采用2008—2017年中国沿海10个省（市、自治区）的数据，通过SBM-GML模型对海水养殖绿色全要素生产率进行测度，从纯技术效率变化、规模技术效率变化、纯技术变化和规模技术变化4个方面进行了更加全面细致的分解，并通过FGLS模型系统地研究其影响因素。结果表明：我国海水养殖业绿色全要素生产率呈上升趋势，主要由纯技术变化驱动，规模技术效率变化和规模技术变化的促进作用较小，纯技术效率变化具有抑制作用。海洋环境规制与绿色全要素生产率显著负相关，海洋科教投入、渔民培训强度、技术推广强度促进了绿色全要素生产率的提升，产业发展和渔业开放程度的影响并不显著。

By using the SBM-GML model, this paper measures the green total factor productivity of China's mariculture industry, and decomposes it from four aspects: pure technical efficiency change, scale effect on technical efficiency, pure technological change and scale effect on technological change. This paper also discusses the determinants of the green total factor productivity of mariculture industry and its mechanism, using FGLS model for regression analysis.It is discovered that: the green total factor productivity index in China shows an obvious upward trend. The increase of green total factor productivity in China's mariculture industry is mainly driven by pure technological changes. Scale effect on technical efficiency and scale effect on technological change have a stimulating effect yet slight influence on it, while pure technological efficiency changes have a negative impact on it. The empirical results show that economically incentive-based environmental regulations are negatively related to green total factor productivity. Investment in marine science and education, intensity of training on fishermen, strength of technology promotion intensity can promote the increase of green total factor productivity. Fishery industrial opening and the industrial development have no significant impacts.

国家社会科学基金研究专项“中美贸易摩擦背景下我国海洋产业转型升级研究”（19VHQ007），国家自然科学基金项目“蓝色粮仓背景下我国海水养殖业绿色技术进步测度、方向性评价与优化研究”（71873127），山东省社科规划重大项目“以创新引领山东蓝色粮仓高质量发展研究”（20AWTJ19）