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Dataset “Corporate social responsibility, sustainable development, and fighting climate change: imitation modeling and neural network analysis in regions of the world – 2022”

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1. Select groups

By criterion "By the indicator of the level of socio-economic development and integration"

By criterion "By geographic indicator"

By criterion "By the criterion of sustainable development and fighting climate change"

2. Please select "Countries"

You have not selected any group

3. Please select "Indicators"

Climate Index. This indicator is calculated by Numbeo within the Quality of Life Index and shows the scale of climate changes and the general state of the environment (the lower the indicator's value, the better). The data for 2016-2020 are available.

Industrial profile of economy. This indicator is calculated by the Institute of Scientific Communications based on the World Bank data; it shows the structure of the extracting (industry) and manufacturing (manufacturing) industries in the structure of GDP (the lower the indicator's value, the better). The data for 2019 are available.

Pollution Index. This indicator is calculated by Numbeo within the Quality of Life Index and shows the scale of environment pollution (the lower the indicator's value, the better). The data for 2016-2020 are available.

Total natural resources rent (% of GDP). It is calculated by the World Bank; it shows the share of natural resources extraction in the structure of GDP (the lower the indicator's value, the better). The d ata for 2017 are available.

Energy Trilemma Index. It is calculated by Visual Capitalist; it shows energy security, energy accessibility, and ecological sustainability and effectiveness of the energy sphere (the data for 2019 are available).

Energy efficiency regulation – original title is “ 1.24. Energy efficiency regulation”. It is calculated by the Global Economic Forum, is included in “ The Global Competitiveness Report 2019”, and reflects the intensity of the government measures on providing energy efficiency by regulation of entrepreneurship. The indicator for 2019 is available.

Environment-related treaties in force – original title is “1.26. Environment-related treaties in force”. It is calculated by t he Global Economic Forum, is included in “The Global Competitiveness Report 2019”, and shows the number of the existing standards on environment protection. The indicator for 2019 is available.

Renewable energy regulation - original title is “ 1.25. Renewable energy regulation”. It is calculated by th e Global Economic Forum, is included in “ The Global Competitiveness Report 2019”, and shows government requirements to circular use of energy in entrepreneurship. The indicator for 2019 is available.

Extent of market dominance - the original title is “7.02 Extent of market dominance”. It is calculated by t he Global Economic Forum, is included in “The Global Competitiveness Report 2019”, and shows the influence of competitive forces on the activities of entrepreneurship. The data for 2018-2019 are available.

Buyer sophistication – original title is “ 12.09 Buyer sophistication”. It is calculated by the Global Economic Forum, is included in “The Global Competitiveness Report 2019”, and reflects consumers' market power and the level of buyer sophistication. The data for 2018-2019 are available.

Entrepreneurial culture. This indicator is calculated by the Global Economic Forum, is included in “The Global Competitiveness Report 2019”, and shows susceptibility and inclination of entrepreneurship for changes, risk, and innovations. The data for 2018-2019 are available.

This indicator is calculated by the Global Economic Forum, is included in “The Global Competitiveness Report 2019”, and shows openness of customs borders.

This indicator is calculated by the Global Economic Forum.

4. Please select "Years"

5. Sample result:

You have not selected any metric for rows (Countries).
You have not selected any metrics for columns (Indicators).
You have not selected any metric for pages (Years).

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The data set is an original development and intellectual property of the MGIMO University and the Institute of Scientific Communications. All rights reserved. When using materials from the data set, please provide a link to it: Institute of Scientific Communications (2020).

DataSet “Corporate social responsibility, sustainable development, and fighting climate change: imitation modeling and neural network analysis in regions of the world – 2020”. https://www.archilab.online/en/data/corporate-social-responsibility