P. Nkegbe, A. Araar, B. Abu, Yazidu Ustarz, H. Alhassan, E. Setsoafia, S. Abdul-Wahab
{"title":"Rural non-farm engagement and agriculture commercialization in Ghana","authors":"P. Nkegbe, A. Araar, B. Abu, Yazidu Ustarz, H. Alhassan, E. Setsoafia, S. Abdul-Wahab","doi":"10.1108/jadee-12-2021-0332","DOIUrl":"https://doi.org/10.1108/jadee-12-2021-0332","url":null,"abstract":"PurposeGhana's economy is largely agrarian, and the business of agriculture is dominated by smallholder farmers who are predominantly rural dwellers. As a result, efforts to lift rural farming households from poverty have been narrowed to the promotion of agricultural development to the neglect of the rural non-farm sector. However, this is fast changing in the advent of a burgeoning rural nonfarm economy and must engage the attention of policy actors. This study thus assesses the effect of non-farm participation on households' level of commercialization of agricultural crops in Ghana.Design/methodology/approachThe study applies a generalized structural equation model (GSEM) to the Ghana Living Standards Survey round 6 dataset, a stratified and nationally representative random sample of 16,772 households in 1,200 enumeration areas.FindingsThis study finds that non-farm participation increases the produce sold to output ratio. It is concluded that non-farm engagement by farmers boosts commercialization in Ghana. Thus, for the Ghanaian and similar contexts, agricultural development interventions that incorporate non-farm activities are more likely to be successful in improving livelihoods.Research limitations/implicationsThe study uses only the ratio of sales value to output value definition for commercialization and acknowledges use of multiple definitions could be superior.Originality/valueVarious empirical studies have examined the link between the farm and nonfarm sectors. This paper is original in its approach as it tackles an aspect of the subject that has been understudied, namely, an exploration of nonfarm and farm linkages from the perspective of agricultural commercialization.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41867056","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}
R. Kuijpers, Esther Smits, C.P.C.M. Steijn, Nasser Mulumba, M. Asindu, F. Kruijssen, E. Kikulwe
{"title":"Prices, profit margins and intermediary market power: evidence from the matooke value chain in Uganda","authors":"R. Kuijpers, Esther Smits, C.P.C.M. Steijn, Nasser Mulumba, M. Asindu, F. Kruijssen, E. Kikulwe","doi":"10.1108/jadee-06-2022-0105","DOIUrl":"https://doi.org/10.1108/jadee-06-2022-0105","url":null,"abstract":"PurposeThere is widespread belief that intermediaries in African agri-food value chains have disproportionate market power. In this paper, the authors examine this belief by uncovering the purchasing and selling prices, costs and profit margins by farmers, intermediaries and retailers in the matooke (cooking banana) value chain in Uganda, and by analysing the prevailing value chain and market structures, seasonal entry and exit dynamics and the trading relationships in the chain.Design/methodology/approachData for this study were collected along the trading routes from the main matooke producing districts in South-West Uganda (Kabarole, Bunyangabo, Bushenyi, Isingiro and Mbarara) to the main urban markets around the capital Kampala. A structured survey was administered with 383 producers, 172 collectors and wholesalers and 71 retailers. In addition, key informant interviews and focus group discussions were held.FindingsThe authors find that price mark-ups by intermediaries (selling prices minus purchasing prices) vary with the type of intermediary, season and location but generally reflect the costs of moving matooke down the value chain to the urban consumer. The authors do not find evidence for disproportionate market power among the intermediaries in the chain. Intermediaries enter and exit the market in peak and off-peak season, such that profits are kept in check. This seasonality does imply a small shift in market power in favour of farmers in off-peak season and in favour of intermediaries in the peak season.Research limitations/implicationsThe investigation concentrated on an important and relatively homogenous staple crop along its main trade route. More remote areas, where there is less of an abundance of matooke, might still be characterised by local monopsonies where intermediaries have more market power due to high search and transport costs. Similarly, (local) monopsonies might exist for products for which there is a smaller market (segment), for products with a stronger seasonal variation in supply and for more perishable products.Originality/valueWhile there is an important literature on the role of intermediaries in African agri-food value chains, the evidence on intermediary market power is scant. Beliefs on intermediary market power are largely based on anecdotal evidence from farmers or inferred from observed prices or market structures. The paper contributes in addressing this important knowledge gap by studying the matooke value chain in Uganda.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44198155","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}
Hanh Minh Thai, Giang Nguyen Thuc Huong, Tran Thi Hong Nguyen, Hien Pham, Huyen Nguyen, T. Vu
