Relevant bibliographies by topics / Agricultural Economic Data

Academic literature on the topic 'Agricultural Economic Data'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Agricultural Economic Data"

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Ghosh, Sujit K. "Economic Implications of Imputation in Agricultural Economic Data: Discussion." American Journal of Agricultural Economics 93, no. 2 (January 2011): 627–28. http://dx.doi.org/10.1093/ajae/aaq165.

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Wrzaszcz, Wioletta, and Józef Stanisław Zegar. "Economic sustainability of agricultural holdings on the basis of the data of the Agricultural Census 2010." Wiadomości Statystyczne. The Polish Statistician 60, no. 6 (June 29, 2015): 41–53. http://dx.doi.org/10.5604/01.3001.0016.0827.

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Measuring the level of agriculture sustainability is very complex. Different proposals are presented and discussed, and still, there is no generally accepted measures of the sustainability of agriculture. This problem also concerns economic sustainability of agriculture. Sustainability of agricultural holdings determines the sustainability of agriculture, although these notions are not identical. The purpose of the article is to present proposals for measuring the economic sustainability of agricultural holdings on the basis of Agricultural Census 2010 data. This article sets the following indicators of the economic sustainability: land productivity, labour profitability, farms market activity and sources of households’ income and maintenance. The analysis concerns individual agricultural holdings with at least 1 ha of agricultural land and it is also carried out in four area groups.
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Herath, Janaranjana, and David Hill. "Harnessing Agricultural Potentials for Economic Growth in North Carolina." Sustainable Agriculture Research 2, no. 2 (March 5, 2013): 142. http://dx.doi.org/10.5539/sar.v2n2p142.

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Agriculture in North Carolina contributes to 19 percent of the state’s income and employs over 20 percent of the work force. Agricultural activities are significant in rural counties and nearly 30 percent of the total population of North Carolina lives in 85 rural counties. Individuals in these rural counties have less income, education, and employment opportunities eventually in high poverty and unemployment rates. The objective of this study is to examine the potential use of agriculture in economic growth of North Carolina using county level data. Data were gathered from U.S. Bureau of Labor Statistics, U.S. Department of Agriculture, and U.S. Census Bureau for the period of 2000 to 2010. A system of simultaneous equations is used for the analysis. Results highlight that increasing income increases agricultural activities and vise versa. Thus, the counties with high household income levels are more capable of incorporating agriculture in economic growth while the counties with significant agricultural activities are more competent of improving income levels. Overall, results conclude the importance of secured satisfactory level of income through agriculture to enhance economic growth.
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Rajagukguk, Wilson. "Agriculture and regional economic growth in Indonesia." E3S Web of Conferences 258 (2021): 06037. http://dx.doi.org/10.1051/e3sconf/202125806037.

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The Republic of Indonesia consists of 34 provinces in 514 districts with diverse economic characteristics. The objective of this research is to analyze the association between agriculture sector and regional economic growth in Indonesia. The data source was from the Indonesia Database for Policy and Economic Research (INDO-DAPOER) of the World Bank. The study covered the period between 2001 and 2008. The province total gross domestic product (GDP) excluding oil and gas was used as the outcome variable. The covariates were grouped into agricultural and development variables. The agricultural variables were total agricultural credit, number of people employed in agriculture, forestry and fishery, and agriculture function expenditure. Meanwhile, the development variables were percentage of household with access to safe water and literacy rate for population age 15 and over. The data analysis method was the generalized least square multiple regression with random effects. The results of the study indicate that the Indonesia’s province GDP increased every year. In addition, higher economic growth was associated with higher total agriculture credit, larger number of people employed in agriculture, forestry and fishery, higher agricultural function expenditure, higher percentage of household with access to safe water, and higher literacy rate for population age 15 and over.
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Wang, Lei, and Hongwei Tan. "Agricultural Economic Risk Forecast Based on Data Mining Technology." Computational Intelligence and Neuroscience 2022 (April 27, 2022): 1–9. http://dx.doi.org/10.1155/2022/3684736.

