Skip to main content

Advertisement

Log in

Environmental change and fishermen’s income: is there a poverty trap

Evidence from China’s coastal areas

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

The unequal cost and benefit led by environmental changes may potentially set China’s rural areas a “Poverty Trap.” Therefore, clarifying the relationship between environmental changes and rural income distribution is of great significance to realize the organic integration of environmental improvement and poverty governance. Based on the panel data of China’s coastal areas, this paper explores the mutual influence between environmental changes and fishermen’s income distribution, thus testing the hypothesis of the poverty-environment trap. The results show that environmental degradation has a significant negative impact on fishermen’s income. To be specific, compared with the middle- and high-income groups, the impact of environmental degradation on people with less income is more noticeable; as for the low-income groups represented by fishermen, the marginal effects of their income reduction on environmental degradation are more prominent; continuous decrease of their income together with environmental deterioration will form a vicious circle, bringing the risk of falling into the poverty-environment trap. In the follow-up environmental governance, authorities need to impose targeted measures and adopt tax or subsidy policies that are inclusive and preferential, so as to address the income gaps between fishermen and further relative poverty.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Notes

  1. The “fishermen” discussed in this paper mainly refers to career fishermen who make a living mainly by fishing or aquaculture, and whose registered household is located in coastal fishing villages.

  2. In order to verify the validity of instrument variables, this paper carries out the under-identification test and weak instrumental variable verification. Results show that the statistical magnitude of Kleibergen-Paap LM used for under-identification test is 32.749, and the corresponding p value is 0, which strongly rejects the original hypothesis of under-identification. Hasen J statistical magnitude used for the over-identification is 0, meaning that there is no over-identification. Thereby, the model can provide just identification. Additionally, the Cragg-Donald Wald F statistic is 20.110, which is significantly higher than 16.38, the tolerable critical value at the significance level of 10%. This rejects the original hypothesis of “weak instrumental variables.” Therefore, it is reasonable and valid to adopt Engel’s coefficient as the instrumental variable.

References

  • Acemoglu D (2002) Directed technical change. Rev Econ Stud 69:781–809

    Article  Google Scholar 

  • Ali S, Yusop Z, Kaliappan SR, Chin L (2020) Dynamic common correlated effects of trade openness, FDI, and institutional performance on environmental quality: evidence from OIC countries. Environ Sci Pollut Res 27(11):11671–11682

    Article  Google Scholar 

  • Angelsen A, Jagger P, Babigumira R, Belcher B, Hogarth N J, Bauch S, Börner J, Smith-Hall C, Wunder S (2014) Environmental income and rural livelihoods: a global-comparative analysis. World Dev 64:S12–S28

    Article  Google Scholar 

  • Azam M, Khan AQ (2016) Urbanization and environmental degradation: evidence from four Saarc countries—Bangladesh, India, Pakistan, and Sri Lanka. Environ Progr Sustain Energy 35:823–832

    Article  CAS  Google Scholar 

  • Baland JM, Platteau JP (1997) Wealth inequality and efficiency in the commons part I: the unregulated case. Oxf Econ Pap 49:451–482

    Article  Google Scholar 

  • Barrett CB, Bevis LE (2015) The self-reinforcing feedback between low soil fertility and chronic poverty. Nat Geosci 8:907–912

    Article  CAS  Google Scholar 

  • Barrett CB, Garg T, McBride L (2016) Well-being dynamics and poverty traps. Annu Rev Resour Econ 8:303–327

    Article  Google Scholar 

  • Bremner J, López-Carr D, Suter L, Davis J (2010) Population, poverty, environment, and climate dynamics in the developing world. Interdiscip Environ Rev 11:112–126

    Article  Google Scholar 

  • Cavendish W (2000) Empirical regularities in the poverty-environment relationship of rural households: evidence from Zimbabwe. World Dev 28:1979–2003

    Article  Google Scholar 

  • Chaigneau T, Coulthard S, Brown K, Daw TM, Schulte-Herbrüggen B (2019) Incorporating basic needs to reconcile poverty and ecosystem services. Conserv Biol 33:655–664

    Article  Google Scholar 

  • Cheng X, Shuai C, Liu J, Wang J, Liu Y, Li W, Shuai J (2018) Topic modelling of ecology, environment and poverty nexus: an integrated framework. Agric Ecosyst Environ 267:1–14

