On the impact of knowledge and institutional spillovers on RIS efficiency. Evidence from Italian regional level

2021 ◽  
Author(s):  
Cristian Barra ◽  
Nazzareno Ruggiero
Keyword(s):  
Regional Level ◽  
Institutional Spillovers ◽  
The Impact

Impact of regulatory framework rigidity on poverty in the regions of Russia

2020 ◽  
pp. 62-79
Author(s):  
P. N. Pavlov
Keyword(s):  
Economic Activity ◽  
Regional Level ◽  
Institutional Factors ◽  
Federal Regulations ◽  
Russian Regions ◽  
Poverty Dynamics ◽  
Regulatory Burden ◽  
Sectoral Structure ◽  
The Impact ◽  
Regions Of Russia

The paper analyzes the impact of the federal regulatory burden on poverty dynamics in Russia. The paper provides regional level indices of the federal regulatory burden on the economy in 2008—2018 which take into account sectoral structure of regions’ output and the level of regulatory rigidity of federal regulations governing certain types of economic activity. Estimates of empirical specifications of poverty theoretical model with the inclusion of macroeconomic and institutional factors shows that limiting the scope of the rulemaking activity of government bodies and weakening of new regulations rigidity contributes to a statistically significant reduction in the level of poverty in Russian regions. Cancellation of 10% of accumulated federal level requirements through the “regulatory guillotine” administrative reform may take out of poverty about 1.1—1.4 million people.

The Random Forest Method in Research of Impact of Macroeconomic Indicators of Regional Development on Informal Employment Rate

2020 ◽  
Vol 27 (6) ◽  
pp. 37-55
Author(s):  
E. V. Zarova ◽  
E. I. Dubravskaya
Keyword(s):  
Random Forest ◽  
Regional Development ◽  
Russian Federation ◽  
Regional Level ◽  
Informal Employment ◽  
Macroeconomic Factors ◽  
Random Forest Method ◽  
Macroeconomic Indicators ◽  
The Russian Federation ◽  
The Impact

The topic of quantitative research on informal employment has a consistently high relevance both in the Russian Federation and in other countries due to its high dependence on cyclicality and crisis stages in economic dynamics of countries with any level of economic development. Developing effective government policy measures to overcome the negative impact of informal employment requires special attention in theoretical and applied research to assessing the factors and conditions of informal employment in the Russian Federation including at the regional level. Such effects of informal employment as a shortfall in taxes, potential losses in production efficiency, and negative social consequences are a concern for the authorities of the federal and regional levels. Development of quantitative indicators to determine the level of informal employment in the regions, taking into account their specifics in the general spatial and economic system of Russia are necessary to overcome these negative effects. The article proposes and tests methods for solving the problem of assessing the impact of hierarchical relationships on macroeconomic factors at the regional level of informal employment in constituent entities of the Russian Federation. Majority of the works on the study of informal employment are based on basic statistical methods of spatial-dynamic analysis, as well as on the now «traditional» methods of cluster and correlation-regression analysis. Without diminishing the merits of these methods, it should be noted that they are somewhat limited in identifying hidden structural connections and interdependencies in such a complex multidimensional phenomenon as informal employment. In order to substantiate the possibility of overcoming these limitations, the article proposes indicators of regional statistics that directly and indirectly characterize informal employment and also presents the possibilities of using the «random forest» method to identify groups of constituent entities of the Russian Federation that have similar macroeconomic factors of informal employment. The novelty of this method in terms of research objectives is that it allows one to assess the impact of macroeconomic indicators of regional development on the level of informal employment, taking into account the implicit, not predetermined by the initial hypotheses, hierarchical relationships of factor indicators. Based on the generalization of the studies presented in the literature, as well as the authors’ statistical calculations using Rosstat data, the authors came to the conclusion about the high importance of macroeconomic parameters of regional development and systemic relationships of macroeconomic indicators in substantiating the differentiation of the informal level across the constituent entities of the Russian Federation.

