Territorial patterns of R&D+I grants supporting Smart Specialisation projects funded from the ESIF in Poland

Figures & data

Figure 1. Territorial pattern of Smart Specialisation projects in Poland.

Source: Authors’ own elaboration.

Figure 2. Smart Specialisation location of projects: Moran scatter plot.

Source: Authors’ own elaboration.

Table 1. Estimation results.

	(1)	(2)	(3)	(4)	(5)	(6)
Patents	0.240***	0.239***	0.233***	0.234***	0.231***	0.235***
	(0.067)	(0.068)	(0.065)	(0.070)	(0.068)	(0.070)
Krugman specialization		−0.058				0.016
		(0.073)				(0.079)
Share of agriculture			−0.237***		−0.214***
			(0.081)		(0.082)
Share of industry				0.345***	0.325***	0.351***
				(0.112)	(0.111)	(0.117)
Share of market services				0.143	0.072	0.145
				(0.144)	(0.149)	(0.144)
Population density	0.219***	0.235***	0.043	0.216***	0.064	0.211***
	(0.058)	(0.060)	(0.087)	(0.059)	(0.083)	(0.062)
Immigration	0.799***	0.793***	0.837***	0.792***	0.834***	0.794***
	(0.072)	(0.071)	(0.076)	(0.077)	(0.082)	(0.077)
Children education	0.309	0.236	0.501	−0.315	−0.034	−0.307
	(0.581)	(0.586)	(0.590)	(0.635)	(0.661)	(0.634)
Graduates	0.005	0.004	−0.003	0.003	−0.004	0.004
	(0.019)	(0.019)	(0.019)	(0.019)	(0.019)	(0.019)
Enterprises	0.030	0.028	0.042*	0.009	0.024	0.009
	(0.024)	(0.024)	(0.024)	(0.024)	(0.024)	(0.024)
Unemployment rate	−0.112	−0.138	−0.021	−0.165	−0.073	−0.158
	(0.121)	(0.130)	(0.119)	(0.119)	(0.122)	(0.127)
Wage	0.235	0.251	−0.048	0.243	−0.003	0.238
	(0.343)	(0.337)	(0.359)	(0.337)	(0.350)	(0.338)
Foreign capital investment	0.057**	0.057**	0.048**	0.042*	0.035	0.042*
	(0.023)	(0.023)	(0.024)	(0.023)	(0.023)	(0.023)
Capital powiat	0.438**	0.445**	0.382*	0.594***	0.528**	0.595***
	(0.217)	(0.219)	(0.215)	(0.230)	(0.230)	(0.230)
Neighbour to capital powiat	0.131	0.120	0.052	0.064	0.010	0.066
	(0.179)	(0.177)	(0.183)	(0.176)	(0.179)	(0.176)
Former capital powiat	−0.203	−0.195	−0.232	−0.199	−0.222	−0.201
	(0.199)	(0.201)	(0.194)	(0.201)	(0.195)	(0.200)
Neighbour to former capital	−0.078	−0.062	−0.051	−0.034	−0.015	−0.038
	(0.132)	(0.131)	(0.137)	(0.132)	(0.136)	(0.132)
Constant	−5.409	−5.296	−4.277	−1.924	−1.694	−1.889
	(4.215)	(4.190)	(4.251)	(4.481)	(4.517)	(4.492)
Region fixed effects	Yes	Yes	Yes	Yes	Yes	Yes
Observations	378	378	378	378	378	378
R^2	0.962	0.962	0.963	0.964	0.965	0.964

Notes: Robust standard errors are shown in parentheses. The dependent variable in all models is the number of projects. R² is computed as the squared correlation coefficient between the observed number of projects and the number predicted by the model.

***, ** and *Significance at the 1%, 5% and 10% significance levels, respectively.