Relevant bibliographies by topics / Index of crop diversification

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Academic literature on the topic 'Index of crop diversification'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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Journal articles on the topic "Index of crop diversification"

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Rajat, Jyoti Sarkar, and Karmakar Moumita. "Measuring crop diversification in case of sugarcane in West Bengal." Trivium A multi disciplinary journal of humanities of Chandernagore College 5, no. 9 (2021): 17–28. https://doi.org/10.5281/zenodo.13830051.

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In India, diversification towards horticulture was mainly recognised in the1990s. Crop diversification is a risk management strategy for the farmingcommunity and an important step for poverty alleviation and transitionfrom subsistence agriculture to commercial agriculture. Cropdiversification is a solution to stabilise and raise farm income, increaseemployment opportunities, boost exports and conserve and enhancenatural resource base. Diversification may be broadly defined as a shift ofresources from low value added agriculture to high value added agriculture.In order to measure crop diversification for a particular crop, differenttypes of Crop Diversification Indices (CDI) are used. The CDI is an indexof concentration and has a direct relationship with diversification such thata zero value indicates specialization and a value greater than zero signifiescrop diversification. The extent of crop diversification at a given point oftime may be examined by several indices. Among these indices,Herfindahl Index (HI), Simpson Index (SI) and Entropy Index (EI) arewidely used in case of crop diversification. In this paper we want to seewhether crop diversification or crop concentration takes place in case ofsugarcane in different districts of West Bengal by using secondary data.That&rsquo;s why we consider Herfindahl Index (HI) and Simpson Index (SI) tomeasure crop diversification or crop concentration in different parts ofWest Bengal by using secondary data. <em>Keywords: Crop diversification, crop concentration, Herfindahl Index</em><em>(HI) and Simpson Index (SI).</em>
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Dr., Hanumant A. Gandhale. "TO STUDY THE GEOGRAPHYCAL ANALYSIS OF TAHSILWISE CROP DIVERSIFICATION IN PARBHANI DISTRICT (MS)." International Journal of Advance and Applied Research 9, no. 6 (2022): 332–36. https://doi.org/10.5281/zenodo.7070475.

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<strong><em>Abstract:</em></strong> <em>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The volume of change has studied for twelve years in present paper. Crop diversification grows on large number of crops which are practiced in rain fed land to reduce the risk factor of crop failures either of drought or less rain. Raising a variety of crops on arable land is known as crop diversification. It is the reflection of physical, socio economic and techno organization inputs. Crop diversification is generally viewed as a shift from traditionally grown less remunerative crops to more remunerative crops. The crop diversification takes place due to governmental policies and crop selection and attitude of farmers. Market, infrastructural development and certain other price related supports also induce crop diversification. The higher profitability and production the stability induce crop diversification, in case of example, sugarcane replacing rice and wheat. Crop diversification indicates multiplication of agricultural crops which involves intense competition for region, scope for crop rotation and effect of double cropping. The greater the competition, higher the magnitude of diversification, while lesser the magnitude of diversification greater the trend towards the specialization where emphasis on one or two crops. In most of the extensive agricultural parts in world agricultural diversification, it is a common feature due to irrigation, use of fertilizers and pesticides, high yielding varieties, mechanization and technology. Besides climate, farmer&rsquo;s attitude and local surroundings are forced farmers for crop diversification. In this paper an attempt has been made to analyse the crop diversification at district level in Parbhani District of Maharashtra. Crop diversification gives a wider choice for production of variety of crops in any region in order increase production related activities. It is just opposite of crop specialization. The crop diversification was studied for twelve years (2001 to 2012) in order to find out crop diversification. The diversification index ranged Parbhani (20.55) in 2001-2006 while in year 2007-2012 it ranged Parbhani district (21.95) of course diversification of agriculture varies from one region to another for which responsible factors are more or less variation in resources endowment, infrastructure level and market accessibility crop diversification of food crops and oilseed crops. </em>
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Utkal, Kushawah. "Regional Pattern, Shift and Extent of Crop Diversification with Special Reference to Malwa Region of Madhya Pradesh." RECENT RESEARCHES IN SOCIAL SCIENCES & HUMANITIES (ISSN 2348–3318) 9, no. 4 (Oct.-Nov.-Dec. 2022) (2022): 1–10. https://doi.org/10.5281/zenodo.7538843.

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Crop diversification is the use of multiple cropping systems, i.e., the addition of more crops to the existing cropping system along with the use of different crop species. In this study, the Gibbs-Martin index, log scale technique, and linear regressions are used to explain the regional pattern of crop diversification and the shift in the degree and extent of crop diversification. The Crop diversification was discovered in the Malwa region, with a positive shift in crop diversification over the last 15 years, according to the study. The study also found increases and decreases in the pattern of crop acreages for different crops.
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CHAHAL, DISHA. "Changes in the patterns of crop diversification in Haryana." Annals of Plant and Soil Research 26, no. 3 (2024): 425–33. https://doi.org/10.47815/apsr.2024.10380.

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Crop diversification refers to the practice of cultivating a variety of crops on the same land over time or across a landscape. It's a move away from monoculture, where a single crop dominates a field or agricultural region. Recognizing the shifts in crop diversification trends through time and across different regions equips stakeholders with the knowledge to foster an agricultural system that is sustainable, robust, and fair. In the present study, the patterns of crop diversification analysed for the years 2011, 2015, and 2021. The variations in crop diversification patterns scrutinized for two distinct periods: from 2011 to 2015, and subsequently from 2015 to 2021. Gibb’s-Martin Index is used to calculate the crop diversification index at the district level. The percentage of moderate districts in all the three years of analysis, that is, 2011, 2015 and 2021 is highest in Gibbs Martin Index, which is followed by low districts and high districts respectively. The high positive change in the Gibbs Martin Index is observed followed by negative change and no change respectively between the years 2011 and 2015, and 2015 and 2021. The findings indicate a substantial potential for expanding crop diversification initiatives in Haryana.
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More, Dr. Amol V. "Spatio-Temporal changes in Crop Diversification of Sangli District (Maharashtra)." International Journal of Advance and Applied Research 5, no. 23 (2024): 443–46. https://doi.org/10.5281/zenodo.13638817.

