Table 4.

Regressions of growth on creative class, entrepreneurial context, their interaction and other county characteristics for all rural counties

Start-ups90s
ΔEstabs90s
ΔJobs90s
Sa
Eb
Eb
Sa
Sa
Eb
Dependent variablesβProb(|t|)βProb(|t|)βProb(|t|)βProb(|t|)βProb(|t|)βProb(|t|)
Creative and entrepreneurial
    Creative90s0.0890.02130.0610.00480.1770.00870.1530.05010.1310.00870.1470.0033
    Entre context0.432<0.00010.874<0.00010.286<0.00010.3720.00070.216<0.00010.0500.3225
    Creative × Context0.0400.00210.0220.00610.2460.00130.3060.00030.0640.00130.0550.0142
Industry
    Farm0.1610.00070.0730.00310.0440.58710.1630.00890.1120.0154-0.0680.1993
    Mining0.1040.0019−0.0270.05510.1140.0044−0.0510.16120.251<0.00010.240<0.0001
    Mfg Dur0.165<0.00010.0120.3420−0.0600.09250.0370.26620.0860.00630.0830.0165
    Mfg Nondur0.177<0.00010.0050.7364−0.0030.93490.0710.09710.1530.00010.157<0.0001
    Prod Serv−0.0240.2670−0.0070.5193−0.0370.49370.0020.9744−0.0380.1550−0.0310.2791
    Tourism−0.0420.0862−0.0170.2175−0.0610.4114−0.0090.86080.0290.35550.0320.3132
Labor market
    Educ HS+0.0210.57400.0160.51190.1290.10160.1370.03630.0120.81490.0240.6485
    Educ BA/BS+0.0160.66540.0350.10680.0190.83820.0950.2421−0.0630.1513−0.0190.6617
    Emp rate0.1250.00030.0640.0040−0.0920.1365−0.1010.07170.0830.06140.0630.1688
    Median Inc−0.0260.4955−0.0450.0942−0.0190.7847−0.0290.62180.1330.00380.1620.0005
    Pop 8–170.0460.20620.0290.15020.0540.50380.0400.54220.0380.33080.0400.3004
Urban influence
    Density0.280<0.0001−0.0340.1297−0.0850.34270.0570.39250.1550.00100.1380.0042
    Commuting0.190<0.00010.143<0.00010.1420.00370.174<0.00010.0800.00990.162<0.0001
Local amenities
    Outdoor Amen0.211<0.00010.167<0.00010.2140.00010.1910.00040.1390.00370.1360.0030
    Pub land0.0310.13300.0140.30450.0530.28320.0500.2468−0.0020.9462−0.0010.9835
    Pop 62+−0.0080.80040.0480.0061−0.1170.2452−0.1320.10790.0990.0127−0.0640.0907
Demography
    Black0.0680.00750.111<0.0001−0.0810.07960.0800.04490.161<0.00010.212<0.0001
    NativeAm0.0450.0244−0.0280.1028−0.0750.1132−0.0480.25490.0530.05150.0370.1720
    Hispanic−0.0110.63120.063<0.0001−0.0420.2973−0.0710.06090.0090.8045−0.0250.4734
Institutions
    Military0.0500.00060.0020.82320.0070.7523−0.0380.06260.0920.00010.106<0.0001
    CollegePop−0.0230.42020.0410.0051−0.0250.7546−0.0890.16430.0230.4796−0.0250.4233
Change 1980–1990
    ΔEstabs80s0.0500.1412−0.0210.3548−0.090.1855−0.0980.16550.0750.01300.0880.0082
    ΔJobs80s0.0800.03480.072<0.00010.08080.11680.1360.0190−0.0080.83750.0120.7595
    ΔPop80s0.135<0.00010.135<0.00010.2210.00400.2440.00050.323<0.00010.339<0.0001
Rho0.0480.04470.0290.03820.2110.07610.1700.06440.0430.21870.0420.2437
