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While existing literature acknowledges the development of digital capabilities as essential for enterprises to achieve digital transformation, it falls short in offering comprehensive theoretical insights into the dynamic evolution of these capabilities, especially in the field of environmental and sustainability issues. This paper addresses this gap by employing an exploratory single-case study methodology to investigate the intricate process through which an ecological restoration enterprise in China updates its digital strategy, facilitating the dynamic evolution of its digital capabilities from a resource orchestration theory perspective. Our findings reveal a sequential evolution from digital strategy renewal to resource orchestration and, ultimately, the advancement of digital capabilities. Specifically, the enterprise engages in a co-adjustment and co-creation process, aligning its resources with a digital strategy refresh and fostering the emergence of digital integration and innovation capabilities through effective resource management. This includes the accumulation and divesting of resources as part of the construction process, alongside the enrichment and bundling of resources. This research bridges the gap in the current literature by providing a nuanced understanding of the mechanisms that drive the evolution of digital capabilities, and it offers a theoretical framework that integrates strategic renewal with resource orchestration for environmental and socio-economic sustainable development. Furthermore, the insights gained provide vital managerial implications for the governance, corporate social responsibility and policy of industrial digitalization towards global environmental practice and sustainable development goals (SDGs). [ABSTRACT FROM AUTHOR]

Rational assessment of the regional sustainable development level is an important prerequisite for formulating development strategies and achieving the UN Sustainable Development Goals (SDGs). Currently, little literature provides nuanced understanding for national sustainable development from the perspective of county sustainability. Such studies can provide more accurate regional heterogeneity characteristics and policy decision support. Thus, this paper applies the entropy weight method and Chinese county data from 2000 to 2017 to reassess the sustainability of Chinese counties. The results show that China's county sustainability (Sustainable Development Index, SDI) is slowly improving. County sustainability performance is poorer in ethnic minority agglomerations, poor counties, old revolutionary counties, and central and western regions, better in county-level cities and eastern regions. The decomposition results show that economic sustainability and environmental sustainability are the main supporters of SDI growth, and livelihood sustainability is in urgent need of improvement. The regional inequality of SDI in Chinese counties gradually decreases, and inter-group differences are the main contributors to regional inequality in SDI. This paper provides support for China to develop county-level sustainable development measures and practice the SDGs. The findings could be useful for policymakers. [Display omitted] • Based on the entropy weight method and the Chinese county data, the sustainable development levels of 1533 counties in China from 2000 to 2017 are estimated. • Analyses of spatial-temporal dynamic heterogeneity, Linear decomposition, and Dagum decomposition are conducted to study the features of sustainable development in Chinese counties. •The influence of natural features and national concern preferences on county sustainable development are discussed. [ABSTRACT FROM AUTHOR]

As the path of industrial eco-efficiency (IEE) needs to be re-examined from a multi-dimensional perspective, this research opens the internal "black box" of China's industrial eco-economic system driven by sustainable development goals (SDGs) and decomposes IEE into industrial production and sustainable development stages. It further divides the industrial production stage into two parallel subsystems of water use efficiency (WUE) and energy efficiency (EE) and derives SDG6 efficiency (SDG 6 E) and SDG7 efficiency (SDG 7 E) in the sustainable development stage respectively. The paper proposes a meta two-stage parallel entropy dynamic DDF-DEA model to re-measure IEE of 30 provinces in China from 2015 to 2021, discusses the relationship between overall efficiency and stage efficiency, and by using the Tobit model explores various types of influencing factors by subregion. The results show that the modified DDF-DEA model can explore China's IEE more accurately under SDGs. China's IEE is more stable from 2015 to 2021, with the efficiency value always fluctuating between 0.59 and 0.64, the overall level is low, and there is more room for improvement. There are significant inter-provincial differences in IEE and efficiency inertia. In more than 75% of the provinces SDG 7 E constrains IEE improvement, while the dynamic evolution of IEE and its subsystem efficiency varies across regions. Environmental regulation is a common factor affecting IEE across the country and in the east, central, and west regions, whereas the level of economic development, openness to the outside world, and urbanization rate are differential factors affecting IEE across the country and in the three major regions. This study offers new perspectives for exploring the path of IEE enhancement and providing empirical references for the collaborative construction of industrial ecological civilization. [Display omitted] [ABSTRACT FROM AUTHOR]

The increasing pressures of global warming, population growth and epidemic occurrence are causing challenges in meeting the growing requirements for water, energy and food. In particular, the contradiction between the supply and demand for water, food, and energy is exacerbated by inefficient resource utilization and carbon emission increase. Incorporation of the interlinked aspects of water, energy, food and carbon emissions from agricultural systems into one water-food-energy-carbon nexus facilitates integrated resource management. Biochar application to farmland is a potential strategy for carbon management and agricultural productivity improvement. The integration of biochar systems and the water-food-energy-carbon nexus is an efficient and coordinated alternative method for sustainable agricultural management and a crucial strategy for addressing water, energy and food security issues. Accordingly, this paper proposes an approach for the synergistic regulation of water, land, energy, and carbon emissions in a circular agricultural system by balancing water supply and demand, land allocation, electricity consumption, and economic upgrading principles. A two-stage circular agriculture framework is constructed, with biochar and electricity generated from agricultural residues at the first stage and employed at the second stage. Economic-environmental-energy harmonization is considered in the methodology, and the agrotechnical potential of biochar is quantified via crop yield increase and greenhouse gas emission reduction functions. This approach can assist decision makers in providing the best policy options given certain agricultural resources to achieve the maximum economic performance of the system while minimizing environmental side effects. In this paper, the model framework is applied to the Sanjiang Plain in northeastern China to verify the feasibility of the approach. The results indicate that the external electricity demand is reduced by 87.8% due to the generation of biofuels. Cropland greenhouse gas emissions are reduced by 34.09%–67.06% via the application of biochar. This study proposes an optimization method with important implications for the improvement of regional cropland management techniques and development of sustainable circular agriculture. This methodology can be extended to other agriculture-centered regions with limited resources and environmental problems. • Carbon cycle is integrated in agricultural water-food-energy-carbon (AWFEC) nexus. • An AWFEC nexus based model is developed for agricultural resources recycling. • Biochar and electricity are optimized sustainably for circular agriculture. • Analysis of resources recycling on economic-environmental balance is performed. [ABSTRACT FROM AUTHOR]