{"title":"Impacts of climate change risks on financial performance of listed firms in agriculture industries in Vietnam","authors":"Hanh Minh Thai, Giang Nguyen Thuc Huong, Tran Thi Hong Nguyen, Hien Pham, Huyen Nguyen, T. Vu","doi":"10.1108/jadee-07-2022-0137","DOIUrl":"https://doi.org/10.1108/jadee-07-2022-0137","url":null,"abstract":"PurposeClimate change increases systematic risk for firms, especially those in the agricultural industry. Therefore, the need to examine the consequences of climate-related risks on agribusiness companies' financial performance across the globe and emerging markets has risen. In this context, the paper aims to investigate the effects of climate change risks on the financial performance of agriculture listed firms in Vietnam.Design/methodology/approachThe study sample includes 77 Vietnamese listed firms in the agricultural industry in the period of 2015–2019. The authors chose temperature, wind, rainfall and humidity proxies to measure climate change. The OLS regression, random regression and sub-sample analysis have been used to examine the impacts of climate risks on firms' financial performance.FindingsEmpirical results show that rain and temperature have positive impacts on financial performance of Vietnamese agriculture listed firms, while wind and humidity have insignificant impacts on financial performance.Research limitations/implicationsThe research helps researchers, businesses, practitioners and policymakers interested in the agricultural industry, especially those in developing and emerging countries, to develop a deep understanding of the impact of climate change risks on firm performance and therefrom prepare necessary measures to reduce the negative impacts.Originality/valueThis study adds to the literature stream on the impacts of climate change on financial performance. It is the first study to investigate this impact in Vietnam, a country which depends mainly on agriculture.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49242742","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}
Karoll Gómez, Santiago Arango Aramburo, Daniel Restrepo Soto
{"title":"Cooperation and innovation under production risk: evidence from a lab-in-the-field experiment","authors":"Karoll Gómez, Santiago Arango Aramburo, Daniel Restrepo Soto","doi":"10.1108/jadee-07-2022-0147","DOIUrl":"https://doi.org/10.1108/jadee-07-2022-0147","url":null,"abstract":"PurposeThis study analyzes the role of cooperative behavior in facing the risk of encouraging innovative agricultural production projects by small-scale farmers in the context of farmers in developing countries.Design/methodology/approachA within-subjects field experiment was conducted with small-scale Colombian panela cane farmers. The authors used the collected data to run the regression analyses.FindingsThe results suggest that when small farmers can follow cooperative behavior by joining a group and pooling resources to face risk, they are more willing to invest in a novel and profitable alternative, albeit riskier. However, the possibility of cooperating with a group to invest in a novel production project depends on its expected risk level.Research limitations/implicationsThese results will help develop agricultural policies for sustainable development. Establishing informal networks for small-scale farmers to deal with unpredictable risks may aid in developing innovative systems.Social implicationsAgriculture is highly vulnerable to climatic impacts, which, combined with the inherent risk of innovation, may reduce small farmers' willingness to adopt innovation. Cooperation appears to be a mechanism for pooling resources and facing risk.Originality/valueResearch has focused on experimentally testing the effect of cooperative behavior when facing risk. The authors contribute to the literature by demonstrating the impact of the ability of small-scale farmers in rural areas to collectively manage risk on investment in innovative projects.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49234039","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":"Prognosis of entrepreneurial traits among agricultural undergraduate students in India using machine learning","authors":"S. Jarial, Jayant Verma","doi":"10.1108/jadee-06-2022-0124","DOIUrl":"https://doi.org/10.1108/jadee-06-2022-0124","url":null,"abstract":"PurposeThis study aimed to understand the agri-entrepreneurial traits of undergraduate university students using machine learning (ML) algorithms.Design/methodology/approachThis study used a conceptual framework of individual-level determinants of entrepreneurship and ML. The Google Survey instrument was prepared on a 5-point scale and administered to 656 students in different sections of the same class during regular virtual classrooms in 2021. The datasets were analyzed and compared using ML.FindingsEntrepreneurial traits existed among students before attending undergraduate entrepreneurship courses. Establishing strong partnerships (0.359), learning (0.347) and people-organizing ability (0.341) were promising correlated entrepreneurial traits. Female students exhibited fewer entrepreneurial traits than male students. The random forest model exhibited 60% accuracy in trait prediction against gradient boosting (58.4%), linear regression (56.8%), ridge (56.7%) and lasso regression (56.0%). Thus, the ML model appeared to be unsuitable to predict entrepreneurial traits. Quality data are important for accurate trait predictions.Research limitations/implicationsFurther studies can validate K-nearest neighbors (KNN) and support vector machine (SVM) models against random forest to support the statement that the ML model cannot be used for entrepreneurial trait prediction.Originality/valueThis research is unique because ML models, such as random forest, gradient boosting and lasso regression, are used for entrepreneurial trait prediction by agricultural domain students.