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<strong>Abstract: </strong> Crop diversification means growing different varieties of crops for arable land. Crop diversification is the production of different crops in a specific area at a specific time. The present research paper focus on the crop diversification in Sangli District. The research paper based on the secondary data have been collected from the Socio-economic review of Sangli district (2003-04 and 2022-23). Crop diversification calculation is based on Gibbs and Martin Index of Diversification
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Dr., Kiran Dilip Khalangre. "Crop Concentration and Diversification in Latur District of Maharashtra: A Case Study." Indian Journal of Food Engineering (IJFE) 3, no. 3 (2024): 1–5. https://doi.org/10.54105/ijfe.C1011.03030624.

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<strong>Abstract: </strong>The present study is an attemptto explain the crop concentration and diversification in agriculture of the Latur district of Maharashtra. Here, a detailed study has been done to know the dominant crop as well as the ranking of the crops in the cropping pattern of the study area. The study is based on secondary data sets that have been collected from the district statistical handbook 2020-21. Using Bhatia&rsquo;s method, the crop concentration indices for all blocks of the district have been calculated for crops like Soybean, Sugarcane, Tur, Gram, Jowar, Mung and Udid. Crop concentration and Crop diversification indices have been calculated by using index for all the tehsil of the district. This study attempted to delineate the tehsils of high and low crop diversification and crop concentration.
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C. Prabakar, K. Sita Devi, Y. Shelton Peter, G. Baradhan, R. Selva Kumar, and Chowdula Shireesha. "Crop Diversification - Its Status and Scope in Cauvery Delta Zone of Tamil Nadu." Ecology, Environment and Conservation 31, Suppl (2025): S54—S60. https://doi.org/10.53550/eec.2025.v31i02s.010.

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This paper explores the potential for crop diversification in the Cauvery delta region of Tamil Nadu, an area where monocropping of paddy dominates, leading to vulnerability in the face of climatic challenges such as drought and floods. The study aims to analyse the current level of crop diversification, the factors influencing farmers’ awareness on diversification, and the reasons for its limited adoption. A stratified random sampling technique was employed to gather data from 600 farmers across different districts. Various analytical tools, including the Herfindahl Index, Simpson Index, Markov Chain Analysis, Logit Model, and Garrett Analysis were used to assess the degree of diversification, shifts in cropping patterns, factors determining awareness on crop diversification, and reasons for non-adoption of crop diversification. The results show that crop diversification is at very minimal level, with paddy retaining a stronghold in the cropping system, despite risks associated with water scarcity and labour shortages. Age, Education, participation in agricultural extension meetings, and experiences with labour and water scarcity significantly influence farmers awareness on diversification. However, the main barriers to adoption include lack of awareness on alternative crops and fear of production failure. The findings highlight the importance of tailored interventions by agricultural extension agencies to encourage diversification in this climatevulnerable region.
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Saydullaeva, Fotima. "Innovative Solutions to Increase Dietary Diversity of Rural Households." American Journal of Agricultural Science, Engineering, and Technology 7, no. 2 (2023): 16–20. http://dx.doi.org/10.54536/ajaset.v7i2.1552.

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Today, it is becoming important to achieve food security in all countries. This article aims to find sustainable and innovative ways to improve household dietary diversity score (HDDS). Analyzes were carried out based on 320 small farms in the Samarkand region using cross-sectional data in 2021. T-test method were applied to find differences in dietary diversity and product diversification of households that prepared food with digital and other innovative patterns and those that did not use them. Culinary special television programs, radio broadcasts are assisted the households’ dietary diversity index increased by 2.7 points compared to those who did not follow the program, and the production diversification index showed an increase of 0.18 points in crop diversification and 0.20 points in livestock diversification with high statistical significance. When comparing production and consumption diversification between those who used and those who did not use digital technologies, the diversification index of the crop was 0.12 and livestock diversification was 0.24 points higher. In addition, we observed that HDDS was 2.2 times higher. In particular, those who constantly used Internet resources to learn culinary practices had a crop and livestock diversification 0.03 and 0.16 points higher, HDDS two times greater than those who did not use Internet resources. Therefore, only a small number of 11 respondents mentioned that they participated in culinary courses. Our study also found that the level of farm production diversification was higher with respondents who attended cooking courses than those who did not. It was scientifically proven that HDDS was twice as high as those who did not use online menu programs, and crop and livestock diversification index was 0.15 and 0.19 points higher, respectively. Findings indicated that, proposed innovative objective solutions displayed positive results in increasing the dietary diversity of rural households.
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Syampaku, Edward M., Patience Nalungwe, Idani Lichilo, and Donald Chisowa. "Farm-based factors shaping crop enterprise diversification among maize small-holder farmers in Kalulushi District of Zambia." Journal of Agriculture and Agronomy (JAA) 1, no. 1 (2023): 1–9. http://dx.doi.org/10.51317/jaa.v1i1.355.

