Modeling the effects of the sustainable accession of the republic of Belarus to the shanghai cooperation organization

Igor A. Maksimtsev ,Konstantin B. Kostin ,Yulia V. Malevich ,Dmitriy S. Goncharov

doi:10.24294/jipd10117

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Modeling the effects of the sustainable accession of the republic of Belarus to the shanghai cooperation organization

Igor A. Maksimtsev

Konstantin B. Kostin

Yulia V. Malevich

Dmitriy S. Goncharov

Journal of Infrastructure Policy and Development 2024, 8(15), 10117; https://doi.org/10.24294/jipd10117

Submitted：06 Nov 2024

Accepted：22 Nov 2024

Published：11 Dec 2024

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Abstract

The article investigates trade flows between the Shanghai Cooperation Organization (SCO) member-states and Belarus before the upcoming Belarus’ joining the organization. The export flows of the countries are modeled using a power function based on the time data. The results of the qualitative and quantitative analysis of foreign trade between the organization and the Republic of Belarus are presented, as well as the quantitative forecast of the prospects open to Belarus in connection with its joining the organization based on three original scenarios using econometric models. The results of the study show that Belarus has certain promising sectors of foreign economic activity, which can contribute to an increase in income from trade. It was found that the integration of the country will have a positive effect on increasing the volume of trade turnover with the participating countries, while in order to maintain sustainable economic growth of the country, domestic development of production should remain a priority, as evidenced by the obtained parameter estimates for the factors. An assessment of potential economic effects can be used to make a decision on whether a country should join an international organization. In particular, based on the assessments in our study in trade with Russia the expected increase in Belarus exports upon joining the Shanghai Cooperation Organization will constitute an increase of nearly 5%, exports to Kazakhstan are expected to increase by almost 75%, and to India and China by almost 90%. In the context of reshaping of international associations and organizations, the problems and issues raised in the study become even more relevant.

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Adeniran, A. O., Muraina, J. M., Ilugbami, J. O., & Adeniran, A. A. 2023. Government policy: meaning, types, manifestations, theories, and policy cycles. Insights into Regional Development, 5(2), 83-99. https://doi.org/10.9770/ird.2023.5.2(6

Bochenina, M. V. 2020. Gravitational approach to modeling the mortgage market in Russia. Data Management in Economics, 15, 125-135, doi:10.21686/2500-3925-2018-3-59-66.

Bochenina, M. V. 2021. Using the method of cointegration of structural data in the analysis of the residential real estate market. Questions of statistics, 28, 79-85, doi: 10.34023/2313-6383-2021-28-5-79-85.

Data on India’s trading partners. Available online: https://tradestat.commerce.gov.in/eidb/default.asp (accessed on 17 May 2024).

Data on Pakistan’s foreign trade. Available online: https://www.sbp.org.pk/ecodata/index2.asp (accessed on 17 May 2024).

Data on Tajikistan’s foreign trade. Available online: https://tajtrade.tj/menu/28?l=ru (accessed on 30 April 2024).

Data on trade between the EAEU countries. Available online: https://eec.eaeunion.org/comission/department/dep_stat/tradestat/tables/ (accessed on 17 May 2024).

Data on Uzbekistan’s foreign trade. Available online: https://stat.uz/ru/ofitsialnaya-statistika/merchandise-trade (accessed on 17 May 2024).

Dickey DA, Fuller WA 1981. Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica 49:1057–1072. doi:10.2307/1912517

Drobot, E.V. 2022. The New World Economic Order in the post-pandemic period: The Rivalry between China and the USA. Economic relations 2022, 12, 51-68. doi: 10.18334/eo.12.1.113818.

Engle, R.F.; Granger, C.W.J. 1987. Co-Integration and Error Correction: Representation, Es-timation, and Testing. Econometrica, 55, 251–276.

Exports and imports between countries. Available online: https://santandertrade.com/en/portal/analyse-markets/import-export-flow (accessed on 17 May 2024).

Foreign trade data. Available online: https://wits.worldbank.org / (accessed on 17 May 2024).

Foreign trade statistics. Available online: https://www.statista.com/statistics/1087234/eaeu-trade-volume/ (accessed on 17 May 2024).

