Indicators Of Economic Development Research Articles

The Influence of Digital Economic Growth and Productive Work Force Toward Human Development Index in Indonesia Viewed from a Maqashid Sharia Perspective

Introduction: Community productivity is critical in maintaining quality of life to avoid disasters. The use of digital technology in the economic aspect has also provided opportunities for people far from the market to earn income to meet their living needs. Objective: The research problem is formulated as follows: What is the influence of digital economic growth and productive labor on the Human Development Index in Indonesia in 2018-2022, both partially and simultaneously, and how is this viewed from a maqasid syariah perspective?Method: This research is presented as five-year time series data and analyzed using quantitative descriptive methods and multiple linear regression analysis, using Eviews 10 as an analytical tool. The sampling technique used was purposive sampling, with sample criteria in the form of digital economic growth, productive workforce, and data during the 2018-2022 period. Result: The digital economic growth variable partially has a negative and insignificant effect on the Human Development Index. Meanwhile, the productive labor variable positively and significantly affects the Human Development Index. Simultaneously, the growth of the digital economy and productive workforce has had a positive and significant effect on the Human Development Index in Indonesia in 2018-2022. From a maqasid syariah perspective, digital economic activities are permitted if no arguments prohibit them. Implication: This research provides valuable insights that can influence how we view and approach digital economic growth and productive labor in Indonesia's human development context. By considering these impacts, various parties can optimize their strategies to advance people's quality of life more effectively.

Prediction of provincial Digital Economy Development Index based on grey combination forecasting model

PurposeIn many instances, the data exhibits periodic and trend characteristics. However, indices like the Digital Economy Development Index (DEDI), which pertains to science, technology, policy and economy, may occasionally display erratic behaviors due to external influences. Thus, to address the unique attributes of the digital economy, this study integrates the principle of information prioritization with nonlinear processing techniques to accurately forecast rapid and anomalous data.Design/methodology/approachThe proposed method utilizes the new information priority GM(1,1) model alongside an optimized BP neural network model achieved through the gradient descent technique (GD-BP). Initially, the provincial Digital Economic Development Index (DEDI) is derived using the entropy weight approach. Subsequently, the original GM(1,1) time response equation undergoes alteration of the initial value, and the time parameter is fine-tuned using Particle Swarm Optimization (PSO). Next, the GD-BP model addresses the residual error. Ultimately, the prediction outcome of the grey combination forecasting model (GCFM) is derived by merging the findings from both the NIPGM(1,1) model and the GD-BP approach.FindingsUsing the DEDI of Jiangsu Province as a case study, researchers demonstrate the effectiveness of the grey combination forecasting model. This model achieves a mean absolute percentage error of 0.33%, outperforming other forecasting methods.Research limitations/implicationsFirst of all, due to the limited data access, it is impossible to obtain a more comprehensive dataset related to the DEDI of Jiangsu Province. Secondly, according to the test results of the GCFM from 2011 to 2020 and the forecasting results from 2021 to 2023, it can be seen that the results of the GCFM are consistent with the actual development situation, but it cannot guarantee the correctness of the long-term forecasting, so the combination forecasting model is only suitable for short-term forecasting.Originality/valueThis article proposes a grey combination prediction model based on the principles of new information priority and nonlinear processing.

Role of Remittance in Economic Development of Nepal

The aim of this research paper is to analyze the impact of remittances in economic development of the country. The study is quantitative in nature and examines the impact of remittances on two economic development indicators: nominal Gross Domestic Product (GDP) and Per Capita GDP (PCI). This study employs both descriptive analysis and a simple linear regression model. The contribution of remittances to GDP was 10.28 percent in 2001/02 and increased to 22.68 percent in 2022/23. The impact of remittances has been seen positive on both indicators, GDP and PCI, but it is comparatively lower for PCI. The findings show that the relationship between remittances and GDP, as well as between remittances and PCI, is significant. This means remittances have been playing vital role in improving economic well-being and reducing poverty.

A multi-index comprehensive evaluation method for assessing the water use balance between economic society and ecology considering efficiency-development-health-harmony.

