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Predictors of Sustainability of New Energy Vehicle Industry in China

Na Wang, Althea Denuevo
Psychology and Education: A Multidisciplinary Journal · 2025-11-28 · DOI 10.70838/pemj.490702
Token #6786
✓ Verified on SciChain. The record below hashes to exactly the content hash stored on chain for token #6786.
Token#6786 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0xf5f4d65244012052cef468906f33696f1e023454db983b4c490f135960b0acc8 · block 12108878
Minted2026-10-02 09:55 UTC
Hash on chain0x39622fec5cf30e30f455bc441717547951f0a53e73bff0669ea2c6bd603c00cf
SHA-256 of the record0x39622fec5cf30e30f455bc441717547951f0a53e73bff0669ea2c6bd603c00cf
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Na Wang 0x5C91fe24…47CF45 450,000 450,000
Althea Denuevo 0xd423e7c4…65267b 450,000 450,000

The anchored record

Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain.

{"abstract":"This study examines the factors influencing the sustainability of China's new energy vehicle (NEV) industry within the broader context of industrial upgrading and green transformation. It specifically examines how government subsidies, infrastructure investment, and R&D expenditures impact financial and non-financial sustainability indicators, including profitability, operational efficiency, and ESG performance. A descriptive–correlational design was employed, utilizing panel data from 277 listed NEV enterprises in China, spanning the period from 2015 to 2024. Secondary data were retrieved from the iFinD database and analyzed using SPSS through correlation and multiple regression analyses. Sustainability was measured in terms of net profit margin, return on assets (ROA), return on investment (ROI), ESG score, and sustainable growth rate. Results revealed that infrastructure investment exhibits a statistically significant negative relationship with financial sustainability indicators, indicating an \"investment efficiency paradox\" where high capital intensity constrains short-term profitability. Government subsidies and R&D expenditures had no significant influence on corporate sustainability, suggesting diminishing marginal returns to subsidies and delayed payoffs from innovation investment. The findings further highlight structural imbalances within the NEV ecosystem, where midstream enterprises dominate but long-term sustainability remains constrained by innovation diversity and policy–enterprise misalignment. Policymakers should transition from scale-driven to quality-oriented support mechanisms by optimizing subsidies, investing in smart infrastructure, and incentivizing core technology R&D. Enterprises must integrate ESG principles and innovation efficiency to achieve balanced profitability and sustainability. This study provides empirical evidence on the interaction between policy, investment behavior, and sustainability in China's NEV industry, advancing theoretical and practical understanding of green industrial transformation and sustainable supply chain resilience.","abstract_source":"original","authors":["Na Wang","Althea Denuevo"],"date":"2025-11-28","doi":"10.70838/pemj.490702","id":6786,"issue":7,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"1a4754f2c8873958ed2625b0371883115f80bc234ae12708ebd61da3f1220db2","schema":"scimatic-article/1","title":"Predictors of Sustainability of New Energy Vehicle Industry in China","volume":49}

Check it yourself

1. The record, from the token's own metadata:

printf '%s' "$(curl -s https://scimatic.org/nft/articles/6786.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(6786)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000001a82"},"latest"]}'

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