Fotheringham, A.S. 1983: A new set of spatial-interaction models: the theory of competing destinations. Environment and Planning A 15, 15–36

Gao, Q., Wang, Q. & Zhang, W. 2024 How business environment of countries along the Belt and Road impacts China’s OFDI efficiency: a stochastic frontier gravity model approach. Humanit Soc Sci Commun 11, 491. https://doi.org/10.1057/s41599-024-02994-7

Grega, M., & Nečas, P. 2022. Implementation of effective solutions to the crisis tasks and its regional management. Insights into Regional Development, 4(4), 21-35. https://doi.org/10.9770/ird.2022.4.4(2

Huseynova, S. Cointegration analysis of economic growth parameters between Russia and Azerbaijan. Sciences of Europe 2023, 110, 26-31, doi:10.5281/zenodo.7618240.

IMF data. Available online: https://www.imf.org/en/Data (accessed on 17 May 2024).

Import/export statistics of Pakistan. Available online: https://www.fbr.gov.pk/categ/imports-exports/51149/70850/%20131177 (accessed on 17 May 2024).

International trade data. Available online: https://trendeconomy.ru/data/commodity_h2 (accessed on 17 May 2024).

Jamieson, P., Porter, J. and Wilson, D. 1991. “A test of the computer simulation model arcwheat1 on wheat crops grown in New Zealand”, Field Crops Research, Vol. 27 No. 4, pp. 337-350, doi: 10.1016/0378-4290(91)90040-3.

Jin, Bingzi and Xiaojie Xu. 2024. Price forecasting through neural networks for crude oil, heating oil, and natural gas. Measurement: Energy: n. pag.

Jin, B., Xu, X. 2024. Forecasting wholesale prices of yellow corn through the Gaussian process regression. Neural Comput & Applic 36, 8693–8710. https://doi.org/10.1007/s00521-024-09531-2

Jin, B., Xu, X. 2024. Predictions of steel price indices through machine learning for the regional northeast Chinese market. Neural Comput & Applic 36, 20863–20882 (2024). https://doi.org/10.1007/s00521-024-10270-7

Kalistratova, A.T. 2021. Transatlantic Partnership: investment risks of the USA and China. Economic relations. 11, 121–138. doi: 10.18334/eo.11.1.111562.

Lien, D., Hung, PH. 2023. Whose trades contribute more to price discovery? Evidence from the Taiwan stock exchange. Rev Quant Finan Acc 61, 213–263. https://doi.org/10.1007/s11156-023-01150-7

Macroeconomic forecast of EDB 2023. Available online: https://eabr.org/analytics/ceg-quarterly-reviews/makroekonomicheskiy-prognoz-eabr-2023/ (accessed on 17 May 2024)

Maksimtsev, I. A.; Kostin, K. B.; Berezovskaya, A. A.; Onufrieva, O. A. 2022. Integration of countries into the world economy by improving the quality of training of specialists and highly qualified personnel in the digital environment. Saint Petersburg State University of Economics, Saint Petersburg, Russia, 2022; рр 10-15, ISBN 978-5-7310-5723-3

Malmierca-Ordoqui, M., Gil-Alana, L.A. & Monge, M. 2024. Fractional cointegration between energy imports to the EURO area and exchange rates to the US dollar. Empir Econ 66, 859–882. https://doi.org/10.1007/s00181-023-02468-w

Marto Sargento, A. 2007. Empirical Examination of the Gravity Model in two Different Contexts: Estimation and Explanation. Jahrbuch für Regionalwissenscha 27, 103–127. https://doi.org/10.1007/s10037-007-0013-8

Niu, J., Ma, C. & Chang, CP. 2023. The arbitrage strategy in the crude oil futures market of shanghai international energy exchange. Econ Change Restruct 56, 1201–1223. https://doi.org/10.1007/s10644-022-09468-3

Orudzhev, E. G.; Huseynova, S. 2020. Cointegration analysis of the mutual influence of the GDP of Azerbaijan, Russia, Belarus and Kazakhstan. Proceedings of the St. Petersburg State University of Economics, 124, 31-41.

