Статьи

Relevance. Corruption remains a persistent issue in many countries, including Kazakhstan. By exploring the relationship between the socio-economic characteristics of specific regions and corruption, this research can provide a foundation for informed policy-making and targeted anti-corruption efforts and thus help mitigate its negative impact on regional development. Research Objective. The research aims to assess the impact of corruption on regional socio-economic development in Kazakhstan through the creation and application of a multifactor corruption index. Data and Methods. The study uses official statistical data on corruption offenses and regional socio-economic indicators, including industrial production, fixed asset investments, household expenditures, unemployment rates, and foreign trade volumes. A multifactor index methodology was employed, using Pearson correlation coefficients to calculate averaged absolute values of sub-indices for each indicator. Results. The study found strong correlations between corruption and socio-economic indicators in regions like East Kazakhstan, Abay, Akmola, and Kostanay. The economic structure of these regions plays a key role: East Kazakhstan and Akmola, with dominant mining industries, are more vulnerable to corruption due to public contracts and licensing. Kostanay’s agricultural sector, central to its economy, is prone to corruption in land allocation, subsidies, and procurement. The economic importance of these sectors amplifies the impact of corruption on development, strengthening the correlation. Conversely, regions with lower index values show weaker correlations in the analysis, likely due to economic diversity, incomplete data, or less effective governance mechanisms. Conclusions. The regional specificity of the interrelation between corruption and socio-economic development in Kazakhstan necessitates tailored approaches that consider the unique conditions of each region. These findings can be of interest to policymakers and other stakeholders. The proposed methodology allows for a more precise assessment of both hidden and visible corruption risks, highlighting critical areas for implementing effective anti-corruption measures.

Relevance. Technological sovereignty in the national economy cannot be achieved without a clear understanding of the state of regional industries, particularly their level of technological maturity. This crucial factor drives investment decisions and shapes regional development strategies. However, existing methods for assessing technological development often fail to account for industries’ reliance on foreign technologies and services. Research Objective. The study explores the concept of technological maturity in the context of managing regional industrial development, focusing on the case of regional industries in Russia. Data and Methods. To evaluate the technological maturity of regional industries, we propose an index derived from normalizing key indicators that capture the critical aspects of technological maturity. The normalized indicators are aggregated using the arithmetic mean. Correlation analysis was employed to identify factors influencing technological development. The study is based on official statistics from the Federal State Statistics Service (Rosstat) for 2022. Results. Technological maturity indices are calculated for Russian regions, identifying both strengths and weaknesses. Only nine regions have achieved a medium level of technological maturity, while most remain at low levels. Additionally, many regions leading in terms of technology are highly reliant on imported technologies and services, with minimal exports of domestically developed technologies. These results highlight the need for policy measures tailored to regions’ varying needs and levels of technological maturity. Conclusions The concept of technological maturity provides a strategic framework for regional industrial development that can enhance national economic competitiveness through both embracing modern technologies and ensuring technological independence. The technological maturity index provides a valuable tool for tracking key indicators of technological sovereignty in domestic industries and identifying investment priorities to strengthen it.

Relevance. The study of inclusive economic growth remains highly relevant as the concept of growth continues to evolve. Measuring and analysing its determinants offers opportunities to foster inclusive growth at both regional and national levels. Research Objective. This study analyses inclusive economic growth in East Java’s districts and cities from 2018-2022 by comparing two measurement models: the Social Mobility Curve (SMC), which focuses on income distribution and economic growth, and the Poverty Equivalent Growth Rate (PEGR), which incorporates poverty, inequality, and unemployment. Data and Method. Using data from Statistics Indonesia (BPS), the National Labour Force Survey (SAKERNAS), and the National Socioeconomic Survey (SUSENAS) for 2018-2022, this study applies the SMC and PEGR models and conducts panel data regression to analyse inclusive growth and its determinants. Results. The findings reveal that economic growth in East Java lacks inclusivity. Income distribution inequality persists across districts and cities, as shown by the SMC results. The PEGR model also indicates ongoing challenges in reducing poverty and unemployment inclusively. Key factors such as the share of manufacturing in GRDP and employment opportunities significantly impact inclusive growth. Conclusions. Encouraging investment growth can create a favourable business climate across all districts/cities, supporting a more equitable contribution to GRDP. As employment opportunities play a significant role in inclusive growth, boosting employment through investment can improve access to education and healthcare, while addressing unemployment. To combat inequality and poverty, the government must refine its data collection on the poor to better target beneficiaries.

