Has the Free Trade Zone Enhanced the Regional Economic Resilience? Evidence from China
Abstract
1. Introduction
2. Literature Review and Theoretical Assumptions
2.1. Pilot Free Trade Zones and Regional Economic Resilience
2.2. The Role of Green Finance in the Transmission
3. Methodology and Data
3.1. Identification Strategy
3.1.1. Difference-in-Differences
3.1.2. Propensity Score Matching-Difference-in-Differences
3.2. Variables Description and Data
4. Results and Analysis
4.1. Basic Regression Analysis
4.2. Heterogeneity Analysis
4.2.1. Batch Heterogeneity
4.2.2. Region Heterogeneity Analysis
4.3. Transmission Mechanism Analysis
5. Robustness Tests
5.1. Parallel Trend Test
5.2. Placebo Test
5.3. PSM-DID
5.4. Winsorization of Data
5.5. Shorten the Data Period
5.6. Replace the Explained Variable
6. Conclusions and Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Secondary Indicators | Factor Loading (PC1) | Factor Loading (PC2) | Communality |
---|---|---|---|
Green securities | 0.79 | 0.25 | 0.70 |
Green credit | 0.82 | 0.21 | 0.72 |
Green investment | 0.76 | 0.30 | 0.68 |
Green insurance | 0.65 | 0.42 | 0.61 |
Green support | 0.33 | 0.73 | 0.64 |
Green funds | 0.29 | 0.68 | 0.54 |
Green rights and interests | 0.41 | 0.59 | 0.51 |
Variance explained | 48.1% | 24.2% | / |
Cumulative variance explained | 48.1% | 72.3% | / |
Variable Type | Name | Measurement Method | Data Source and References | Expected Direction |
---|---|---|---|---|
Dependent | RER | Entropy-based index combining economic growth capacity and stability capacity | China Statistical Yearbook | / |
Independent | FTZ | Dummy = 1 if province has an FTZ in year t | Ministry of Commerce official documents | + |
Moderator | GFin | PCA-based index using 7 indicators | China Financial Statistic Yearbook, Provincial Financial Reports | + |
Controls | FDI | FDI/GDP | China Statistical Yearbook | + |
agg | GDP per square kilometer | China Statistical Yearbook | + | |
BE | China Provincial Business Environment Index | Local Bureau of Commerce public data | + | |
une | Registered unemployment rate (%) | China Statistical Yearbook | − | |
RD | R&D expenditure/GDP | China Statistical Yearbook | + | |
infra | Railway + road mileage per square kilometer | China Statistical Yearbook | + | |
medic | Medical institutions per 10,000 people | China Statistical Yearbook | + |
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Primary Indicator | Secondary Indicators | Measurement Method | Indicator Attributes |
---|---|---|---|
Regional economic resilience (RER) | Economic growth capacity | Per capita disposable income | + |
GDP growth rate | + | ||
Proportion of deposit balances in financial institutions | + | ||
Economic stability capacity | The five-year rolling standard deviation of GDP growth | − | |
Proportion of value added of tertiary industry | + | ||
Proportion of added value of secondary production | + | ||
Proportion of loans outstanding by financial institutions | − |
Primary Indicator | Secondary Indicators | Indicators Description | References |
---|---|---|---|
Green finance | Green securities | Proportion of green bonds in total bonds issued | [34,47] |
Green credit | Proportion of environmental protection credit in total credit | [37,47] | |
Green investment | Environmental pollution control investment/GDP | [8,38] | |
Green insurance | Environmental liability insurance income/total premium income | [47] | |
Green support | Fiscal environmental expenditure/general fiscal expenditure | [7,17] | |
Green funds | Green funds’ market cap/total funds’ market cap | [17] | |
Green rights and interests | Carbon/energy trading volume/total equity trading volume | [34,41] |
VarName | Obs | Mean | SD | Max | Min |
---|---|---|---|---|---|
RER | 390 | 0.3308 | 0.0893 | 0.1948 | 0.7158 |
FTZ | 390 | 0.2923 | 0.4554 | 0.0000 | 1.0000 |
