数字农科院2.0

Optimizing Labor Intensity Improves Economic and Environmental Performances in Pu’er Tea Plantations in China

文献类型： 外文期刊

作者： Panfeng Li;Yuanran Xian;Xinhui Huang;Biao Wang;Xiaolong Wang;Yinan Xu;Juping Yan;Jixiao Cui;Yuanquan Chen;Wangsheng Gao

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期刊名称： Ecosystem Health and Sustainability

ISSN： 2096-4129

年卷期： 2025 年 11 卷

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收录情况： SCIE（2025版） ; ; CSCD（2025-2026年度）

摘要： China stands as the world’s largest producer of both conventional and organic tea. However, the economic and environmental performances of labor input intensity on tea cultivation processes remain understudied at present. For Chinese tea varieties, highly specific distribution of major producing regions always led to variations of tea production under conventional management (CM) and organic management (OM) conditions. Therefore, this study focused on the production of Pu’er tea and thus chose the Yunnan province as the study region, which is the largest Pu’er tea-growing province in China. The study compared the economic and environmental performances between organic and conventional Pu’er tea plantations under different labor intensities by a joint analysis based on economic analysis, emergy evaluation, and environmental footprints. The findings revealed that compared with CM, OM reduced costs by 9.06% (P < 0.05) and enhanced the ratio of income to cost by 33.00% (P < 0.05). The emergy sustainability index (ESI) of OM was 33.58% (P < 0.05) higher than that of CM. The environmental footprint index (EFI) per unit area and per unit economic output for OM decreased by 17.31% (P < 0.05) and 37.77% (P < 0.05), respectively, compared to CM. The CM and OM had better economic and ecological benefits when the labor input intensity was 3 to 6 and 8 to 10 persons/hm2, respectively. This study provided a novel perspective on understanding the interaction between labor allocation and green income growth in tea production. The findings of this study offered solid scientific evidence and decision support for the green transformation of Chinese tea industry.

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