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Shadow prices of environmental outputs and production efficiency of household-level paper recycling units in Vietnam

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  • Van Ha, Nguyen
  • Kant, Shashi
  • Maclaren, Virginia

Abstract

The production efficiency and shadow prices of three environmental outputs (BOD, COD, and SS) of 63 household-level paper-recycling units, from a recycling craft village in Vietnam, are assessed A two-stage procedure, linear programming and stochastic estimation, is used to estimate output distance function. Social capital as a production factor and environmental outputs are included in the output distance function. Results indicate that production efficiencies could potentially be improved by 28%. There is a substantial variation in the shadow prices of environmental outputs among the production units of different types of paper products. Furthermore, the average shadow prices of the three environmental outputs are all positive. This indicates a potential for improving environmental quality though introducing pollution-prevention methods to paper-recycling production processes in Vietnam (e.g., recirculation of wastewater), and suggests that it may be inappropriate to restrict the shadow prices of environmental outputs to be non-positive for the analysis of some production processes.

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  • Van Ha, Nguyen & Kant, Shashi & Maclaren, Virginia, 2008. "Shadow prices of environmental outputs and production efficiency of household-level paper recycling units in Vietnam," Ecological Economics, Elsevier, vol. 65(1), pages 98-110, March.
    • Handle: RePEc:eee:ecolec:v:65:y:2008:i:1:p:98-110
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    5. Parks, Sarah & Gowdy, John, 2013. "What have economists learned about valuing nature? A review essay," Ecosystem Services, Elsevier, vol. 3(C), pages 1-10.
    6. Van Ha, Nguyen & Kant, Shashi & Maclaren, Virginia, 2006. "Relative shadow prices of social capital for household-level paper recycling units in Vietnam," Ecological Economics, Elsevier, vol. 57(3), pages 520-533, May.
    7. Du, Limin & Lu, Yunguo & Ma, Chunbo, 2022. "Carbon efficiency and abatement cost of China's coal-fired power plants," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    8. Lee, Sang-choon & Oh, Dong-hyun & Lee, Jeong-dong, 2014. "A new approach to measuring shadow price: Reconciling engineering and economic perspectives," Energy Economics, Elsevier, vol. 46(C), pages 66-77.
    9. Wei, Chu & Löschel, Andreas & Liu, Bing, 2013. "An empirical analysis of the CO2 shadow price in Chinese thermal power enterprises," Energy Economics, Elsevier, vol. 40(C), pages 22-31.
    10. Asha Gunawardena, 2016. "Cost of Controlling Water Pollution and its Impact on Industrial Efficiency," Working Papers id:11537, eSocialSciences.
    11. Yuanjie Li & Zhuoying Zhang & Minjun Shi, 2019. "Restrictive Effects of Water Scarcity on Urban Economic Development in the Beijing-Tianjin-Hebei City Region," Sustainability, MDPI, vol. 11(8), pages 1-23, April.
    12. Li, Tianxiang & Baležentis, Tomas & Makutėnienė, Daiva & Streimikiene, Dalia & Kriščiukaitienė, Irena, 2016. "Energy-related CO2 emission in European Union agriculture: Driving forces and possibilities for reduction," Applied Energy, Elsevier, vol. 180(C), pages 682-694.
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    14. Serra, Teresa & Poli, Elena, 2015. "Shadow prices of social capital in rural India, a nonparametric approach," European Journal of Operational Research, Elsevier, vol. 240(3), pages 892-903.
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