The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Global value chains, technological progress, and environmental pollution: Inequality towards developing countries
Abstract
The production and trade activities of global value chains (GVC) increasingly contribute to the gross domestic product (GDP) of developing countries. However, while the development of domestic economies brings about technological progress, it also may have negative consequences such as environmental pollution. Technological progress can be conducive to reducing pollution emissions. Our motive is to realize the dual effects of technological progress and energy saving and emission reduction in developing countries' participation in the global value chain through research on GVC, technological progress and environmental pollution. Improving environmental quality through technological advances and reducing the adverse effects of inequality in trade status, enabling developing countries to obtain dividends from participating in the value chain as much as possible, and mitigating the adverse effects of environmental pollution during development. And lay the policy foundation for developing countries to go green. However, most of the current researches focus on the relationship between GVC and technological progress or GVC and environmental pollution, and the research on the relationship between the three is scarce. We use the WIOD database to try to find the relationship between developing country global value chain participation, technological progress and environmental pollution. Wang's method for GVC embedding is adopted for empirical research on input and output, energy utilization, high-skilled labor ratio, and pollution emissions in five typical developing countries, namely, Brazil, Russia, India, China, and Mexico. The relationships among the degree of participation in GVC, technological progress, and environmental pollution is studied from the perspective of industries in each country. The outcomes indicate that there is a value chain threshold in developing countries. When the degree of participation in a value chain is lower than the threshold, technological progress can result in an increase in pollution; otherwise, technological progress can reduce emissions. These results provide a theoretical basis and practical suggestions for developing countries to realize their own energy conservation, emission reductions, and green development while participating in globalized value chains. However, because the data related to the WIOD database is limited to 1995-2009, there are a few flaws in data integrity, which is also a challenge we face.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Absorptive Capacity: A New Perspective on Learning and Innovation
Cohen, W. M., & Levinthal, D. A. (1990) · Administrative Science Quarterly · doi:10.2307/2393553 · Cited by 35,728
How does foreign direct investment affect economic growth?
Borensztein, E., De Gregorio, J., & Lee, J.-W. (1998) · Journal of International Economics · doi:10.1016/s0022-1996(97)00033-0 · Cited by 6,038
(2017) · The SHAFR Guide Online · doi:10.1163/2468-1733_shafr_sim010030027 · Cited by 3,263
The nature and growth of vertical specialization in world trade
Hummels, D., Ishii, J., & Yi, K.-M. (2001) · Journal of International Economics · doi:10.1016/s0022-1996(00)00093-3 · Cited by 3,210
Javorcik, B. S. (2004) · American Economic Review · doi:10.1257/0002828041464605 · Cited by 2,950
Productivity and Undesirable Outputs: A Directional Distance Function Approach
Chung, Y. H., Färe, R., & Grosskopf, S. (1997) · Journal of Environmental Management · doi:10.1006/jema.1997.0146 · Cited by 2,949
Sample Splitting and Threshold Estimation
Hansen, B. E. (2000) · Econometrica · doi:10.1111/1468-0262.00124 · Cited by 2,874
How does insertion in global value chains affect upgrading in industrial clusters?
Humphrey, J., & Schmitz, H. (2002) · Regional Studies · doi:10.1080/0034340022000022198 · Cited by 2,584
International Technology Diffusion
Keller, W. (2004) · Journal of Economic Literature · doi:10.1257/0022051042177685 · Cited by 2,330
Javorcik, B. (2002) · World Bank, Washington, DC eBooks · doi:10.1596/1813-9450-2923 · Cited by 2,054
Metadata
- Authors
- Wang, S., He, Y., & Song, M.
- Venue
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 277
- Pages
- 110999
- ISSN
- 0301-4797 (ISSN-L)
- OpenAlex
- W3087967555
- Cited by
- 268
- References
- 44
- FWCI
- 27.17
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Global value chains, technological progress, and environmental pollution: Inequality towards developing countries. https://app.cochat.ai/papers/10.1016/j.jenvman.2020.110999
- The paper
- Wang, S., He, Y., & Song, M. (2021). Global value chains, technological progress, and environmental pollution: Inequality towards developing countries. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2020.110999
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.