    Article  Google Scholar 

  • Dasgupta S, Deichmann U, Meisner C, Wheeler D (2005) Where is the poverty–environment nexus? Evidence from Cambodia, Lao PDR, and Vietnam. World Dev 33:617–638

    Article  Google Scholar 

  • Dauvergne P (2018) The power of environmental norms: marine plastic pollution and the politics of microbeads. Environ Politics 27:579–597

    Article  Google Scholar 

  • Davidson K, Gowen RJ, Harrison PJ, Fleming LE, Hoagland P, Moschonas G (2014) Anthropogenic nutrients and harmful algae in coastal waters. J Environ Manag 146:206–216

    Article  CAS  Google Scholar 

  • den Braber B, Evans KL, Oldekop JA (2018) Impact of protected areas on poverty, extreme poverty, and inequality in Nepal. Conserv Lett 11:e12576

    Article  Google Scholar 

  • Duraiappah AK (1998) Poverty and environmental degradation: a review and analysis of the nexus. World Dev 26:2169–2179

    Article  Google Scholar 

  • Erdoğan S, Çakar ND, Ulucak R, Kassouri Y (2021) The role of natural resources abundance and dependence in achieving environmental sustainability: evidence from resource-based economies. Sustain Dev 29(1):143–154

    Article  Google Scholar 

  • Fisher M (2004) Household welfare and forest dependence in Southern Malawi. Environ Dev Econ 9(2):135–154

    Article  Google Scholar 

  • Flintsch GW (2008) Life-cycle assessment as a tool for sustainable transportation infrastructure management. Environ Conscious Transp 257–282

  • Galvao AF, Kato K (2016) Smoothed quantile regression for panel data. J Econom 193:92–112

    Article  Google Scholar 

  • Hardadi G, Buchholz A, Pauliuk S (2021) Implications of the distribution of German household environmental footprints across income groups for integrating environmental and social policy design. J Ind Ecol 25 (1):95–113

    Article  Google Scholar 

  • Kassa G, Teferi B, Delelegn N (2018) The poverty-environment nexus in developing countries: evidence from Ethiopia: a systematic review. Asian J Agric Ext Econ Sociol 24(3):1–13

    Google Scholar 

  • Kraay A, McKenzie D (2014) Do poverty traps exist? Assessing the evidence. J Econ Perspect 28:127–48

    Article  Google Scholar 

  • Lade SJ, Haider LJ, Engström G, Schlüter M (2017) Resilience offers escape from trapped thinking on poverty alleviation. Sci Adv 3:e1603043

    Article  Google Scholar 

  • Lawlor K, Handa S, Davis B, Seidenfeld D, et al. (2020) Poverty-environment relationships under market heterogeneity: cash transfers and rural livelihoods in Zambia. Environ Dev Econ 25:291–314

    Article  Google Scholar 

  • Lein AA, Setiawina ND (2018) Factors affecting the fishermen household income and welfare. Int Res J Manag IT Social Sci 5:80–90

    Google Scholar 

  • Liu M, Feng X, Wang S, Qiu H (2020) China’s poverty alleviation over the last 40 years: successes and challenges. Aust J Agric Resour Econ 64:209–228

    Article  Google Scholar 

  • Machado JA, Mata J (2005) Counterfactual decomposition of changes in wage distributions using quantile regression. J Appl Econom 20:445–465

    Article  Google Scholar 

  • Magnani E (2000) The environmental Kuznets curve, environmental protection policy and income distribution. Ecological economics 32:431–443

    Article  Google Scholar 

  • Masron TA, Subramaniam Y (2019) Does poverty cause environmental degradation? Evidence from developing countries. J Poverty 23:44–64

    Article  Google Scholar 

  • Millimet DL, Roy J (2016) Empirical tests of the pollution haven hypothesis when environmental regulation is endogenous. J Appl Econom 31:652–677

    Article  Google Scholar 

  • Morse S (2018) Relating environmental performance of nation states to income and income inequality. Sustain Dev 26:99–115

    Article  Google Scholar 

  • Nwokoro CV, Chima FO (2017) Impact of environmental degradation on agricultural production and poverty in rural Nigeria. Am Int J Contemp Res 2:6–14

    Google Scholar 

  • Olanipekun IO, Olasehinde-Williams GO, Alao RO (2019) Agriculture and environmental degradation in Africa: the role of income. Sci Total Environ 692:60–67

