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Forestry is the underpinning of economic and environmental civilization for sustainable economic development. Forestry benefits ecosystems and local dwellings; thus, transforming and advancing forest products in a civilized society is critical to building a progressive community. This research aims to analyze the merits of forest products based on static, dynamic, and scale efficiency. It employed the super-efficient data envelopment analysis—Charnes, Cooper and Rhodes, and Malmquist index methods with an enhanced robustness check by applying the Stochastic Frontier Analysis. The results show that, first, from the perspective of static efficiency, the forestry industry's operating performance is maintained at a relatively high level, with a minimal fluctuation range; however, the scale efficiency is observed at a deficient level. Limited by the scale efficiency results, the aggregate comprehensive technical efficiency was at a low standard. The average total factor productivity of dynamic efficiency for each company reached 1.029, indicating that the resource allocation of listed companies is relatively reasonable, operating efficiency is on the rise, and technical level changes are a substantial source of total factor productivity growth. Furthermore, the super efficiency DEA findings indicated that 11 of the most high-performance companies attained an efficiency value above criterion value one after re-ranking. The comprehensive efficiency value of Sun Paper reached 1.438 in 2019, Sophia 1.393, Hexing Packaging 1.383, Fujian Jinsen 1.326, Bunny 1.271, Meike Home Furnishing 1.235, Jingxing Paper 1.222, Zhongshun Jiezou 1.116, Meiying Sen 1.099, Chenming Paper 1.064, Da Ya Dekor 1.015. Second, the comprehensive efficiency value of Fujian Jinsen's company has a more significant impact on the overall average efficiency of the forestry listed companies. After excluding Fujian Jinsen, the average comprehensive efficiency of 2018–2019 indicated an upward trend for the listed companies. This study suggests that policymakers should strengthen the forestry industry development plan and policy implementation regulations to focus on the forward-looking and guiding principles of industrial and technological innovation policies. [ABSTRACT FROM AUTHOR]

Using the survey data of 45 tea enterprises in Fujian Province, China, this paper adopted fuzzy set qualitative comparative analysis (fsQCA) to study the adoption of the sustainable production technologies by tea enterprises. The results show that there are two configurations for the path to achieve the adoption of high sustainable production technologies. The core condition combination of the first configuration is the existence of sustainable development capabilities, the degree of government support, and the resource and environmental endowment, while that of the second configuration is the existence of enterprise expected value, industrial organization mode and the resource and environmental endowment. Moreover, the path achieving non-highly sustainable production technologies adoption mainly summarized as a configuration. Specifically, the core condition is the absence of sustainable development capabilities, enterprise development strategies, and the resource and environmental endowments. Furthermore, some practical policy recommendations were put forward based on the above conclusions in this paper. [ABSTRACT FROM AUTHOR]

Statistical data related to industrial enterprises from 2011 to 2016 in Fujian Province of China show that the ecological efficiency of industrial enterprises has some temporal and spatial distribution characteristics. In general, ecological efficiency was increasing year by year with great differences within the regions, and the difference increase with time. The efficiency in the eastern region was higher than that in other areas. Based on considering spatial weights and combing the spatial econometric model, this paper studied the influencing factors of ecological efficiency of industrial enterprises, and draws conclusions that population density, per-capita GDP, the proportion of industrial output value and the comprehensive utilization rate of industrial solid waste have a significant positive impact on the ecological efficiency of industrial enterprises. In addition, the ratio of value of import and export goods to GDP and the ratio of expenditure on R&D to general public expenditures have a significant negative impact on the ecological efficiency of industrial enterprises, then put forward some relevant countermeasures and suggestions. [ABSTRACT FROM AUTHOR]

The temporal and spatial operation of commodity business activities is neither random nor accidental. It is characterized by inner laws and features. Based on spatio-temporal analysis in GIS, the objective of this study was to use spatial autocorrelation method and kernel density estimation to study the temporal and spatial distribution pattern of customer sources in tea trade extracted from enterprise supply chains in Fujian Province, China. Using data of Fujian tea business as an example, customer sources showed a typical clustered pattern overall that could be classified into several hot areas. The distribution of customer sources is dynamic along with time. These hot areas spread from coastal cities to inland cities, ranging from urban to suburban. Meanwhile, it showed a relatively irregular distribution in suburban areas with aggregation distribution near urban areas. This study applied GIS spatio-temporal analysis technology to the analysis of an enterprise supply chain, synthesizing both spatial and temporal information and successfully integrating business with geography. [ABSTRACT FROM AUTHOR]