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This study examined the factors shaping crop enterprise diversification among small-holder maize farmers in the Kalulushi District of Zambia. Having high crop enterprise diversification promotion among small-holder maize recently as a household food security and farm enterprise risk absorption strategy across Zambia, questions have arisen on factors encouraging or negating farmer responses since maize production has remained dominant, particularly under rain-fed systems. The study used primary data from a sample of 150 farmers. Data included the crop enterprise diversification index as the dependent variable, whereas the farming practice, farm size, the maize subsistence index, cooperative dependence, distance to the central market, weighted maize selling price, dependence on government purchases, planting period and source of financing for farming are the independent variables. Empirical results revealed that crop enterprise diversification increased with an increase in distance from the market, conservation farming practice, subsistence level, weighted maize selling price, and alternative financing. However, it decreased with an increase in farm size and dependence on government purchases. Cooperative dependence and planting period were not found to affect crop enterprise diversification. The study recommends streamlining crop enterprise diversification with distance from the market, farming practice, level of subsistence, weighted maize selling price, alternative financing, farm size and dependence on government purchases.
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Dube, Lighton. "Factors Influencing Smallholder Crop Diversification: A Case Study of Manicaland and Masvingo Provinces in Zimbabwe." International Journal of Regional Development 3, no. 2 (2016): 1. http://dx.doi.org/10.5296/ijrd.v3i2.9194.

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&lt;p&gt;This study analyzes the degree of crop diversification and factors associated with crop diversification among 479 smallholder farmers in Manicaland and Masvingo provinces of Zimbabwe. The Herfindahl index used to estimate diversification, while the Tobit model evaluated factors associated with crop diversification. The mean crop diversity index is 0.54. On average households in Nyanga and Bikita are the most diversified with indices of 0.48 and 0.49 respectively. The most specialized households are in Mutasa and Chiredzi with indices of 0.62. An analysis by gender shows that male headed households are slightly more diversified than female headed households. The Tobit model indicates that gender of head of household, education, number of livestock units, access to irrigation, membership to a farmers group, access to markets, farming experience, farms on flat terrain, farmer to farm extension, routine extension, agro-ecological zone and household income are significant contributors to increasing crop diversification. In turn, crop specialization is significantly associated with off-farm employment, soil fertility, farmers who are happy with extension contacts per year, farmers trained using the farmer field school approach and farmers who receive NGO extension support.&lt;/p&gt;
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Dissertations / Theses on the topic "Index of crop diversification"

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Traub, Peter. "Market-oriented crop diversification and regional development in northeast Thailand." Saarbrücken ; Fort Lauderdale : Breitenbach, 1989. http://catalog.hathitrust.org/api/volumes/oclc/22299074.html.

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Bittinger, Alison Kay. "Crop diversification and technology adoption the role of market isolation in Ethiopia /." Thesis, Montana State University, 2010. http://etd.lib.montana.edu/etd/2010/bittinger/BittingerA0510.pdf.

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The supply of basic necessities, primarily food, in developing countries is an ongoing concern. A crucial component to improving this situation is access to information on the decision environment and behavior of smallholders in these countries. One challenge facing agricultural households is the lack of effective access for input and output markets. The markets that do exist often fail to facilitate efficient trade between buyers and sellers. Smallholders are forced to adjust their production behavior to compensate for this lack of market access. The purpose of this paper is to examine the crop diversification and technology adoption decisions made by households, in relation to their distance and, by implication, lack of access to a market center. This thesis uses a dataset that contains information on the production systems of Ethiopian smallholders in 2000/2001. The focus of the analysis is on the determinants of chemical fertilizer adoption, crop diversification levels, and crop choices. A simultaneous equation model is used to obtain estimates for the decisions to adopt chemical fertilizer and diversify crop mix in which the endogenous variables are truncated. In addition, a system of five OLS equations is used to explain the shares of land devoted to major categories of crops (primary staple crops; cereals/pulses; oils/spices; fruits/vegetables; and cash crops). The empirical results indicate that Ethiopian smallholders do react to changes in the level of market access by altering their production behavior.
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Cossel, Moritz von [Verfasser], and Iris [Akademischer Betreuer] Lewandowski. "Agricultural diversification of biogas crop cultivation / Moritz von Cossel ; Betreuer: Iris Lewandowski." Hohenheim : Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim, 2019. http://d-nb.info/1183790309/34.

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Mandal, Gopal Chandra. "The role of agricultural diversification in rural development: A case study of mountain livelihood systems in the himalayan region of West Bengal." Thesis, University of North Bengal, 2018. http://ir.nbu.ac.in/handle/123456789/2802.

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Silvertooth, J. C., S. W. Stedman, and J. Tollefson. "Interaction of Pima Cotton Defoliation and Crop Water Stress Index." College of Agriculture, University of Arizona (Tucson, AZ), 1990. http://hdl.handle.net/10150/208291.

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A single field experiment was conducted in 1989 to evaluate the relationship of crop water status on Pima cotton defoliation by use of a crop water stress index (CWSI) as estimated by infrared thermometry. The entire study area was given the last irrigation uniformly on 24 August, and 20 row plots were outlined for the arrangement of three treatments in a randomized complete block design with three replications. Treatments consisted of making defoliant chemical application at three different targeted CWSI levels (0.40, 0.60, and 0.85). All defoliant treatments consisted of Dropp plus Accelerate (0.4 lb. and 1.5 pt. of material/acre, respectively) applied with a ground rig applicator. Results indicated no distinct advantage in terms of percent defoliation as a function of lower CWSI levels at which defoliants were applied. The defoliations made at 0.40 CWSI did result in more regrowth after 14 and 21 days. It appears from this test that Pima plants will defoliate satisfactorily with proper chemical treatments up to CWSI levels of 0.80. Further desiccation of the crop results in very erratic CWSI readings, resulting in difficulties in applying this technique to defoliation management. It does appear, though, that Pima cotton defoliation can be accomplished when CWSI readings are between 0.5 and 0.8 without substantial regrowth problems, providing precipitation or irrigation events do not occur.
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Ghaddab, Sarra. "Google Search Volume Index and portfolio diversification using Machine Learning techniques." Electronic Thesis or Diss., Lyon 1, 2025. http://www.theses.fr/2025LYO10003.

