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A Study on the Impact of China’s Free Trade Zone Construction on the Coordinated Development of Regional Economies in the Context of Institutionalized Openness

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17 mar 2025

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Figure 1.

Theory model
Theory model

Figure 2.

Localized Moran diagram of coordinated regional economic development in 2013 (left) and 2022 (right)
Localized Moran diagram of coordinated regional economic development in 2013 (left) and 2022 (right)

The robustness test

Variable name Coefficient (geographic weight matrix)
Policy 0.011***(0.003)
W*policy 0.020*(0.012)
Controlled variable Yes
Double fixation effect Yes

The Global Moran Index of the coordinated development of regional economy

Year Moran’s I Z value P value
2013 0.185* 1.888 0.059
2014 0.195** 1.961 0.050
2015 0.213** 2.112 0.035
2016 0.230** 2.243 0.025
2017 0.235** 2.279 0.023
2018 0.237** 2.289 0.022
2019 0.265** 2.511 0.012
2020 0.296*** 2.764 0.006
2021 0.303*** 2.824 0.005
2022 0.312*** 2.884 0.004

The spatial effect decomposition of the space-time dual fixed effect spatial Dobbin model

Variable name Direct effect Indigo effect Gross effect
Policy 0.008**(0.004) 0.023*(0.012) 0.031**(0.014)
Taxes 0.037***(0.011) -0.067*(0.035) -0.030(0.038)
Urban 0.151***(0.029) -0.015(0.084) 0.136(0.095)
Information -0.078***(0.009) -0.041(0.025) -0.119***(0.028)
Capital -4.420***(1.085) -1.232(3.293) -5.652(3.849)
Government -0.233***(0.055) -0.514***(0.152) -0.747***(0.176)

Variable definition table

Name Symbol Description
Coordinated development of regional economy Coordination Index system for the coordinated development of regional economy
Free trade zone construction Policy Dummy variable
Tax revenue Taxes Log of the tax revenue of the provincial and municipal governments
Urbanization Urban Urban population number is log
Information level Information Logarithm of the total post and telecommunications business volume
Human capital level Capital The ratio of the number of college students to the total permanent resident population of the region
Government intervention Government The ratio of general public budget expenditure to gross regional product

Results of the model regression

Variable name Model 1 Model 2 Model 3
Policy 0.009**(0.003) 0.006*(0.003) 0.006*(0.003)
Taxes 0.039***(0.011) 0.048***(0.011) 0.043***(0.011)
Urban 0.144***(0.028) 0.149***(0.028) 0.149***(0.029)
Information -0.072***(0.009) -0.069***(0.009) -0.075***(0.009)
Capital -4.010***(1.051) -4.011***(1.029) -4.328***(1.028)
Government -0.223***(0.047) -0.195***(0.050) -0.197***(0.053)
W*Policy 0.011*(0.007)
W*Taxes -0.059**(0.024)
W*Urban -0.076(0.056)
W*Information 0.006(0.017)
W*Capital 1.170(2.167)
W*Government -0.244**(0.095)
Rho 0.384***(0.044) 0.424***(0.061)
Lambda 0.492***(0.055)
Log-L 806.1670 803.7324 816.3694
Hausman test 216.79*** 138.16*** 197.76***
LR test 20.40*** 25.27***
yearfix YES YES YES
idfix YES YES YES

Index system for coordinated regional economic development

Name of index Primary indicators Secondary indicators Unit
Coordinated development of regional economy Economic vigor Total retail sales of social consumption Ten thousand yuan
Local fiscal revenue Ten thousand yuan
Value of import and export Ten thousand yuan
Economic strength Per capita gdp values Yuan
Per capita disposable income Yuan
Per capita social consumption and total retail sales Yuan
Economic structure The proportion of the secondary industry in gdp %
The proportion of the tertiary industry in gdp %

Descriptive statistics

Variable Observed value Mean Standard deviation Least value Crest value
Coordination 300 0.226 0.137 0.0682 0.753
Policy 300 0.383 0.487 0 1
Taxes 300 7.402 0.866 5.165 9.286
Urban 300 7.696 0.738 5.635 9.155
Information 300 7.344 1.251 4.212 10.42
Capital 300 0.0216 0.00564 0.00887 0.0436
Government 300 0.250 0.101 0.107 0.643

The LM test

Test Statistics P value
LM-Lag test 7.684 0.006
Robust LM-Lag test 19.376 0.000
LM-Error test 8.225 0.004
Robust LM-Error test 19.916 0.000