Quantitative assessment of the water use balance between economic society and ecology (EEWB) is the basis for coordinating the competitive relationship of water use between human activity and ecological requirements and. It is of great significance for optimizing the water resources carrying capacity and achieving a healthy regional water balance. Based on the concept of harmonious balance, this paper puts forward the definition and connotation of EEWB regarding the competition in water use between economic society and ecology. And, a novel framework for assessing the EEWB is proposed. It has four aspects relating to water resources, economic society, ecology, and human-water relationship. Linked to these aspects the Data Envelopment Analysis (DEA) technique, Water Ecological Footprint (WEF) model, InVEST model and indicators system of human-water relationship are used to establish a water resources efficiency index (IEEWB-W), economic society high-quality development index (IEEWB-ES), ecology health index (IEEWB-E), harmony index of human-water relationship (IEEWB-H). The four indices were then integrated into the water use balance between economic society and ecology index (IEEWB) with Euclidean distance, thus forming the EEWB quantification method system. Finally, the temporal and spatial characteristics of EEWB during 2010-2022 was diagnosed in Henan Province and cities of China. Results reveal that: (1) The water resources utilization efficiency exhibit a changing trend of initial decrease followed by subsequent increase; (2) Southern cities in Henan Province have a higher economic society development level compared to northern cities; (3) IEEWB-E in Henan Province is below 0.60, indicating that the regional ecology health remains consistently vulnerable; (4) IEEWB-H in Henan Province shows an increasing trend, indicating that a gradual improvement and overall upward development in the human-water relationship; (5) IEEWB multi-year average was within [0.53, 0.65] in Henan Province, indicating a state of Proximity imbalance. The low level of ecological health is the primary influencing factor. These findings will contribute to a better understanding of the water use balance between economic society and ecology and provide scientific reference for achieving a healthy regional water balance.

PUBLIC-PRIVATE PARTNERSHIP IN UKRAINE: DEVELOPMENT PROSPECTS AND IMPACT ON INFRASTRUCTURE REHABILITATION

In Ukraine, the war has increased the need for urgent infrastructure restoration. Destroyed facilities need to be modernized for the stability of the economy. Public-private partnerships effectively attract investments by mobilizing resources and distributing risks, which increases management efficiency. However, the implementation of public-private partnerships faces challenges, such as an imperfect regulatory framework and corruption, which need to be addressed for further development. The purpose of the study is to explore the possibilities of developing public-private partnerships in Ukraine, taking into account the socio-economic context and the needs of the population. The object of the study is the mechanisms of interaction between the public and private sectors and their impact on the restoration of Ukraine’s infrastructure. The study is based on scientific works, statistical data and regulations. Methods used: morphological, empirical, statistical, analysis and synthesis, structural and logical analysis. Theoretical approaches to the interpretation of the concepts of “public-private partnership” and “public-private partnership” are generalized, and common and distinctive features are outlined. The peculiarities of the legislative and regulatory framework of public-private partnership in Ukraine are determined. The key advantages and disadvantages of the legislative and regulatory framework for public-private partnerships in Ukraine are outlined. The main indicators of economic development of public-private partnerships in Ukraine for 1990-2023 are presented. The main stages of public-private partnership formation in the time period of 2015-2024 are identified and characterized. The study recommends the main factors of impact of public-private partnerships for the restoration of Ukraine’s infrastructure, including attracting private investment, effective project management, risk sharing, innovation, job creation, improving the quality of services, and attracting international partners.

Analysis of the dynamics of development of greenhouse vegetables in Russia during the pre-sanctions and sanctions periods

This article examines the dynamics of acreage, the main elements of production costs, labor costs per unit of production, output and profitability of products as key indicators of the economic development of greenhouse vegetables. The analysis of causal relationships of changes and interpretation of indicators of economic development of the sub-sector is carried out. The main challenges and prospects for the development of greenhouse vegetables industry have been studied, including the dependence of the industry on foreign supplies of components and seeds, the need to expand the range of products and strengthen the export potential of the industry. The results of the study allowed us to conclude that the vegetable growing of greenhouses (horticulture) in Russia has made a significant leap in its development, over the period 2006–2022 significantly increased production volumes and, in general, judging by key economic indicators of development, overcomes sanctions pressure, expressed primarily in the rise in the cost of production and sales logistics.