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In order to improve the effect of agricultural economic risk forecast, this paper studies the agricultural economic risk forecast combined with data mining technology and builds an intelligent agricultural economic risk forecast system. Moreover, this paper employs a dynamic factor model to estimate common factors that drive changes in target topics. In order to construct a sentiment index that can reflect the overall operating situation of the macroeconomy, this paper improves the agricultural economic risk mining algorithm and standardizes the sentiment value corresponding to the target theme. In addition, this article analyzes the sentiment changes of its individual topics one by one in combination with the specific economic environment. The simulation study shows that the agricultural economic risk forecast system based on data mining technology proposed in this paper has a good effect.
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Szabó, L., and Zsarnóczai JS. "Economic conditions of Hungarian agricultural producers in 1990s." Agricultural Economics (Zemědělská ekonomika) 50, No. 6 (February 24, 2012): 249–54. http://dx.doi.org/10.17221/5198-agricecon.

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The main aims of this study are to describe how much the economic role of agriculture decreased, and this decrease comes mainly from some economic difficulties, for example weak income position of producers based on weak capital accumulation. So agricultural producers need financial supports to improve their production and favourable credit conditions. In 1990s during the last decade, the role of agriculture in the national economy decreased, which contributed to its decreasing share in GDP and real value of agricultural GDP. In 2001, in spite of the fact that the plant production considerably increased and the animal husbandry stagnated, the whole agricultural production volume was by 20 percent under its level of 1989. Finally by the end of 2001, the share of agriculture declined to 4 percent of GDP and together with food industry, their share was about 7 percent. The agricultural scissors increased considerably, namely from 126.5 percent in 1992 to 138.4 percent in 2001.The income conditions made a significant influence on the capacity of the agricultural sector in fields of investments and accumulation. The main problem was the decline of real value of investments. For example the real value of investments in 2001 had not implemented half of investments realised in 1989. This situation showed the low level of technological and technical development in the agricultural sector during a longer period, than a decade. It was important to increase different kinds of supports for agricultural producers, for example: export subsidies, interests of credits, supports for establishing new farmland structure. The share of supports for agricultural production and food industry was 12–14 percent of the two sectors’ GDP in 1990s. The development of the main factors of agricultural incomes was determined by index calculations based on the data of the APEH (Hungarian Tax and Financial Supervising Office) and EAA (Economic Accounts for Agriculture). The supports are needed, which are as follows: based on the APEH data, the profit before tax of 23 billion HUF in 1997 decreased to the loss-level of 8 billion HUF by the end of 1990s. The main aim for agricultural producers was to increase their capital accumulation to implement improvement of production in order to be competitive on the world and domestic markets. There is a difficulty that at the end of 1990s, only about 30 percent of the supports was directly provided for agricultural producers. In Hungary, without taxes and other different deprivals, the current value of production supports was over the level of incomes obtained in agricultural sector, but according to the calculation methods of the OECD, the value of PSE (PSE= Producer Support Estimate) index was at a very low level and it had a decreasing tendency, which could not ensure enough income for agricultural producers in Hungary. So the development of agricultural production cannot be realised additionally to the unfavourable background conditions for the sector. Comparing the support structure experienced in the OECD with that in Hungary, it can be declared, that within the PSE (Producer Support Estimate) during 1997–2000, the MPS (Market Price Support) declined, similarly it was in Hungary. In the OECD, the 8–9 percent share of payments based on input use has remained at same level within the PSE. The subsidy based on input use in Hungary was a main element within the overall subsidy system, and its proportion within the producer subsidy increased from 9 percent to 27 percent during the same period. The payment based on the regulation on input use (environment friendly production) also decreased and shared 2 percent within producer subsidies. In the OECD, payments based on farming income totalled only 1 percent of the total producer subsidies, as well as it was experienced in Hungary. Hungarian market price subsidies by products reveal that milk, eggs and poultry enjoyed a high Market Price Support. On the other hand, Market Price Support to beef cattle remained low.
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Liu, Shu, and Yuting Wu. "Economic Benefit Evaluation and Analysis Based on Intelligent Agriculture Internet of Things." Journal of Mathematics 2021 (December 20, 2021): 1–7. http://dx.doi.org/10.1155/2021/9499197.

