{"title":"Academic Strategic Forum ‘Asian Russia – Breakthrough Development Space’","authors":"A. Isaev","doi":"10.14530/se.2022.4.201-203","DOIUrl":"https://doi.org/10.14530/se.2022.4.201-203","url":null,"abstract":"","PeriodicalId":54733,"journal":{"name":"Networks & Spatial Economics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83369353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Fuel and Energy Industry of China and Russia in the Context of the Transition to the Low-Carbon Development Trajectory","authors":"V. Kryukov, Y. Kryukov","doi":"10.14530/se.2022.3.141-167","DOIUrl":"https://doi.org/10.14530/se.2022.3.141-167","url":null,"abstract":"The article analyzes the issues of energy cooperation between Russia and China in connection with the ‘green transition’ in China, China reaching the peak level of emissions in 2030 and its transition to carbon neutrality by 2060. In the foreseeable future, the key area of energy cooperation between the two countries will be the gas sector, with natural gas is being considered as a ‘transitional’ fuel on the way from coal to renewable energy sources. The Chinese economy is actively moving to the use of gas in the energy and residential sectors. At the same time, considering the scale of the Chinese economy, coal will be in demand for a long time, since technological and economic reasons make it difficult to abandon this raw material quickly in favor of less carbon-intensive types of energy resources. Against this background, the Russian fuel and energy industry can avail of the contradictory trends in the energy sector of China – the existing desire for development with low-carbohydrate emissions and current significant volumes of coal generation. This creates a stable basis for the development of bilateral energy cooperation for the upcoming decades. Russia and China have different views on low-carbon development, which is dictated by the different role of energy resources in the economy of each country. China seeks self-sufficiency in supply and therefore purposefully follows the path of the ‘green transition’, while Russia proceeds from the relative duration of the era of non-renewable energy resources. For this reason, ‘green’ projects in Russia are still more related to environmental care within the framework of individual projects ‘on the ground’, and not with a systematic movement towards decarbonization of the energy industry","PeriodicalId":54733,"journal":{"name":"Networks & Spatial Economics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88647608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimating the Effects of Economic Interactions in a Hierarchically Organized Space: Possibilities of the Balance Method","authors":"N. Dzhurka","doi":"10.14530/se.2022.4.009-035","DOIUrl":"https://doi.org/10.14530/se.2022.4.009-035","url":null,"abstract":"In this paper we discuss the capabilities of input-output tables for obtaining the estimates of system effects generated by interregional interactions in the hierarchically organized space. Two options of integrating the concepts of interregional interactions and central place are presented, one of which implies the a priori, the other – the a posteriori solution to the problem of identifying (constructing) a market hierarchy. While the first one is used only in situations when the system effects are reduced to the spill-over of economic activity from the periphery to the center, the second one is used in more general situations when the system effects include not only spill-over effects but also the feedback effects. We consider the feedback loop input-output analysis, which allows us to get a posteriori estimates of regions distribution by the levels of spatial hierarchy. And determine that it had varying effectiveness for the cases of Japan and Russia. In accordance with the existing methods of decomposition of spatial multipliers the system effects of interregional interactions are determined, on the one hand, as a residual multiplier effect obtained after identifying the effects of intra-regional interactions, on the other hand, as a result of superposition of the effects of interregional interactions within the framework of dyads, triads, tetrads, etc. composed of regions. In order to obtain estimates of the system effects generated by interactions on markets of different levels (provided that these levels are identified), we propose the method of localizable partition, organizing the calculation of the structural blocks of spatial multipliers in the ‘from the general to the particular’ logic (from the system effects of interactions on the national market to the effects of interactions on local markets). On the basis of this method, we estimate the size and structure of the system effects absorbed by the economies of the three central regions of Japan (Kanto, Chubu, Kinki), which form the core of the national economic space","PeriodicalId":54733,"journal":{"name":"Networks & Spatial Economics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74485726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-Objective Decision Method for Airport Landside Rapid Transit Network Design.","authors":"Danwen Bao, Shijia Tian, Rui Li, Tianxuan Zhang, Ting Zhu","doi":"10.1007/s11067-022-09571-y","DOIUrl":"https://doi.org/10.1007/s11067-022-09571-y","url":null,"abstract":"<p><p>To better deploy the landside rapid transit network for large airports, this study proposes a multi-objective transit network design model to maximize passenger demand coverage, reduce passenger travel time and minimize operational cost simultaneously. This model is formulated as an equivalent integer programming problem by predefining the transportation corridors and passengers' OD pairs. A branch-and-cut algorithm is proposed to find a non-inferior solution set. We also conduct trade-off analysis between efficiency, effectiveness and equity under each deployment strategy using the modified Gini coefficient method. The effectiveness of the proposed model and solution algorithm are tested with rapid transit network of the Beijing Capital International Airport. Results show that among the three common network topologies, including star, tree and finger, the passenger demand coverage and travel time reduction per unit cost under star topology outperform the other two topologies. As for finger topology, the performances of the passenger demand coverage and travel time reduction are the best among the three, but the cost is the poorest. In addition, the trade-off analysis shows that the solution whose objective is to maximize passenger demand coverage has a higher efficiency and a lower unit cost than the solution whose objective is to reduce travel time. However, the latter has a higher level of equity, especially for the medium and low-cost solutions. The proposed method in this study can help the decision makers to design effective landside rapid transit networks for large airports to improve the service level.</p>","PeriodicalId":54733,"journal":{"name":"Networks & Spatial Economics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244575/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40482461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Productivity, Subsidies, and Agricultural Specialization: Evidence from the Russian Far East","authors":"O. Vasilyeva","doi":"10.14530/se.2022.3.093-114","DOIUrl":"https://doi.org/10.14530/se.2022.3.093-114","url":null,"abstract":"Are the effects of subsidies on farm productivity heterogeneous? Does the direction and magnitude of subsidies impact depend on farm specialization? To address this question, I use farm-level data from Amur region in the Russian Far East for 2010–2014. The data set includes farms inputs and output as well as state subsidies and degree of farm specialization. The latter is defined as the share of crop production in total farm revenue. The sample of farms is not random but includes almost the entire set of corporate farms in the Amur Region. Using the data, I estimate the production function that allows me to study the relationships between total factor productivity (TFP), farms specialization and state subsidies. To test whether farm specialization moderates the impact of subsidies on TFP, an interaction term between specialization and subsidies was included in the model. So, I study how the marginal effects of subsidies change conditional on degree of specialization. My findings support the heterogeneous effect of subsidies on TFP depending on the degree of farm specialization. High degree of specialization on livestock production is associated with negative effects of subsidies on TFP, while I don’t fine a statistically significant connection between subsides and TFP for farms specializing on crop production. The research contributes to the discussion about the effects of state supports and subsidies on agricultural development and productivity in Russia and particularly in the Russian Far East","PeriodicalId":54733,"journal":{"name":"Networks & Spatial Economics","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84045958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}