Constant−0.0830.78890.1700.2954−0.2500.7281−0.0290.95750.0920.80450.1300.7343
R2c0.760.900.440.470.480.46
Start-ups90s
ΔEstabs90s
ΔJobs90s
Sa
Eb
Eb
Sa
Sa
Eb
Dependent variablesβProb(|t|)βProb(|t|)βProb(|t|)βProb(|t|)βProb(|t|)βProb(|t|)
Creative and entrepreneurial
    Creative90s0.0890.02130.0610.00480.1770.00870.1530.05010.1310.00870.1470.0033
    Entre context0.432<0.00010.874<0.00010.286<0.00010.3720.00070.216<0.00010.0500.3225
    Creative × Context0.0400.00210.0220.00610.2460.00130.3060.00030.0640.00130.0550.0142
Industry
    Farm0.1610.00070.0730.00310.0440.58710.1630.00890.1120.0154-0.0680.1993
    Mining0.1040.0019−0.0270.05510.1140.0044−0.0510.16120.251<0.00010.240<0.0001
    Mfg Dur0.165<0.00010.0120.3420−0.0600.09250.0370.26620.0860.00630.0830.0165
    Mfg Nondur0.177<0.00010.0050.7364−0.0030.93490.0710.09710.1530.00010.157<0.0001
    Prod Serv−0.0240.2670−0.0070.5193−0.0370.49370.0020.9744−0.0380.1550−0.0310.2791
    Tourism−0.0420.0862−0.0170.2175−0.0610.4114−0.0090.86080.0290.35550.0320.3132
Labor market
    Educ HS+0.0210.57400.0160.51190.1290.10160.1370.03630.0120.81490.0240.6485
    Educ BA/BS+0.0160.66540.0350.10680.0190.83820.0950.2421−0.0630.1513−0.0190.6617
    Emp rate0.1250.00030.0640.0040−0.0920.1365−0.1010.07170.0830.06140.0630.1688
    Median Inc−0.0260.4955−0.0450.0942−0.0190.7847−0.0290.62180.1330.00380.1620.0005
    Pop 8–170.0460.20620.0290.15020.0540.50380.0400.54220.0380.33080.0400.3004
Urban influence
    Density0.280<0.0001−0.0340.1297−0.0850.34270.0570.39250.1550.00100.1380.0042
    Commuting0.190<0.00010.143<0.00010.1420.00370.174<0.00010.0800.00990.162<0.0001
Local amenities
    Outdoor Amen0.211<0.00010.167<0.00010.2140.00010.1910.00040.1390.00370.1360.0030
    Pub land0.0310.13300.0140.30450.0530.28320.0500.2468−0.0020.9462−0.0010.9835
    Pop 62+−0.0080.80040.0480.0061−0.1170.2452−0.1320.10790.0990.0127−0.0640.0907
Demography
    Black0.0680.00750.111<0.0001−0.0810.07960.0800.04490.161<0.00010.212<0.0001
    NativeAm0.0450.0244−0.0280.1028−0.0750.1132−0.0480.25490.0530.05150.0370.1720
    Hispanic−0.0110.63120.063<0.0001−0.0420.2973−0.0710.06090.0090.8045−0.0250.4734
Institutions
    Military0.0500.00060.0020.82320.0070.7523−0.0380.06260.0920.00010.106<0.0001
    CollegePop−0.0230.42020.0410.0051−0.0250.7546−0.0890.16430.0230.4796−0.0250.4233
Change 1980–1990
    ΔEstabs80s0.0500.1412−0.0210.3548−0.090.1855−0.0980.16550.0750.01300.0880.0082
    ΔJobs80s0.0800.03480.072<0.00010.08080.11680.1360.0190−0.0080.83750.0120.7595
    ΔPop80s0.135<0.00010.135<0.00010.2210.00400.2440.00050.323<0.00010.339<0.0001
Rho0.0480.04470.0290.03820.2110.07610.1700.06440.0430.21870.0420.2437
Constant−0.0830.78890.1700.2954−0.2500.7281−0.0290.95750.0920.80450.1300.7343
R2c0.760.900.440.470.480.46