Relevance. Local governments in both developed and developing countries act as a vital link between central governments and local communities. Central government funding transfers to local governments are often based on performance measures. In Ghana, the District Performance Assessment Tool (DPAT) has been utilized to evaluate local government performance since 2018, with a primary focus on improving service delivery to meet the needs of local residents. Research objective. This paper aims to analyze how the DPAT was conducted for the five selected local governments in the Central Region of Ghana from 2021 to 2022. Data and methods. The study employs a qualitative approach to the analysis of the primary data gathered from ten technical officers and 16 Assembly members, who served as key informants. A document review guide was also used to collect secondary data. Results. While the DPAT indicators aimed at assessing service delivery to communities, many were focused primarily on the internal operations of local governments. Although the DPAT represents an improvement over the District Development Facility’s Functional and Organizational Assessment Tool, the assessors did not interview Assembly members to verify the services delivered in the communities. Conclusions. The findings and methods of this study can inform analyses of local government performance in Ghana. It is recommended that DPAT assessors conduct field visits to interview Assembly members to enhance the assessment process. This study contributes to the understanding of financial resource allocation and service delivery in local governments.

Relevance. In the current economic climate, maintaining the integrity of regional economic space is crucial. This involves ensuring uniform socio-economic development across regions and promoting a high rate of technology transfer from the center to the periphery. Therefore, it is essential to identify sustainable points of spatial development that represent centers of power concentration and guide spatial transformation. Research objective. The study aims to assess the connectivity of the region’s economic space by measuring population mobility. This approach will help identify the centers of social and labor communications that represent sustainable points of spatial development. The focus of the study is on the municipal districts of Sverdlovsk region, which are key elements of its economic space. Data and methods. The study employed geoinformation analysis of origin-destination matrix of population flows in Sverdlovsk region (Russian Federation), provided by Russian mobile operators. Results. The paper presents the analysis of intracity and intercity population flows based on the average daily data of mobile operators for 2022. The intensity and diversification of population flows in the region’s municipal districts, reflecting the connectivity of its economic space, were estimated using geographic information systems and the Python programming language. The study revealed that Sverdlovsk region has a bicentric system of spatial interconnections, with two distinct centers of attraction: Ekaterinburg and Nizhny Tagil, with Ekaterinburg being the dominant center. Conclusions. The proposed classification of municipal districts by the level of their inclusion into the economic space of Sverdlovsk region illustrates that only 5% are characterized by intensive and diversified inter-territorial interaction, while 34% are characterized by low indicators of intensity and diversification of mobile population flows. The spatial structure of the municipalities in Sverdlovsk region, which are located in the zone of attraction to the agglomeration centers, will be maintained and reinforced.

Relevance. Ensuring equal access to resources is crucial for social development, especially in rural areas. Women in these regions face distinct challenges due to traditional lifestyles and cultural norms, impacting their access to education, healthcare, and economic opportunities. Addressing these challenges is vital for the overall development of rural communities. Research objective. This study aims to develop methodological approaches to assessing women’s access to resources in rural areas of Kazakhstan. Data and methods. Based on the investigation of methodological approaches, multinomial logistic regression analysis was proposed to assess the impact of regional differences on gender gaps in access to various resources. The study is based on qualitative data collected from May to June 2023 from a sociological survey conducted among women aged 18-60 in rural settlements of Kazakhstan. A total of 600 respondents were interviewed, and 542 of the respondents had completed questionnaires. This methodology enables the collection, analysis, and processing of primary data, aiding in the assessment of gender disparities in resource access. Results. The proposed methodology facilitated a thorough analysis of qualitative data, offering insights into the problem of gender disparities. Most respondents rated their access to social and economic resources as average, suggesting that while there are available resources, they might not fully meet rural women’s needs or expectations in terms of level or quality. Conclusions. Regions like Akmola, Atyrau, Mangystau, North Kazakhstan, Turkestan, and Zhambyl show significant disparities in resource access, indicating regional inequalities. Addressing this gap necessitates collaborative efforts between government and businesses to enhance resource availability and broaden opportunities for rural women.

Relevance. Uneven spatial development is a common challenge for all countries, driven by both subjective and objective factors. The issue lies not in regional disparities themselves but in their growing intensity. Amid crises and economic turbulence, it is crucial to have tools to assess the risks of increasing spatial unevenness and widening socio-economic disparities between regions. Research Objective. This study aims to develop and test a tool for estimating the risks of uneven spatial development in Russia’s macroregions and the growing differentiation of regions by socio-economic level, using the Urals-Siberian macroregion as a case study. Data and Methods. A two-stage approach is proposed to evaluate spatial development in terms of uniformity and regional differentiation by socio-economic level and growth rate. In the first stage, the probability of a socio-economic decline is estimated based on key indicators (risk factors) and their dynamic indices. In the second stage, the probability of an increasing variation coefficient within a macroregion, reflecting rising disparities in socio-economic development, is analyzed. A multifactor risk model is used for analysis. The study relies on data from the Federal State Statistics Service (Rosstat) covering the period from 2000 to 2022. Results. Applying this approach to the Urals-Siberian macroregion revealed persistent spatial unevenness throughout the study period, primarily due to the specialization of regions, which stabilizes their relative positions. However, during crises, spatial disparities tend to widen as regions demonstrate varying adaptive capacities and resilience - some not only recover but also improve their positions. Conclusion. The proposed tool assesses risks linked to uneven development and growing regional disparities, offering insights for sustainable macroregional strategies. The findings emphasize the need to consider regions’ specificities and adaptive capacities in spatial development policies.