The impact of EU-funded research networks on knowledge diffusion at the regional level

2008 ◽  
Vol 17 (4) ◽  
pp. 283-293 ◽  
Author(s):  
Lorenzo Cassi ◽  
Nicoletta Corrocher ◽  
Franco Malerba ◽  
Nicholas Vonortas
Keyword(s):  
Knowledge Diffusion ◽  
Regional Level ◽  
Research Networks ◽  
Funded Research ◽  
The Impact

L'effet en amont de la carte électorale: le cas de la région de Québec à l'élection fédérale de 1968

1974 ◽  
Vol 7 (4) ◽  
pp. 648-671 ◽  
Author(s):  
Andre Blais ◽  
Rachel Desrosiers ◽  
Francois Renaud
Keyword(s):  
Regional Level ◽  
Liberal Party ◽  
Federal Election ◽  
Electoral District ◽  
The Impact ◽  
New Location

The Effect of Redistributing Municipalities: the Case of Quebec in the Federal Election of 1968The authors of this article wished to test two hypotheses about the effect of transferring municipalities from one constituency to another, using the case of Quebec in the federal election of 1968. The first hypothesis was that there would be more shifting of votes in municipalities which had been transferred to a new electoral district. The second was that the change in voting in these municipalities would be in the direction of the trend displayed in the new location. Thus, for example, the vote for the Liberal party would increase in a municipality which was now in a constituency that was more Liberal in its voting pattern.The two suppositions were confirmed very clearly for the Conservative vote. However, only the first hypothesis was sustained by the Créditiste vote, while neither hypothesis held for the Liberal vote. The authors suggest that the Conservative vote is more strongly influenced by local circumstances at the regional level of politics. Hence, the impact of redistribution would vary according to the regional (or national) strength of a party.

scholarly journals Financing of Smart Growth in Less Developed Regions on the Example of Poland

e-Finanse ◽  
2018 ◽  
Vol 14 (3) ◽  
pp. 8-20 ◽  
Author(s):  
Dorota Murzyn
Keyword(s):  
Smart Growth ◽  
Regional Level ◽  
The European Union ◽  
Public Intervention ◽  
Structural Funds ◽  
Factors Influencing ◽  
Development Processes ◽  
Eu Structural Funds ◽  
Research Questions ◽  
The Impact

AbstractThe aim of this paper is twofold. First, the smart growth concept is examined with a focus on challenges associated with applying this concept in the less developed regions. Second, the impact of EU structural funds on smart growth in Poland is analyzed at the regional level with a view to contributing to the debate on public intervention in this area. The research questions are as follows: “Is the concept of smart growth, as postulated by the European Union, well suited to the less developed regions?” and “Whether and to what extent do EU funds contribute to achieving smart growth in Poland?”Smart growth has accelerated after 2007, which could suggest a significant impact of EU structural funds, whose allocation to measures supporting innovative activity rose markedly after 2007. However, among the various factors influencing regional development processes, the impact of structural funds was not as strong as might be expected, which was confirmed by further analysis.

Railway fuel and its impact on the forests in colonial India: The case of the Punjab, 1860–1884

2012 ◽  
Vol 47 (4) ◽  
pp. 1283-1309 ◽  
Author(s):  
PALLAVI V. DAS
Keyword(s):  
Environmental Degradation ◽  
Large Scale ◽  
National Level ◽  
Regional Level ◽  
Peak Period ◽  
Colonial State ◽  
Colonial India ◽  
Railway Line ◽  
State Response ◽  
The Impact