All models include state fixed effects. N = 3043, k = 104. Coefficients significant at the 5% are in bold.

aEquations with Self-emp as the measure of entrepreneurial context.

bEquations with Estabs/emp as the measure of entrepreneurial context.

cBecause spatial regimes were estimated simultaneously with metropolitan counties, separate R2 were not available for the nonmetropolitan counties. These are R2 estimated prior to adding spatial analysis.

Table 4.

Regressions of growth on creative class, entrepreneurial context, their interaction and other county characteristics for all rural counties

Start-ups90s
ΔEstabs90s
ΔJobs90s
Sa
Eb
Eb
Sa
Sa
Eb
Dependent variablesβProb(|t|)βProb(|t|)βProb(|t|)βProb(|t|)βProb(|t|)βProb(|t|)
Creative and entrepreneurial
    Creative90s0.0890.02130.0610.00480.1770.00870.1530.05010.1310.00870.1470.0033
    Entre context0.432<0.00010.874<0.00010.286<0.00010.3720.00070.216<0.00010.0500.3225
    Creative × Context0.0400.00210.0220.00610.2460.00130.3060.00030.0640.00130.0550.0142
Industry
    Farm0.1610.00070.0730.00310.0440.58710.1630.00890.1120.0154-0.0680.1993
    Mining0.1040.0019−0.0270.05510.1140.0044−0.0510.16120.251<0.00010.240<0.0001
    Mfg Dur0.165<0.00010.0120.3420−0.0600.09250.0370.26620.0860.00630.0830.0165
    Mfg Nondur0.177<0.00010.0050.7364−0.0030.93490.0710.09710.1530.00010.157<0.0001
    Prod Serv−0.0240.2670−0.0070.5193−0.0370.49370.0020.9744−0.0380.1550−0.0310.2791
    Tourism−0.0420.0862−0.0170.2175−0.0610.4114−0.0090.86080.0290.35550.0320.3132
Labor market
    Educ HS+0.0210.57400.0160.51190.1290.10160.1370.03630.0120.81490.0240.6485
    Educ BA/BS+0.0160.66540.0350.10680.0190.83820.0950.2421−0.0630.1513−0.0190.6617
    Emp rate0.1250.00030.0640.0040−0.0920.1365−0.1010.07170.0830.06140.0630.1688
    Median Inc−0.0260.4955−0.0450.0942−0.0190.7847−0.0290.62180.1330.00380.1620.0005
    Pop 8–170.0460.20620.0290.15020.0540.50380.0400.54220.0380.33080.0400.3004
Urban influence
    Density0.280<0.0001−0.0340.1297−0.0850.34270.0570.39250.1550.00100.1380.0042
    Commuting0.190<0.00010.143<0.00010.1420.00370.174<0.00010.0800.00990.162<0.0001
Local amenities
    Outdoor Amen0.211<0.00010.167<0.00010.2140.00010.1910.00040.1390.00370.1360.0030
    Pub land0.0310.13300.0140.30450.0530.28320.0500.2468−0.0020.9462−0.0010.9835
    Pop 62+−0.0080.80040.0480.0061−0.1170.2452−0.1320.10790.0990.0127−0.0640.0907
Demography
    Black0.0680.00750.111<0.0001−0.0810.07960.0800.04490.161<0.00010.212<0.0001
    NativeAm0.0450.0244−0.0280.1028−0.0750.1132−0.0480.25490.0530.05150.0370.1720
    Hispanic−0.0110.63120.063<0.0001−0.0420.2973−0.0710.06090.0090.8045−0.0250.4734
Institutions
    Military0.0500.00060.0020.82320.0070.7523−0.0380.06260.0920.00010.106<0.0001
    CollegePop−0.0230.42020.0410.0051−0.0250.7546−0.0890.16430.0230.4796−0.0250.4233
Change 1980–1990
    ΔEstabs80s0.0500.1412−0.0210.3548−0.090.1855−0.0980.16550.0750.01300.0880.0082
    ΔJobs80s0.0800.03480.072<0.00010.08080.11680.1360.0190−0.0080.83750.0120.7595
    ΔPop80s0.135<0.00010.135<0.00010.2210.00400.2440.00050.323<0.00010.339<0.0001
Rho0.0480.04470.0290.03820.2110.07610.1700.06440.0430.21870.0420.2437
Constant−0.0830.78890.1700.2954−0.2500.7281−0.0290.95750.0920.80450.1300.7343