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There has been a consensus on the development of ecological agriculture to promote the leap from traditional agriculture to ecological agriculture, but the unavoidable fact is that the development of ecological agriculture is still relatively slow at the present stage and has not formed a major climate and great influence. The rise of the Internet is a technology that has promoted the transformation and upgrading of modern agriculture, changed the traditional agricultural production mode, and accelerated the scientific and technological integration of information. In view of the characteristics and difficulties of agriculture, this paper builds an Agricultural Internet of Things (IoT) management system to realize the integrated management of Internet equipment and realize the management of environmental data, video data, and agricultural expert knowledge. Then from perception technology, transmission technology, and the perspective of three intelligent information processing technologies, this paper introduces the present state of agricultural IoT, analyzes the Internet of Things to the economic benefits of agricultural production, to research the problems of China’s agricultural development of the Internet of Things, and puts forward China’s agricultural Internet of the future research emphasis and direction of development.
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Nohel, František, Daniela Spěšná, and Pavel Pospěch. "Regional markets with agricultural workforce based on Labour offices' data." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 59, no. 4 (2011): 177–86. http://dx.doi.org/10.11118/actaun201159040177.

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The changes in Czech agriculture over the past twenty years have had their impact on the agricultural labour market, too. The regional differentiation of the chances of applicants on the labour market as well as the agricultural enterprises’ chances of hiring employees fitting their requirements, are, among others, influenced by the specific conditions of agricultural production. The aim of this paper pertains to two basic problem areas: first, the differentiation of respective regions based on the number of agricultural applicants and job vacancies, and second, the identification of disequilibrium on the agricultural labour market. The latter is based on a theoretical framework defined by approaches in economy dealing with labour market equilibrium. Due to the unavailability of economic data (including wages, economic performance, etc.) on the regional level, authors develop their own methodological approach, based on the number of applicants per job vacancy. A database of applicants and vacancies available from the Labour Offices is used as a source for the analysis and interpretation of data, enabling us to study the agricultural labour market not only sector-wise but also region-wise.
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Lerohl, M. L. "Issues in Canadian Agricultural Economic Data: A Selected Review." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 36, no. 2 (July 1988): 175–86. http://dx.doi.org/10.1111/j.1744-7976.1988.tb03270.x.

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Marjudi, Suziyanti, Roziyani Setik, Mohamad Aizi Salamat, and Muhammad Fahruddin Irfan Yusfaidir. "The Design and Development of Smart Agriculture Data Analytics." International Journal of Emerging Technology and Advanced Engineering 13, no. 1 (January 3, 2023): 82–91. http://dx.doi.org/10.46338/ijetae0123_10.

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Agriculture is on the verge of entering the Smart Farming era, in which farming operations will become digitalized and data-driven, allowing for better decision support, smart analytics, and forecasting. Farming is the most diverse economic sector and is critical to a country's overall economic development. The Internet of Things (IoT) can potentially optimize agriculture and farming sector activities by reducing manpower through technology. Forecasts are central to most agricultural and agricultural-related operations. Smart Agriculture Data Analytics (SADA) was developed to address this issue. SADA is an embedded system with two components: data analytics and the Internet of Things (IoT). IoT in SADA also assists farmers in collecting data and learning more about the appropriate soil PH scale, fertilizer dataset, air humidity, and temperature. A prototyping model is used in software development. The farmer can provide real-time feedback, request project changes, and update model specifications. SADA will help farmers understand the trend of analytics crop production, allowing them to increase yield
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Dissertations / Theses on the topic "Agricultural Economic Data"

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Larsén, Karin. "Economic consequences of collaborative arrangements in the agricultural firm /." Uppsala : Dept. of Economics, Swedish University of Agricultural Sciences, 2008. http://epsilon.slu.se/200828.pdf.

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Atici, Kazim Baris. "Using data envelopment analysis for the efficiency and elasticity evaluation of agricultural farms." Thesis, University of Warwick, 2012. http://wrap.warwick.ac.uk/54354/.

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Data Envelopment Analysis (DEA) is a well-established relative efficiency measurement technique, which has been widely applied to evaluate the technical efficiency of agricultural units in different countries by focusing on different aspects of agricultural production. This research deals with the evaluation of efficiency through DEA in non-homogeneous agricultural production, where units produce a wide range of different outputs. The objectives are threefold. Firstly, we propose a novel methodological approach of integrating the production trade-offs concept of DEA into non-homogeneous agricultural efficiency evaluation to prevent the overstatement of the efficiency of specialist farms and overcome the issue of insufficient discrimination due to large number of outputs in the models. Secondly, we aim to integrate this methodological perspective to the theory of elasticity measurement on DEA frontiers. The efficient frontiers of DEA are not defined in functional forms as in the classical economic theory, therefore obtaining elasticity measures on them require different considerations. We introduce the production trade-offs to the elasticity measurement and derive the necessary models to calculate the elasticities of response in the presence of production trade-offs. As a third objective, before moving to the introduction of the trade-offs in elasticity measurement, for theoretical completeness, we first consider the elasticity measurement on DEA frontiers of constant returns-to-scale (CRS) technologies. Our proposed methodology and all the developed elasticity theory are illustrated in a real world case of Turkish agricultural sectors. We provide extensive empirical applications covering all the proposed theory and methodology. Among the results of this research, we provide an elasticity measurement framework, which enables us to calculate elasticities of response measures in both VRS and CRS technologies, with or without production tradeoffs included. We observe that the integration of production trade-offs provide better discrimination of efficiency scores compared to the models without trade-offs included. We also investigate how changing production trade-offs affect the efficiency and elasticity measures of the evaluated units.
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Wearaduwa, Vidana Kankanamge Thilani Kaushalya. "Economic Efficiency of Occupational Health and Safety Investments at Agricultural Cooperatives." Thesis, North Dakota State University, 2018. https://hdl.handle.net/10365/28861.

