Spatial variability of agricultural development in West Bengal, India: a multivariate statistical approach

Halder, Jadab Chandra

doi:10.1007/s10708-021-10393-7

GeoJournal

2021

DOI: 10.1007/s10708-021-10393-7

|View full text |Cite

Spatial variability of agricultural development in West Bengal, India: a multivariate statistical approach

Jadab Chandra Halder¹

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

2023

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

(1 citation statement)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, the availability of livestock products is below the norm of the Indian Council of Medical Research (ICMR). Despite the effort over the past three decades to reduce the demand-supply gap of livestock products by augmenting the productivity of livestock and poultry birds, the annual shortfall is about 36 million tonnes of milk, 4644 million numbers of eggs and 378 thousand tonnes of meat (Halder et al, 2018). Hence, this study has attempted to identify different livestockbased farming systems in both saline and normal areas and also to suggest to the farmers an optimum farm plan using a lexicographic goal programming approach.…”

mentioning

confidence: 99%

Optimizing Farm Plan in Saline and Normal Areas of West Bengal - A Lexicographic Goal Programming Approach

DAS¹,

Raju

Malhotra

et al. 2022

JISCAR

View full text Add to dashboard Cite

Salinity has deleterious effects on both crops and livestock. An optimum farm plan is essential to adapt to this hazard. The present study made an effort to develop an optimum farm plan for the livestockbased farming systems in saline and normal areas of West Bengal. In the case of both saline and normal areas, farmers put the highest priority on maximizing gross margin, followed by achieving self-financial support and minimizing the income risk of the farm. Optimal solutions under a few farming systems were over-achieved in the second goal (achieving self-financial support). Since it is maximizing type of goal constraint, over-achievement is not a problem. However, the third goal (minimizing income risk of the farm) was also over-achieved in most of the farming systems. The optimal solution does not always satisfy all the goals, but it will provide a solution that satisfies the goal with the highest priority and comes as close as possible to satisfy the least prioritized goal i.e., minimizing the income risk of the farm. The result of the optimum farm plan shows that if a farmer wants to maximize his income, he has to bear some risks. Since the major share of total income is received from livestock, the optimum plan suggests increasing the number of livestock in the systems and hence the farmers should divert available resources to this enterprise.

show abstract

mentioning

confidence: 99%

Optimizing Farm Plan in Saline and Normal Areas of West Bengal - A Lexicographic Goal Programming Approach

DAS¹,

Raju

Malhotra

et al. 2022

JISCAR

View full text Add to dashboard Cite

show abstract

A new method for multispace analysis of multidimensional social exclusion

et al. 2023

View full text Add to dashboard Cite

Social phenomena are multidimensional and dependent on geographic space. Numerous methods are capable of representing multidimensional social phenomena through a composite indicator. Among these methods, principal component analysis (PCA) is the most used when considering the geographical perspective. However, the composite indicators built by the method are sensitive to outliers and dependent on the input data, implying informational loss and specific eigenvectors that make multi-space–time comparisons impossible. This research proposes a new method to overcome these problems: the Robust Multispace PCA. The method incorporates the following innovations. The sub-indicators are weighted according to their conceptual importance in the multidimensional phenomenon. The non-compensatory aggregation of these sub-indicators guarantees the function of the weights as of relative importance. Aggregating indicators in dimensions balances the weight structure of dimensions in the composite indicator. A new scale transformation function that eliminates outliers and allows multispatial comparison reduces by 1.52 times the informational loss of the composite indicator of social exclusion in eight cities' urban areas. The Robust Multispace-PCA has a high potential for appropriation by researchers and policymakers, as it is easy to follow, offers more informative and accurate representations of multidimensional social phenomena, and favors the development of policies at multiple geographic scales.

show abstract

A regional model for the variability of Agricultural development: evidence from a drought-prone region of Rarh Bengal, Eastern India

Sutradhar

Daspattanayak

2023

Model. Earth Syst. Environ.

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Spatial variability of agricultural development in West Bengal, India: a multivariate statistical approach

Cited by 3 publications

References 39 publications

Optimizing Farm Plan in Saline and Normal Areas of West Bengal - A Lexicographic Goal Programming Approach

Optimizing Farm Plan in Saline and Normal Areas of West Bengal - A Lexicographic Goal Programming Approach

A new method for multispace analysis of multidimensional social exclusion

A regional model for the variability of Agricultural development: evidence from a drought-prone region of Rarh Bengal, Eastern India

Contact Info

Product

Resources

About