Synergistic study of the green efficiency and economic resilience of agriculture from a sustainable development perspective: evidence from Northeast China

Under the scenario of the complex external environment and internal structural changes in agricultural development, exploring the synergistic relationship between agricultural green efficiency (AGE) and agricultural economic resilience (AER) can offer a new path for fostering sustainable regional agricultural development. This paper fills the research gap in the interaction between efficiency and resilience in agriculture. We explore the synergistic mechanism of the two based on the perspective of sustainable development, providing a reference for constructing a synergistic theoretical system of AGE and AER. Moreover, we apply the Haken model to the field of the agricultural economy and scientifically evaluate the level of AGE and AER synergy in Northeast China from 2010 to 2020. Finally, we analyze the influencing factors of AGE and AER synergy in Northeast China from three dimensions: economic, social, and natural. The results show that AER is dominant in the AGE-AER synergistic system. The synergy level of AGE and AER in Northeast China is mainly in the higher and advanced synergy stages, with obvious spatio-temporal differences and insufficient inter-regional radiation effects. Social factors are the main factors of spatial differentiation of AGE and AER synergy.

Performance measurement for green supplier selection based on data envelopment analysis

With increasing global awareness of sustainable development and environmental protection, the importance of green supplier selection has become widely recognized. Recently, more and more literature focus on the green supplier selection issue and measurement of supplier performance; the measurement indicators mainly defined two sets of criteria, including management criteria and green criteria. A novel methodology based on data envelopment analysis (DEA) has been developed, which is effective for solving multi-criteria decision problems in supplier selection and evaluating the performance of a set of homogeneous decision-making units (DMUs). To solve the green supplier selection problem, previous studies apply the DEA method by dividing management criteria as inputs and green criteria as outputs. This paper aims to propose a DEA-type green supplier selection methodology by considering the management criteria and green criteria. Unlike the previous method, we define a reasonable and effective division of measurement indicators, where management criteria consist of input variables, desirable and undesirable output variables, while green criteria consist of desirable and undesirable output variables. We also provide an improved model with multi-criteria and multi-objective programming by considering DEA efficiency decomposition, which evaluates management, green, and overall efficiency of candidate suppliers simultaneously. The multi-criteria decision model will help companies to select the best green supplier. To demonstrate the applicability and effectiveness of our proposed model, we present a numerical example at last.