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Industries related to agricultural cooperatives record some of the highest injury rates in the U.S. Therefore, agricultural cooperatives are highly motivated to invest in occupational health and safety (OHS). This thesis examines the economic efficiency of OHS investments at agricultural cooperatives and identifies cooperative characteristics leading to greater economic efficiency of OHS investments. A multiple input-output data envelopment analysis (DEA) is used to estimate technical efficiency. The effects of cooperative characteristics on the efficiency of OHS investments are estimated using ordinary least squares, censored regression, truncated regression, and the Simar and Wilson (2007) bootstrap procedure. Results show that the mean technical efficiency score was 0.833. Furthermore, a cooperative?s annual insurance premia has a significant, negative relationship with technical efficiency. In contrast, the experience levels of a cooperative?s top safety person and top managerial person and a location?s total workers employed have significant, positive relationships with efficiency in all estimated models.
North Dakota State University. Department of College of Agriculture, Food Systems and Natural Resources
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Parman, Bryon James. "Economies of scale for data envelopment analysis with a Kansas farm application." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/16002.

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Doctor of Philosophy
Department of Agricultural Economics
Vincent Amanor-Boadu
Allen M. Featherstone
Estimation of cost functions can provide useful economic information to producers, economists, and policy makers. From the estimation of a cost function, it is possible to calculate cost efficiency, economies of scope, and economies of scale. Economic theory specifies the cost function as a frontier since firms cannot operate at lower cost than the cost minimizing input/output bundle. However, traditional parametric estimation techniques often violate economic theory using two sided-error systems. The stochastic frontier method has allowed the estimation of a frontier but continues to restrict the technology through functional assumption. Nonparametric frontier estimation is an alternative approach to estimate a cost frontier by enveloping the data which by its construct, conforms to economic theory. This research expands the economic information available by deriving multi-product scale economies and product-specific scale economies from the nonparametric approach. It also tests its ability to accurately recover these important economic measures under different assumptions of the cost function, and cost inefficiency distributions. Next, this new method is compared to other methods used to estimate cost functions and associated economic measures including a two-sided error system, stochastic frontier method, and an OLS model restricting the errors to take on only positive values. Finally, the nonparametric approach with the new measures is applied to a sample of Kansas farms. The nonparametric approach is able to closely estimate economies of scale and scope from estimation of a cost frontier. Comparison reveals that the nonparametric approach is closer to the “true” economic measures than some parametric methods and that it is better able to extrapolate out of sample when there are no zero output firms. Finally, the nonparametric approach shows that potential cost savings from economies of scale and economies of scope exist for small Kansas farms. However, cost savings from economies of scale become exhausted when farms exceed gross annual revenues of $500k, while economies of scope also diminish as farms grow larger. Results also show from annual frontier estimations that estimates of economies of scale, scope, and cost efficiency have remained relatively stable from 2002 to 2011.
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Nelson, Andrew Darren. "The spatial analysis of socio-economic and agricultural data across geographic scales : examples and applications in Honduras and elsewhere." Thesis, University of Leeds, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405809.

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Hartwich, Frank. "Evaluating performance of agricultural research & development : an economic analysis of R & D in universities and other research organizations in Cameroon and Tanzania /." Beuren : Grauer, 2001. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=009836947&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Remaury, Hugo. "Ex-ante economic and ecosystem service potential of simulated conservation practices in Ghana using a minimum data approach." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/13248.