Pandit, P., Sagar, A., Ghose, B. et al. 2024 Hybrid modeling approaches for agricultural commodity prices using CEEMDAN and time delay neural networks. Sci Rep 14, 26639. https://doi.org/10.1038/s41598-024-74503-4

Pasara, M.T., Dunga, S.H. 2023. Impact of Regional Trade Agreements on Economic Growth: An Econometric Analysis. In: Mhlanga, D., Ndhlovu, E. (eds). Post-Independence Development in Africa. Advances in African Economic, Social and Political Development. Springer, Cham. https://doi.org/10.1007/978-3-031-30541-2_6

Rosstat data. Available online: https://rosstat.gov.ru/statistics/accounts (accessed on 17.05.2024).

Shishkov, Yu.V. 2001. Integration processes on the threshold of the XXI century: Why the CIS countries are not integrating. III millennium: Moscow, Russia; ISBN 5-93632-003-0.

Statistical data of Belarus. Available online: http://dataportal.belstat.gov.by/AggregatedDb/SwtDashboard (accessed on 17 May 2024).

Statistical data of China. Available online: http://stats.customs.gov.cn/indexEn (accessed on 17 May 2024).

Statistical data of India. Available online: https://tradestat.commerce.gov.in/eidb/default.asp (accessed on 17 May 2024).

Statistical data of Kyrgyzstan. Available online: http://www.stat.kg/ru/statistics/vneshneekonomicheskaya-deyatelnost / (accessed on 17 May 2024).

Statistical data of Tajikistan. Available online: https://nbt.tj/ru/statistics/tavozuni-pardokhti-jt / (accessed on 17 May 2024).

Statistics of foreign trade of the Russian Federation. Available online: https://www.cbr.ru/statistics/macro_itm/ (accessed on 17 May 2024).

Statistics of Iran’s foreign trade. Available online: https://www.amar.org.ir/english/Statistics-by-Topic/Trade#2885193-statistical-survey (accessed on 17 May 2024).

Statistics of Kazakhstan’s foreign trade. Available online: https://stat.gov.kz/official (accessed on 17 May 2024).

Statistics of Pakistan’s foreign trade. Available online: https://www.pbs.gov.pk/trade-summary (accessed on 17 May 2024).

Tinbergen, J. 1962 Shaping the World Economy. Suggestions for an International Economic Policy. New York, USA: The Twentieth Century Fund, // American Journal of International Law – 2017 – №58(2). – С. 546-547. doi:10.2307/2196248

Tobisova, A., Seňová, A., & Rozenberg, R. 2023. Risk factors’ prediction model for the investment evaluation. Entrepreneurship and Sustainability Issues, 11(2), 153-168. https://doi.org/10.9770/jesi.2023.11.2(11

UN data. Available online: https://www.unep.org/publications-data (accessed on 17 May 2024).

Vasiľková, A. 2023. Role of ideology in social and political development (extremism and pacifism). Entrepreneurship and Sustainability Issues, 11(2), 138-152. https://doi.org/10.9770/jesi.2023.11.2(10

Vinokurov, E. Yu; Pelepas, E. V.; Tochinskaya, I. E. Quantitative analysis of the economic integration of the European Union and the Eurasian Economic Union: methodological approaches. Available online: https://vinokurov.info/wp-content/uploads/2019/12/report_23_ru.pdf (accessed on 17 May 2024).

World Bank data. Available online: https://datacatalog.worldbank.org/search?q=&sort=last (accessed on 15 May 2024).

WTO data. Available online: https://www.wto.org/english/res_e/statis_e/statis_e.htm (accessed on 15 May 2024).

Xu, X. 2018. Cointegration and price discovery in US corn cash and futures markets. Empir Econ 55, 1889–1923. https://doi.org/10.1007/s00181-017-1322-6

Xu Xiaojie, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August. doi: 10.1002/ajae.12041

Zibanani, K. International Trade and Economic Growth: A Cointegration Analysis for Botswana. The International Journal of Social Sciences and Humanities Invention 2022, 9, 7450-7458, doi:10.18535/ijsshi/v9i012.01.

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