Natural hazards and the influence on the shadow economy: non-linear evidence from panel analysis

被引:0
作者
Nguyen, Canh Phuc [1 ,2 ]
Nguyen, Binh Quang [3 ]
Tran, Duyen Thuy Le [3 ]
机构
[1] Univ Econ Ho Chi Minh City, Coll Econ Law & Govt, Sch Publ Finance, 59C Nguyen Dinh Chieu,Dist 3, Ho Chi Minh City 700000, Vietnam
[2] Univ Econ Ho Chi Minh City, Hlth & Agr Policy Res Inst, Coll Econ Law & Govt, 279 Nguyen Tri Phuong,Dist 10, Ho Chi Minh City 700000, Vietnam
[3] Univ Econ Ho Chi Minh City, 59C Nguyen Dinh Chieu,Dist 3, Ho Chi Minh City 700000, Vietnam
关键词
Natural hazards; Risk; Uncertainty; Economic vulnerability; Shadow economy; Panel data; D81; Q54; O17; FINANCIAL DEVELOPMENT; CORRUPTION; DETERMINANTS; UNEMPLOYMENT; UNCERTAINTY; IMPACT;
D O I
10.1007/s10668-024-05541-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Due to climate change and global warming, levels of risk and uncertainty of natural hazards such as storms, flooding, sea level rise have increased. This study endeavours to analyse how this risk and uncertainty impact the shadow economy in a sample of 144 countries from 2011 to 2017, comprising seven regions and four income groups. The study documents the inverted U-shaped effects of natural hazards on the shadow economy. The results imply that increases of natural risk and uncertainty from a low level motivate economic agents to operate/work in informal sectors. The increasing effect is turned into a negative effect when level of natural risk and uncertainty pass a certain threshold. Inverted U-shaped effects are found in upper-middle and high-income countries, while mixed effects are documented in low- and lower-middle-income countries. Inverted U-shaped effects also exist in Europe & Central Asia and Sub-Saharan Africa, while other regions show mixed effects. The findings suggest that governments should invest more into coping and adaptive capacities against climate change, which could bring duo benefits of avoiding consequences from natural hazards along with lower shadow economy.
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页数:27
相关论文
共 90 条
[41]   Spatial spillovers of pollution onto the underground sector [J].
Goel, Rajeev K. ;
Saunoris, James W. .
ENERGY POLICY, 2020, 144
[42]   Drivers of the underground economy for over a century: A long term look for the United States [J].
Goel, Rajeev K. ;
Saunoris, James W. ;
Schneider, Friedrich .
QUARTERLY REVIEW OF ECONOMICS AND FINANCE, 2019, 71 :95-106
[43]   Does variability in crimes affect other crimes? The case of international corruption and shadow economy [J].
Goel, Rajeev K. ;
Saunoris, James W. .
APPLIED ECONOMICS, 2019, 51 (03) :239-258
[44]   Unemployment and international shadow economy: gender differences [J].
Goel, Rajeev K. ;
Saunoris, James W. .
APPLIED ECONOMICS, 2017, 49 (58) :5828-5840
[45]   Shining a light on the shadows: Identifying robust determinants of the shadow economy [J].
Goel, Rajeev K. ;
Nelson, Michael A. .
ECONOMIC MODELLING, 2016, 58 :351-364
[46]   Generalized least squares inference in panel and multilevel models with serial correlation and fixed effects [J].
Hansen, Christian B. .
JOURNAL OF ECONOMETRICS, 2007, 140 (02) :670-694
[47]  
Hao L., 2007, Quantile regression, DOI DOI 10.4135/9781412985550
[48]  
Henningsen A., 2019, Panel Data Econometrics, P345, DOI [DOI 10.1016/B978-0-12-814367-4.00012-5, 10.1016/B978-0-12-814367-4.00012-5 10.1016/B978-0-12-814367-4.00012-5]
[49]  
HENRY S, 1988, SOCIAL JUSTICE, V15, P29
[50]   The building blocks of economic complexity [J].
Hidalgo, Cesar A. ;
Hausmann, Ricardo .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (26) :10570-10575