private firms subject to extensive regulatory scrutiny respond to more rigorous enforcement of social insurance contributions by increasing corporate income tax avoidance. Analysis of the mechanisms shows that the Whited-Wu index of financial constraints partially explains this phenomenon. The effect is more pronounced in firms with higher labor costs and greater administrative expense intensity, indicating that the increased response is driven by labor cost exposure and organizational discretion. By contrast, the effect is weaker among firms audited by the Big Four accounting networks—Deloitte, PricewaterhouseCoopers, Ernst & Young, and KPMG—indicating that high-quality external audits constrain aggressive tax planning. Regionally, the effect is most pronounced in eastern China, where markets, labor costs, and tax-planning services are more developed. The findings contribute to the sustainable development literature by demonstrating that reforms designed to strengthen social insurance sustainability can unintentionally weaken tax compliance if payroll contributions, tax administration, and corporate financial pressures are not coordinated. The study highlights the importance of integrated fiscal governance for achieving socially sustainable and fiscally balanced development. Full article

This study sought to examine the evolution of financial technology (FinTech) and its huge influence on traditional financial systems, with particular attention to InsurTech, regulatory technology, robo-advisory services, and advertising technology. Focusing on the intersection of FinTech and small- and medium-sized enterprises (SMEs), the study employed a bibliometric analysis of 365 publications indexed in the Scopus database from 2007 to 2023. Scientific mapping techniques were used to identify key research domains, leading institutions, influential authors, and major contributing countries. The findings revealed a strong and growing interconnection between FinTech and SMEs, emphasizing the critical role of SMEs in economic development and financial inclusion. The analysis also highlighted the dominance of China in global FinTech research and identified emerging thematic trends that appeared to have shaped the field. The study concluded that FinTech innovations significantly contribute to enhancing financial system efficiency, resilience, and accessibility, thereby supporting sustainable economic growth. The insights obtained from this study may be found to be useful for policymakers, financial institutions, and SMEs whose interest is to leverage digital financial innovations for strategic decision making. This research offers a comprehensive overview of FinTech’s evolution and provides a foundation for future empirical and qualitative studies. Full article

This study examines the relationships between digital transformation, business development, and firm performance in manufacturing firms operating in a developing country, with a particular focus on small and medium-sized enterprises (SMEs). Based on the digital transformation and business development literature, a conceptual model is developed to analyze the effects of digital transformation and business development on firm performance, as well as the influence of digital transformation on business development. The findings reveal that digital transformation has a moderate and statistically significant positive effect on firm performance and a strong positive effect on business development. In contrast, the effect of business development on firm performance is positive but weak and statistically insignificant. These results indicate that digital transformation plays a central role in enhancing organizational performance and strengthening business development capabilities, while business development alone may be insufficient to generate immediate performance improvements, particularly for resource-constrained SMEs. This study contributes to the literature by emphasizing the pivotal role of digital transformation in improving firm performance and business development in developing economies. From a practical perspective, the findings highlight the importance of prioritizing digital transformation initiatives—especially for SMEs—to achieve sustainable competitiveness and long-term growth. Full article

Assessing the level of circularity in the Hotel, Restaurant and Catering (HoReCa) sector is a significant challenge due to the lack of standardized quantification methods and the absence of structured environmental and material accounting systems, features that are typical of a sector largely composed of micro-enterprises. The technical standard UNI/TS 11820:2024 has developed a set of 71 indicators for the circular economy, structured across six domains (material resources and components; energy and water; waste and emissions; logistics; products and services; and human resources, assets, policies, and sustainability), allowing the assessment of circularity levels in a replicable and comparable manner. The present research measures circularity in a table-service restaurant micro-enterprise, which has voluntarily adopted circular economy practices since its foundation. The purpose is to test the applicability of UNI/TS 11820:2024 in the HoReCa context, improve knowledge about this technical standard, and highlight its strengths and weaknesses from the managerial, methodological and public authorities’ perspective. The overall organization’s circularity score achieved is 31.88%, with performance ranging from 14.40% for “material resources and components” to 56.25% for “human resources, assets and policies”. Although UNI/TS 11820:2024 aims at bridging theoretical and practical gaps towards a harmonized set of measurement tools, sector-specific indicators for the foodservice context remain underrepresented, and public authorities and universities should promote both basic and advanced education in the field of circular economy measurement to support wider adoption. Full article

