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Data set “Corporate social responsibility, sustainable development, and fighting climate change: imitation modeling and neural network analysis in regions of the world – 2020”

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Climate change is a common problem of all humankind, which always existed but became especially important due to a range of reasons connected to high economic activities and technological progress. Firstly, over the whole history of life on the Earth and up until the First Industrial Revolution, which started in the 18 th century, climate change was predetermines by the natural processes. Industrial revolutions, which replaced each other, caused the artificial reasons of climate change.

Industrial production and consumption of its products led to thinning of the ozone layer, large dump sites (with a lot of products with large decomposition periods – e.g., polyethylene), and ecological disasters (e.g., oil leaks, usage of nuclear weapon, and atomic power stations accidents). This resulted in change of the Earth's polarity, global warming, decrease of biodiversity, critical depletion of resources, and aggravation of environment for human life. While natural factors cannot be controlled, artificial factors, which are created by a human, could and should be controlled for fighting climate change, preventing the depletion of natural resources, and restoring and supporting favorable conditions for life.

Secondly, recently climate change became especially vivid and led to clear negative consequences. Melting of glaciers became a reality, causing the risk of flooding of continents and defrosting of historical viruses, which could cause new global pandemics. Growth of air temperature makes new territory unfit for agriculture. The level of environment pollution has reached a critical point and requires mandatory regulation.

Thirdly, the opportunities that appeared due to dissemination of the leading technologies allow for significant progress in fighting climate change. In 2015, adoption of the new goals of sustainable development (successors of the millennium development goals) against the background of the Fourth Industrial Revolution reflected the current problems of the humankind and set achievable tasks before people. Thus, it is possible to expect that the sustainable development goals will be fully achieved by 2030.

Thus, it is necessary to take unprecedented measures for fighting climate change. An important role in this process belongs to information support for the regulatory measures of national governments and international organizations. Manifestations, factors, and consequences of climate change are shown in detail in the UN Sustainable Development Report, the World Bank data base on climate change, OECD analytics on Green growth and eco-innovation, and statistical data bases of various international organizations, among which are Dual Citizen and New Economics Foundation.

At the same time, the practices of fighting climate change are not sufficiently covered in the existing statistical data bases. Most of them focus on the practices of state regulation, which are brought down to implementation of ecological standards and financing of measures in the sphere of environment protection. A lot of covered practices cannot be measured and are brought down to qualitative description, which complicates conducting quantitative studies and forming an evidential basis of scientific works on the topic of sustainable development and fighting climate change.

A vivid example of filling the gaps in statistics is data set “European eco-innovation scoreboard interactive tool” of the European Commission. It contains detailed data on the topic of eco-innovations, “green” investments, eco-standardization and its observation at European companies, eco-innovation scientific activities (R&D), and effectiveness of using resources in the activities of entrepreneurship and social results. The data for 2010-2018 are available only for 28 countries of the EU, which allows only for narrow research, without the possibility of obtaining results on the global economy and inter-regional comparisons at the global level.

In order to solve the above problem, which consists in the fragmentary character and deficit of factual data on the global economy, the Institute of Scientific Communications created a data set, which covers all practices of provision of sustainable development and fighting climate change, which are predetermined by state regulation and market self-regulation. Special attention is paid to a new practice – corporate social responsibility, one of which directions if ecological responsibility as socially important activities.

The data set contains the following indicators on the implemented practices of corporate social responsibility, sustainable development, and fighting climate change (the higher the indicators' values, the better – unless otherwise specified):

1. Sustainable development and fighting climate change:

•  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);

•  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;

•  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;

•  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;

•  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;

•  Sustainable Development Index. This indicator is calculated by the UN and shows achievement of the sustainable development goals. The indicator for 2016-2019 is available.

2. State regulation of corporate social and ecological responsibility:

•  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;

•  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;

•  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.

3. Market self-management of corporate social and ecological responsibility:

•  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;

•  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;

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

•  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.