Fresh food cold supply chains (CSCs) feature high fresh food quality and safety, high energy consumption, and poor economic and environmental sustainability. Sustainable management of fresh food CSCs is critical. However, limited research has addressed the implementation of systematic good practices in sustainable fresh food CSCs in developing countries. Consequently, decision-makers lack empirical evidence to help them understand how companies successfully implement systematic good practices and how those good practices affect sustainability performance. This paper formulates a hybrid analytic hierarchy process-fuzzy technique for order preference by similarity to ideal solution (AHP-Fuzzy TOPSIS) decision framework to systematically explore the impact of good practices on the sustainability performance of fresh food CSCs in the context of a developing country such as China. The results of the integrated methodology show that China's CSC industry pays more attention to economic sustainability and that employee training is the most impactful good practice for improving the sustainability performance of fresh food CSCs. • A systematic study of good practice and sustainability performance indicators. • A fresh food CSC sustainability performance assessment framework applied in China. • Order of importance of sustainability performance assessment indicators. • Ranking of good practices to improve fresh food CSC sustainability performance. [ABSTRACT FROM AUTHOR]

Small and medium-sized enterprises (SMEs) play a very important role in national production, and provide more than 60% of the employment opportunities for the society. The benign development of small and medium-sized enterprises determines the sustainability of economic operation. In recent years, small and medium-sized enterprises have faced increasing operational pressure. Due to scale limitations, insufficient funds and weak bargaining power, small and medium-sized enterprises are often at a disadvantage when dealing with suppliers. One the one hand, large suppliers rely on the imbalance of bargaining power to increase the transaction costs of small and medium-sized enterprises; On the other hand, small and medium-sized suppliers with poor reputation may use legal loopholes to commit fraud, which may even threaten the survival of small and medium-sized enterprises in severe cases. However, the existing literature focuses more on the situation of large organizations facing complex and diverse suppliers. Therefore, this paper constructed a supplier selection evaluation framework for small and medium-sized enterprises, and proposed an extended PROMETHEE Ⅱ method to achieve sustainable supplier selection process. First, establish a sustainable supplier selection evaluation framework from the three dimensions of product and service capability, cooperation degree and risk factors; Second, combine the PROMETHEE Ⅱ approach with subjective preference parameters and probability language term set (PLTS) to obtain an extended PROMETHEE Ⅱ approach; Last, use the methodology of this paper to implement sustainable supplier selection for a small and medium-sized enterprise (M company) in China. The practical case and sensitivity analysis showed that the evaluation framework and method proposed in this paper were applicable and effective. Actual cases and sensitivity analysis showed that cost, credit and corporate irregularities were the three most important aspects for small and medium-sized enterprises to evaluate supplier performance. [Display omitted] • Small and medium-sized enterprises face complex and diverse suppliers. • Establish a sustainable supplier selection criteria framework. • Improve the PROMETHEE Ⅱ method by combining probabilistic language term sets. • The study provides decision support for the supplier selection. [ABSTRACT FROM AUTHOR]

Water, energy, and food (WEF) are pivotal resources for the sustainable development of human society. Integrated assessment of the sustainable WEF nexus is essential to enhance resource efficiency and security, but there is a crucial gap to be filled in assessing the coupling relationship among sustainable WEF subsystems and improving multi-sectoral synergy. In this paper, a comprehensive indicator system for sustainable WEF nexus assessment was constructed based on theme-based frameworks and nexus thinking, and the combination weighting method based on game theory (GT-CW), the improved TOPSIS method based on gray relation degree (GRD-ITOPSIS), and the coupling coordination model were proposed for integrated assessment. The sustainability of WEF nexus in 30 regions of China from 2010 to 2019 was assessed and the spatiotemporal differences of the coupling coordination degree of sustainable WEF nexus were analyzed. The results revealed that the sustainability of WEF subsystems evidently affected the overall sustainability of regional WEF nexus. The change range of sustainable WEF nexus in different years was slightly lower than that of a single subsystem. The sustainability of WEF subsystems were highly coupled, and the WEF nexus in each region was within the coordinated development range. However, most eastern regions were at the intermediate coordinated development stage, and some western regions maintained at primary coordinated development stage for a long time. According to the results analysis, specific policy recommendations were proposed. The findings of this study can provide a useful reference for developing countries to improve resource management and promote sustainable development. [Display omitted] (1) Sustainable water-energy-food nexus in 30 regions of China was assessed. (2) Combination weighting method was optimized by game theory. (3) TOPSIS method was optimized by gray relation degree. (4) The synergy among WEF nexus were analyzed by coupling coordination degree. (5) The WEF nexus in each region was within the coordinated development range. [ABSTRACT FROM AUTHOR]