Comprehensive utilization of crop straw (CUCS) is a critical pathway toward sustainable agricultural development, synergizing food security and carbon neutrality goals. However, there remains a lack of systematic empirical evidence regarding its macro-level productivity associations and the conditions under which they materialize. Based on China’s provincial panel data from 2011 to 2023, this paper takes the CUCS pilot policy launched in 2016 as a quasi-natural experiment and employs the difference-in-differences (DID) model to examine the association between CUCS and grain yield, along with its moderating factors and environmental co-benefits. This study yields four main findings. First, CUCS is associated with higher grain yield in pilot regions, and this finding remains robust after a series of endogeneity and robustness checks. Second, the positive association between CUCS and grain output appears to be moderated by fiscal support and innovation–entrepreneurship. The relationship is more pronounced in regions with higher fiscal expenditures on agriculture and environmental protection, as well as more agricultural patents and agricultural enterprises. Third, heterogeneity analysis suggests that the CUCS–grain output association tends to be stronger in regions with richer groundwater resources and more agricultural meteorological observation stations. Fourth, extended analysis indicates that CUCS is also associated with lower particulate matter and agricultural carbon emissions, a pattern consistent with synergistic environmental benefits. By integrating economic and environmental dimensions into a unified analytical framework, this study provides empirical evidence on the contribution of comprehensive straw utilization to grain output and highlights the enabling role of fiscal and innovation environments. These findings offer integrated evidence from China for the policy evaluation of climate-smart agriculture and contribute to the broader sustainable development agenda. Full article

This study evaluates how environmental regulation influences enterprise management practices in the YREB of China, which faces a dilemma between economic growth and ecological conservation. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines, a qualitative systematic review of empirical studies published between 2015 and 2025 was conducted. The data were retrieved via Web of Science and Scopus, supplemented by Google Scholar and ScienceDirect. Subsequently, thematic analysis and data visualization were conducted by MAXQDA 2024. The findings synthesize evidence across key themes, environmental information disclosure (EID), green innovation, governance adaptation, and regional disparity themes to synthesize key empirical findings. From the perspectives of Institutional Theory and Stakeholder Theory, the findings suggest that environmental regulation is not only a compliance burden, but also a force for enterprise change, driving EID practices and innovation-oriented competitive advantages. The results further suggest that when institutions are more developed or policy implementation is more stable, enterprises are better able to adjust, implying that downstream regions are more flexible than upstream regions. Other instruments to close the implementation gap and support sustainable development are multi-level governance, context-specific policy instruments, and Integrated Water Resource Management. Also, it may be highlighted that effectiveness in environmental governance relies on governance quality, institutional capacities, and regionally differentiated aspects. Future research should better identify causal mechanisms and improve cross-region learning to improve equitable and effective environmental governance in China’s evolving socio-ecological context. Full article

Promoting the integration of the industrial and innovation chains (ICIC) constitutes a crucial strategy adopted by the Chinese government to foster sustainable economic development. Industrial intelligence (II), as a prominent application of artificial intelligence in the manufacturing sector, serves as a key engine for China’s industrial upgrading and has garnered widespread scholarly attention regarding its economic impacts. Using provincial-level panel data from China spanning 2011 to 2023, this study empirically investigates the impact of II on ICIC. The empirical results indicate the following: First, II exerts a significant positive impact on ICIC, and this conclusion remains robust after a series of robustness tests. Second, high-tech enterprises agglomeration and high-skilled labor agglomeration act as two critical channels through which II promotes ICIC, whereas technological innovation fails to play a mediating role. Third, both digital infrastructure and marketization positively moderate the relationship between II and ICIC, thereby significantly amplifying the positive impact of II on ICIC. Fourth, the positive effect of II on ICIC is found to be universally applicable: II can significantly promote ICIC in provinces with either strong or weak manufacturing (service) industries. These findings offer valuable theoretical support and practical implications for countries worldwide with diverse endowments in manufacturing and service industries that are pursuing II and striving to promote ICIC. Full article