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Cette thèse vise à évaluer la pertinence de l’indice de volume de recherche Google (GSVI), en tant que mesure de l’attention des investisseurs, dans la prédiction du comportement des marchés boursiers et ses implications pour la prise de décision financière, notamment dans la gestion de portefeuille. Plus précisément, elle examine comment les fluctuations du GSVI affectent les rendements financiers et leurs schémas de corrélation. Dans un premier chapitre, nous explorons l’hypothèse d'efficience des marchés (HEM), un sujet qui reste débattu dans les cercles financiers. En effet, aucune preuve concluante n'a été apportée à ce jour concernant la relation entre le GSVI et l'HEM. Pour y remédier, nous nous appuyons sur les travaux de Škrinjarić (2019) en appliquant des tests de robustesse, en introduisant diverses améliorations économétriques et en incorporant des variables explicatives supplémentaires. En utilisant un modèle de panel dynamique sur un ensemble de données couvrant dix indices européens émergents, déjà étudiés par Škrinjarić (2019), nous réexaminons le rôle du GSVI dans la prédiction des rendements boursiers. Contrairement à l’approche de Škrinjarić, qui a modélisé les séries temporelles de chaque pays indépendamment, en négligeant les interdépendances potentielles entre les marchés, notre étude adopte une approche par les données de panel. Nos résultats suggèrent que le GSVI n’influence pas significativement les rendements boursiers, ce qui signifie qu'il n'offre pas d'opportunités d’arbitrage pour les investisseurs. Ces conclusions soutiennent l'HEM dans les marchés étudiés et mettent en évidence la fragilité des études antérieures face aux tests de robustesse. Le deuxième chapitre comble une lacune dans la théorie de l'attention des investisseurs en s’intéressant aux entreprises de taille moyenne, un segment souvent négligé dans la littérature. Nous avançons que les inefficacités des marchés de capitalisation moyenne seraient plus prononcées que pour les grandes capitalisations, les rendant plus prévisibles à travers l’analyse de l'attention des investisseurs. Ainsi, ce chapitre examine si le GSVI peut prédire efficacement les rendements boursiers des entreprises de taille moyenne. En utilisant des données à haute fréquence, avec des intervalles de 8 minutes, nous contribuons au corpus limité de recherches utilisant des données intra-journalières dans des applications financières. Dans ce cadre, un modèle de régression avec des termes d’erreurs hétéroscédastiques conditionnellement autorégressifs généralisés (GARCH) est utilisé comme modèle de référence pour la prédiction des rendements boursiers, et sa performance est ensuite comparée à celle de modèles de réseaux neuronaux. Nos résultats révèlent que le GSVI influence effectivement les rendements de certaines entreprises, soulignant l’importance d’étendre les études sur l’attention des investisseurs au-delà des grandes capitalisations et de porter davantage d’attention aux entreprises de taille plus modeste. Le troisième chapitre fait progresser la littérature existante sur l'impact de l'attention des investisseurs sur les corrélations de rendements boursiers. Alors que les recherches précédentes se sont principalement concentrées sur les effets directs des volumes de recherche, notre travail est le premier à explorer les effets croisés de l'activité de recherche en ligne sur l'interconnexion des rendements boursiers. En utilisant les corrélations de l'indice de volume de recherche Google (GSVI) comme prédicteurs des co-mouvements de rendements, notre approche représente une innovation majeure dans ce domaine. Nos résultats montrent que les interrelations du GSVI influencent significativement les corrélations des rendements, tant sur les marchés développés qu'émergents. Ainsi, ces interrelations peuvent anticiper des changements importants sur les marchés, ouvrant la voie à des stratégies de gestion de portefeuille plus réactives<br>This thesis aims to assess the significance of the Google Search Volume Index (GSVI), as a measure of investor attention, in predicting stock market behavior and its implications for financial decision-making, particularly within portfolio management. Specifically, it examines how fluctuations in GSVI affect financial returns and their correlation patterns. In a first chapter, we explore the Efficient Market Hypothesis (EMH), a topic that remains a subject of debate within financial circles. Notably, no conclusive evidence has yet been presented on the relationship between the GSVI and the EMH. To address this, we build upon the work of Škrinjarić (2019) by applying robustness tests, introducing various econometric improvements, and incorporating additional explanatory variables. Using a dynamic panel model on a dataset of ten emerging European stock indices, previously studied by Škrinjarić (2019), we re-examine the role of the GSVI in predicting stock market returns. Unlike Škrinjarić’s approach, which modeled time series for each country independently and overlooked potential interdependencies between markets, our study employs a panel data framework. Our findings, derived from a more robust estimation approach, suggest that the GSVI has no significant impact on stock market returns, indicating that internet search queries do not provide viable opportunities for investors to exploit arbitrage. These results support the EMH in the studied markets and highlight the susceptibility of earlier studies to robustness concerns. The second chapter addresses a gap in investor attention theory by examining mid-cap companies, a segment often neglected in the literature. However, we posit that inefficiencies in mid-cap markets are likely more pronounced than those in large-cap markets, making them more predictable through the lens of investor attention. Therefore, this chapter investigates whether the GSVI can effectively predict stock returns in mid-cap markets. Using high-frequency data at 8-minute intervals, we contribute to the limited body of research that employs intraday data for financial applications. Within this framework, a regression model with Generalized Autoregressive Conditional Heteroskedastic (GARCH) error terms is used as a benchmark for predicting stock returns, and its performance is subsequently compared to that of neural network models. Our results reveal that the GSVI does indeed influence the returns of certain mid-sized companies, underscoring the importance of extending investor attention studies beyond large-cap firms and increasing focus on smaller companies. The third chapter advances the existing literature on how investor attention affects stock return correlations. While previous research has largely concentrated on the direct effects of search volumes, our work is the first to explore the cross-effects of online search activity on the interconnectedness of stock returns. By leveraging Google Search Volume Index (GSVI) correlations as predictors of stock return co-movements, our approach represents a key innovation in this field. Our results indicate that GSVI interrelations significantly drive return correlations across both developed and emerging markets. Thus, these interrelations can serve as early warning signals for major market shifts, offering actionable insights for more dynamic portfolio management strategies
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Garrot, Donald J. Jr, Delmar D. Fangmeier, and Stephen H. Husman. "Scheduling Irrigations on Cotton Based on the Crop Water Stress Index." College of Agriculture, University of Arizona (Tucson, AZ), 1987. http://hdl.handle.net/10150/204489.

