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Map of study area: Toba Tek Singh district, Punjab, Pakistan. 

Map of study area: Toba Tek Singh district, Punjab, Pakistan. 

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This study attempts to estimate credit fungibility (CF) and analyses its factors, using the primary data of 208 smallholders from Punjab province of Pakistan. Findings revealed that smallholders used a significant proportion of obtained credit on non-agricultural purposes. Among three groups of smallholders compared, that is, lower smallholders (⩽1...

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... study is based on a field survey carried out in Toba Tek Singh district of Punjab province, Pakistan ( Figure 1). Covering an area of 3259 km 2 , this district is a plain area with a population of about 1.8 million in 2004 (Pakistan Statistics Division, 2006;DOIP, 2009). Farmers with landholdings up to 12.5 acres account for 89 per cent of all farm households. Notably, 56 per cent of households have landholdings up to 5 acres or about 2 ha only (Table 1). Agricultural lands are fertile with loamy and silt-loamy soils. Owing to high soil fertility and availability of irrigation water, 80 per cent of the total 327 000 ha of cultivable land in the district is under cultivation (PCO, 1998). Sugarcane, wheat, cotton, maize and assorted types of fruit are the major crops. Toba Tek Singh is the second largest producer of citrus in Pakistan after Sargodha district ( Hussain et al, 2014;GOP-DOA, 2009). In addition to crops, the district produces poultry, eggs, beef and milk in surplus and is known as one of the leading districts in poultry production. This district was selected as the study area for two main reasons. First, it is characterized by diverse agricultural systems including food and cash crop farming, orchards, poultry farming and livestock husbandry. Therefore, a vast variety of farming practices was expected among smallholders. Second, the SBP has identified the district as one of the prime target areas for provision of credit for smallholders because of its diverse agricultural systems. During the fiscal year 2008/2009, SBP provided credit to 41 per cent of designated smallholders in the district through Zarai Traqiati Bank Limited, commercial banks and cooperatives. The annual average amount of credit provided was about Rs. 1 110 000/household (SBP, ...

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... Hussain and Thapa (2016), analysing the fungibility of agricultural credit for smallholders in Pakistan, found the same results. Illiteracy positively and significantly affects credit applications in areas where most of the population is illiterate.21 ...
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... Households with access to credit and NFA are likely to improve household income (Argaw et al. 2017;Hussain and Thapa 2016). Also, households trade or save their NFA in financial institutions while most credits are secured from the bank. ...
... The coefficient of access to NFA variable is positive and statistically significant. The finding suggests that access to NFA increases household income, a result confirmed by previous studies (Hussain and Thapa 2016;Leng et al. 2020;Siaw et al. 2020). The farm size variable exerts a positive and significant impact on household income. ...
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... According to Adams and Von Pischke [11] and Atakora [14], the negative impact of credit on rural households' livelihoods is associated with the misappropriation of funds due to financial literacy. The cause of the inverse relationship between agriculture credit and farm productivity can also be attributed to agriculture CF practices among farmers [15,16]. ...
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... In contrast, real expenditure substitution occurs when borrowers use credit for agricultural purposes to accomplish alternative objectives; the latter is the concern of this study. Following Saqib et al. [16] and Hussain and Thapa [15], agriculture CF was analyzed as: ...
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... In addition, a low-income household may not have sufficient funds to acquire required inputs and technologies, which may be a disadvantage to their farm's economic performance Hussain & Thapa, 2016). However, we argue that low-income earners with access to financial services may improve farm performance because of the series of incentives attached to accessing financial services. ...
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... Farm profit had mixed results on loan repayment (Okorie 2004;Ololade et al. 2018;Johnson and Morehart 2006), whereas farms with higher productivity are less credit constrained (Nielsen et al. 2020), and small farmers are highly dependent on credit than prominent farmer (Hussain and Thapa 2015). Khatun et al. (2014) and Chirwa (1997) found that farm size is positively associated with the loan repayment status. ...
... Similarly, an increase in earning members can lead the farmer to repay the loan by 10%. In this case, findings from Hussain and Thapa (2015) are in line with our results (Table 7). Findings showed that farmers who could repay the loan were 12.2% more likely to repay the loan. ...
... In this current study, we found that the majority (56%) of the farmers do not have any secondary source of income, whereas almost 86% of families have only one earning member. Socio-economically, the farmers are poor and vulnerable, making them highly dependent on credit (Hussain and Thapa 2015). However, fish farming is a capital-intensive business (Amjath-Babu et al. 2020), so farmers take loans from different sources simultaneously, affecting credit repayment performance (Charles and Mori 2017;Vogelgesang 2003). ...
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