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Master of Science
Department of Agricultural Economics
Timothy J. Dalton
Given the changing climate paradigm, food and poverty are likely to become more severe in Africa. Farmers can adapt to climate change, especially through conservation agriculture. This study relies on a minimum data approach developed by Antle and Valvidia (2006) to estimate the spatial distribution of opportunity cost for farmers in switching to conservation practices in Wa, Ghana. It assesses the economic feasibility of several scenarios that rely on production techniques currently studied by the CRSP SANREM project. We also explore the possibility that these practices can provide income from carbon sequestration payments implemented by the Kyoto protocol’s Clean Development Mechanisms. The methodology uses data from both a recent survey and information from secondary sources to assess simulated management practices. Results indicate that all the simulated management practices would theoretically benefit farmers. In fact, adoption rates for the four scenarios range from 52% to 65%, even without any carbon payment. Adding a proportional payment to the amount of carbon sequestered with these practices does not seem enough to influence farmers switch to switch to alternative scenarios. The analysis shows that these results hold even when additional fixed costs to adopt these practices are included. This case study demonstrates the usefulness of the minimum data approach in estimating the economic potential of conservation practices in Ghana. These production techniques may represent environmentally-friendly alternatives that are more profitable for farmers than current practices. The next step in assessing implementation of such practices would require studying farmers’ willingness to adopt these production systems, given their ex-ante economic returns.
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Linde-Rahr, Martin. "Household economics of agriculture and forestry in rural Vietnam /." Göteborg : Dept. of Economics [Nationalekonomiska institutionen], Univ, 2002. http://www.handels.gu.se/epc/data/html/html/PDF/LindeRahrdissNEpdf.pdf.

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Musemwa, Lovemore. "Economics of land reform models used in Mashonaland Central Province of Zimbabwe." Thesis, University of Fort Hare, 2011. http://hdl.handle.net/10353/435.

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The land reform that has unfolded in Zimbabwe since 1980 used different models and had diverse consequences. Since the implementation of the fast tract land reform programme in 2000, Zimbabwe experienced heavy reduction in yield and output at farm level that led to a 70% shortfall in production to meet annual food requirements (Richardson, 2005). The economic crisis in Zimbabwe has been characterized by worsening food insecurity especially in the rural areas where harvests continue to be poor. In the beef sector, Zimbabwe has failed to meet its export quota to the EU. The shortfall in production to meet annual food requirements shows a very grim situation but do not tell us about the performance of resettled farmers who now occupy much of the productive land. The broad objective of the study was to determine and compare the production efficiency of resettled farmers in Zimbabwe across land reform models. In addition, the study determined land use intensity. The study was conducted in the Mashonaland Central Province of Zimbabwe mainly because a wide variety of field crops were grown by resettled farmers. The respondents were stratified into three groups. These were: beneficiaries of land reform before 2000 (resettle scheme), fast track A1 model and fast track A2 model. The three models differ on how they were implemented and supported and this might result in different efficiencies of the models. A total of 245 copies structured questionnaire were administered on the resettled farmers from June to September 2010. Descriptive statistics was applied to the basic characteristics of the sampled households. The effect of model of land reform, gender of the household head, marital status, age of the household head, education, household size, religion, dependence ratio, whether the farmer was fulltime or part-time in farming, experience of the farmers in farming at that environment, total land size owned by the farmers and soil type on revenue per hectare and land use rate were determined using the GLM procedure of SAS (2003). Significance differences between least-square group means were compared using the PDIFF test of SAS (2003). The relationship between Revenue and land utilization was examined using the Pearson‟s correlations analysis. Dependance between response variables that had an effect on either revenue per hectare or land utilization with all the other response variables was tested using the Chi-square test for dependance. To find the effect of arable land used and herd size on revenue per hectare and land use the RSREG Procedure of SAS (2003) was used. Input oriented DEA model under the assumption of constant return to scale was used to estimate efficiency in this study. To identify factors that influence efficiency, a Tobit model censored at zero was selected. The mean land use rate varied significantly (p<0.05) with the land reform model with A2 having highest land use rate of 67%. The A1 and old resettlement households had land use rates of 53% and 46%, respectively. Sex, marital status, age of the household head, education and household size significantly affected land use (P<0.05). Revenue per hectare was not affected by any the factors that were inputted in the model. Results from the DEA approach showed that A2 farmers (large land owners) had an average technical efficiency score of 0.839, while the lowest ranking model (A1) had an average score of 0.618. Small land holders (A1 and the old resettled farmers) are on average less cost-efficient than large land owners, with a score of 0.29 for the former compared with 0.45 for the latter. From the factors that were entered in the Tobit model, age of household head, excellent production knowledge and farmer status affected technical efficiency whereas allocative efficiency was only affected by good production knowledge, farm size, arable land owned and area under cultivation. Factors which affected economic efficiency of the resettled farmers are secondary education, household size, farm size, cultivated area and arable land owned. None of the included socio-economic variables has significant effects on the allocative and economic efficiency of the resettled farmers. Thus, the allocative and economic inefficiencies of the farmers might be accounted for by other natural and environmental factors which were not captured in the model.
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Catney, Denise Catherine. "Mathematical modelling of abbatoir condemnation data." Thesis, Queen's University Belfast, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388044.