R2c0.760.900.440.470.480.46
Start-ups90s
ΔEstabs90s
ΔJobs90s
Sa
Eb
Eb
Sa
Sa
Eb
Dependent variablesβProb(|t|)βProb(|t|)βProb(|t|)βProb(|t|)βProb(|t|)βProb(|t|)
Creative and entrepreneurial
    Creative90s0.0890.02130.0610.00480.1770.00870.1530.05010.1310.00870.1470.0033
    Entre context0.432<0.00010.874<0.00010.286<0.00010.3720.00070.216<0.00010.0500.3225
    Creative × Context0.0400.00210.0220.00610.2460.00130.3060.00030.0640.00130.0550.0142
Industry
    Farm0.1610.00070.0730.00310.0440.58710.1630.00890.1120.0154-0.0680.1993
    Mining0.1040.0019−0.0270.05510.1140.0044−0.0510.16120.251<0.00010.240<0.0001
    Mfg Dur0.165<0.00010.0120.3420−0.0600.09250.0370.26620.0860.00630.0830.0165
    Mfg Nondur0.177<0.00010.0050.7364−0.0030.93490.0710.09710.1530.00010.157<0.0001
    Prod Serv−0.0240.2670−0.0070.5193−0.0370.49370.0020.9744−0.0380.1550−0.0310.2791
    Tourism−0.0420.0862−0.0170.2175−0.0610.4114−0.0090.86080.0290.35550.0320.3132
Labor market
    Educ HS+0.0210.57400.0160.51190.1290.10160.1370.03630.0120.81490.0240.6485
    Educ BA/BS+0.0160.66540.0350.10680.0190.83820.0950.2421−0.0630.1513−0.0190.6617
    Emp rate0.1250.00030.0640.0040−0.0920.1365−0.1010.07170.0830.06140.0630.1688
    Median Inc−0.0260.4955−0.0450.0942−0.0190.7847−0.0290.62180.1330.00380.1620.0005
    Pop 8–170.0460.20620.0290.15020.0540.50380.0400.54220.0380.33080.0400.3004
Urban influence
    Density0.280<0.0001−0.0340.1297−0.0850.34270.0570.39250.1550.00100.1380.0042
    Commuting0.190<0.00010.143<0.00010.1420.00370.174<0.00010.0800.00990.162<0.0001
Local amenities
    Outdoor Amen0.211<0.00010.167<0.00010.2140.00010.1910.00040.1390.00370.1360.0030
    Pub land0.0310.13300.0140.30450.0530.28320.0500.2468−0.0020.9462−0.0010.9835
    Pop 62+−0.0080.80040.0480.0061−0.1170.2452−0.1320.10790.0990.0127−0.0640.0907
Demography
    Black0.0680.00750.111<0.0001−0.0810.07960.0800.04490.161<0.00010.212<0.0001
    NativeAm0.0450.0244−0.0280.1028−0.0750.1132−0.0480.25490.0530.05150.0370.1720
    Hispanic−0.0110.63120.063<0.0001−0.0420.2973−0.0710.06090.0090.8045−0.0250.4734
Institutions
    Military0.0500.00060.0020.82320.0070.7523−0.0380.06260.0920.00010.106<0.0001
    CollegePop−0.0230.42020.0410.0051−0.0250.7546−0.0890.16430.0230.4796−0.0250.4233
Change 1980–1990
    ΔEstabs80s0.0500.1412−0.0210.3548−0.090.1855−0.0980.16550.0750.01300.0880.0082
    ΔJobs80s0.0800.03480.072<0.00010.08080.11680.1360.0190−0.0080.83750.0120.7595
    ΔPop80s0.135<0.00010.135<0.00010.2210.00400.2440.00050.323<0.00010.339<0.0001
Rho0.0480.04470.0290.03820.2110.07610.1700.06440.0430.21870.0420.2437
Constant−0.0830.78890.1700.2954−0.2500.7281−0.0290.95750.0920.80450.1300.7343
R2c0.760.900.440.470.480.46

All models include state fixed effects. N = 3043, k = 104. Coefficients significant at the 5% are in bold.

aEquations with Self-emp as the measure of entrepreneurial context.

bEquations with Estabs/emp as the measure of entrepreneurial context.

cBecause spatial regimes were estimated simultaneously with metropolitan counties, separate R2 were not available for the nonmetropolitan counties. These are R2 estimated prior to adding spatial analysis.

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