The "Economic Strategies" journal

#2. 2025




Study on the spatial effect of high-quality development of China’s energy industry on economic growth. Part 1

DOI: 10.33917/mic-2.121.2025.106-110

The energy system is a complex multi-dimensional and multi-criteria optimization system, and the energy development levels in different regions and at different stages of development are different. The Development and Reform Commission of China and the Energy Administration in the «Strategy for Energy Production and Revolution (2016–2030)» proposed that China’s inter-regional energy transformation should be based on security and focus on high-quality development, so as to promote the spatial effect of energy development on economic growth. This paper selects data from 30 provinces in China from 2000 to 2022, and uses Moran’s index and spatial Durbin’s error model to study the impact and spatial effect of China’s energy industry development on economic growth.

References:

1. Tobler W.R. A computer movie simulating urban growth in the Detroit region. Economic geography. 1970;46:234-240.

2. Cressie N. Statistics for spatial data. John Wiley & Sons. 2015. pp. 633-649.

3. LeSage J., Pace R.K. Introduction to spatial econometrics. Chapman and Hall, 2009.

4. Elhorst J.P. Spatial econometrics: from cross-sectional data to spatial panels. Heidelberg: Springer, 2014. 119 p.

5. Demidova O.A. Spatial aspects of wage curve estimation in Russia / O.A. Demidova, E.A. Timofeeva. Journal of the New Economic Association. 2021; 3(51):69-101.

6. Fingleton B. Estimates of time to economic convergence: an analysis of regions of the European Union. International regional science review. 1999;22(1):5-34.

7. Rey S.J., Montouri B.D. US regional income convergence: a spatial econometric perspective. Regional studies. 1999;33(2):143-156.

8. Guo Shouting, Jin Zhibo. Research on the spatial spillover effect of digital inclusive finance on regional industrial structure upgrading. Economic Perspectives. 2022;6:77-87.

9. Li Jiang, Wu Yuming. A review of cutting-edge theories, methods and applications of spatial econometrics. Contemporary Economic Management. 2024;06:30-41.

10. Anselin L. Lagrange multiplier test diagnostics for spatial dependence and spatial heterogeneity. Geographical analysis. 1988;20(1):1-17.

11. Su Yi, Lin Zhouzhou. Research on the spatial effect and influencing factors of regional innovation activities. Journal of Quantitative and Technical Economics. 2017;11:63-80.

12. Tang Baojun, Wu Yun, Wang Chongzhou, Zou Ying. Research on Provincial Energy High-quality Development Index (2012-2022). Journal of Beijing Institute of Technology (Social Sciences Edition). 2023;02:17-23.

Environmental and economic aspects of the production of «green» methanol in oil and gas fields

DOI: 10.33917/mic-2.121.2025.111-117

The article discusses the process of methanol production from hydrogen (H2) and carbon dioxide (СО₂) as a promising direction in the field of gas chemistry. Methanol, which is the most common inhibitor of the formation of gas hydrates, can be synthesized from CO₂. The paper describes in detail the main stages of the process, discusses modern technological solutions such as the use of «green» hydrogen, and shows the economic and environmental aspects of production.

References:

Karasevich V.A. Fundamentals of hydrogen energy: Textbook. Moscow: Publishing Center of Gubkin Russian State University of Oil and Gas (NIU), 2023. 100 p.

2. LUKOIL–West Siberia LLC.  URL: https://zs.lukoil.ru/ru/About/Structure/Yamalneftegaz

3. Prospects for the use of a carbon dioxide capture unit at the branches of PJSC Mosenergo / S.A. Petelin, A.N. Vivchar, P.V. Bubley, V.A. Serdyukov, O.Yu. Sigitov, 2022. 32 p.

 4. Noerma J. Azhari, Denanti Erika, St. Mardiana, Thalabul Ilmi, Melia L. Gunawan, I. G. B. N. Makertihartha, Grandprix T. M. Kadja. Methanol synthesis from CO2: A mechanical overview. Results in Engineering, 2022.

5. The wind power. URL: https://www.thewindpower.net/turbine_en_460_unison_u57.php

Digital technologies in social services to the population: possibilities and limitations

DOI: 10.33917/mic-2.121.2025.118-126

The article presents the main opportunities that digital technologies create in the social sphere. The author illustrates what opportunities digital transformation creates in this area: many processes can be automated, citizens can receive social services online without visiting government agencies Transparency and control over the provision of social services is increased, organizations providing social services can reduce costs by introducing new technologies. At the same time, there are a number of barriers to the implementation of digital technologies in this area. This article analyzes the main ones: digital inequality, lack of necessary infrastructure, financial constraints, digital skills of employees, the necessary regulatory framework has not been created. The use of digital technologies in social support of the population creates many opportunities, but for successful digital transformation of this sphere it is necessary to take into account all the limitations characteristic of the social sphere.

References:

1. Shah N. et al. The role of digital technology and digital innovation towards firm performance in a digital economy. Kybernetes. 2024;53(2):620-644.

2. Popov E.V., Semyachkov K.A. Instrumentation for the development of digital technologies in the public sector. Regional Economy: Theory and Practice. 2018;16(7 (454)):1320-1337.

3. Smotritskaya I.I. Public administration in the context of digital economy development: strategic challenges and risks. STAGE: economic theory, analysis, practice. 2018;4:60-72.

4. Milakovich M.E. Digital governance: New technologies for improving public service and participation. Routledge, 2012.

5. West D.M. Digital government: Technology and public sector performance. Princeton University Press, 2005.

6. Savaget P., Chiarini T., & Evans S. Empowering political participation through artificial intelligence. Science and Public Policy, 2018.

7. Afanasyeva A.S. E-government capabilities in Singapore. Theory and practice of social development. 2015;20:174-176.

8. Shakhabov I.V., Melnikov Yu.Yu., Smyshlyaev A.V. Features of the development of digital technologies in healthcare in the context of the COVID-19 pandemic. Scientific review. Medical sciences. 2020;6:66-71.

9. Senbekov M. et al. The recent progress and applications of digital technologies in healthcare: a review. International journal of telemedicine and applications. 2020;1.

10. Mitchell M., Kan L. Digital technology and the future of health systems. Health Systems & Reform. 2019;5(2):113-120.

11. Haleem A. et al. Understanding the role of digital technologies in education: a review. Sustainable operations and computers. 2022;3:275-285.

12. Timotheou S. et al. Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review. Education and information technologies. 2023;28(6):6695-6726.

13. Di Pietro, G., Biagi F., Costa P., Karpiński Z., & Mazza J. The likely impact of COVID-19 on education: Reflections based on the existing literature and recent international datasets. 2020. Vol.30275.

Problems of global economic development in 2024–2026

According to the IMF, the US GDP growth rate in 2025 will decrease to 1,6% with the forecast for US GDP growth in 2024 being 2,1%. Our article [1] provides an analysis of «Black Monday» on August 5, 2024, which marked the beginning of the global financial crisis. In this article, we will outline the further course of this crisis. In Russia, GDP growth for the first half of 2024 was 4,6%, for 2024 – 4,1%. The forecast for real GDP for the world was 3,2% in 2024 and, according to the IMF, the Ministry of Economic Development of the Russian Federation gave a conservative scenario, according to which the growth of Russian GDP in 2025 will be 1,7%, inflation 3,7% (Kommersant, 09.14.2024, p. 19).

References:

1. Kuzovkin A.I., Stakun A.V. Forecast of the dynamics of global economic development for 2024–2025. Microeconomics. 2024;4:27–38.