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This paper identifies factors that affect entry and exit of beginning, young and women farmers and ranchers.

The empirical framework is fixed effects regression analysis that uses county level data to evaluate how barriers to entry, access to and use of credit, local economic environment, and climate affect entry and exit of Beginning Farmers and Ranchers (BFRs). The dataset is assembled from several sources matching the Census of Agriculture years for the period of 1997–2017.

Results show that new farmers are more likely to enter in counties with more and smaller farms and with lower farm productivity, indicating that BFRs have the potential to improve the overall productivity in such counties if able to grow and succeed. The results also indicate that the high capital intensity nature of farming is an effective barrier to entry. BFRs are more likely to do better in counties where agriculture is more important to the economy and with more off-farm work opportunities. The net entry is positively associated with higher input/output price index and the use of insurance but is unaffected by government payments and farm and off-farm income. The authors observe substitutability between farming and alternative self-employment for more entrepreneurial young people. Net entry increases with availability of non-real-estate loans but decreases with real estate credit. Thus, for BFRs to acquire the assets needed to reach optimal scale, access to credit remains essential.

The authors are not aware of other work that estimates how barriers to entry and other economic factors including access to credit affect entry and exit of BFRs of various ages and young and women farmers using the Census of Agriculture data up to 2017.

The purpose of this study is to evaluate if access to local branch infrastructure of the farm credit system institutions (FCS), banks and credit unions (BCU), and alternative financial services (AFS) providers is related to the use of credit from non-traditional lenders (NTLs). The focus is on beginning and women operators who are typically credit constrained and thus more likely to suffer from closures of bank branches and consolidation of traditional agricultural lenders.

Informed by Detragiache et al. (2000), the authors specify farmers’ use of loans as a function of their access to credit (measured by the branch density of each lender type) along with operator’s and operation’s controls. The measures of loans by NTLs (number, use, share and lender type) require the use of Poisson, Probit, Tobit and Multinomial Logit techniques. This study utilizes individual producer data from the 2018 Agricultural Resource Management Survey and 2018 county-level branch density data for FCS, BCU and AFS providers.

Access to credit from FCS is helpful to BFRs only, while access to AFS is associated with the use of loans from NTLs by women but not by BFRs. As expected, access to BCU credit matters for the use of loans from NTLs, with a complementary effect for BFRs but a substitution effect for women’s use of such loans.

There are no studies on local agricultural credit markets in the US that evaluate the implications from changes in access to credit on credit-constrained borrowers and their use of NTLs’ credit.

The purpose of this paper is to provide evidence of the positive impact of the FCS lending on farm incomes which should be useful to policymakers as they consider reforms and further support for this 100-year-old major agricultural lender.

The authors construct a panel for the 1991-2010 period from the FCS financial statements and evaluate how lending by the FCS institutions has affected farm incomes and farm output. The authors use fixed effects estimations and control for credit by other agricultural lenders as well as the stock of capital, prices, and interest rates. Since previous work suggests that rural financial markets are segmented and the FCS serves larger full-time farmers with mostly real-estate backed loans, the authors evaluate the impacts of farm real-estate backed loans and of short-term agricultural loans separately for a shorter period for which the data is available. The authors also perform robustness checks with alternative estimation techniques.

The authors found a positive association between credit by the FCS institutions and farm income and output. The magnitude of the estimated impact is larger during the 1990s than in the 2000s.

The positive link between the FCS institutions’ credit and farm incomes and output supports the notion that the FCS lending was beneficial to farmers. The evidence also supports the segmentation hypothesis of rural financial markets. The financial reports data for 1991-2010 are from the ACAs and FLCAs aggregated on the regional level because there is no clear way to classify FCS lending to a more disaggregate level like the state. The authors also assemble and analyze a state-level data set that contains state-level balance sheet data for the period 1991-2003.

The authors are not aware of another work that directly links (real estate and non-real estate) credit by FCS institutions to agricultural output and farm incomes.

Financial inclusion is measured by the number of people who use the formal financial system and banks in particular. Limited access to formal banking services and the existence of unbanked households is a main policy concern. The authors evaluate how the use of prepaid (reloadable) debit cards by unbanked households affects financial inclusion and specifically the potential for these households to participate in the formal financial system and open a bank account.

The authors apply matching models to analyze survey data from the Federal Deposit Insurance Corporation National Survey of the Unbanked and Underbanked Households from 2009 to 2019 and evaluate how prepaid cards use affects plans to open a bank account.

Unbanked households who use prepaid cards are 5% less likely to open a bank account compared to the matched nonusers of prepaid cards. In addition, prepaid card users are 12% more likely to use nonbanks to transfer money/transact online and 18% more likely to have obtained loans from alternative financial services providers compared to the matched unbanked nonusers of prepaid debit cards.

No previous work has estimated the causal impact of use of prepaid cards on financial inclusion.

In this paper, the authors set out to establish if there is a link between finance and economic growth in rural areas. The purpose of this paper is to evaluate the relation between credit by major lenders in rural areas – commercial banks and Farm Credit System (FCS) institutions – and economic growth for the period 1991-2010.