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The Crop Water Stress Index (CWSI) was used to schedule irrigations on drip irrigated cotton research plots in Tucson and on eight acre furrow irrigated fields at the Marana and Maricopa Agricultural Centers. Scheduling irrigations when plots reached 0.30 CWSI units resulted in highest yields with 1403 lbs/acre cotton lint using 33.8 inches of water. The Marana and Maricopa fields yielded 1322 lb/acre on 28 inches and 1767 lb/acre on 58 inches of water, respectively.
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Perez, Jose 1950. "WATER AND NITROGEN EFFECTS ON THE CROP WATER STRESS INDEX OF COTTON." Thesis, The University of Arizona, 1985. http://hdl.handle.net/10150/275339.

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Alou, Abdourahamane 1959. "Vegetative physiology of cotton as related to the Crop Water Stress Index." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/276939.

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This study was undertaken to investigate Gossypium hirsutum L. reproductive physiology and metabolic activities as they relate to the Crop Water Stress Index. Five treatments were established based on the CWSI. These were the maximum stress levels allowed for each treatment. The indices investigated were .16, .35, .36, .40, and .62. Daily tagging of opened flowers in each treatment was conducted throughout the season. Diffusive resistance, transpiration, apparent photosynthesis, and yield were measured. There was no significant difference in treatment yield. Plants irrigated at stress level either below .30 or above .40, tended to yield relatively low compared to plants maintained between .30 and .40. Floral production, abscission and boll retention were negatively correlated to CWSI. Negative relationships were also found between apparent photosynthesis, transpiration, leaf area and CWSI. A two day lag response was observed between a decrease in CWSI values resulting from irrigation, and daily flowering increase.
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El-Zayadi, Fawzi. "A genetic analysis of harvest index in barley (Hordeum vulgare L. emend. Lam.) /." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=65362.

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Books on the topic "Index of crop diversification"

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De, Utpal Kumar. Economics of crop diversification. Akansha Pub. House, 2003.

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Ali, Mohammed Eusuf. Impact evaluation of Northwest Crop Diversification Project. Implementation Monitoring and Evaluation Division, Ministry of Planning, Govt. of Bangladesh], 2010.

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Muchena, S. C. Options for diversification within the smallholder farming sector for sustainable food security: Harare International Conference Centre, 10 November, 1995. s.n., 1995.

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Mlowe, Ladislaus H. K. Crop diversification: An emerging opportunity among rural producer organizations in Tanzania. Moshi University College of Co-operative and Business Studies, 2006.

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P, Gupta V. A study on crop diversification in Bihar agriculture: An agro-climatic zonal analysis. Agro-climatic Regional Planning Unit, Dept. of Agricultural Economics, Rajendra Agricultural University, 1999.

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Alberto, Alvarez Luis, and Paraguay. Ministerio de Agricultura y Ganadería., eds. Rubros complementarios para la diversificación de cultivos, por zonas ecológicas, en la región oriental del Paraguay. Ministerio de Agricultura y Ganadería, 1993.

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Centre for Environmental Policy and Advocacy (Malawi). Crop diversity and their uses in Malawi: The case of Rumphi, Mzimba, Dowa and Lilongwe Districts. Centre for Environmental Policy and Advocacy, 2016.

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Mangisoni, Julius H. Crop and livestock diversification for smallholder farmers in Malawi: Constraints and opportunities. Winrock International, 1999.

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Singh, Ravender. Crop diversification possibilities under different agro-ecosystems of India. Water Technology Centre for Eastern Region, Indian Council of Agricultural Research, 2005.

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Gollop, Frank M. From homogeneity to heterogeneity: An index of diversification. U.S. Dept. of Commerce, Bureau of the Census, 1989.

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Book chapters on the topic "Index of crop diversification"

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Chiawo, David O., and Verrah A. Otiende. "Climate-Induced Food Crisis in Africa: Integrating Policy and Adaptation." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_75.

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AbstractClimate change threatens development and economic growth in Africa. It increases risks for individuals and governments with unprecedented negative impacts on agriculture. Specifically, climate change presents a major threat to food security in Africa for the long term due to the low adaptive capacity to deal with successive climate shocks. There is a need for greater awareness of the trends of food crisis patterns and adaptive initiatives. The objective of this chapter was to analyze the trends of the food crisis in Africa within the past 10 years and adaptive initiatives. Quantitative data analyzed for food security indicators were obtained from the United Nations Food and Agriculture Organization (FAO) and World Development Indicators (WDI) available at the Environment and Climate Change data portal. Policy and adaptation measures related to climate change were reviewed in 26 countries in Africa, with the view to highlight their integrative nature in enhancing food security. High prevalence of undernourishment was observed in six countries, all in sub-Saharan Africa (SSA) including Chad, Liberia, Central African Republic, The Democratic Republic of the Congo, Zambia, and Zimbabwe. Countries with a high land acreage under cereal production recorded reduced undernourishment. Niger demonstrated effective adaptation for food security by registering the highest crop production index in extreme climate variability. However, Kenya appears to be the most predisposed by registering both high climate variability and below average crop production index. It is observed that diversification and technology adoption are key strategies applied across the countries for adaptation. However, the uptake of technology by smallholder farmers is still low across many countries in SSA.
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Chiawo, David O., and Verrah A. Otiende. "Climate-Induced Food Crisis in Africa: Integrating Policy and Adaptation." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-42091-8_75-1.

