Agricultural Finance Review最新文献

{"title":"The impact of supply chain disruptions on stock market returns during COVID-19","authors":"Hélène Flore Nguemgaing, A. Sant’Anna","doi":"10.1108/afr-06-2021-0083","DOIUrl":"https://doi.org/10.1108/afr-06-2021-0083","url":null,"abstract":"PurposeHow has COVID-19 impacted meat processors' stock returns? The authors evaluate the effects of supply chain disruptions (e.g. lockdowns and COVID-19 incidences among workers) on stock market prices of meat processors during the COVID-19 pandemic.Design/methodology/approachThis study uses an event study approach to examine the disruptions from COVID-19 through events such as plant shutdowns, the pandemic announcement, lockdown dates and the first case of COVID-19 outbreaks in meat processing plants. The dataset includes S&P 500, Google Trends, financial beta and data collected for 14 US publicly traded meat processing companies.FindingsResults show that nationwide events (e.g. announcement of the pandemic) had no statistically significant impact on average abnormal returns of meat processing companies. Individually, however, firms experienced negative abnormal returns. COVID-19-related events in individual meat processing companies had a temporary negative abnormal return in the days prior to the event.Originality/valueThis study has two main contributions. First, the authors estimate the effect of COVID-19 on the returns of meat processors. Second, the authors use Google Trends to estimate the expected stock markets returns of meat processing companies. This study provides insight to investors on the behavior of industry returns from events such as outbreaks that affect human health.","PeriodicalId":46748,"journal":{"name":"Agricultural Finance Review","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45564081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Principal operators' farm risk attitudes in hot and cold climates","authors":"A. Wahdat, M. Gunderson","doi":"10.1108/afr-06-2021-0087","DOIUrl":"https://doi.org/10.1108/afr-06-2021-0087","url":null,"abstract":"PurposeThe study investigates whether there is an association between climate types and farm risk attitudes of principal operators.Design/methodology/approachThe study exploits temperature variation in the diverse climate types across the US and defines hot- and cold-climate states. Ordered logit and generalized ordered logit models are used to model principal operators' farm risk attitudes, which are measured on a Likert scale. The study uses two datasets. The first dataset is a 2017 survey of US large commercial producers (LCPs). The second dataset provides a Köppen-Geiger climate classification of the US at a spatial resolution of 5 arcmin for a 25-year period (1986–2010).FindingsThe study finds that principal operators in hot-climate states are 4–5% more likely to have a higher willingness to take farm risk compared to principal operators in cold-climate states.Research limitations/implicationsIt is likely that farm risk mitigation decisions differ between hot- and cold-climate states. For instance, the authors show that corn acres' enrollment in federal crop insurance and computers' usage for farm business are pursued more intensely in cold-climate states than in hot-climate states. A differentiation of farm risk attitude by hot- and cold-climate states may help agribusiness, the government and economists in their farm product offerings, farm risk management programs and agricultural finance models, respectively.Originality/valueBased on Köppen-Geiger climate classification, the study introduces hot- and cold-climate concepts to understand the relationship between climate types and principal operators' farm risk attitudes.","PeriodicalId":46748,"journal":{"name":"Agricultural Finance Review","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45764466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Addressing the agricultural financing gap in Malaysia via Manihah Agricultural Financing Model: will Islamic banks go the extra mile?","authors":"Nur Hasnida Abd Rahman, M. Z. Md Zabri, Mohammad M. Ali","doi":"10.1108/afr-04-2021-0043","DOIUrl":"https://doi.org/10.1108/afr-04-2021-0043","url":null,"abstract":"PurposeThis paper introduces the concept of manihah and develops a conceptual framework to address Malaysia's abandoned lands and food security issues.Design/methodology/approachThis is a conceptual paper based on insights from the existing literature and secondary data on food security, abandoned lands and manihah. Based on the prevailing gaps, the study proposes a conceptual framework of the Manihah Agricultural Financing Model to address Malaysia's abandoned land and food security issues.FindingsThe proposed model can address abandoned lands and food security issues due to the new incorporation of manihah within Malaysia's agricultural and Islamic financial industries' milieu.Research limitations/implicationsThis is a conceptual paper mainly intended to spark a discussion on the potentiality of manihah.Practical implicationsThe paper contends that Islamic banks have a crucial role in furthering the socio-economic