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The potential of smart development of urban-rural communes in peripheral region (a case study of the Lublin Region, Poland)


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Figure 1

Urban-rural communes in the Lublin Province according to the level of the synthetic indicator of the potential for smart development.Source: own study
Urban-rural communes in the Lublin Province according to the level of the synthetic indicator of the potential for smart development.Source: own study

The structure of urban-rural communes of the Lublin Province in terms of the level of the synthetic indicator of the potential for smart development

The level of potential smart developmentThe range of values of the synthetic index QsThe number of communes in the classShare of communes in the class (%)
HighQs<0.4178; 0.5343>830.77
AverageQs<0.3014; 0.4178)1246.15
LowQs<0.1849; 0.3014)623.08
Total26100.00

Variables describing particular areas of the smart villages concept

Smart village areaVariable
numberName and time (range)
ManagementX1The percentage of councillors representing professionals out of the total number of councillors (2016)
X2The total value of qualified expenditure of completed projects co-financed from EU funds under the programmes: IE, HC, IaE, DEP, ROP of the Lublin Province per inhabitant (2015)
X3The percentage of the commune area covered by local spatial development plans out of the total area of the commune (2016)
Quality of LifeX4The number of business entities of R section per 100 inhabitants (2016)
X5The number of specialist laboratories per 10,000 inhabitants (2016)
X6The number of residential premises completed per 1,000 inhabitants (2014–2016)
EconomyX7The percentage of new-registered entities in the agro-food processing sector out of the total number of new-registered entities (2015–2016)
X8The percentage of entities from sections J, K, L, M out of the total number of entities (2016)
X9The percentage of new-registered creative sector entities out of the total number of new-registered entities (2015–2016)
X10The share of registered unemployed people out of the working age population (2016)
SocietyX11The number of foundations, associations and social organizations per 1,000 inhabitants (2016)
X12The number of participants in mass events of municipality institutions per 1,000 inhabitants (2014– 2016)
X13The number of borrowings of public library collections per 1,000 inhabitants
X14The percentage of additional foreign language learning in primary schools (2014–2016)
X15The number of Third Age University members per 1,000 inhabitants (2016)
Natural EnvironmentX16The percentage of population connected to wastewater treatment facilities (2016)
X17The length of the sewerage network in relation to the length of the water supply network (%, 2016)
X18The percentage of protected areas (landscape and national parks and nature reserves) out of the total area of the commune (2016)
MobilityX19The percentage of residential premises in the commune within the scope of the NGA Internet out of the total number of residential premises in the commune (2016)
X20The number of vehicles registered in the commune per 1,000 inhabitants (2016)
X21The percentage of budget expenditure on transport and communication out of total commune expenditure (2014–2016)
X22The length of bicycle paths per 10,000 km2
eISSN:
2084-6118
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Geosciences, Geography, other