The Impact of the Digital Economy on Transformation and Upgrading of Industrial Structure: A Perspective Based on the “Poverty Trap”
Abstract
:1. Introduction
2. Theoretical Logic and Mechanism Analysis
2.1. Theoretical Logic
2.1.1. Macrolevel
2.1.2. Mesolevel
2.1.3. Microlevel
2.2. Mechanism Analysis
3. Model Settings and Sample Selection
3.1. Model Setting
3.2. Indicator Selection and Data Sources
3.3. Evaluation Methodology
3.4. Descriptive Statistics
4. Empirical Results Analysis
4.1. Result of Baseline Regression
4.2. Endogeneity Bias and Two-Stage Regression
4.3. Heterogeneity Test Based on Different Levels of Development
4.4. Mediation Effect Test
5. Conclusions
6. Limitations and the Future Directions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Variable | N | Mean | Std. Dev | Min | Max |
---|---|---|---|---|---|
Indust1 | 270 | 1.410 | 0.745 | 0.665 | 5.244 |
2013 | 30 | 2.350 | 0.122 | 2.132 | 2.788 |
2021 | 30 | 2.435 | 0.114 | 2.259 | 2.814 |
Indust2 | 270 | 0.170 | 0.115 | 0.008 | 0.565 |
2013 | 30 | 0.216 | 0.141 | 0.021 | 0.565 |
2021 | 30 | 0.109 | 0.076 | 0.008 | 0.283 |
Digital | 270 | 0.170 | 0.115 | 0.008 | 0.565 |
2013 | 30 | 0.216 | 0.141 | 0.021 | 0.565 |
2021 | 30 | 0.109 | 0.076 | 0.008 | 0.283 |
Capital | 270 | 0.816 | 0.152 | 0.446 | 1.192 |
Labor | 270 | 0.021 | 0.005 | 0.009 | 0.042 |
pergdp | 270 | 9.324 | 0.465 | 8.647 | 10.780 |
market | 270 | 8.239 | 1.848 | 3.580 | 12.390 |
population | 270 | 5.476 | 1.292 | 2.068 | 8.275 |
fdi | 270 | 1.780 | 1.396 | 0.010 | 7.960 |
fiscal | 270 | 0.252 | 0.102 | 0.106 | 0.643 |
Variables | Indust1 | Indust2 | Indust1 | Indust2 |
---|---|---|---|---|
(1) | (2) | (3) | (4) | |
Digital | 0.077 * | −0.356 *** | 0.010 ** | −0.011 * |
(1.71) | (−3.03) | (0.004) | (0.006) | |
lnpergdp | 0.011 | 0.017 | ||
(0.39) | (0.25) | |||
Market | 0.002 | −0.016 ** | ||
(0.81) | (−2.08) | |||
Population | 0.057 | 0.131 | ||
(0.88) | (0.65) | |||
fdi | −0.003 * | −0.011 *** | ||
(-1.83) | (v3.04) | |||
Scale | 0.197 ** | 0.388 | ||
(2.28) | (1.46) | |||
Time/region effect | NO | NO | YES | YES |
Constant | 2.683 *** | 0.404 *** | 2.080 *** | −0.682 |
(62.82) | (3.59) | (4.87) | (−0.45) | |
Observations | 270 | 270 | 270 | 270 |
R-squared | 0.979 | 0.888 | 0.980 | 0.900 |
Stage Ⅰ | Stage Ⅱ | Stage Ⅱ | |
---|---|---|---|
Variables | Digital | Indest1 | Indust2 |
(1) | (2) | (3) | |
Digital | 0.574 *** | −2.310 ** | |
(0.191) | (1.159) | ||
IV | −2.925 * | ||
(−1.90) | |||
Constant | 20.471 *** | 2.250 *** | −1.407 |
(2.81) | (0.593) | (2.420) | |
Control variable/time/region effect | YES | YES | YES |
Observations | 270 | 270 | 270 |
R-squared | 0.889 | 0.968 | 0.676 |
Plan: A | ||||||
---|---|---|---|---|---|---|
Low | Medium | High | Low | Medium | High | |
(1) | (2) | (3) | (4) | (5) | (6) | |
Variables | Indust1 | |||||
Digital | 0.393 *** | 0.313 ** | 0.236 *** | 0.233 ** | 0.313 ** | 0.186 *** |
(4.33) | (2.16) | (3.60) | (2.14) | (2.16) | (3.52) | |
Constant | −0.361 | 1.728 *** | 1.223 *** | 1.230 * | 1.728 *** | 1.252 *** |
(−1.10) | (3.01) | (3.30) | (1.67) | (3.01) | (4.01) | |
R-squared | 0.759 | 0.544 | 0.952 | 0.724 | 0.544 | 0.937 |
Plan: B | ||||||
Variables | Indust2 | |||||
Digital | −0.445 * | −1.049 *** | 0.079 | −0.415 * | −1.049 *** | 0.252 ** |
(−1.76) | (−2.82) | (1.16) | (−1.74) | (−2.82) | (2.64) | |
Constant | −3.802 | −5.250 * | 4.018 *** | −2.878 | −5.250 * | 3.570 *** |
(−0.62) | (−1.74) | (5.31) | (−0.48) | (−1.74) | (5.60) | |
Control variable/time/regional effect | Yes | Yes | Yes | Yes | Yes | Yes |
Observed | 90 | 90 | 90 | 81 | 90 | 63 |
R-squared | 0.928 | 0.898 | 0.963 | 0.936 | 0.898 | 0.963 |
Variables | Labor | Indust1 | Indust2 | Capital | Indust1 | Indust2 |
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
Digital | 0.009 *** | 0.089 ** | −0.191 * | 0.495 *** | 0.083 * | −0.192 * |
(3.00) | (2.25) | (−1.81) | (2.94) | (1.94) | (−1.83) | |
Labor | 1.152 | −10.412 *** | ||||
(0.90) | (−3.35) | |||||
Capital | 0.035 * | −0.206 *** | ||||
(1.77) | (−3.40) | |||||
Constant | 1.104 | 2.041 *** | −0.454 | 0.132 *** | 1.927 *** | 0.715 |
(0.82) | (4.84) | (−0.32) | (4.42) | (4.34) | (1.00) | |
Control variable/time/regional effect | Yes | Yes | Yes | Yes | Yes | Yes |
Observations | 270 | 270 | 270 | 270 | 270 | 270 |
R-squared | 0.867 | 0.980 | 0.910 | 0.968 | 0.980 | 0.909 |
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Pang, J.; Zhang, Y.; Jiao, F. The Impact of the Digital Economy on Transformation and Upgrading of Industrial Structure: A Perspective Based on the “Poverty Trap”. Sustainability 2023, 15, 15125. https://doi.org/10.3390/su152015125
Pang J, Zhang Y, Jiao F. The Impact of the Digital Economy on Transformation and Upgrading of Industrial Structure: A Perspective Based on the “Poverty Trap”. Sustainability. 2023; 15(20):15125. https://doi.org/10.3390/su152015125
Chicago/Turabian StylePang, Jianing, Yimeng Zhang, and Fangyi Jiao. 2023. "The Impact of the Digital Economy on Transformation and Upgrading of Industrial Structure: A Perspective Based on the “Poverty Trap”" Sustainability 15, no. 20: 15125. https://doi.org/10.3390/su152015125