development agenda under the value-based intermediation (VBI). The paper will also be an excellent introduction to Islamic bank practitioners in understanding manihah's relevance to their daily operation.Originality/valueThis paper introduces manihah as the potential solution to food security issues by utilizing abandoned lands.","PeriodicalId":46748,"journal":{"name":"Agricultural Finance Review","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42676673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The regional economy of Central Macedonia: an application of the social accounting matrix","authors":"Anthia Maniati, E. Loizou, D. Psaltopoulos, K. Mattas","doi":"10.1108/afr-02-2021-0019","DOIUrl":"https://doi.org/10.1108/afr-02-2021-0019","url":null,"abstract":"PurposeThe economic and social problems, including high unemployment, facing the Greek economy in recent years are substantial. The role of the agri-food sector and agriculture in dealing with unemployment is a concern. To support the agricultural economy, a Common Agricultural Policy (CAP) 2007–2014 was adopted and implemented in the EU Member States. However, boosting employment, in the industry itself and indirectly in the economy, has almost never been a key goal of any policy. The purpose of this paper is to examine the role of the CAP 2014–2020 in maintaining and enhancing employment and income distribution in the region of Central Macedonia.Design/methodology/approachThe authors used the regional social accounting matrix (SAM), which examines the depiction of the interconnections between the sectors of economic activity and local economy (households, businesses, public) but also interconnections and transactions with the rest of the world. The SAM presents a more complete picture of the economic figures of the region, evaluating the interconnections of cross-sectoral relations and the implemented policies, both in the production sectors and in the regional society.FindingsFor the Central Macedonia region, the agricultural sector is a key player, holding a regulatory role for regional economic viability, and shows marked connections with the other industry branches of the region.Originality/valueThe new CAP 2014–2020 through Pillar 2–Rural Development may reinforce the new role of the industry in terms of the environment, integrated rural development and social structure of rural areas, ensuring coherence.","PeriodicalId":46748,"journal":{"name":"Agricultural Finance Review","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43391874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nontraditional credit in the Wisconsin dairy industry","authors":"A. Stevens","doi":"10.1108/afr-05-2021-0068","DOIUrl":"https://doi.org/10.1108/afr-05-2021-0068","url":null,"abstract":"PurposeThe purpose of this article is to document and evaluate patterns of nontraditional credit use among Wisconsin dairy farmers. Using a survey-based case study approach, this article analyzes farmer and farm characteristics, farmers’ utilization of credit and farmers’ perceptions of nontraditional lenders. The findings are connected to ongoing structural change in the dairy sector and economic theories of trade credit.Design/methodology/approachData were collected using an incentivized online survey of Wisconsin dairy farmers distributed through existing university and industry networks. A total of 16 farmers completed the survey. The sample is treated as a focus group case study, and participants’ responses are examined using summary statistics and correlational analyses to describe emergent patterns in the industry.FindingsAmong survey respondents who utilize agricultural credit, nearly 80% (11 of 14) borrow from at least one nontraditional lender, and nontraditional credit comprises 17% of their total borrowing, on average. Much of this borrowing occurs through the financial arm of a vendor and is used to finance equipment or machinery purchases. Despite widespread use of nontraditional credit, no surveyed farmers preferred nontraditional lenders over traditional lenders.Originality/valueThis is the first study to analyze the use of nontraditional credit specifically among Wisconsin dairy farmers. Dairy farming is a capital-intensive endeavor, and recent structural change in the sector has increased surviving dairy farmers' demand for credit.","PeriodicalId":46748,"journal":{"name":"Agricultural Finance Review","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48084906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Illusion of control in farmers’ investment and financing decisions","authors":"Katarina Labajova, J. Höhler, C. Lagerkvist, Jörg Müller, Jens Rommel","doi":"10.1108/afr-09-2020-0140","DOIUrl":"https://doi.org/10.1108/afr-09-2020-0140","url":null,"abstract":"PurposePeople’s tendency to overestimate their ability to control random events, known as illusion of control, can affect financial decisions under uncertainty. This study developed an artifactual field experiment on illusion of control for a farm machinery investment.Design/methodology/approachIn an experiment with two treatments, the individual