The impact of geopolitical processes in Bosnia and Herzegovina on urban development and cultural identity

The historical-geographical development of Bosnia and Herzegovina (BH) in the area of the fusion of Western and Eastern Christian civilizations and the Orient resulted in ethnic and religious heterogeneity, occasional political crises and ethnic conflicts that shaped the cultural identity and character of the entire development. BH was separated from the Yugoslav community in the conditions of the civil war. After the war in 1995, a complex administrative-territorial organization of the new state was established, based on the ethnic and religious affiliation of the population. At the same time, the transition of the socialist social system took place, as well as other geopolitical processes and social changes in the Western Balkans initiated by globalization. The paper focuses on cultural disintegration and changes in urban identity and development of cities through the analysis of the six largest urban centers as indicators of social changes in BH. The results of the analysis suggest that there has been a cultural differentiation of society, which is reflected in changes in the ethnic and religious structure of the population and their spatial distribution. Economic stagnation and depopulation of urban centers, as a consequence of the civil war and social reforms, were confirmed by a comparative analysis of statistical indicators of economic and demographic development. Cultural changes were determined by relevant scientific methods and approaches: historical-geographical method, comparative analysis of statistics of demographic indicators and changes in spatial distribution, ethnic and religious structure of the population, and economic changes by analysis of employment in sectors of the economy. The scientific results of previously published papers devoted to some of the mentioned problems, primarily economic development and population dynamics in BH and its large cities, were also taken into account. In this paper, social changes are observed through the cause-and-effect relationships of geopolitical and cultural processes (political, economic and cultural disintegration), social and economic reforms (ownership transition and deindustrialization) and their manifestations on cultural identity and the development of urban centers.

A multi-criteria measurement and assessment of human capital development in EU-27 countries: A 10-year perspective

In today's global economy and across various types of organizations, human capital is a fundamental resource that determines their existence and development. This is particularly important in the context of ongoing climate-technological transformation processes based on innovative solutions. The role and importance of personal resources are well understood in the EU-27 countries, which base their future on competent human capital. This paper addresses this critical and timely topic by assessing human capital in the EU-27 countries over the period 2013–2022. The research aims to evaluate these countries' human capital potential, distinguishing between the "new EU-13" and the "old EU-14" countries, and to measure the effectiveness of its development during the study period. A crucial part of the research was to determine the impact of human capital on selected indicators of economic growth, innovation, and sustainable development. To achieve these objectives, an original research methodology was developed, employing the COPRAS method to determine the human capital assessment index and the equal weights and CRITIC methods to establish the weights of indicators characterizing the studied human capital. The impact assessment of this capital, along with innovation and unemployment on economic growth, was conducted using an econometric model. Meanwhile, correlations between the human capital assessment index and the indicators characterizing innovation, economic growth, and sustainability were analyzed using Spearman's non-parametric tests. The results show significant variation in human capital between the EU-27 countries and between the "old EU-14" and "new EU-13" groups. The Netherlands, Denmark, and Sweden achieved the best results in terms of human capital development, while Greece, Romania, and Bulgaria had the weakest outcomes. In contrast, Cyprus, Malta, and Portugal recorded the greatest progress during the review period. These results offer extensive opportunities for multidimensional inference and can be used to assess the current state of the EU-27 economy. They should also inform the development of strategies for individual countries and the EU-27 as a whole.

Evaluation and convergence analysis of science and technology innovation efficiency in China’s national central cities based on the super-efficiency SBM-ML model

ABSTRACT Scientific and Technological Innovation (STI) is an important driving force for economic development and social progress. National central cities are the main connection points of China’s economic activity network and play a leading role in the national economic development of the country. In order to explore the efficiency of STI and the convergence characteristics of STI in China’s national central cities, this paper selects S&T innovation input-output indicators and constructs a system of indicators for high-quality economic development. It measures the STI innovation efficiency of China’s national central cities by combining with the super-efficiency SBM-ML model and then constructs a model to analyze its convergence situation. The results of the study show that: from 2011 to 2021, the STI efficiency of China’s national central cities has reached an effective level, and the overall trend has increased; the total factor productivity of STI in China’s national central cities has obvious differences, with Beijing having the highest total factor productivity, while Shanghai has the lowest; the STI innovation efficiency of China’s national central cities exhibits both absolute β-convergence and conditional β-convergence, but there is no significant α convergence, and regional differences are obvious.