AbstractRecent studies have stressed the need for micro-histories of the environment so that important differences and similarities at local, regional and national level might be revealed. This paper analyses the process and patterns of environmental degradation at regional level by taking the case of deforestation in colonial Punjab by studying its implication at the level of empire. More specifically, it examines three aspects of how the operation and expansion of railways from 1869 to 1884, a peak period of railway expansion, affected the forests of the Punjab's plains. First, the paper analyses the reasons for large-scale railway expansion in the Punjab by discussing spatial and temporal expansion. Secondly, the impact of the railway firewood demand on the Punjab's forests between 1860 and 1884 is examined, specifically, the conditions that facilitated the increased dependence of the railways on firewood. Next follows an examination of the temporally varying nature of deforestation, given that railway firewood demand was determined by railway line openings. This section also includes a discussion on the nature of the colonial state response to the deforestation crisis and its role in maintaining the fuel supply to the railways. Finally, in the context of deforestation in the Punjab, the paper discusses how and why railway fuel changed from firewood to coal.

The Impact of the Crisis on Healthcare Risk Management in Slovenia: The Case of Regional Hospitals

2016 ◽  
Vol 14 (3) ◽  
pp. 493-509 ◽  
Author(s):  
Dejan Ravšelj ◽  
Aleksander Aristovnik
Keyword(s):  
Risk Management ◽  
Regional Level ◽  
Financial Control ◽  
Healthcare Organizations ◽  
Management Tools ◽  
Paired Samples ◽  
And Control ◽  
The Impact ◽  
Regional Hospitals ◽  
The Eu

The main purpose of the article is to identify which components of public internal financial control (PIFC), as part of risk management, have been improved by the crisis the most at the regional level, and what is the possible reason for that. During the period 2008–2014, healthcare in the EU and consequently in Slovenia was under the pressure of aggravated circumstances. Therefore, it is important that healthcare organizations, especially regional hospitals, as a main provider of secondary healthcare, have risk management tools in place that prevent risks and provide a reasonable assurance that public funds are being used for the intended purpose. To test which components significantly improved in that period, a paired-samples t-test is performed on a sample of 10 Slovenian regional hospitals. The empirical results show that the components of risk assessment and control activities saw the greatest improvement.

Intimate partner violence among women in Spain: the impact of regional-level male unemployment and income inequality

2015 ◽  
Vol 25 (6) ◽  
pp. 1105-1111 ◽  
Author(s):  
Belén Sanz-Barbero ◽  
Carmen Vives-Cases ◽  
Laura Otero-García ◽  
Carles Muntaner ◽  
Jordi Torrubiano-Domínguez ◽  
...  
Keyword(s):  
Intimate Partner Violence ◽  
Income Inequality ◽  
Partner Violence ◽  
Intimate Partner ◽  
Regional Level ◽  
The Impact

The Changes of Urban Structure and Commuting: An Application to Metropolitan Statistical Areas in the United States

2017 ◽  
Vol 42 (1) ◽  
pp. 3-30 ◽  
Author(s):  
Zhiyuan Yao ◽  
Changjoo Kim
Keyword(s):  
Public Transit ◽  
The United States ◽  
Regional Level ◽  
The Other ◽  
Urban Structure ◽  
Statistical Tool ◽  
Metropolitan Statistical Areas ◽  
Urban Structures ◽  
Commuting Time ◽  
The Impact

While urban structures have been delineated at the regional level, few works have explored the impact of urban structures on commuting at this same level. This article studies how urban structures affect commuting from 2000 to 2010. It applies a spatial statistical tool, standard deviation ellipses, to capture spatial patterns of jobs and residential workers for metropolitan statistical areas (MSAs). Two urban structure indexes are constructed to illustrate different decentralization levels of employment with reference to the distribution of residential workers; one illustrates the spatial decentralization of high job density nodes, while the other shows the spatial decentralization of moderate job density nodes. Commuting times of two modes by private cars and public transit are analyzed along with the number of commuters. The results highlight three findings: (1) MSAs become more compact in terms of employment distribution, (2) more decentralized high-density nodes lead to less total commuting times, and on the other hand, more decentralized moderate job density nodes contribute to longer commuting times, and (3) the decentralization of high job density nodes is associated with less commuting time of private cars, while they have insignificant effect on commuting time of public transit.

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