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Table 2 Key factors and their weights impacting cultural heritage protection (2008–2020)

From: Beyond inundation: a comprehensive assessment of sea level rise impact on coastal cultural heritage in China

Variables

ICH

Relics

Traditional villages

(1) Economy

(2) Population

(3) Land

(4) Economy

(5) Population

(6) Land

(7) Economy

(8) Population

(9) Land

Econ_GDP

2.646*** (0.486)

  

0.954 (0.732)

  

10.826*** (3.355)

  

Econ_tert

0.083*** (0.019)

  

0.060** (0.029)

  

0.195 (0.133)

  

Popu_urban

 

− 0.106*** (1.729)

  

0.117*** (2.592)

  

0.221* (11.988)

 

Popu_rural.a

 

0.106*** (1.729)

  

− 0.117*** (2.592)

  

− 0.221* (11.988)

 

Land_urban

  

0.393*** (0.068)

  

0.632*** (0.101)

  

− 4.343*** (0.455)

Land_ecol

  

− 0.229*** (0.046)

  

− 0.195*** (0.068)

  

− 1.930*** (0.308)

Lib

0.003** (0.001)

0.002** (0.001)

0.002 (0.001)

0.003* (0.002)

0.003* (0.002)

0.002 (0.002)

0.003 (0.008)

0.003 (0.008)

− 0.001 (0.007)

Road

0.906*** (0.318)

0.761** (0.319)

0.355 (0.322)

1.437*** (0.479)

1.663*** (0.478)

0.677 (0.482)

− 3.620* (2.195)

− 3.010 (2.209)

− 1.668 (2.168)

Employ

0.443 (0.302)

0.144 (0.302)

0.303 (0.300)

1.608*** (0.455)

1.773*** (0.453)

1.445*** (0.449)

− 2.205 (2.085)

− 2.339 (2.093)

− 0.093 (2.017)

Scen

− 0.117 (0.111)

− 0.076 (0.111)

− 0.019 (0.110)

− 0.371** (0.168)

− 0.364** (0.166)

− 0.262 (0.165)

− 0.550 (0.768)

− 0.500 (0.769)

− 0.693 (0.741)

Edu

− 1.119** (0.463)

− 0.525 (0.392)

− 0.101 (0.376)

− 1.730** (0.698)

− 0.752 (0.588)

− 1.611*** (0.564)

6.700** (3.202)

13.500*** (2.717)

11.430*** (2.533)

Muse

0.196*** (0.010)

0.194*** (0.010)

0.189*** (0.010)

0.179*** (0.015)

0.186*** (0.015)

0.164*** (0.015)

− 0.031 (0.069)

− 0.011 (0.069)

0.087 (0.067)

Constant

− 35.151*** (7.070)

12.739*** (2.837)

10.874***

(3.304)

− 4.762 (10.655)

0.587 (4.252)

14.910***

(4.949)

− 219.440*** (48.854)

− 90.533*** (19.665)

57.070** (22.247)

\({\gamma }_{t}\)

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

\({\gamma }_{i}\)

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Observations

1,469

1,469

1,469

1,469

1,469

1,469

1,469

1,469

1,469

R-squared

0.527

0.528

0.539

0.589

0.594

0.604

0.238

0.234

0.293

  1. Standard errors in parentheses, ***p < 0.01, **p < 0.05, *p < 0.1
  2. aDue to multicollinearity, as urban and rural population percentages total one, separate regressions were performed, yielding identical results apart from the sign
  3. Variables that are significant at the P-value are considered as Key factors, and their regression coefficients are determined as influence weight