FDI | 390 | 0.7905 | 3.9944 | 0.0472 | 57.3213 |
agg | 390 | 4.5159 | 2.3024 | 0.7667 | 12.1578 |
BE | 390 | 3.4165 | 0.2919 | 2.8000 | 4.0875 |
une | 390 | 3.1978 | 0.7450 | 0.6187 | 5.1659 |
RD | 390 | 0.0110 | 0.0060 | 0.0017 | 0.0324 |
infra | 390 | 40.3370 | 32.1279 | 1.4199 | 132.5447 |
medic | 390 | 7.1862 | 2.4145 | 2.0119 | 12.1555 |
VarName | (1) | (2) |
---|---|---|
RER | RER | |
FTZ | 0.0423 *** | 0.0346 ** |
(2.8956) | (2.5812) | |
FDI | 0.0000 | |
(0.0097) | ||
agg | −0.0115 *** | |
(−4.4573) | ||
BE | 0.1171 ** | |
(2.3944) | ||
une | −0.0215 *** | |
(−3.7463) | ||
RD | 1.1256 | |
(1.1309) | ||
infra | −0.0000 | |
(−0.1378) | ||
medic | −0.0070 *** | |
(−3.2853) | ||
Fixed time | YES | YES |
Fixed city | YES | YES |
N | 390 | 390 |
R2 | 0.1041 | 0.3207 |
VarName | Different Batches | Different Regions | |||
---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | |
RER | RER | RER | RER | RER | |
FTZ × first | 0.1059 *** | ||||
(5.6014) | |||||
FTZ × second | −0.0046 | ||||
(−0.3549) | |||||
FTZ × third | −0.0373 * | ||||
(−1.7864) | |||||
Coastal × FTZ | 0.0524 *** | ||||
(3.5587) | |||||
Inland × FTZ | 0.0086 | ||||
(0.5329) | |||||
Control variables | YES | YES | YES | YES | YES |
Fixed time | YES | YES | YES | YES | YES |
Fixed city | YES | YES | YES | YES | YES |
N | 390 | 390 | 390 | 390 | 390 |
R2 | 0.3849 | 0.3849 | 0.3849 | 0.3349 | 0.3349 |
VarName | (1) GFin | (2) RER |
---|---|---|
FTZ | 0.1439 ** | 0.0096 |
(0.0604) | (0.0084) | |
GFin | 0.1734 *** | |
(0.0072) | ||
Control variables | YES | YES |
Fixed time | YES | YES |
Fixed city | YES | YES |
N | 390 | 390 |
R2 | 0.4469 | 0.7349 |
Bootstrap | 95% Conf. Interval | |
_bs_1 | 0.0018 | 0.0224 |
_bs_2 | 0.0110 | 0.0586 |
Sobel Z | 2.405 ** |
Relative Year (t-T) | Coefficient | Std. Error | p-Value | 95% Conf. Interval |
---|---|---|---|---|
−6 | 0.002 | 0.011 | 0.857 | [−0.019, 0.023] |
−5 | −0.005 | 0.010 | 0.631 | [−0.025, 0.015] |
−4 | 0.008 | 0.009 | 0.372 | [−0.009, 0.025] |
−3 | −0.003 | 0.008 | 0.715 | [−0.019, 0.013] |
−2 | 0.001 | 0.007 | 0.886 | [−0.013, 0.015] |
−1 | 0.004 | 0.006 | 0.521 | [−0.008, 0.016] |
Covariate | Mean (T) | Mean (C) | Std. Bias (%) | t-Test (p) | After Matching: Std. Bias (%) | After Matching: t-Test (p) |
---|---|---|---|---|---|---|
FDI | 1.24 | 0.68 | 23.5 | 0.032 | 4.1 | 0.781 |
agg | 5.12 | 3.89 | 18.7 | 0.045 | 3.2 | 0.812 |
BE | 3.62 | 3.21 | 16.9 | 0.058 | 2.8 | 0.835 |
RD | 0.015 | 0.009 | 21.3 | 0.039 | 3.5 | 0.796 |
VarName | PSM-DID | Winsorize Data | Change Period | Replace Variable | Replace Variable |
---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | |
RER | RER | RER | RER_1 | RER_2 | |
FTZ | 0.0374 ** | 0.0325 *** | 0.0378 *** | 0.1349 * | 0.0298 * |
(2.0583) | (2.8213) | (2.7258) | (1.7726) | (2.0073) | |
Control variables | YES | YES | YES | YES | YES |
Fixed time | YES | YES | YES | YES | YES |
Fixed city | YES | YES | YES | YES | YES |
N | 172 | 390 | 330 | 390 | 390 |
R2 | 0.4090 | 0.3250 | 0.3190 | 0.1229 | 0.3015 |
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Zhang, H.; Tian, C. Has the Free Trade Zone Enhanced the Regional Economic Resilience? Evidence from China. Sustainability 2025, 17, 6951. https://doi.org/10.3390/su17156951
Zhang H, Tian C. Has the Free Trade Zone Enhanced the Regional Economic Resilience? Evidence from China. Sustainability. 2025; 17(15):6951. https://doi.org/10.3390/su17156951
Chicago/Turabian StyleZhang, Henglong, and Congying Tian. 2025. "Has the Free Trade Zone Enhanced the Regional Economic Resilience? Evidence from China" Sustainability 17, no. 15: 6951. https://doi.org/10.3390/su17156951
APA StyleZhang, H., & Tian, C. (2025). Has the Free Trade Zone Enhanced the Regional Economic Resilience? Evidence from China. Sustainability, 17(15), 6951. https://doi.org/10.3390/su17156951