Comparison of Yield and Cost Data of Cotton Crop Production During 2019 and 2020 in Baluchistan

The study was carried out through a primary as well as secondary data collection from several stakeholders to examine the average position of cotton production, average per acre cost of production, physical and income productivity, economic profit, input output ratio, problems and constraints, faced by cotton farmers and to recommend policy measures for maintainable cotton production and marketing in study area. Statistics examines were performed by retaining the descriptive figures as well as standard economic methods. A mixture of qualitative and measurable methodical procedures such as cost of production, market limits, regression analysis, cross tabulation analysis were carried out. The study was carry out in Lasbella, Sibi, Noshki, Turbat, Dera Bugti and Khuzdar districts in Balochistan. The data were gathered from 77 farmers of cotton growers and collected material was related to cotton production in Kharif 2019 and 2020. Majority of cotton growers were small land holders and age was 48.33 years. The average seed rate was 10.50kgs/acre and purchasing price was Rs.344.33/kg during 2019 & 2020 correspondingly. The budget of production was Rs.91762.50 and total revenue was Rs. 192297.5 per acre in 2020 respectively. The average profit/net income of cotton growers received was Rs. 100535 and Rs.95225.77 per acre in 2020 and 2019 respectively.

Authors

Institutions

Publication Details

Journal
The Asian Bulletin of Big Data Management
Published
2024-09-30
DOI
https://doi.org/10.62019/abbdm.v4i3.231
Primary Topic
Agricultural Economics and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of Yield and Cost Data of Cotton Crop Production During 2019 and 2020 in Baluchistan

Zaheeruddin Mirani, Jumo Khan Bajkani, Hamz Ali Samoon, Shamasuddin Tunio et al.
The Asian Bulletin of Big Data Management
Agricultural Economics and Practices
article

Comparison of Yield and Cost Data of Cotton Crop Production During 2019 and 2020 in Baluchistan

Zaheeruddin Mirani, Jumo Khan Bajkani, Hamz Ali Samoon, Shamasuddin Tunio, Hakimzadi Wagan, Nisar Ahmed Soomro
article en

Abstract

The study was carried out through a primary as well as secondary data collection from several stakeholders to examine the average position of cotton production, average per acre cost of production, physical and income productivity, economic profit, input output ratio, problems and constraints, faced by cotton farmers and to recommend policy measures for maintainable cotton production and marketing in study area. Statistics examines were performed by retaining the descriptive figures as well as standard economic methods. A mixture of qualitative and measurable methodical procedures such as cost of production, market limits, regression analysis, cross tabulation analysis were carried out. The study was carry out in Lasbella, Sibi, Noshki, Turbat, Dera Bugti and Khuzdar districts in Balochistan. The data were gathered from 77 farmers of cotton growers and collected material was related to cotton production in Kharif 2019 and 2020. Majority of cotton growers were small land holders and age was 48.33 years. The average seed rate was 10.50kgs/acre and purchasing price was Rs.344.33/kg during 2019 & 2020 correspondingly. The budget of production was Rs.91762.50 and total revenue was Rs. 192297.5 per acre in 2020 respectively. The average profit/net income of cotton growers received was Rs. 100535 and Rs.95225.77 per acre in 2020 and 2019 respectively.

The Asian Bulletin of Big Data ManagementVol. 4(3)
Pakistan Agricultural Research Council (PK), Sindh Agriculture University (PK)
Openalex Percentile: Top 65%
Agricultural Economics and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.