The transition to a low-carbon economy is the cornerstone of global sustainability, requiring high-emission enterprises to shift from carbon-intensive production to genuine green innovation. However, this study uncovers a significant structural impediment to this transition: the “defensive greenwashing” response to climate stress. Focusing on listed companies in China’s high-emission industries (2009–2024), we employ a Debiased Machine Learning (DML) framework and Causal Forest analysis to capture the non-linear impacts of multi-dimensional climate risks. Our findings reveal a robust “threshold-trigger” mechanism: once climate pressures—whether physical shocks or policy-induced transition risks—exceed corporate endurance levels, firms aggressively pivot toward strategic “information arbitrage” rather than substantive decarbonization. We identify a profound “capability paradox” in sustainability governance, where firms with higher digital maturity and resource slack leverage their technical prowess to “calibrate” sophisticated narratives, thereby widening the monitoring gap and distorting green asset pricing. Furthermore, CEO risk preference acts as a psychological accelerator, amplifying strategic decoupling, particularly under transition-risk-induced uncertainty. By demonstrating how climate stress inadvertently incentivizes symbolic compliance over sustainable transformation, this research offers critical micro-level insights for policymakers. These findings are vital for refining sustainability oversight and ensuring that capital allocation fosters a resilient, equitable transition toward true ecological and economic decoupling. Full article

Building climate-resilient cities strengthens urban livability and sustainable development levels. This paper constructs a difference-in-differences model to examine the impact of the pilot policy for climate-resilient city construction (CRCC—CRCC is used uniformly in the following text to represent the policy) on green sustainable innovation, using panel data of 260 prefecture-level Chinese cities from 2009 to 2023. The results reveal that CRCC can significantly promote green sustainable innovation in Chinese cities. Additionally, CRCC promotes green sustainable innovation by increasing the level of informatization, improving green total-factor energy efficiency, boosting corporate ESG performance, and alleviating corporate financing constraints. Therefore, it is necessary to further strengthen the implementation and promotion of China’s climate pilot policy. Attention should be paid to optimizing the pathways through which the pilot policy affects green sustainable innovation. Differentiated regional policies should be implemented based on local conditions. A tripartite linkage mechanism involving the government, enterprises, and the public should be established to increase societal awareness and support for climate-resilient city construction. Full article

Against the backdrop of the ongoing advancement of the “dual carbon” goals and the carbon emission trading system, green innovation in small and medium-sized manufacturing enterprises faces multiple practical constraints, including financing constraints, technological commercialization risk, and market recognition costs. To examine the mechanism through which government regulation affects firms’ green innovation behavior, this study develops a four-party evolutionary game model involving government, small and medium-sized manufacturing enterprises, consumers, and investment institutions, and analyzes the strategic interactions and dynamic evolution of these actors. The results show that regulatory intensity, consumer green preference, and financial support from investment institutions all exert significant effects on green innovation decisions in small and medium-sized manufacturing enterprises. Whether firms choose substantive green innovation depends primarily on such key factors as financing uncertainty, technological commercialization risk, the intensity of government penalties, and the level of policy incentives. Further stability analysis and numerical simulations indicate that stronger administrative penalties significantly increase the likelihood that firms adopt substantive green innovation and also promote green consumption among consumers. This effect becomes more pronounced when financing uncertainty declines. At the same time, stronger policy incentives for green investment enhance the willingness of investment institutions to participate in green projects, and this effect is further reinforced when technological commercialization risk is reduced. The findings suggest that green innovation in small and medium-sized manufacturing enterprises is characterized by strong multi-actor interdependence. Its evolutionary outcome is shaped not only by regulatory pressure, but also by green financial support, the conditions for technological commercialization, and market demand. Accordingly, sustained green innovation in small and medium-sized manufacturing enterprises requires coordinated efforts to improve regulatory arrangements, strengthen green finance support systems, reduce the cost of technological commercialization, and cultivate green consumer markets. Full article