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43971597","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 use of innovation uptake in identification of business models in the Indonesian smallholder cattle value chain","authors":"Zenal Asikin, D. Baker, R. Villano, A. Daryanto","doi":"10.1108/jadee-06-2022-0117","DOIUrl":"https://doi.org/10.1108/jadee-06-2022-0117","url":null,"abstract":"PurposeThe purpose of this paper is to guide commercial and policy action to improve smallholder Indonesian cattle systems.Design/methodology/approachA survey (n = 304) of smallholder cattle farms in six villages in two districts of Nusa Tenggara Barat, Indonesia. Principal component analysis (PCA) and cluster analysis (CA) were employed to classify cattle farms into business models according to observed innovation. Differences between business models were identified using a one-way-analysis-of-variance (ANOVA).FindingsFour business models were identified, representing profiles of innovation adoption and elements of business models, socio-economic characteristics, farming system and performance variables including revenue, cost and profit. The business models display a range of orientation to buyer requirements and a range of approaches to production, indicating a need to promote in a variety of ways the change from supply-push to demand-pull in the cattle value chain.Research limitations/implicationsThis study offers guidance on how business models might be strengthened over time, by using simple indicators of performance and the models' linkage to innovation in the context of each business model. The business models developed here, and refinements to them based on localised conditions, offer a targeted and accelerated pathway to improved performance in smallholder systems.Originality/valueThis study proposed a novel approach to the recognition of business models based on innovation.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45884917","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}
G. Thapa, D. Choudhary, N. Khanal, Shriniwas Gautam
{"title":"Can traders' meetings boost seed sales of new rice varieties and promote a market-driven seed system? Evidence from Nepal","authors":"G. Thapa, D. Choudhary, N. Khanal, Shriniwas Gautam","doi":"10.1108/jadee-09-2022-0193","DOIUrl":"https://doi.org/10.1108/jadee-09-2022-0193","url":null,"abstract":"PurposeFarmers in developing countries are used to recycling and purchasing seeds of old and low-yielding varieties, leading to low seed and varietal replacement rates. Seed companies in Nepal have started to conduct traders' meetings (TMs) to promote new rice varieties. This paper aims to assess the effectiveness of this approach in promoting new rice varieties.Design/methodology/approachThe authors assess the effectiveness of TMs by surveying 238 agrodealers from 7 districts of Nepal. The authors used the binary logit model to study the determinants of participation in TM and an instrumental variable approach to estimate the impact of TMs on sales of the promoted rice varieties.FindingsResults indicate that the TM significantly influences traders' knowledge and increases the probability of selling new rice varieties promoted. However, TMs did not significantly increase the overall sales of promoted rice varieties.Research limitations/implicationsThe study is based on cross-section data; thus, unobserved fixed effects could not be accounted for. The study finds only one relevant and valid instrumental variable and therefore could not conduct any exogeneity test.Originality/valueSeed companies in Nepal started to conduct TMs to promote new rice varieties since 2019. However, to the best of the authors’ knowledge, the usefulness of TMs and the impact of these events in changing traders' attitudes toward domestic rice seed varieties or in business performance (annual sales of the promoted varieties) have not been assessed. Therefore, the study findings will help to promote the market-driven seed system and increase the seed replacement rate.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47669815","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":"Entrepreneurial intentions of progressive farmers: the influence of innovativeness, risk-taking and proactiveness","authors":"Aashiq Hussain Lone, I. Baba","doi":"10.1108/jadee-08-2022-0185","DOIUrl":"https://doi.org/10.1108/jadee-08-2022-0185","url":null,"abstract":"PurposeProgress in agriculture significantly relies on the adoption of innovative farm practices by farmers. Being proactive and risk-taking catalyses this innovativeness. Progressive farmers in general are proving to be effective in developing their farms along entrepreneurial lines. The paper aims to examine the relationship between the entrepreneurial traits of risk-taking, proactiveness, innovativeness and entrepreneurial intention (EI) of progressive farmers in Kashmir.Design/methodology/approachA quantitative research approach was used to evaluate how innovativeness, risk-taking and proactiveness affect EI. The data was collected from registered progressive farmers using a structured questionnaire via both online and offline means. 