{"title":"俄罗斯联邦区域电力消费空间特征分析","authors":"M. Petrov, L. Serkov, K. Kozhov","doi":"10.22394/1993-7601-2021-61-5-27","DOIUrl":null,"url":null,"abstract":"The article analyzes the features of interregional power consumption within the framework of spatial econometrics. Using the Moran's method, it is shown that the level of electricity consumption in a certain region is positively correlated with the level of electricity consumption in neighboring regions. To assess the energy-economic factors providing this positive impact, spatial autoregression models have been built. Of all the models analyzed, the most appropriate is the one with the spatial lag of the dependent variable (SAR model). From the assessment of the marginal effects (direct, indirect and general), it was concluded that the regional distribution of electricity consumption is largely explained by the processes taking place within the region than in neighboring regions. A model with an extended specification that takes into account the presence and interaction of price and non-price zones is analyzed. The results obtained indicate that the spatial relationships between the regions of the price zone differ from the relationships between the regions of the non-price zone.","PeriodicalId":8045,"journal":{"name":"Applied Econometrics","volume":"33 1","pages":"5-27"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of the spatial features of regional power consumption in the Russian Federation\",\"authors\":\"M. Petrov, L. Serkov, K. Kozhov\",\"doi\":\"10.22394/1993-7601-2021-61-5-27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article analyzes the features of interregional power consumption within the framework of spatial econometrics. Using the Moran's method, it is shown that the level of electricity consumption in a certain region is positively correlated with the level of electricity consumption in neighboring regions. To assess the energy-economic factors providing this positive impact, spatial autoregression models have been built. Of all the models analyzed, the most appropriate is the one with the spatial lag of the dependent variable (SAR model). From the assessment of the marginal effects (direct, indirect and general), it was concluded that the regional distribution of electricity consumption is largely explained by the processes taking place within the region than in neighboring regions. A model with an extended specification that takes into account the presence and interaction of price and non-price zones is analyzed. The results obtained indicate that the spatial relationships between the regions of the price zone differ from the relationships between the regions of the non-price zone.\",\"PeriodicalId\":8045,\"journal\":{\"name\":\"Applied Econometrics\",\"volume\":\"33 1\",\"pages\":\"5-27\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Econometrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22394/1993-7601-2021-61-5-27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22394/1993-7601-2021-61-5-27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
Analysis of the spatial features of regional power consumption in the Russian Federation
The article analyzes the features of interregional power consumption within the framework of spatial econometrics. Using the Moran's method, it is shown that the level of electricity consumption in a certain region is positively correlated with the level of electricity consumption in neighboring regions. To assess the energy-economic factors providing this positive impact, spatial autoregression models have been built. Of all the models analyzed, the most appropriate is the one with the spatial lag of the dependent variable (SAR model). From the assessment of the marginal effects (direct, indirect and general), it was concluded that the regional distribution of electricity consumption is largely explained by the processes taking place within the region than in neighboring regions. A model with an extended specification that takes into account the presence and interaction of price and non-price zones is analyzed. The results obtained indicate that the spatial relationships between the regions of the price zone differ from the relationships between the regions of the non-price zone.
Applied EconometricsEconomics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
0.70
自引率
0.00%
发文量
0
期刊介绍:
The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.