How does fiscal transparency reduce SO2 emissions? Treating at the source
Author:
Funder
Heilongjiang Philosophy and Social Sciences Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10668-024-04769-1.pdf
Reference43 articles.
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3. Bhattacharjee, A., Jensen-Butler, C., (2005). Estimation of spatial weights matrix in a spatial error model, with an application to diffusion in housing demand[J].
4. Chen, C., Sun, Y., Lan, Q., et al. (2020). Impacts of industrial agglomeration on pollution and ecological efficiency-A spatial econometric analysis based on a big panel dataset of China’s 259 cities[J]. Journal of Cleaner Production, 258, 120721. https://doi.org/10.1016/j.jclepro.2020.120721
5. Chen, G., Kang, H., & Luna-Reyes, L. F. (2019). Key determinants of online fiscal transparency: A technology-organization-environment framework[J]. Public Performance & Management Review, 42(3), 606–631. https://doi.org/10.1080/15309576.2018.1486213
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