203 useable responses were received. The data was then analysed using partial least squares structural equation modelling (PLS-SEM).FindingsThe results reveal that progressive farmers' EI is influenced by innovativeness, risk-taking and proactiveness. As hypothesized, a significant and positive relationship was found between entrepreneurial orientation (EO) traits of risk-taking, proactiveness and innovativeness and EI.Research limitations/implicationsThe study adds to the existing body of knowledge on agri-entrepreneurship by conceptualizing EO traits influencing EI of progressive farmers and offering insightful advice to policymakers on how to improve progressive farmers' entrepreneurial abilities and in turn convert their EI into agro venture establishment in Kashmir.Originality/valueThis study makes advancements in the field of farming-related EO by examining the EI of progressive farmers. This study covers a knowledge gap as there aren't many empirical studies on agricultural entrepreneurship that concentrate on the EO of progressive farmers and how it influences the EI in general in India and the Kashmir valley in particular.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43044109","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}
Vishal Soodan, M. Jamwal, Nirpendra P. Rana, Deeksha Sharma, Supernova Chakraborty
{"title":"Modelling the adoption of agro-advisory mobile applications: a theoretical extension and analysis using result demonstrability, trust, self-efficacy and mobile usage proficiency","authors":"Vishal Soodan, M. Jamwal, Nirpendra P. Rana, Deeksha Sharma, Supernova Chakraborty","doi":"10.1108/jadee-05-2022-0087","DOIUrl":"https://doi.org/10.1108/jadee-05-2022-0087","url":null,"abstract":"PurposeThis paper aims to explore the determinants of intention towards the use of agro-advisory mobile applications by extending the technology acceptance model (TAM) with addition of the following constructs: result demonstrability (RD), trust, self-efficacy (SE) and mobile usage proficiency (MUP).Design/methodology/approachThe study employed a survey on farmers (n = 446), which was analysed through structural equation modelling using Analysis of Moment Structures (AMOS).FindingsThe results show that RD and farmer's trust on agro-advisory mobile apps (AAMA) positively impact their perceptions of usefulness. Also, farmer's SE and MUP positively affect their perceptions of ease of using AAMA. Further, interestingly, farmer's attitude towards the AAMA fully mediates the relationship between perceived usefulness and perceived ease of use on intention to use them.Research limitations/implicationsUnderstanding the antecedents of agro-advisory mobile application offers a unique contribution to policymakers, private firms, and non-government organizations by proving key insights on the acceptance of agriculture based mobile technologies in context of developing nations.Originality/valueTo the best of author's knowledge, this is one of the first research enquiries on the adoption of agro-advisory mobile applications. The new theoretical framework adds to the original TAM and offers novel insights that are helpful in augmenting the current understanding on AAMA and their acceptance by the beneficiaries.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45429738","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}
S. Kaitibie, Arnold Missiame, P. Irungu, John N. Ng’ombe
{"title":"Food import demand with structural breaks, economic embargo and the COVID-19 pandemic in a wealthy, highly import-dependent country","authors":"S. Kaitibie, Arnold Missiame, P. Irungu, John N. Ng’ombe","doi":"10.1108/jadee-08-2022-0177","DOIUrl":"https://doi.org/10.1108/jadee-08-2022-0177","url":null,"abstract":"PurposeQatar, a wealthy country with an open economy has limited arable land. To meet its domestic food demand, the country heavily relies on food imports. Additionally, the over three year-long economic embargo enforced by regional neighbors and the covariate shock of the COVID-19 pandemic have demonstrated the country's vulnerability to food insecurity and potential for structural breaks in macroeconomic data. The purpose of this paper is to examine short- and long-run determinants of Qatar's imports of aggregate food, meats, dairy and cereals in the presence of structural breaks.Design/methodology/approachThe authors use 24 years of food imports, gross domestic product (GDP) and consumer price index (CPI) data obtained from Qatar's Planning and Statistics Authority. They use the autoregressive distributed lag (ARDL) cointegration framework and Chambers and Pope's exact nonlinear aggregation approach.FindingsUnit root tests in the presence of structural breaks reveal a mixture of I (1) and I (0) variables for which standard cointegration techniques do not apply. The authors found evidence of a significant long-run relationship between structural changes and food imports in Qatar. Impulse response functions indicate full adjustments within three-quarters of a year in the event of an exogenous shock to imports.Research limitations/implicationsAn exogenous shock of one standard deviation on this variable would reduce Qatar's food imports by about 2.5% during the first period but recover after the third period.Originality/valueThe failure of past aggregate food demand studies to go beyond standard unit root testing creates considerable doubt about the accuracy of their elasticity estimates. The authors avoid that to provide more credible findings.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43451149","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}