Aggregative effect on rice production due to climate change using index number under indeterminate environment: a case study from Punjab, Pakistan

The existing Laspeyres index, Paasche’s index, and Fisher’s index under classical statistics cannot be applied when observations are indeterminate, imprecise, and uncertain. In this paper, the Laspeyres index, Paasche’s index, and Fisher’s index are introduced to deal with the data having neutrosoph...

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Veröffentlicht in:Theoretical and applied climatology Jg. 147; H. 1-2; S. 283 - 290
1. Verfasser: Aslam, Muhammad
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Vienna Springer Vienna 01.01.2022
Springer
Springer Nature B.V
Schlagworte:
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Atmospheric Sciences
Case studies
Cereal crops
Climate change
Climate science
Climatic indexes
Climatology
Comparative analysis
Comparative studies
Crop production
Earth and Environmental Science
Earth Sciences
Environmental aspects
Global temperature changes
Original Paper
Pakistan
Rice
Statistical methods
statistics
Waste Water Technology
Water Management
Water Pollution Control
India
Punjab Pakistan
Pakistan
ISSN:0177-798X, 1434-4483
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Zusammenfassung:The existing Laspeyres index, Paasche’s index, and Fisher’s index under classical statistics cannot be applied when observations are indeterminate, imprecise, and uncertain. In this paper, the Laspeyres index, Paasche’s index, and Fisher’s index are introduced to deal with the data having neutrosophy. We present these indexes when indeterminacy is present in the data. To see the aggregate change in the production of rice crops due to climate change under an uncertain environment, data is collected from nine districts of Punjab, Pakistan. From the data and comparative studies, it is concluded that the proposed indexes are more informative, flexible, and suitable to be applied under indeterminate conditions.
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ISSN:0177-798X
1434-4483
DOI:10.1007/s00704-021-03832-5