Impact of Agriculture Loan on Agricultural Farm Productivity: Evidence From District Parachinar, Kurram Agency, Pakistan

Kayani, Ashar Sultan; Mushtaq, Muhammad Saqib; Muddassir, Muhammad; Zia, Muhammad Abubakar

doi:10.22194/jgiass/4.4.757

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…The study’s findings revealed the necessity of evaluating current programs of adaptation to increase the resilience of farmers in Pakistan and, more generally, throughout South Asia. The Auto-Regressive Distributed Model was used on time series data (from 1985 to 2015) by Kayani et al ( 2018 ) to calculate the influence of climate change on agriculture in Punjab, Pakistan. It was estimated that increased average temperature and precipitation and two nonclimatic factors, i.e., fertilizer and loan distribution, considerably impact agricultural production.…”

Section: Introductionmentioning

confidence: 99%

Do farmers’ risk perception, adaptation strategies, and their determinants benefit towards climate change? Implications for agriculture sector of Punjab, Pakistan

Usman

Ali

Bashir

et al. 2023

Environ Sci Pollut Res

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Due to global and regional climatic dynamics for a couple of decades, agricultural productivity, rural livelihood, and food security have been badly affected in Pakistan. This study was conducted in Punjab, Pakistan, to explore the farmers’ understanding of the impacts of climate change, adaptation strategies, determinants, and benefits on agriculture using data from 1080 respondents. Perceived risks by the farmers in the rice-wheat cropping system and the cotton-wheat cropping system were weed infestation, seed rate augmented, low-quality seeds, infestation of crop diseases and pests, change of cropping pattern, increase of input use, decrease of cropping intensity and productivity, decreasing soil fertility, increasing irrigation frequency, and increase of harvesting time. To alleviate the adverse influences of climate change, the adaptation strategies used by farmers were management of crop and variety, soil and irrigation water, diversification of agriculture production systems and livelihood sources, management of fertilizer and farm operations time, spatial adaptation, access to risk reduction measures and financial assets, adoption of new technologies, institutional support, and indigenous knowledge. Moreover, the results of Binary Logistic Regression indicate that adaptation strategies are affected by different factors like age, education, household family size, off-farm income, remittances, credit access, information on climatic and natural hazards, information on weather forecasting, land acreage, the experience of growing crops and rearing of livestock, tenancy status, tube well ownership, livestock inventory, access to market information, agricultural extension services, and distance from agricultural input/output market. There is a significant difference between adapters and nonadapters. The risk management system may be created to protect crops against failures caused by extreme weather events. There is a need to develop crop varieties that are both high yielding and resistant to climate change. Moreover, cropping patterns should be revised to combat the effects of climate change. To enhance farmers’ standard of living, it is necessary to provide adequate extension services and a more significant number of investment facilities. These measures will assist farmers in maintaining their standard of living and food security over the long term to adapt to the effects of climate change based on various cropping zones.

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Section: Introductionmentioning

confidence: 99%

Do farmers’ risk perception, adaptation strategies, and their determinants benefit towards climate change? Implications for agriculture sector of Punjab, Pakistan

Usman

Ali

Bashir

et al. 2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

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The nexus between agricultural loan access and farm income of small-scale cassava processors in Oyo state, Nigeria: An endogenous switching regression approach

2022

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An agricultural loan is an essential tool for transforming commercial agriculture into a profitable venture. In view of this, this study investigated determinants of access to agricultural loans and the profitability of small-scale cassava processing. It also tested whether access to agricultural loans affected the net farm income of cassava processors in Oyo State using budgetary analysis, endogenous switching regression model (ESRM) and augmented inverse probability weighted regression adjustment (AIPWRA) as a robustness check. A multistage random sampling procedure was employed to gather information from 120 cassava processors. The results revealed that female processors dominated cassava processing, and processors had a mean age of 41.1?7.5 years. Only 23% of the respondents had agricultural loan access, which was primarily sourced informally. Budgetary analysis showed that processors earned an average net farm income of N10,449.87 (US$29.03) in a production cycle. Endogenous switching regression analysis revealed that married and educated cassava processors that were socially inclusive and that had a large processing unit and earned meagre off-farm income were more likely to access agricultural loans. Furthermore, education (?=0.019, p<0.1), number of family members working (?=0.241, p<0.01), processors? experience (?=0.028, p<0.05) and enterprise size (?=0.001, p<0.01) influenced the net farm income of processors that had access to agricultural loans. The treatment effect from the AIPWRA result revealed that ATT and POM for cassava processing were 4.5% and 37%, respectively. Business risks, small enterprise size and high interest rate were the major constraints to agricultural loan access. From the foregoing, a need for a technical support system among cassava processors is inevitable. More so, cassava processors should be encouraged to join trade associations, and young processors should be given priority in credit initiatives for cassava processing.

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Impact of Agriculture Loan on Agricultural Farm Productivity: Evidence From District Parachinar, Kurram Agency, Pakistan

Cited by 2 publications

References 6 publications

Do farmers’ risk perception, adaptation strategies, and their determinants benefit towards climate change? Implications for agriculture sector of Punjab, Pakistan

Do farmers’ risk perception, adaptation strategies, and their determinants benefit towards climate change? Implications for agriculture sector of Punjab, Pakistan

The nexus between agricultural loan access and farm income of small-scale cassava processors in Oyo state, Nigeria: An endogenous switching regression approach

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