Производительность труда в российской Арктике: структурная динамика и регионально-отраслевые тенденции

Labor productivity is a key indicator of economic development and public well-being. This study assesses the structural shifts, regional dynamics, and sectoral trends in the domain of labor productivity in the Russian Arctic from 2011 to 2021, identifying aggregated economic sectors. The findings reveal that labor productivity levels in the Russian Arctic exceed the national average, primarily due to the resource-based nature of regional economies. However, a major issue is the persistently high level of interregional differentiation in labor productivity within the Arctic. The study demonstrates that an initially high level of labor productivity does not necessarily ensure long-term growth. An analysis of structural shifts in labor productivity over the past decade indicates a shift towards the market sector of the Arctic economy, evidenced by an increased share in gross regional product (GRP) and a decrease in time worked. Within the market sector, several trends are observed: the leading role of the extractive industry is maintained due to its expanding share in GRP; the role of agriculture is growing, reflected in a decreased share of hours worked; and the importance of other market sector branches, particularly transport, communication, and electric power, is diminishing as their share of total hours worked increases. The observed decline in labor productivity within the non-market sector suggests the potential for negative social consequences for the Arctic population. An analysis of labor productivity growth rates indicates that the leading sectors in terms of growth are mining, finance and business services, construction, and trade. These sectors can be considered sources of economic growth in the Arctic. Interregional differences in labor productivity growth rates within the same sector of the Arctic economy suggest the influence of regional factors, highlighting the potential for discovering unique reserves of productivity growth in each region.

FORMATION OF INVESTMENT ACTIVITY IN THE REGION AS A FACTOR OF SPATIAL DEVELOPMENT

Capital is always looking for favorable conditions to preserve and increase, respectively, the institutional factors of investment activity in the regions of the country are crucial to ensure its attraction. The purpose of this study is to substantiate the impact of investments on the main economic indicators of the region's development, on its spatial development. The article examines the importance and role of investments and provides a brief overview of scientific ideas about the content of the concept of «spatial development. It is shown that when developing a spatial development strategy, it is necessary to apply a systematic approach. During the research, general scientific methods of analysis and special methods of economic and statistical research were used. From the results obtained, it can be concluded that the state of investment activity in the region has unstable growth trends, in particular investments in fixed assets. In conclusion, the main aspects of the relationship between investment activity and the spatial development of the region are summarized.

Comparison study in inflation and economic development between Egypt and Saudi Arabia: Using data analysis

An increase in total demand over the natural supply causes inflation in Egypt. Currently, the government is not intervening to reduce prices, unlike Saudi Arabia, which does interfere. The government's direct aim is to limit the price rise, known as suppressed inflation. This study discusses the relationship between the inflation indicator and various dimensions of economic development (such as production, agriculture, industry, dependency, health, and education) in Egypt and Saudi Arabia from 1990 to 2022. The study found that inflation in Egypt was at a high rate during the study period, with an average of 9.9 %. This high average negatively affects four dimensions of development in Egypt: agriculture, dependency, health, and education. It positively impacts industry and production, but the positive impact is minimal compared to the adverse effects. The negative impact is powerful on the dimensions of education and health, which are related to the human element and have a primary influence on all other dimensions of economic development. This indicates the failure of the policy to combat inflation in Egypt and reduce its adverse effects on economic development dimensions. On the other hand, Saudi Arabia had a lower average inflation rate of 1.9 % during the study period, which negatively affected the health dimension of economic development but positively affected the dimensions of education and industry. The dependency dimension, measured by the external debt growth rate index, was excluded since there were no external debts with recursion.

An empirical analysis of worldwide impunity

Our research investigates the relationship between economic and social development indicators and the prevalence of impunity within a country. As countries develop, their institutions tend to function more efficiently and impartially, resulting in less impunity as crimes and violations are more efficiently investigated and prosecuted. We describe a country’s level of economic and social development along seven dimensions and use such a description in a beta regression analysis to predict the level of impunity in 119 countries. We estimate the elasticities of impunity with respect to the variables representing the different dimensions of economic and social progress. We present plots with the estimated elasticity curves for scenarios indicative of less and more socially and economically developed societies and also for the scenario indicative of societies in transition between the two groups. We also identify the countries with the best and worst performance in terms of their levels of impunity in relation to the levels of the conditioning variables. It is shown that Nordic countries exhibit lower impunity than expected based on their economic and social development factors. Conversely, the United States displays a significantly higher level of impunity than expected from its development indicators.