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AbstractClimate change threatens development and economic growth in Africa. It increases risks for individuals and governments with unprecedented negative impacts on agriculture. Specifically, climate change presents a major threat to food security in Africa for the long term due to the low adaptive capacity to deal with successive climate shocks. There is a need for greater awareness of the trends of food crisis patterns and adaptive initiatives. The objective of this chapter was to analyze the trends of the food crisis in Africa within the past 10 years and adaptive initiatives. Quantitative data analyzed for food security indicators were obtained from the United Nations Food and Agriculture Organization (FAO) and World Development Indicators (WDI) available at the Environment and Climate Change data portal. Policy and adaptation measures related to climate change were reviewed in 26 countries in Africa, with the view to highlight their integrative nature in enhancing food security. High prevalence of undernourishment was observed in six countries, all in sub-Saharan Africa (SSA) including Chad, Liberia, Central African Republic, The Democratic Republic of the Congo, Zambia, and Zimbabwe. Countries with a high land acreage under cereal production recorded reduced undernourishment. Niger demonstrated effective adaptation for food security by registering the highest crop production index in extreme climate variability. However, Kenya appears to be the most predisposed by registering both high climate variability and below average crop production index. It is observed that diversification and technology adoption are key strategies applied across the countries for adaptation. However, the uptake of technology by smallholder farmers is still low across many countries in SSA.
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Santeramo, F. G., T. Balezentis, and M. Tappi. "Weather and Yield Index-Based Insurance Schemes in the EU Agriculture: A Focus on the Agri-CAT Fund." In Springer Actuarial. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80574-5_3.

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Abstract Agriculture is the most vulnerable sector to climate change, e.g., temperatures or rainfall may significantly affect the crop yields, also leading the proliferation of pathogens and hence pests and diseases [1]. The total economic losses from weather- and climate-related have caused damages reaching nearly 487 billion of euros in EEA member countries since 1980, and just 3% of all events are responsible for 60% of economic losses [2]. Extreme weather events such as heavy precipitation, flood, drought, frost, heat, and strong wind are more and more frequent, intense, long-lasting, and they are the major drivers of agricultural losses [3, 4]. Heavy precipitation may reduce photosynthetically active radiation up to irreversible tissue damages, setting the conditions for diseases due to the proliferation of pathogens, nutrient leaching, soil erosion, and oxygen deficit [5, 6], also inducing flash flood events, in combination with other factors as the antecedent soil moisture [7, 8]. Drought and water shortage may affect the metabolism of plants with changes in root growth and architecture, and other tissue-specific responses that modify the flux of cellular signals [9]. The stress due to drought events is the main factor limiting the development of crop and its productivity [10]. Cold may damage the leaf and seedling survival, also leading to the sterility and the abortion of formed grains, especially for the cereal crops [11]. Heat directly affects the crop physiology, reducing photosynthesis rates, leading the acceleration of leaf senescence processes, oxidative damages, and pollen sterility [12]. Strong wind may also be very impactful (i.e., abrasions on the leaves and fruits, defoliations, water loss, desiccation, loss of flowers and poor fruit set), although the plants can change the structure and properties of cells and tissues, re-configuring their canopies as a defensive response [13]. On-farm and risk-sharing strategies are available to improve the resilience of farming systems to weather risks. The former includes risk control (i.e., risk prevention such as irrigation, shading, pest control, improved planning and monitoring activities), reserves (i.e., stocking, financial savings, additional labour input), and diversification (i.e., agricultural and structural diversification as nature conservation or agrotourism, off-farm allocation of resources); the latter includes risk pooling (i.e., mutual funds, agricultural insurance, membership in cooperatives, credit unions, producer organizations), and risk transfer (i.e., forwards, futures contracts) [14]. Member States may grant support for risk management tools (e.g., financial contribution to insurance premiums and to mutual funds) which can help farmers to manage production and income risks related to their agricultural activity and over which they have no control [15]. The new Common Agricultural Policy (CAP) reform is putting increasing emphasis on instrument supporting proactive management of the effects of extreme weather events due to climate change [15]. We provide an overview of the spread of risk management tools subsidised by new CAP 2023–2027, focusing on two promising tools: the weather index-based insurance and the Agri-CAT fund. We also discuss on their feasibility at farm-level, highlighting pros and cons, also animating the debate on how policymakers may improve the attractiveness of risk management tools.
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Basra, Shahzad M. A., Maqsood Hussain, Abdul Wahid, and Muhammad Farooq. "Crop Diversification." In Developing Sustainable Agriculture in Pakistan. CRC Press, 2018. http://dx.doi.org/10.1201/9781351208239-16.

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Rahaman, Hasibur. "Status of Crop Diversification." In Diversified Cropping Pattern and Agricultural Development. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55728-7_4.

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Ramanjaneyulu, A. V., Narayan Chandra Sarkar, R. V. T. Balazzii Naaiik, and Ratikanta Maiti. "Agrotechnology and Crop Diversification." In Bioresource and Stress Management. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0995-2_5.

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Ijaz, Muhammad, Ahmad Nawaz, Sami Ul-Allah, et al. "Crop Diversification and Food Security." In Agronomic Crops. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9151-5_26.

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Banerjee, G. D., and Sarda Banerjee. "Crop Diversification: An Exploratory Analysis." In India Studies in Business and Economics. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1997-2_4.

