Margin-Journal of Applied Economic Research最新文献

{"title":"Influence of Expenditures in the Development of the Digital Economy on the Volume of Russia's GDP","authors":"S. Petrov, M. Maslov, A. Karpovich","doi":"10.15826/vestnik.2020.19.4.020","DOIUrl":"https://doi.org/10.15826/vestnik.2020.19.4.020","url":null,"abstract":"The purpose of this work is to assess the effectiveness of achieving planned investment indicators within the framework of the national program «Digital Economy of the Russian Federation» and the adequacy of investments in the digitalization of the economy to form positive dynamics of Russia's GDP. The hypothesis is tested about the presence of influence, along with the indicators of the functioning of traditional sectors of the economy, of indicators of digital sectors of the economy and indicators of investments in digital transformation in Russia. The methodology for such calculation is based on the theory of elasticity, which can be used to analyze the efficiency of resources (investments) in the case of alleged underfunding of a certain economic entity, that took place in the case of the specified program. This technique involves the construction of a Cobb-Douglas production function. The data of Russian statistical compilations in the regional context for the period from 2015 to 2018 were used as an information base for calculating and constructing a production function. Within the adopted specification of the cross-sectional regression model, the parameters of the production function were determined for each year within the specified period. Also, the predicted values ​​of the indicators of the used information base for 2019 and 2020 were determined using the linear regression method, and, proceeding from them, parameters of the production function were determined. Due to the incompatibility of data on the indicator of internal costs for the development of the digital economy in the program «Digital Economy of the Russian Federation» and the statistical indicator of the cost of information and communication technologies, it was necessary to calculate the ratio between these indicators. The solution to this problem showed that these indicators are in good agreement with each other with a difference of only a few percent. The final result of the study is an assessment of GDP losses while maintaining the dynamics of digitalization costs observed in 2015-2018, suggesting continuation of the trend towards the Digital Economy of the Russian Federation program being underfunded in 2019 and 2020.","PeriodicalId":44290,"journal":{"name":"Margin-Journal of Applied Economic Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75898906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Methodological Toolkit for Environmental and Economic Assessment of Metallurgical Enterprise Activities","authors":"N. Starodubets, A. Grigoreva","doi":"10.15826/vestnik.2020.19.4.026","DOIUrl":"https://doi.org/10.15826/vestnik.2020.19.4.026","url":null,"abstract":"The growing impact on the environment from industrial enterprises, the depletion of non-renewable natural resources and the associated risks make it relevant to take into account the environmental performance indicators of the enterprise along with economic ones. The authors believe that it is possible to conduct an environmental and economic assessment of the enterprise using an integrated indicator. The purpose of this paper is to develop a methodological toolkit for conducting an integrated environmental and economic assessment of the activities of a metallurgical enterprise, which makes it possible to make both a retrospective assessment of the enterprise's activities, and a predictive one based on the parity between the economic and environmental spheres of the enterprise. An analysis of domestic and foreign literature showed the absence of a unified approach to environmental and economic assessment of industrial enterprises based on standard financial and environmental reporting, and non-financial reporting standards. The methodology proposed by the author includes two blocks of indicators: an environmental and an economic one. The environmental block is represented by indicators related to the environmental impact. The economic block includes various indicators of the profitability of the enterprise. The authors propose an approach to standardizing indicators and calculating the integral indicator of environmental and economic assessment for the period. A distinctive feature of the author's methodology is the development of a single indicator that combines heterogeneous and multidirectional indicators of the environmental and economic blocks, which makes it possible to assess how the state of the enterprise changes over time, considering the action of various factors and their influence on the changes occurring at the enterprise. The proposed methodology was tested in application to the Seversky pipe plant for the period of 2016–2018. It showed a deterioration in the final environmental and economic assessment of the enterprise's activities as per the indicators of the economic block. At the same time, almost all indicators of the ecological block improved over the period of observation. The result is attributed to the ongoing large-scale technological overhaul at the enterprise, aimed, in many respects, at reducing the impact on the environment and increasing the efficiency of the enterprise. The authors believe that after the completion of the modernization project, an increase in the production volume and a decrease in unit costs with a minimum impact on the environment will help to achieve a balance between the ecological and economic spheres of the enterprise.","PeriodicalId":44290,"journal":{"name":"Margin-Journal of Applied Economic Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82005192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tobacco-free economy: A SAM-based multiplier model to quantify the impact of changes in tobacco demand in Bangladesh.","authors":"Muhammad Jami Husain,&nbsp;Bazlul Haque