This study aims to investigate the greenhouse gas (GHG) emissions and environmental footprint of BOCOM Petroleum, a mid-sized downstream oil company operating in Douala, Cameroon. In response to the critical need for empirical data on industrial emissions in Sub-Saharan Africa, a mixed-methods approach combining Life Cycle Assessment (LCA), carbon accounting, and stakeholder interviews was adopted. Emissions were categorised following the GHG Protocol into Scope 1 (direct), Scope 2 (energy-related), and Scope 3 (value chain). Results reveal total annual emissions of 51,734 CO₂, kg/year, with Scope 3 accounting for 38%, Scope 2 for 33%, and Scope 1 for 29%. Major emission sources include stationary combustion, laboratory processes, and the use of electricity-intensive heat-generating machines. An Environmental Management Plan (EMP) was developed, proposing actionable measures such as process optimisation, adoption of energy-efficient equipment, electrification of vehicle fleets, and improved waste management. Findings underscore the need for systemic decarbonisation strategies among mid-sized oil firms and highlight the alignment of corporate initiatives with Cameroon’s climate commitments. This study contributes a replicable methodological framework for emission auditing in industrial enterprises across the region and calls for further integration of environmental and financial planning in corporate sustainability strategies. Full article

Rural industrial integration is widely recognized as a pivotal strategy for rural revitalization and sustainable development. However, despite its potential to foster economic growth, its actual impact on the livelihood resilience of individual farm households remains a complex issue that requires empirical validation. Drawing upon the Sustainable Livelihood Analysis (SLA) framework and micro-level data from the China Land Economic Survey (CLES) (2020–2022), this study employs propensity score matching (PSM) and the conditional mixed process (CMP) method to systematically examine the impact of rural industrial integration on household livelihood resilience, its transmission mechanisms, and its heterogeneous effects. The empirical results demonstrate that rural industrial integration significantly enhances farmers’ livelihood resilience, with an estimated net impact of 17.1%. Specifically, the positive influence on learning capacity is found to be more pronounced than that on buffering and self-organizing capacities. Mechanism analysis suggests that livelihood resilience is bolstered through the dual pathways of “external push” and “endogenous pull.” Furthermore, heterogeneity analysis reveals that models involving vertical industrial chain extension and technology diffusion models yield more substantial impacts among various integration forms. Notably, compared to leading enterprises, participation in cooperatives is found to exert a more significant influence on farmers’ resilience. Consequently, to promote sustainable livelihoods, policy interventions should prioritize the integrated development of rural industries by balancing external resource mobilization with the activation of internal drivers, while remaining vigilant against potential development imbalances arising from different organizational structures. Full article

Total factor productivity (TFP) acts as the core micro-foundation for enterprises to enhance resource allocation efficiency, thereby fundamentally boosting their sustainable development capability and long-term sustainability performance. Based on differentiated exposure to the R&D additional deduction policy (the R&D policy), this paper explores TFP disparities and heterogeneous responses among intelligent manufacturing enterprises, together with potential mechanisms. The results indicate that enterprises with access to the R&D policy present higher TFP levels on average and show noticeable differences in TFP performance relative to non-affected enterprises. Mechanism tests suggest that the R&D policy is associated with relieved financing constraints, strengthened R&D willingness, and optimized allocation of R&D resources, which may jointly correlate with the variation in enterprise TFP. Further heterogeneous analysis demonstrates that such disparities in TFP performance are more pronounced in enterprises with high labor intensity, low capital intensity, slow industrial technology iteration, eastern regional distribution, and large scale. This paper clarifies the differential performance characteristics and potential influencing pathways of enterprise TFP under the context of the R&D policy, and provides empirical evidence and practical references originating from China for relevant policy research in other countries and regions. Full article