farmer was either given or not given a sense of control over a random outcome. After each decision, the authors elicited perceived control, and a questionnaire collected additional indirect measures of illusion of control from 78 German farmers and 10 farm advisors.FindingsThe results did not support preregistered hypotheses of the presence of illusion of control. This null result was robust over multiple outcomes and model specifications. The findings demonstrate that cognitive biases may be small and difficult to replicate.Research limitations/implicationsThe sample is not representative for the German farming population. The authors discuss why the estimated treatment effect may represent a lower bound of the true effect.Originality/valueIllusion of control is well-studied in laboratory settings, but little is known about the extent to which farmers’ behavior is influenced by illusion of control.","PeriodicalId":46748,"journal":{"name":"Agricultural Finance Review","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44165458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effects of overconfident yield forecasting on cross-coverage level crop insurance demand","authors":"Clayton P. Michaud","doi":"10.1108/afr-05-2021-0065","DOIUrl":"https://doi.org/10.1108/afr-05-2021-0065","url":null,"abstract":"PurposeThis paper examines the effect of overconfident yield forecasting (optimism bias) on crop insurance coverage level choices across both yield and revenue insurance.Design/methodology/approachThis study simulates a representative producer’s preferred coverage level for both yield and revenue insurance under three potential models of decision-making and four potential manifestations of overconfident yield forecasting. The study then uses this framework to examine how coverage level choices change as overconfidence increases (decreases).FindingsAs overconfidence increases, producers prefer lower levels of crop insurance coverage than they would otherwise prefer, with extreme overconfidence inducing farmers to buy no insurance at all. While overconfidence affects cross-coverage demand for revenue and yield insurance similarly, this effect is more pronounced for yield insurance. Cross-coverage level demand for revenue insurance is relatively stable across changes in the correlation between prices and yields.Practical implicationsThis research has important implications for crop insurance subsidy design and crop insurance demand modeling.Originality/valueThere is a growing body of literature suggesting that producers are overconfident with regard to their future yield risk and that this bias reduces their willingness to pay for risk management tools such as crop insurance. This is the first study to look at how such overconfidence affects cross-coverage level demand for crop insurance.","PeriodicalId":46748,"journal":{"name":"Agricultural Finance Review","volume":"1 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41349292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Financial literacy and its determinants: the case of rural farm households in Ghana","authors":"Martinson Ankrah Twumasi, Yuansheng Jiang, Salina Adhikari, Caven Adu Gyamfi, Isaac Asare","doi":"10.1108/afr-06-2021-0078","DOIUrl":"https://doi.org/10.1108/afr-06-2021-0078","url":null,"abstract":"PurposeThis paper aims to examine the determinants of rural dwellers financial literacy in Ghana.Design/methodology/approachA cross-sectional primary data set was used to estimate the factors influencing rural farm households' financial literacy using the IV-Tobit model.FindingsThe findings reveal that most rural residents are financially illiterate. The econometrics model results depicted that respondents' socioeconomic and demographic characteristics such as gender, income, age and education significantly affect financial literacy. Again, respondents who are risk seekers and listen or watch education programs are more likely to be financially literate.Research limitations/implicationsThe paper examined the determinants of rural dwellers financial literacy in four regions in Ghana. Future research should consider all or many regions for an informed generalization of findings.Practical implicationsThis paper provides evidence that rural dwellers are financially illiterate and it would require the policymakers or non-governmental organizations (NGOs) to establish a village or community group that comprises a wide range of bankers and government officials to help rural dwellers acquire some financial skills. Also, the positive relationship between media (whether respondent watches or listens to educational programs) and financial literacy implies that policymakers should focus on improving individuals' financial knowledge through training programs and utilize the media as a channel to propagate financial education to the public.Originality/valueAlthough previous studies have examined the determinants of financial literacy, little is known in developing countries and, in particular, rural communities. The authors fill this gap by contributing to the scanty existing literature in developing countries in several