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Books on the topic "Agricultural Economic Data"

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Womack, Letricia M. U.S.-state agricultural data. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 1987.

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Womack, Letricia M. U.S.-state agricultural data. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 1987.

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Womack, Letricia M. U.S.-state agricultural data. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 1987.

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G, Traub Larry, and United States. Dept. of Agriculture. Economic Research Service., eds. U.S.-state agricultural data. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 1987.

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G, Traub Larry, Rivers Mary H, and United States. Dept. of Agriculture. Economic Research Service., eds. U.S.-state agricultural data. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 1986.

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Womack, Letricia M. U.S.-state agricultural data. Washington, DC: U.S. Dept. of Agriculture, Economic Research Service, 1993.

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Womack, Letricia M. U.S.-state agricultural data. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 1987.

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Womack, Letricia M. U.S.-state agricultural data. Washington, DC: U.S. Dept. of Agriculture, Economic Research Service, 1993.

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Womack, Letricia M. U.S.-state agricultural data. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 1987.

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Womack, Letricia M. U.S.-state agricultural data. Washington, DC: U.S. Dept. of Agriculture, Economic Research Service, 1993.

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Book chapters on the topic "Agricultural Economic Data"

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Kokic, Philip N., Nhu Che, and Raymond L. Chambers. "Analysis of Economic Data Collected in Farm Surveys." In Agricultural Survey Methods, 323–40. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470665480.ch20.

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Huffaker, Ray, Ernst Berg, and Maurizio Canavari. "Reconstructing deterministic economic dynamics from volatile time series data." In The Routledge Handbook of Agricultural Economics, 533–47. New York, NY : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315623351-29.

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Oustapassidis, K., A. Sergaki, and G. Baourakis. "The Economic Development of the Greek Agricultural Marketing Co-Operatives." In Advances in Stochastic Modelling and Data Analysis, 168–76. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-017-0663-6_10.

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Zhang, Yinyin. "Urban Agricultural Eco-Economic System Based on Data Mining Technology." In Lecture Notes in Electrical Engineering, 533–39. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4132-0_66.

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Le Roux, Corlise L. "Volatility Modelling of Agricultural Commodities: Application of Selected GARCH Models." In Advances in Panel Data Analysis in Applied Economic Research, 343–56. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70055-7_27.

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Sonka, Steven T. "Digital Technologies, Big Data, and Agricultural Innovation." In The Innovation Revolution in Agriculture, 207–26. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50991-0_8.

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Abstract Innovation in agricultural practices and food system performance is urgently needed to effectively respond to societal challenges of today and tomorrow. Expanding population, a changing climate, environmental distress, and the need for more nutritious and safe food supplies are only a few of those challenges. In response, new tools employing digital technology and big data are being developed and applied within agricultural production systems. This chapter explores the potential for the effective implementation of such tools and their prospective impact. While these tools provide the means to measure agricultural production activities as they happen, it is important to stress that adoption hinges on both technological and economic factors. The tools of digital technologies and big data are intriguing because their implementation is a key form of innovation and because the use of these technologies can foster additional innovation by making existing innovation systems even more effective.
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Liu, Wei. "Establishment of Agricultural Economic Management Data Model Based on Block Chain Technology." In Lecture Notes on Data Engineering and Communications Technologies, 64–70. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5854-9_8.

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Hallam, Arne. "Similarities and Differences in the Data Needs for Farmer Planning, Economic Research, and Policy Analysis." In Costs and Returns for Agricultural Commodities, 367–82. New York: CRC Press, 2021. http://dx.doi.org/10.1201/9780429036385-41.

