"Dataset on Green Finance, Green Investment and SME Growth in Moroccan SMEs"

his dataset was collected as part of a doctoral research project in management sciences focusing on the role of green finance in the growth of small and medium-sized enterprises (SMEs) in Morocco. The data were obtained through a structured questionnaire administered to business owners, managers, and decision-makers operating in Moroccan SMEs. The survey captures perceptions related to access to green finance, engagement in environmentally sustainable investments, and firm growth performance. The dataset includes three main constructs:(i) Green Finance,(ii) Green Investment, and(iii) SME Growth. Each construct is measured using multiple items based on a five-point Likert scale ranging from “strongly disagree” to “strongly agree”. In addition, the dataset contains control variables such as firm size, firm age, sector of activity, and respondent role. This dataset is intended for empirical analysis using structural equation modeling (SEM), particularly Partial Least Squares (PLS-SEM), to examine both direct and indirect relationships between variables. The data may be used for academic and research purposes, including replication studies, methodological applications, and comparative research in the field of sustainable finance and SME performance. All responses were collected anonymously and used exclusively for scientific research purposes.本数据集源自一项管理学博士研究项目，聚焦绿色金融在摩洛哥中小企业（Small and Medium-sized Enterprises, SMEs）成长中的作用。 研究数据通过结构化问卷采集，调研对象为摩洛哥中小企业的企业所有者、管理者与决策者。该问卷采集了受访者关于绿色金融获取、参与环境可持续投资以及企业成长绩效的认知数据。 本数据集包含三大核心测量构念：(i) 绿色金融（Green Finance）、(ii) 绿色投资（Green Investment）以及(iii) 中小企业成长（SME Growth）。各构念均采用基于五点李克特（Likert）量表的多个题项进行测量，量表计分区间为“完全不同意”至“完全同意”。此外，数据集还包含企业规模、企业成立年限、所属行业以及受访者角色等控制变量。 本数据集适用于采用结构方程模型（Structural Equation Modeling, SEM），尤其是偏最小二乘结构方程模型（Partial Least Squares, PLS-SEM）开展的实证分析，用以检验变量间的直接与间接关联关系。 该数据可用于可持续金融与中小企业绩效领域的学术与研究工作，包括重复验证研究、方法学应用研究以及比较研究等场景。 所有调研数据均以匿名方式收集，且仅用于科学研究用途。