The motivation for this work comes from empirical studies showing a link between economic development and financial system development as well as from work which highlights the positive role of long-term finance provided by banks. The authors use two alternative panel data sets and fixed effects models to estimate the causal effect of credit supply (with lagged explanatory variables) on agricultural GDP growth per rural resident.

The authors find a positive association between agricultural lending and agricultural GDP growth per rural resident with additional billion in loans (about a third of the actual average) associated with 7-10 percent higher state growth rate with this association stronger during the 1990s. Regional data confirm these results. The results point to a positive link between credit and economic growth in rural areas during that period, attributable to the lending by FCS institutions and by commercial banks.

Data availability limits the scope of this paper. The authors use state level balance sheet data available for the 1991-2003 period and annual data for 2003-2010 period. An additional regional data set is constructed for 1991-2010 with more aggregated data for the ten USDA agricultural production regions. The small number of panels limits the ability to use more sophisticated econometric models and the choice of dependent variables that captures economic growth.

By provides evidence that agricultural finance and in particular lending contribute significantly to the growth of US agriculture, this paper contributes to the policy debate on weather support for agricultural finance initiatives is justified.

The authors are not aware of another study that has linked agricultural lending by commercial banks and FCS institutions to growth in rural areas in the USA.

Since 2004, subsidies increased by 670 percent in the Chinese fertilizer industry to reduce the farmer's burden. The purpose of this paper is to assess whether subsidies benefit the target groups, the fertilizer subsidy distribution pattern and benefit allocation pattern among fertilizer producers and other sectors were investigated.

The Muth model is extended to evaluate the impacts of a subsidy on multi-stage markets.

It is found that the total benefits from the policy are about RMB 7.7 billion yuans. The fertilizer suppliers gain about RMB 51 billion yuans from the favorable policy with mean subsidy incidence 0.8 and capturing about 70 percent of total surplus.

The results suggest that transferring parts of subsidies to the non-fertilizer sectors could be considered an efficient way to redistribute welfare indifferent sectors.

This study first use the equilibrium displacement model to quantity the distribution of fertilizer subsidy in a vertical market in China.

Agricultural and fishery disasters are rather obscure emergency management research topics. However, the Food and Agriculture Sector is one of only 16 critical infrastructure sectors included in the Robert T. Stafford Disaster Relief and Emergency Assistance Act of 1988, and the sector is a vital component of the United States economy. As climate change continues to increase the frequency and severity of agricultural and fishery disasters, the Food and Agricultural Sector must adapt to and cope with unprecedented levels of risk. This chapter provides an overview of federal agricultural and fishery disaster policy and explores whether such policies are consistent with Jerroleman’s (2019)principles of just recovery.

Microfinancing is one of the most essential tools for fighting world poverty. But what if microfinancing were a living entity like all of us? How would microfinancing narrate its life story to the world? The current viewpoint essay generates critical reflections on microfinancing, in the light of contemporary observations, experiences, literature reviews and logical reasoning and narrates the autobiography of microfinancing in its own words.

The paper adopts a first-person omniscient methodology, where microfinancing is the narrator of its life story. Microfinancing is well aware of its perception among other characters (stakeholders), such as practitioners, academics, researchers and lawmakers.

The paper concludes that microfinancing can eradicate world poverty. However, to do so, microfinancing should achieve financial sustainability. While the institutionalists support the financial self-reliance of microfinancing, welfarists contend for donor-based support. Some argue that financial objectives cause a drift in the social mission of microfinancing (mission drift), for which it was conceived in the first place. Nevertheless, in line with the contemporary literature, the current essay, while narrating the story of microfinancing, strongly supports its institutionalization. It is only through financial sustainability that microfinancing can continue its fight against world poverty.

Focusing on the institutionalization of microfinancing should provide practical implications for managers.

The viewpoint supports the fight against world poverty via the sustainability of the microfinancing sector.

In a unique way of narrating the autobiography, the essay intends to draw significant attention to the sustainability of microfinancing. The paper intends to draw more attention toward research on the microfinancing sector to fight world poverty.

Credit may help farmers survive and grow by helping farm households cope with farm or off-farm income variation and by allowing farmers to adopt more efficient production technologies and take advantage of scale economies. This study estimates how credit constraints affect the survival and growth of beginning farms and explores how this effect varies depending on the age of the farm operator.

Farms businesses are classified as credit constrained using a measure of repayment capacity: the interest expense ratio (interest expenses relative to gross income). Linked data from consecutive Agricultural Censuses are used to track individual farms over time.

Results show that beginning farms with a high interest expense ratio take on less new debt over the subsequent five years. These credit-constrained farms were found to have lower five-year survival and growth rates than similar unconstrained farms. The negative effect of being constrained on growth is greater for farms with operators younger than 40 years old.

The finding that credit constraints impede the growth and survival of beginning farms supports a rationale for targeted loan programs designed to help beginning farmers. Results suggest that some of the benefits from these programs will be greater for farms with younger operators.

This study is the first to estimate the effect of credit constraints on the survival and growth of farm businesses. The expansive farm-level panel dataset, which includes almost all beginning farmers in the US, allows for precise coefficient estimates while controlling for numerous farm and operator characteristics.