Impact of social innovation on population change in Borsod-Abaúj-Zemplén County
DOI:
https://doi.org/10.18096/TMP.2021.01.05Keywords:
social innovation, spatial inequalities, spatial autocorrelation, population changeAbstract
Technological and economic innovations cannot respond to all social challenges. Natural and material resources are becoming ever scarcer, so it is necessary to use investment assets, maximizing social and economic efficiency. It is a major task to address the backwardness originating from regional disparities and to create opportunities for catching up in peripheral regions. The study, based on the process-oriented model defined in our previous studies and the determination of the social innovation potential, tries to determine the relationship between social innovation potential, the spatial position of developmental image, and regional differences and population change in Borsod-Abaúj-Zemplén County.
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i The input indicators:
Number of non-governmental organizations (NGOs) per 10,000 inhabitants
Number of active companies per 1,000 inhabitants
Number of non-profit organizations per 1,000 inhabitants
Proportion of children in the population
Number of elderly per 100 children
Dependency ratio: children (aged zero to 14) and elderly (age 65 and above) as a percentage of the totalpopulation aged 15 to 64)
Activity rate (taxpayers/population * 100)
Average number of completed years of education, 2011
The output indicators:
Payout per capita (2007–2013)
Proportion of the public employees compared to the population aged 15–64
Number of participants in cultural events per thousand persons 1,000 inhabitants
Proportion of people living in segregation
Number of persons receiving social catering service per 1,000 inhabitants
Number of recipients of home care assistance per 1,000 inhabitants
Unemployment rate
Average patient turnover per GP and pediatrician
The impact indicators:
Annual average income per capita (thousand HUF)
Percentage of population with primary education over 7 years (including early school leavers)
Proportion of one-person households
Proportion of families with three or more children
Number of registered crimes per 1000 inhabitants
Number of beds in institutions providing long-term residential care per 1000 inhabitants
Proportion of taxpayers earning in the 0 HUF to1 million HUF income band
Proportion of regularly cleaned public areas.
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