Agricultural production planning approach based on interval fuzzy credibility-constrained bi-level programming and Nerlove supply response theory-Reference-Cited by-同舟云学术

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Agricultural production planning approach based on interval fuzzy credibility-constrained bi-level programming and Nerlove supply response theory

Published:2019-10 Issue: Volume:233 Page:1158-1169
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Zhang Fan,Engel Bernard A.,Zhang Chenglong,Guo Shanshan,Guo Ping,Wang Sufen

Funder

National Natural Science Foundation of China

National Key R&D Program of China

China Scholarship Council

Purdue University

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference26 articles.

1. An export coefficient based inexact fuzzy bi-level multi-objective programming model for the management of agricultural nonpoint source pollution under uncertainty;Cai;J. Hydrol.,2018

2. Impacts of climate change on agriculture: evidence from China;Chen;J. Environ. Econ. Manag.,2016

3. A multi-risk assessment framework for agricultural land use optimization;Cui;Stoch. Environ. Res. Risk Assess.,2019

4. An interval parameter conditional value-at-risk two-stage stochastic programming model for sustainable regional water allocation under different representative concentration pathways scenarios;Fu;J. Hydrol.,2018

5. An integrated bi-level optimization model for air quality management of Beijing's energy system under uncertainty;Jin;J. Hazard Mater.,2018

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2. An integrated water resources management model considering carbon source and sink under uncertainty: A case study of agricultural water-dominated basin;Journal of Cleaner Production;2024-01

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4. Effects of government policies reform on environmental sustainability: An integrated approach of PMP and system dynamics simulation model;Journal of Cleaner Production;2023-11

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