Advantages of the data set of the ISC :

•  Consistency and authenticity: collection and systematization of the main statistical data in the data set, as well as their analysis with application of the proprietary methodology of calculation of the index of corporate fight against climate change , which allows determining the contribution of corporate social and ecological responsibility into provision of sustainable development in countries of the world and performing international comparisons;

•  Topicality and representativeness: the data set contains the latest data, which form the basis of empirical studies in 2020;

•  Reliability and objectivity: the data set contains the statistics of the respectable sources of statistical and expert & analytical data on the topic of social entrepreneurship – namely, the World Bank , Visual Capitalist, Numbeo, and the UN (UNDP);

•  Informative value: the data set presents the current international statistics in the Russian language;

•  Clarity of the structure: in order to make the work with the data set simple, quick, and convenient for users, it consists of thematic parts;

•  Templates: the data set offers two templates of data: countries of G7 (developed) and countries of BRICS (developing), countries of the CIS, countries of the EAEU, geographical templates of regions of the world, and templates of categories of countries that are distinguished by the ISC by the criterion of sustainable development and fighting climate change – which allows for quick selection of the necessary data for economic experiments, aimed at comparison of countries of different thematic categories in real time;

•  Import of data: the data set allows selecting the necessary information and importing it in Microsoft Excel for further analytics;

•  Interactivity: the data set allows sorting and combining various data, unifying them in the general data array in the way that is required by each user;

•  Ranking: the data has been used for compiling a ranking of sustainable development and fighting climate change based on corporate social and ecological responsibility in countries of the world in 2020;

•  Blockchain principle: firstly, the data are structured logically according to the blockchain principle; secondly, the data set allows sharing, changing, and processing information as per users' queries'; the initial data remain unchanged, which is very convenient and secure;

•  Imitation modeling and neural network analysis: the data models the ratio of the regulatory and market factors in provision of corporate social and ecological responsibility, achievement of sustainable development, and fighting climate changes in geographical regions of the world in 2020, which allows for thorough research on the topic of the data set in view of the specific features of the regional economy. The results of modeling are shown in the form of a cognitive map.

The data has been developed at the Chair “Economic policy and public-private partnership” of Moscow State Institute of International Relations (MGIMO). Authors of the dataset: Elena B. Zavyalova (Ph.D., associate professor, head of the Chair), Tatyana G. Krotova (expert of the Center for Applied Research), and Elena G. Popkova (professor, doctor of economics, leading researcher of the Center for Applied Research).

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Datset ISC

Dataset “Big Data of the Modern Global Economy: Digital Platform for Data Mining – 2020”

The dataset contains indicators for the most relevant lines of economic research: industry 4.0, knowledge economy, economic growth and sustainable development. The values of indicators in the countries of the world for 2019 are given, forecasts of indicators for 2020-2024 are compiled. The dataset generates Big Data of the modern global economy and constitutes a digital platform for data mining. Author of the dataset: doctor of economics, professor E.G. Popkova

DataSet “Interactive Statistics and Intelligent Analytics of the Balanced State of the Regional Economy of Russia in Terms of Big Data and Blockchain – 2020”

The dataset contains statistics on the topic of balancing the Russian regional economy for 2005-2019 and forecast for 2020-2024. It reflects the level and potential of the socio-economic development of Russian regions, presents their “funnel of backwardness” calculated according to the author’s method of doctor of economics, professor E.G. Popkova. The matrix “TRMS” and the rating of socio-economic development of the regions are compiled. An interactive map of the regions and federal districts of Russia is presented, it is possible to automatically build blockchain polygons of their socio-economic development. Author of the data set: doctor of economics, professor E.G. Popkova

Dataset “Social Entrepreneurship in the World Economy: a Path from Virtual Scores to Big Data – 2020”

The dataset contains statistics on the topic of the socially responsible business and its evaluation using a specifically developed index. The values ​​of indicators of social responsibility of the business and indicators of non-profit activities of the business in 2020 have been presented. A rating of the socially responsible business in the countries of the world in 2020 has been compiled. The dataset allows creating and visualizing interactive profiles of countries all over the world based on the level of development of the socially responsible business. Authors of the dataset: Doctor of Economics, Professor Elena G., Doctor of Economics, Professor Bruno S. Sergi.