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Divya Meena, S., Pokala Rama Meghana, Chennareddy Saı Sındhu, Kopparla Varshını, Chıttemreddy Gnanendar Reddy, and J. Sheela. "Fuzzy Logic-Based Crop Diversification to Increase Crop Yield." In Proceedings of the 7th International Conference on Advance Computing and Intelligent Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-5015-7_5.

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Mermut, Ahmet Ruhi. "Crop Diversification Practices in Saskatchewan, Canada." In Crop Production for Agricultural Improvement. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4116-4_20.

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Conference papers on the topic "Index of crop diversification"

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Zhao, Haoteng, Feng Gao, Martha Anderson, et al. "Phenologically Corrected Crop Condition Mapping and Assessment with Vegetation Index Time Series." In 2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, 2024. http://dx.doi.org/10.1109/agro-geoinformatics262780.2024.10660930.

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Srivastava, Harsh, and Triloki Pant. "Beyond NDVI: A Proposed Vegetation Cover Index (VCI) for Crop and Vegetation Segregation." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984351.

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Tang, Lei, Zhong Ma, Zhao He, Kedi Lu, Pengcheng Huo, and Haochen Zhang. "Leveraging Large Models for Crop Production Index Prediction Through Remote Sensing Data: A New Chapter Towards Sustainable Agriculture." In IAF Earth Observation Symposium, Held at the 75th International Astronautical Congress (IAC 2024). International Astronautical Federation (IAF), 2024. https://doi.org/10.52202/078362-0145.

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AHRABOUS, Mhamed, Khalil ALLALI, Aziz FADLAOUI, and Fatima ARIB. "RESILIENCE OF AGRICULTURAL FARMS IN THE FACE OF CLIMATE CHANGE: THE CASE OF THE TODGHA OASIS, MOROCCO." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/4.2/s19.45.

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This study investigates the adaptive strategies of farmers in the Todgha oasis, Morocco, as they respond to the pressing challenges of climate change. Through a mixed-methods approach, we assess the resilience mechanisms adopted to sustain agricultural production amidst increasing temperatures, unpredictable rainfall, and shifting ecological conditions. Key findings reveal that farmers rely heavily on traditional water management systems, including khettaras and modern pump-assisted irrigation, to mitigate water scarcity. Additionally, the oasis�s date palm cultivation forms a microclimate that supports a variety of crops, underscoring the importance of agroecological diversification in local resilience. Despite these efforts, rising climate impacts have affected both crop yields and livestock productivity, prompting farmers to diversify their income through off-farm activities and, in some cases, migration. This research emphasizes the critical need for policies and investment in climate-resilient infrastructure that respect traditional practices while introducing technological advancements. Supporting these strategies is essential to ensuring the sustainability and economic vitality of the Todgha oasis in an era of climate change.
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Nikolova, Nina, Simeon Matev, Neli Hristova, and Kalina Radeva. "HYDROMETEOROLOGICAL DROUGHT IMPACT ON CEREAL PRODUCTION IN NORTHERN BULGARIA." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/3.1/s12.15.

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On the background of regional climate changes, an increase in the frequency and intensity of extreme droughts has been observed in many regions of Europe in recent years, and this trend is expected to continue in the future. While common in southern Europe, including Bulgaria, drought can adversely affect human life and economic activities. Extreme droughts lead to water scarcity, restricting the availability of irrigation water for agricultural purposes. In the regions where irrigation is vital for sustaining crop production, diminished water availability can result in crop failures and economic losses. This study aims to contribute to understanding the climate-water-food nexus by assessing the impact of drought on the main cereal crops in Bulgaria, namely maize, wheat, and barley. The analysis incorporates climatic data (air temperature and precipitation), hydrological data (streamflow), and statistical data on crop yields. Drought indices such as Standardized Precipitation Evapotranspiration Index (SPEI), Standardized Precipitation Index (SPI), and Streamflow Drought Index (SDI) were calculated at different timescales (from 1 to 12 months) to identify drought periods. A significant decrease in yields is observed during dry years. Correlation analysis shows a clear link between drought in warm months and maize production, while the winter drought is more crucial for wheat and barley.
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Pin Keong, Er, Muhammad Ehsan Rana, and Vazeerudeen Abdul Hameed. "Crop Suitability Prediction Model for Malaysian Crop Diversification." In 2022 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2022. http://dx.doi.org/10.1109/dasa54658.2022.9765283.

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Leandro, Leonor, Matt Liebman, and Craig Chase. "Crop diversification: Impact on weeds, soybean sudden death syndrome and crop productivity." In Proceedings of the 21st Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 2012. http://dx.doi.org/10.31274/icm-180809-90.

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Rak, J., and K. Boryczko. "Assessment of water supply diversification using the Pielou index." In The Fifth National Congress of Environmental Engineering. CRC Press, 2016. http://dx.doi.org/10.1201/9781315281971-8.

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Fan, Jinlong, Mingwei Zhang, Jianxi Huang, et al. "A comprehensive crop drought index based on multiple crop condition indicators." In 2013 Second International Conference on Agro-Geoinformatics. IEEE, 2013. http://dx.doi.org/10.1109/argo-geoinformatics.2013.6621948.

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Narayanan, Krishnan, Rekha Bisht Sirola, Shenaz Rasheed, and Satish Kumar. "1 Congruity between crop diversification and dietary diversity: study of Akole block in Maharashtra." In Oral Presentations and Poster Abstracts from the 8th International Summit on Nutrition and Health, July 2022. BMJ Publishing Group Ltd, 2023. http://dx.doi.org/10.1136/bmjnph-2023-nnedprosummit2022.4.