Легенду о татарском хане и дочери царя Армении, произведшей на свет чудовище, которое в результате крещения превратилось в прекрасного младенца, что побудило хана принять христианство, включили в свое повествование многие европейские хронисты и историки. Эта легенда легла в основу известного английского рыцарского романа «Царь Тарса». Сюжет легенды слагается в основном из одних и тех же элементов. Однако в отдельных хрониках и летописях, а также в названном романе меняются их соотношение и комбинация, а порой имеют место выпадение одной из сюжетных линий или замена одного персонажа другим. Зачастую происходит приращение к сюжету, например, таких элементов, как взятие Иерусалима татарским ханом, изгнание сарацин из Иерусалима, взятие Алеппо, Дамаска и других городов объединенными войсками татар, царей Армении и Грузии. Что касается армянского следа этой легенды в европейской историко-литературной традиции, то между сюжетами первой ветви «Давида Сасунского» и циркулирующими на Западе легендами об истории дочери армянского царя, которую выдают замуж за иноверца, обнаруживаются явные параллели. В данной статье выявляются эти параллели, а также следы сходства с древнерусскими сказаниями.

He study aims to revisit the relationship between aviation pollution, tourism, and economic development through the lens of the Environmental Kuznets Curve (EKC), particularly at the regional level, using New Zealand as a case study. We are the first to estimate aviation pollution at regional airports in New Zealand and use them as proxy for the regional pollution in an EKC setting. Our findings provide evidence of an EKC at New Zealand regions, indicating that tourism and economic development contribute to the long-term regional environment improvement. This highlights the necessity for environment policy to be tailored at a regional level, rather than solely at the national scale. Additionally, our research introduces a novel approach to EKC studies by incorporating new pollution estimations, which enhances the understanding of regional environmental dynamics. Among others, we discovered that that the sustainable tourism policy has, and will, work well in New Zealand. This study underscores the importance of considering regional factors in environmental policymaking and offers insights that could inform future strategies for balancing economic growth with environmental sustainability.

The growing economic prominence of BRICS nations (Brazil, Russia, India, China, and South Africa) has attracted considerable attention to the macroeconomic dynamics driving their development. As these economies grow rapidly and become more integrated into global markets, it becomes increasingly difficult to balance economic growth, trade liberalization, and sustainable fiscal policies. Government size, a key factor in fiscal management, tends to increase with national income (as suggested by Wagner’s Law) and in response to trade openness (as outlined by the Compensation Hypothesis). Understanding these dynamics is crucial due to the unique fiscal pressures and global competitiveness faced by BRICS countries. This study investigates the validity of Wagner’s law and the Compensation Hypothesis in the context of BRICS. Using a panel nonlinear autoregressive distributed lag model on annual panel data from 1999 to 2023, our findings confirm Wagner’s law, showing a positive relationship between economic growth and government size. Additionally, the results support the Compensation Hypothesis, indicating that trade openness enhances government size. This study underscores the potential trade-offs between promoting economic growth and trade liberalization, as these strategies may inadvertently expand the government sector and affect fiscal stability. As BRICS economies continue to integrate into global markets, this research contributes to the discussion on Wagner’s law and trade openness, offering new insights into sustainable fiscal policies, government expenditure optimization, and the pursuit of global competitiveness and economic growth within the BRICS framework.

Megumi Saigo derived generalized fractional operators, involving Gauss hypergeometric function, having four special cases: Riemann-Liouville, Weyl, Erdely-Kober left and right sided fractional operators. Mridula Garg and Lata Chanchalani established q-analogues of Saigo fractional integral operators. Building upon this base, the current article aims to generalize Saigo integral operators as well their q-analogues. In addition, we obtain some new results involving extended Saigo integral operators and their q-extensions.

Innovation processes are strongly in uenced by changes in economic, political, technological and other external factors. For instance, economic instability and political uncertainty can both stimulate and limit innovative activity in organisations. Transmodern innovation is a concept that involves scienti c and technological advancements that may remain unutilised until favourable changes occur in technological or economic conditions. The purpose of this study is to develop a conceptual model for transmodern innovation that takes into account the dynamics of innovation, including the intensity, economic prerequisites, external changes and degree of innovation adaptation. This model will help organisations to better understand and respond to the complexities of the innovation process. The resulting model is a comprehensive tool for analysing changes in innovation activity and the external environment over di erent time phases, including the initial state (t0), the transition to new conditions (t1) and the nal state (tx). In this model, the ‘Final stage of tx’ block represents the nal stage, which allows us to draw conclusions about the success of adaptation and innovation development. This is the basis for formulating strategic conclusions and recommendations for future development.