ways. First, this is the first study to examine the financial literacy level of rural dwellers in Ghana. Second, to not undermine the credibility of the estimation results, this study addresses the potential endogeneity issue, which other researchers have not adequately recognized. Finally, the study expands the scant literature on the subject and provides critical policy implications that will help policymakers formulate financial market policies that will contribute to rural dwellers financial literacy enhancement.","PeriodicalId":46748,"journal":{"name":"Agricultural Finance Review","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47037207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do high-resolution satellite indices at field level reduce basis risk of satellite-based weather index insurance?","authors":"W. Kölle, M. Buchholz, O. Musshoff","doi":"10.1108/afr-12-2020-0177","DOIUrl":"https://doi.org/10.1108/afr-12-2020-0177","url":null,"abstract":"PurposeSatellite-based weather index insurance has recently been considered in order to reduce the high basis risk of station-based weather index insurance. However, the use of satellite data with a relatively low spatial resolution has not yet made it possible to determine the satellite indices free of disturbing landscape elements such as mountains, forests and lakes.Design/methodology/approachIn this context, the Normalized Difference Vegetation Index (NDVI) was used based on both Moderate Resolution Imaging Spectroradiometer (MODIS) (250 × 250 m) and high-resolution Landsat 5/8 (30 × 30 m) images to investigate the effect of a higher spatial resolution of satellite-based weather index contracts for hedging winter wheat yields. For three farms in north-east Germany, insurance contracts both at field and farm level were designed.FindingsThe results indicate that with an increasing spatial resolution of satellite data, the basis risk of satellite-based weather index insurance contracts can be reduced. However, the results also show that the design of NDVI-based insurance contracts at farm level also reduces the basis risk compared to field level. The study shows that higher-resolution satellite data are advantageous, whereas satellite indices at field level do not reduce the basis risk.Originality/valueTo the best of the author’s knowledge, the effect of increasing spatial resolution of satellite images for satellite-based weather index insurance is investigated for the first time at the field level compared to the farm level.","PeriodicalId":46748,"journal":{"name":"Agricultural Finance Review","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43814358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Increasing rice productivity in Ghana: Do savings with rural and community banks matter?","authors":"Enoch Yao Vukey, I. Egyir, E. Asiedu, N. Kwapong","doi":"10.1108/afr-12-2020-0179","DOIUrl":"https://doi.org/10.1108/afr-12-2020-0179","url":null,"abstract":"PurposeThis paper analysed the motives behind farmers' savings with Rural and Community Banks (RCBs) and the effect of these savings on rice yield in the Hohoe Municipality of the Volta region of Ghana.Design/methodology/approachA multi-stage sampling approach was used to draw a random sample of 222 rice farmers, and a structured questionnaire was employed to collect cross-sectional data. A Likert scale was used to rank the motive behind farmers' savings while the endogenous switching regression model was used to estimate the effect of savings on rice yield.FindingsThe results of the study showed that most farmers mobilise savings to enhance farm investment which is critical to increasing rice productivity. Improved labour and fertiliser use had a positive influence on rice yield, while farm size had an inverse relation with rice yield. Further, the findings show that savings with RCBs help mobilise the necessary finance to enhance rice productivity. In terms of the treatment effect of savings, the results indicate that farmers who patronise saving products of RCBs recorded a statistically significant average yield of 1.41 Mt/ha more than those not patronising saving products from any bank.Practical implicationsWhile the literature on agricultural finance focuses largely on credit, this study demonstrates that savings hold significant benefits for the development of agriculture through productivity gains. The importance of this demonstration is further shown by the fact that credit access depends on the ability to save in most developing countries.Social implicationsThere is a need to educate farmers about the essence of patronising formal savings products.Originality/valueThis study represents the first attempt at linking farmers' savings to agricultural productivity using an econometric methodology in Ghana. The study serves as a foundation paper and for that matter will serve as a guide to future research on savings mobilisation and agricultural productivity nexus.","PeriodicalId":46748,"journal":{"name":"Agricultural Finance Review","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48349013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}