On January 1st, 2020, the International Maritime Organization (IMO) implemented a new regulation for a 0.50% global sulphur cap for marine fuels, which was a dramatic decrease from the previous emissions cap of 3.5%. The new regulation will have an enormous impact on the shipping market. At present, there are different feasible schemes for reducing sulphur emissions from ships. Shipowners need to consider the economic cost, energy feasibility, and other relevant factors of different schemes before making decisions. This paper empirically explores the factors that affect shipowners' energy choices. Based on the new emerging individual ship dynamic data, Automatic Identification System (AIS), and other relevant databases, we apply various data mining methods and a threshold discrete choice model combined with an oversampling technique to conduct quantitative measurements and statistical analyses of factors for each ship type that affect the shipowners' choices. Three groups of indicators, including ship characteristics, shipowner characteristics, and market conditions, are considered in our analysis. In the model, we also address the heterogeneity of the carriers towards environmental awareness. This study provides important practical implications for responding to the new emissions regulations among maritime and maritime-related industries and policymakers.

2020年1月1日，国际海事组织（IMO）对全球船用燃料硫含量上限设定为0.50％的新规定，与之前的3.5％的排放上限相比有了显着下降。新规定将对航运市场产生巨大影响。目前，有减少船舶硫排放的可行方案。船东在做出决定之前，需要考虑不同计划的经济成本，能源可行性以及其他相关因素。本文从经验上探讨了影响船东能源选择的因素。基于新出现的个体船舶动态数据，自动识别系统（AIS）和其他相关数据库，我们应用各种数据挖掘方法和阈值离散选择模型，结合过采样技术，对影响船东选择的每种船型进行定量测量和统计分析。我们的分析考虑了三组指标，包括船舶特性，船东特性和市场状况。在模型中，我们还解决了运营商对环境意识的异质性。这项研究为应对海事和与海事有关的行业以及政策制定者中的新排放法规提供了重要的实际意义。我们的分析考虑了船东的特征和市场状况。在模型中，我们还解决了运营商对环境意识的异质性。这项研究为应对海事和与海事有关的行业以及政策制定者中的新排放法规提供了重要的实际意义。我们的分析考虑了船东的特征和市场状况。在模型中，我们还解决了运营商对环境意识的异质性。这项研究为应对海事和与海事有关的行业以及政策制定者中的新排放法规提供了重要的实际意义。