RESEARCH ON DIGITAL ECONOMY AND GREEN TOTAL FACTOR PRODUCTIVITY GROWTH OF CHINA’S INDUSTRY AND SPATIAL EFFECTS

This paper evaluates the impact and role of digital economy on industrial green total factor productivity based on the perspective of China’s industrial green transformation and provides a realistic basis and decision-making reference for industrial green transformation. This paper constructs the industrial green total factor productivity and digital economy development index of 30 provinces from 2013 to 2019, and empirically tests the spatial-temporal evolution relationship between them and the impact of digital economy on industrial green development by using time-fixed effect and spatial Durbin model. The results show that the digital economy and industrial green total factor productivity digital economy are unevenly developed, basically showing a distribution trend of high in the east and low in the west, and the two have a significant positive spatial correlation in the years observed. The results of local spatial autocorrelation analysis show that there is a high clustering of digital economy and total factor productivity in the eastern coastal region and low clustering in the western region. The regional heterogeneity analysis shows that the development of digital economy is beneficial to optimize the distortion of capital and labor allocation and thus improve industrial green total factor productivity, but the indirect effect of digital economy on industrial green total factor productivity is not significant and the direct effect plays a dominant role.

Green credit’s impact on pollution and economic development: A study from Vietnam

Vietnam is actively pursuing sustainable economic development while transitioning to a greener economy, facing challenges in balancing economic growth with environmental sustainability. The evaluation of current sustainable development efforts and the identification of effective green financial tools are critical for Vietnam's progress. This study introduces the Sustainable Economic Development (SED) Index, a comprehensive measure of sustainable economic development quality across Vietnam's 63 provinces from 2015 to 2022. Using a range of analytical techniques, we explore the relationships between green credit, environmental pollution, and sustainable economic development during this period. Our findings indicate rapid growth in sustainable economic development until 2019, followed by a deceleration due to the COVID-19 pandemic and the Ukraine war. Green credit emerges as a pivotal factor in supporting sustainable economic growth, managing climate risks, and mitigating environmental pollution, particularly during times of uncertainty. Additionally, we observe spatial spillover effects, where the benefits of green credit and the challenges of environmental pollution transcend provincial boundaries. The study recommends promoting green credit policies, fostering regional cooperation, and enhancing local competitiveness, digital transformation, and social equality to advance Vietnam's journey toward sustainable economic development.

An Evaluation Of The Treasury Single Account (TSA) As An Instrument Of Financial Prudence and Management In Nigeria: Methodology Analysis (OAGF) 2015-2024.

This paper examines the Office of the Accountant General of the Federation and the relationship between the Nigerian economy and the Treasury Single Account Policy (2015-2024). The Nigerian economy has developed slowly over the years, which has led to little to no improvement in the country's residents' standard of living. The study's overall goal was to determine how the Treasury Single Account Policy affected Nigeria's economic developments between 2015 and 2024. Its specific goals were to determine whether the human development index, Gini coefficient, and poverty rate of the country's economy differed significantly between the pre-and post-implementation periods. The research utilized the design of the quantitative study. Nigerian citizens make up the study's population, while the citizens of Nigeria for the years 2015–2024 make up the sample size. The study employed secondary data that came from the World Bank's National Accounts Data, the National Bureau of Statistics, and the Central Bank of Nigeria's Statistical Bulletin. The paired sample t-test was used to assess the data. The outcome showed that, except the variable of human development index, which showed a significant difference between the periods before and after the implementation of the treasury single account policy, economic development indicators (gini coefficient and poverty rate) did not differ significantly between the periods before and after the policy. Consequently, the analysis found that the Treasury Single Using the poverty rate and Gini coefficient as stand-ins for economic development, account policy had no discernible effect on the Nigerian economy. Additionally, it was determined that the Treasury Single Account Policy had a major influence on Nigeria's economic development using the Human Development Index as a proxy for economic progress. Therefore, it was advised that government programs for human development be maintained and improved, particularly in the fields of health and education.

ASSESSMENT OF THE IMPACT OF WELL GRID DENSITY ON OIL RECOVERY UNDER CONDITIONS OF UNCERTAINTY

The density of the well grid is one of the most important parameters that has a significant impact on the rate and amount of oil reserves extraction. As practice shows, existing approaches to the reliable assessment and identification of the degree of influence of this indicator on oil recovery do not allow us to adequately form an idea of the dynamics of reservoir processes and their role in making managerial decisions in conditions of uncertainty. Taking into account the decrease in the number of hydrodynamic and geophysical studies conducted in relation to the total number of wells in operation at fields that are being developed for a long time or just being put into development, the issue of predicting the oil recovery coefficient according to the list of geological and field parameters remains open and requires an urgent solution, including those related to the use of unique complex algorithms. The purpose of the work is to determine the relationship between the density of the well grid and the final coefficient of oil recovery in the development of fields in natural conditions using computer modeling systems. The research methodology consists of the use of existing scientific and methodological approaches to the processing of geological and commercial information in conditions of different densities in combination with the use of various advanced systems for identifying hidden patterns. Geological and statistical models have been defined for the oil deposits of the Famensk tier of the South Tatar arch of the Volga-Ural oil and gas province, allowing for the forecasting procedure for groups of objects identified during differentiation, subject to the dynamic density of geological and field information and various technical and economic indicators of field development. A comprehensive interpretation of the nature and degree of influence of geological and technological parameters on the amount of oil reserves production has been carried out. The need for preliminary differentiation of deposits based on identification with the subsequent use of the presented geological and statistical models to reduce the risks of making erroneous decisions during activities aimed at optimizing the development of analog facilities and rational extraction of residual oil reserves is reliably substantiated.