DataSet “Epidemics and Pandemics: Big Data for the Scientific Analytics of the Dynamics of Infectious Diseases throughout the World and their Consequences”

The dataset integrates all relevant statistics on the topic of infectious diseases and their consequences. It gives consideration to the temporal dynamics of exacerbation of all infectious diseases distinguished by the World Health Organization throughout the world (from earlier than 1960 till 2020), as well as key indicators of the global economy based on data from the World Bank (for 1960-2018) and the International Monetary Fund (forecasts for 2019-2020). Firstly, the ordered data on the topic of infectious diseases in the world are presented, secondly, countrywide statistics on the incidence rate of infections that are most relevant today, and thirdly, statistics on the key indicators of the economy and health care, statistics on the key indicators of the potential economic impact of epidemics and pandemics, as well as countrywide and worldwide statistics on preparedness for epidemics and pandemics. COVID- 2019 incidence patterns have been made for various countries of the world. The opportunity was provided to automatically create and visualize virtual profiles of countries against the background of the COVID-2019 pandemic in 2020 The ranking of countries against the background of the COVID-2019 pandemic in 2020 was made;The part of the reported study written by Agnessa O. Inshakova was performed by a grant from the Russian Science Foundation (Grant No. 20-18-00314). Author of the dataset: doctor of economics, professor E.G. Popkova

Data set “Corporate social responsibility, sustainable development, and fighting climate change: imitation modeling and neural network analysis in regions of the world – 2020”

The dataset contains the indicators on the implemented practices of corporate social responsibility, sustainable development, and fighting climate changes (2020). The index of corporate fight against climate change is provided. The models of categories of countries by the criterion of sustainable development and fighting climate change are presented. A sustainable development ranking and fighting climate changes ranking are compiled based on corporate social and ecological responsibility in countries of the world in 2020 The cognitive map shows the results of imitation modeling and neural network analysis of the ratio of regulatory and market factors in provision of corporate and ecological responsibility, achievement of sustainable development, and fighting climate changes in geographical regions of the world in 2020 The data has been developed at the Chair “Economic policy and public-private partnership” of Moscow State Institute of International Relations (MGIMO). Authors of the dataset: Elena B. Zavyalova (Ph.D., associate professor, head of the Chair), Tatyana G. Krotova (expert of the Center for Applied Research), and Elena G. Popkova (professor, doctor of economics, leading researcher of the Center for Applied Research).

Dataset “Humanization of economic growth in the global economy: Big Data and digital modeling – 2020”

The data set was developed by Elena G. Popkova, D.Sc. Economics, Professor, President of the Institute of Scientific Communications and by Natalya N. Chubaeva, post-graduate student of MGIMO University

Dataset “Big Data for digital monitoring of biodiversity, agriculture and food security – 2020”

The dataset includes biodiversity indicators from the perspective of conservation of terrestrial ecosystems and marine ecosystems based on the data from the UN for 2015-2019, agriculture based on the data from the World Bank for 2017- 2018, and food security based on the data from The Economist Intelligence Unit Limited for 2019 The proprietary methodology was used to classify and make the models of countries according to the criterion of conservation of biodiversity, agricultural development, and food security; in addition, the wealth index of the animal and plant world was calculated, and the ranking of countries of the world was made according to the value of this index in 2020 The dataset makes it possible to carry out digital monitoring of biodiversity, agriculture and food security across the world with automatic construction of graphs. Author of the dataset: Doctor of Economics, Professor Elena G. Popkova.

Dataset “COVID-19 and the 2020 Crisis: Healthcare System Capabilities and Ramifications for the Economy and Business all Over the World”

The dataset includes the indicators of the COVID-19 pandemic according to the World Health Organization and the World Health Map, measures to control the COVID-19 virus threat, as well as ramifications of the COVID-19 crisis for the economy and business according to Statista. All the data are up- to-date as of the second trimester of 2020 The proprietary methodology has been used to classify and create country profiles according to the criterion of susceptibility to the COVID-19 crisis, the COVID-19 crisis index has been calculated, and the global ranking of countries across the world from the perspective of their situation in the context of the COVID-19 crisis. The dataset provides an opportunity to perform automatic ranking according to the criterion of activity in terms of measures taken to control COVID-19 in countries across the world, as well as to visualize the results in the form of a polygon of factors of elimination of the pandemic. Author: Prof. Elena G. Popkova.

Public repository for datasets

Data set of tension of the global oil market under the influence of the COVID-19 pandemic in 2020 Update 10.10.2020 Download file Data set of fluctuation of currency markets during the COVID-19 pandemic in 2020 Update 12.10.2020 Download file Dataset on Development of IT Companies in Russia Amid the COVID-19 Crisis Update 14.10.2020 Download file

         Вятский государственный университет Ставропольский государственный аграрный университет