کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6597249 1423852 2018 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Data on empirically estimated corporate survival rate in Russia
ترجمه فارسی عنوان
داده های مربوط به میزان تجربی برآورد شده در بقاء شرکت ها در روسیه
کلمات کلیدی
بقای شرکت، طول عمر شرکت، نرخ مقاومت شرکت، چرخه زندگی، جمعیت شناسی تجاری،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی
The article presents data on the corporate survival rate in Russia in 1991-2014. The empirical survey was based on a random sample with the average number of non-repeated observations (number of companies) for the survey each year equal to 75,958 (24,236 minimum and 126,953 maximum). The actual limiting mean error ∆p was 2.24% with 99% integrity. The survey methodology was based on a cross joining of various formal periods in the corporate life cycles (legal and business), which makes it possible to talk about a conventionally active time life of companies' existence with a number of assumptions. The empirical survey values were grouped by Russian regions and industries according to the classifier and consolidated into a single database for analysing the corporate life cycle and their survival rate and searching for deviation dependencies in calculated parameters. Preliminary and incomplete figures were available in the paper entitled “Survival Rate and Lifecycle in Terms of Uncertainty: Review of Companies from Russia and Eastern Europe” (Kuzmin and Guseva, 2016) [3]. The further survey led to filtered processed data with clerical errors excluded. These particular values are available in the article. The survey intended to fill a fact-based gap in various fundamental surveys that involved matters of the corporate life cycle in Russia within the insufficient statistical framework. The data are of interest for an analysis of Russian entrepreneurship, assessment of the market development and incorporation risks in the current business environment. A further heuristic potential is achievable through an ability of forecasted changes in business demography and model building based on the representative data set.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Data in Brief - Volume 16, February 2018, Pages 850-864
نویسندگان
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