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Reports on the topic "Index of crop diversification"

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Prasad, Aathira, Salma Refass, Nasser Saidi, Fadi Salim, and Ben Shepherd. Global Economic Diversification Index 2023. Mohammed bin Rashid School of Government, 2023. https://doi.org/10.46993/1/52.

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Economic diversification has gained traction in major commodity-producing nations given its multiple benefits including to macroeconomic stability, economic growth, job creation, and development alongside promoting greater private sector activity, more sustainable public finances as well as greater skill diversity in the labour force. However, despite policy interest in economic diversification, there is no uniformly agreed or available measure or index of economic diversification. The first edition of the Global Economic Diversification Index (EDI) was published in 2022, specifically aiming to fill this gap in terms of data, thought leadership, and the availability of data-driven policy instruments to track economic diversification. The first edition of the EDI measured and ranked 89 countries on the extent of their economic diversification from a multi-dimensional angle, exploring diversification of economic activity, international trade, well as government revenues (away from a dependence on natural resource or commodity revenue).
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Saeed, Hamid, Keertana Subramani, Salma Refass, Nasser Saidi, Fadi Salem, and Ben Shepherd. Global Economic Diversification Index 2025: Navigating economic diversification in a de-globalized world. Mohammed bin Rashid School of Government, 2025. https://doi.org/10.46993/1/46.

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The Global Economic Diversification Index (EDI) 2025 report provides valuable longitudinal datasets to inform policy, research, and economic development efforts across the globe. It specifically highlights the importance of economic diversification for commodity-producing nations to mitigate the risks of growth, trade, and revenue volatility. The report underscores the vulnerability of countries dependent on commodities to various shocks, such as price fluctuations, climate change, and global pandemics. Successful diversification can be accelerated through adopting new technologies and digitalisation, moving towards a servicesbased economy, focusing on value-added manufacturing, and investing in human capital and infrastructure.
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Prasad, Aathira. Global Economic Diversification Index 2024: Exploring the impact of digital trade on economic diversification. Mohammed bin Rashid School of Government, 2024. https://doi.org/10.46993/1/53.

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The Global Economic Diversification Index (EDI) continues to provide a universal quantitative measure of the state and evolution of the economic diversification of countries going back to the year 2000, based on publicly available indicators, data and information. The 2024 edition of the Global EDI expands the coverage to a total of 112 countries (7 additional countries compared to the previous EDI edition) owing to improved data availability.
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Bannari, A., D. Haboudane, H. McNairn, and F. Bonn. Modified Soil Adjusted Crop Residue Index (MSACRI): A new index for mapping crop residue. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/219698.

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Research Institute (IFPRI), International Food Policy. Food and nutrition security implications of crop diversification in Malawi’s farm households. International Food Policy Research Institute, 2018. http://dx.doi.org/10.2499/9780896292864_05.

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Havrlant, David, and Abdulelah Darandary. Economic Diversification under Saudi Vision 2030. King Abdullah Petroleum Studies and Research Center, 2021. http://dx.doi.org/10.30573/ks--2021-dp06.

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The last decade has brought a row of substantial changes that have profound implications for the traditional hydrocarbon resource-rich economies. Economic conditions may change radically either throughout a decade or within months. The question is whether there is no other option for a hydrocarbon resource-rich economy than to be held hostage to the fluctuations in global oil prices. The general answer to a changing environment is: Adapt! From the macroeconomic perspective, this means diversifying the economy to broaden the income base and significantly reduce the dependence on oil revenues. The Saudi Vision 2030 represents a complex plan for substantial socioeconomic adjustments that are about to move the economy toward a more diversified and sustainable one. This discussion paper examines the preferred diversification paths for the Saudi economy in more detail, with a focus on the foreseen adjustments in the sectoral composition of the economy along with broader macroeconomic shifts. The evaluation of the foreseen diversification impacts is based on the updated Vision 2030 Input-Output Table that maps the changing structure of the Saudi economy over the coming decade. We discuss the assumed expansion of the diversification frontrunners, their changing contribution to the overall economic activity and identify the preferred diversification paths for the Saudi economy. The advances in economic diversification are measured by applying the Shannon-Weaver index to sectoral GDP and household income. The expected sectoral changes are wide-reaching, so the basic macroeconomic relations are also subject to adjustments. We also conduct a sensitivity analysis to examine the effects of the foreseen diversification on the resilience of the Saudi economy to external shocks.
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Research Institute (IFPRI), International Food Policy. Women’s empowerment and crop diversification in Bangladesh: A possible pathway to climate change adaptation and better nutrition. International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/p15738coll2.133306.

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Alarcon, Marco. Practical Use of the Crop Water Stress Index Model in California Almonds. Iowa State University, 2023. http://dx.doi.org/10.31274/cc-20240624-1141.

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Bravo-Ureta, Boris E., Daniel Solís, and Horacio Cocchi. Output Diversification among Small-Scale Hillside Farmers in El Salvador. Inter-American Development Bank, 2006. http://dx.doi.org/10.18235/0011177.

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In this study the authors analyze the degree of output diversification (anything produced in the farm that is not a subsistence crop, i.e., corn or beans) among 520 hillside farmers in El Salvador. Techniques were employed to construct a comparison group that resembles the treatment group based on observed characteristics while statistical controls were applied to measure differences on diversification for the treatment group at two points in time (2002 and 2005) and between the treatment and comparison groups at a given point in time (2005), allowing for before-after and with-without comparisons. The outcome of the study showed that overall, more diversified farm plans are positively associated with farm size, schooling, participation in communal organizations, and with the frequency of extension visits, which captures the PAES intervention. Also, farmers involved with PAES have significantly increased the number of agricultural activities in their farms between 2002 and 2005.
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Ceballos, Francisco, and Berber Kramer. From index to indemnity insurance using digital technology: Demand for picture-based crop insurance. International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/p15738coll2.133524.

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