کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
5741595 1617118 2018 5 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله
ReviewEcological environmental early-warning model for strategic emerging industries in China based on logistic regression
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
ReviewEcological environmental early-warning model for strategic emerging industries in China based on logistic regression
چکیده انگلیسی


- The application process of Logistic regression early-warning model.
- The normal distribution tests and factor analysis are made.
- The construction of Logistic regression monitoring model.
- Test of ecological environmental monitoring model.

Ecological environmental early-warning can make timely warning to predict the ecosystem degradation and the deterioration of environmental quality caused by industry development activities. The sustainable development of strategic emerging industries is taken as a starting point, this paper analyzes the impact of industrial activities on the ecological environment, and constructs the ecological environmental early-warning indicator system. This paper defines the research objects, and respectively selects sixty listed companies as the training samples and the testing samples. By the normal distribution tests and the factor analysis, five indicators are chosen. The Logistic regression early-warning model is constructed by two indicators which pass the significance test. Finally, the results of empirical analysis show that the early-warning model can provide an ideal warning for ecological environmental position, and can give an effective judgment on ecological environmental problems. The research can provide a certain basis for the sustainable coordination development between strategic emerging industries and ecological environment.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Indicators - Volume 84, January 2018, Pages 748-752
نویسندگان
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