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个体工业在浙江工业经济中占有较大份额,有着重要地位。通过抽样调查推算个体工业经济总量的统计方法已被实践证明是科学、有效的。由于抽样调查方法较多,对不同区域、不同经济结构的个体工业采取不同的抽样方法是必要的。选择科学、合理的抽样调查方法能够提高抽样效率和数据质量,反之,事倍功半。本文根据浙江个体工业特点和抽样框的有关资料,采用不同抽样方法进行模拟应用,对各种抽样方法特点、样本数量和样本分布进行分析比较,得出几点结论供各地实施规模以下工业抽样调查工作参考。
Individual industry occupies a large share in Zhejiang’s industrial economy and plays an important role. The statistical methods for calculating the total economic output of individual industries through sampling surveys have been proved to be scientific and effective. Due to the large number of sampling survey methods, it is necessary to adopt different sampling methods for individual industries in different regions and different economic structures. Choosing a scientific and reasonable sampling survey method can improve the sampling efficiency and data quality. On the contrary, it is less effective. Based on the characteristics of Zhejiang individual industry and relevant data of the sampling frame, this paper uses different sampling methods to simulate the application, analyzes and compares the features of various sampling methods, the number of samples and the distribution of samples, and draws several conclusions for the implementation of industrial sampling survey below the scale. Working reference.