How does the digital economy affect corporate business credit supply?

Business credit supply entails a firm providing credit to its customers as a means to gain a competitive edge. The advent of the digital economy has brought about profound changes in business practices. In this context, it becomes crucial to examine how the digital economy impacts the business credit supply of enterprises. This study employs a theoretical framework to derive insights and carries out an empirical analysis using the City Digital Economy Development Index spanning from 2008 to 2021, along with data from A-share listed companies in Shanghai and Shenzhen. The objective is to explore the influence of the digital economy on corporate business credit supply and its underlying mechanisms. The findings reveal that the digital economy can enhance corporate business credit supply by reducing the incidence of bad debt, thus enabling companies to extend more credit to their customers. This research contributes empirical evidence for understanding the microeconomic impact of the digital economy, while also providing theoretical insights to advance the development of the digital economy and optimize the allocation of financial resources, thereby alleviating corporate financing constraints.

A comprehensive assessment approach for multiscale regional economic development: Fusion modeling of nighttime lights and OpenStreetMap data

Assessing regional economic development is key for advancing towards the Sustainable Development Goals and ensuring sustainable societal progress. Traditional evaluation methods focus on basic economic metrics like population and capital, which may not fully reflect the complexities of economic activities. Nighttime light (NTL) has been validated as an alternative indicator for regional economic development, yet limitations persist in its evaluation. This study integrates OpenStreetMap (OSM) data and NTL data, providing a novel data integration approach for evaluating economic development. The study uses mainland China as a case, applying Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) to evaluate OSM and NTL data across provincial, municipal, and county levels. It compares OSM, NTL, and their combined use, providing key empirical insights for enhancing data fusion models. The study results reveal: (1) NTL data is more accurate for provincial-level economic activity, while OSM data excels at the county level. (2) GWR demonstrates superior capability over OLS in revealing the spatial dynamics of economic development across scales. (3) Through the integration of both datasets, it is observed that, compared to single-data modeling, the performance is enhanced at the city scale and county scale. The study demonstrates that combining OSM and NTL data effectively assesses economic development in both developed and underdeveloped areas at provincial, municipal, and county levels. The study offers a straightforward and efficient approach to data integration. The findings offer new research perspectives and scientific support for sustainable regional economic growth, particularly valuable in data-scarce, underdeveloped areas.

Репрезентативность показателей и объективность оценок в компаративистике: экономика Российской империи второй половины XIX столетия в современных зарубежных исследованиях

The relevance of comparative studies of the level of industrial and economic development of the Russian Empire in the second half of the XIX century is determined by the fact that their results in some cases are used to substantiate theoretical ideas about the national characteristics of the Russian economy and society in comparison with the leading countries of Industrial Revolution. In economic literature, assertions about the “catastrophic” backwardness of Russia during this period are often encountered. Modern foreign historical-economic research allows for a more objective assessment of the gap between the level of industrial and economic development of the Russian Empire and the “advanced” states. However, the authors of these studies do not always succeed in consistently applying the principle of uniform criteria for comparing different economies. In particular, it is hardly justified: in some cases, to take into account, and in others, not to take into account the population and economic potential of territorial isolated peripheral regions of the respective economies. For example, the value of historical and economic comparisons is reduced by the confusion in research between the actual territory of the Russian Empire in the middle and second half of the XIX century, its territory within the conditional “borders of 1913” and the territory within “former USSR” borders. In this regard the article notes that conclusions drawn on the basis of fragmentary and arbitrarily interpreted information can’t be considered as fully correct. According to the author, in a comparative analysis of the economies-leaders of the Industrial Revolution, it is necessary to use assessment methods that take into account the population and indicators of economic development of peripheral territories were included in trade and financial exchanges with these economies, because this inclusion strongly spired the development of economies-leaders.