Khondker","doi":"10.1177/0973801015612665","DOIUrl":"https://doi.org/10.1177/0973801015612665","url":null,"abstract":"<p><p>In Bangladesh, where tobacco use is pervasive, reducing tobacco use is economically beneficial. This paper uses the latest Bangladesh social accounting matrix (SAM) multiplier model to quantify the economy-wide impact of demand-driven changes in tobacco cultivation, bidi industries, and cigarette industries. First, we compute various income multiplier values (i.e. backward linkages) for all production activities in the economy to quantify the impact of changes in demand for the corresponding products on gross output for 86 activities, demand for 86 commodities, returns to four factors of production, and income for eight household groups. Next, we rank tobacco production activities by income multiplier values relative to other sectors. Finally, we present three hypothetical 'tobacco-free economy' scenarios by diverting demand from tobacco products into other sectors of the economy and quantifying the economy-wide impact. The simulation exercises with three different tobacco-free scenarios show that, compared to the baseline values, total sectoral output increases by 0.92%, 1.3%, and 0.75%. The corresponding increases in the total factor returns (i.e. GDP) are 1.57%, 1.75%, and 1.75%. Similarly, total household income increases by 1.40%, 1.58%, and 1.55%.</p>","PeriodicalId":44290,"journal":{"name":"Margin-Journal of Applied Economic Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0973801015612665","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35449163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structured Inequalities: Factors Associated with Spatial Disparities in Maternity Care in India.","authors":"Sonalde Desai,&nbsp;Lijuan Wu","doi":"10.1177/097380101000400303","DOIUrl":"https://doi.org/10.1177/097380101000400303","url":null,"abstract":"<p><p>Research on India documents considerable heterogeneity in health and health care across states. However, while regional differences are well established, factors underlying these differences have received little attention. This paper seeks to explain disparities in delivery care across districts by focusing on three factors: (1) Marriage and kinship patterns; (2) District wealth; (3) Governance and quality of services. Using data from nationally representative India Human Development Survey 2005 (IHDS) it examines the probability that the 11,905 women who had a child between 2000 and 2005 delivered in a hospital or received care from a doctor or a nurse while delivering at home. The results suggest that 47% of the variation in delivery care in India is between districts while 53% is between women within district. Although compositional differences in education and household wealth explain some of the variation between districts, marriage and kinship patterns, district wealth and governance each has a significant impact on shaping between-district variation in maternity care.</p>","PeriodicalId":44290,"journal":{"name":"Margin-Journal of Applied Economic Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/097380101000400303","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32286174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling the Interaction of the Regions of Russia and the Republic of Belarus in the Sphere of the Processing Industry","authors":"L. Serkov, M. Petrov, K. Kozhov","doi":"10.15826/vestnik.2021.20.2.010","DOIUrl":"https://doi.org/10.15826/vestnik.2021.20.2.010","url":null,"abstract":"In connection with the processes of the formation of the Union State of Russia and Belarus, the relevance of conducting a study of economic, infrastructural and institutional factors affecting the change in the level of economic interaction between the regions of the Russian Federation and the Republic of Belarus is increasing. The aim of the work is to carry out spatial modeling of the possible interaction of the regions of the Russian Federation and the Republic of Belarus in the manufacturing industry and to assess the factors affecting this interaction. The main hypothesis of the study is the assumption that the elements of the matrix of interregional interactions are proxy variables that characterize the degree of this interaction. At the first stage, the spatial distribution of the volume of output in the manufacturing sector of the regions of the two countries is investigated in order to assess possibilities of interaction between the regions in this sector. In modeling, the Republic of Belarus is considered as a separate region within the Union State. Calculations of the global and local Moran's indices have been carried out and possible spatial autocorrelations have been determined, both between the regions of the Russian Federation and between the regions of these two countries. In this study, economic indicators calculated on the basis of inverse values of the difference in interregional gross regional products were selected as elements of the weight matrix. At the second stage, the influence of economic, infrastructural and institutional factors on the indicator characterizing the degree of possible interaction of the regions of the two countries in the manufacturing industry was studied. Using quantile regression, the influence of economic, infrastructural and institutional factors on this investigated indicator was studied. The use of this approach makes it possible to substantiate the priority directions of economic development of the territories within the framework of the Union State and, in particular, to search for centers of attraction of resources and spheres of their influence on the territory. The results of the work can be used in preparation of strategies, programs and schemes for the placement and development of industries, taking into account the potential of a new level of integration of the economies of Russia and Belarus.","PeriodicalId":44290,"journal":{"name":"Margin-Journal of Applied Economic Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87240723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}