    Article  CAS  Google Scholar 

  • Rizk R, Slimane MB (2018) Modelling the relationship between poverty, environment, and institutions: a panel data study. Environ Sci Pollut Res 25:31459–31473

    Article  CAS  Google Scholar 

  • Robinson EJ (2016) Resource-dependent livelihoods and the natural resource base. Annu Rev Resour Econ 8:281–301

    Article  Google Scholar 

  • Ruch W, Geyer HS Jr (2017) Public capital investment, economic growth and poverty reduction in South African municipalities. Reg Sci Policy Pract 9:269–284

    Article  Google Scholar 

  • Sequeira TN, Santos M, Ferreira-Lopes A (2017) Income inequality, TFP, and human capital. Econ Rec 93:89–111

    Article  Google Scholar 

  • Shuai J, Cheng X, Tao X, Shuai C, Wang B (2019) A theoretical framework for understanding the spatial coupling between poverty and the environment: a case study from China. Agron J 111:1097–1108

    Article  Google Scholar 

  • Teh LC, Ota Y, Cisneros-Montemayor AM, Harrington L, Swartz W (2020) Are fishers poor? Getting to the bottom of marine fisheries income statistics. Fish Fish 21:471–482

    Article  Google Scholar 

  • Teng X, Zhao Q, Zhang P, Liu L, Hu H, Yue Q, Ou L, Xu W, et al. (2019) Implementing marine functional zoning in China. Mar Policy 103484

  • Uitto JI (2016) The environment-poverty nexus in evaluation: implications for the sustainable development goals. Glob Policy 7:441–447

    Article  Google Scholar 

  • Vitaliano DF (2010) Engel curves and the unitary theory of the household. Int J Consum Stud 34:69–72

    Article  Google Scholar 

  • Watmough GR, Atkinson PM, Saikia A, Hutton CW (2016) Understanding the evidence base for poverty–environment relationships using remotely sensed satellite data: an example from Assam, India. World Dev 78:188–203

    Article  Google Scholar 

  • Weisberg RH, Liu Y, Lembke C, Hu C, Hubbard K, Garrett M (2019) The coastal ocean circulation influence on the 2018 West Florida Shelf K. brevis red tide bloom. J Geophys Res: Oceans 124:2501–2512

    Article  Google Scholar 

  • Wolde-Rufael Y, Idowu S (2017) Income distribution and CO2 emission: a comparative analysis for China and India. Renew Sustain Energy Rev 74:1336–1345

    Article  Google Scholar 

  • Wunder S, Börner J, Shively G, Wyman M (2014) Safety nets, gap filling and forests: a global-comparative perspective. World Dev 64:S29–S42

    Article  Google Scholar 

  • Young H, Ismail MA (2019) Complexity, continuity and change: livelihood resilience in the Darfur region of Sudan. Disasters 43:S318–S344

    Article  Google Scholar 

  • Zimmerman FJ, Carter MR (2003) Asset smoothing, consumption smoothing and the reproduction of inequality under risk and subsistence constraints. J Dev Econ 71:233–260

    Article  Google Scholar 

Download references

Funding

This study was supported in part by grants from Social Science Planning Research Project of Shandong “Research on the Stagnation and Breakthrough Path of Relative Poverty Management in Shandong Province after 2020” (Grant No. 20CDCJ21), the key project of plan in research and development of Shandong “Research on the protection and utilization of marine fishery germplasm resources in Shandong Province” (Grant No. 2020RZE29007), the Natural Science Foundation of Shandong “Research on the Long-term Path of Poverty Alleviation in Agricultural Industry from the Perspective of High-Quality Development” (Grant No. ZR2020QG045). The Fundamental Research Funds for the Central Universities (Grant No. 202013011), the China Postdoctoral Science Foundation (Grant No. 2019M652486), and The National Natural Science Foundation of China (NSFC) project “Research on the Collaborative Governance of Marine Eco-Economic System: Behavioural Orientation, Dynamic Game and Strategic Approach” (Grant No. 71904181).

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Hanxiao Xu, Bin Yuan, and Qiang Gao. The first draft of the manuscript was written by Hanxiao Xu and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Bin Yuan.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Responsible Editor: Baojing Gu

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gao, Q., Xu, H. & Yuan, B. Environmental change and fishermen’s income: is there a poverty trap. Environ Sci Pollut Res 28, 60676–60691 (2021). https://doi.org/10.1007/s11356-021-14254-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-021-14254-1

Keywords

Navigation