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Williamson, Hugh F., and Sabina Leonelli. "Cultivating Responsible Plant Breeding Strategies: Conceptual and Normative Commitments in Data-Intensive Agriculture." In Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development, 301–17. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13276-6_16.

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AbstractThis chapter argues for the importance of considering conceptual and normative commitments when addressing questions of responsible practice in data-intensive agricultural research and development. We consider genetic gain-focused plant breeding strategies that envision a data-intensive mode of breeding in which genomic, environmental and socio-economic data are mobilised for rapid crop variety development. Focusing on socio-economic data linkage, we examine methods of product profiling and how they accommodate gendered dimensions of breeding in the field. Through a comparison with participatory breeding methods, we argue that the conceptual commitments underpinning current methods of integrating socioeconomic data into calculations of genetic gain can preclude the achievement of key social development goals, and that better engagement with participatory approaches can help address this problem. We conclude by identifying three key avenues towards a data-intensive approach to plant breeding that utilises the diverse sources of relevant evidence available, including socio-economic data, and maximises the chance of developing sustainable and responsible strategies and research practices in this domain: (1) reliable, long-term management of data infrastructures; (2) ongoing critical analysis of the conceptual foundations of specific strategies; and (3) regular transdisciplinary consultations including expertise in the social studies of agricultural science as well as participatory breeding techniques.
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Rukhaia-Mosemgvdlishvili, Nino. "A Stimulating Export Oriented Policy of Agricultural Sector of Developing Countries on Example of Georgia." In Advances in Time Series Data Methods in Applied Economic Research, 335–54. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02194-8_23.

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Conference papers on the topic "Agricultural Economic Data"

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DRĂCEA, Raluca, and Laura CIOBANU. "THE CONTRIBUTION OF THE AGRICULTURAL SECTOR TO ECONOMIC GROWTH IN ROMANIA." In Competitiveness of Agro-Food and Environmental Economy. Editura ASE, 2022. http://dx.doi.org/10.24818/cafee/2019/8/08.

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Although agriculture is one of the main economic sectors of Romania, its contribution to GDP has constantly decreased over the last 28 years, from 23.00% in 1989 to 4.37% in 2017. This phenomenon is explained by the fact that Romania’s economy past from being an economy based on an agricultural structure to one based on services. Even though the contribution of agriculture to GDP formation is declining, Romania still has the largest share of the agricultural sector in the GDP structure from all the countries of the European Union – about 3 times higher than the European average, and also the highest share of agricultural land in the total land area. These aspects show that within the member countries of the European Union, Romania is the country most dependent on agriculture, with the largest number of people involved in agriculture and with the largest share of agricultural areas in total. In this context, the paper analyzes the impact of the agricultural sector on Romania’s economic growth, between 2000-2017. The empirical analysis is based on three independent variables (agricultural production, public expenditure on agriculture and direct investment in agriculture) and one dependent variable (GDP at constant prices). The data panel consists of information provided by the NIS (National Institute of Statistics), and the data are analyzed using multiple regression.
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Andrić Gušavac, Bisera, Gordana Savić, and Milan Martić. "A ROUTE EFFICIENCY ANALYSIS BASED ON DATA ENVELOPMENT ANALYSIS: AN APPLICATION TO AGRICULTURE." In Economic and Business Trends Shaping the Future. Ss Cyril and Methodius University, Faculty of Economics-Skopje, 2020. http://dx.doi.org/10.47063/ebtsf.2020.0032.

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This study employs data envelopment analysis (DEA) approach to evaluate the performance of agricultural aircraft routes. In the context of agricultural aircraft usage, not enough attention has been paid to the efficiency study of the routes in agricultural operations. Aircraft are used in agriculture to perform various treatments on agricultural land. Presumptions in this study are that a land is divided into parcels and one type of treatment must be performed on these parcels. Also, the considered operation is performed by the agricultural aircraft and the size of the analyzed land implies that all parcels cannot be treated in one route, so there are multiple routes which have to be completed. Here, we propose application of output oriented CCR DEA model on one set of routes in order to determine relatively efficient routes. Proposed inputs for the application of the DEA method are: tank capacity of an aircraft and total cost of parcel treatment in one route. Proposed outputs are: total treated land area (total area of all parcels in route) in one route and percentage share of effective flight in the total distance traveled in one route. In this way relatively efficient routes can be selected, and some further analysis of relatively inefficient routes can be made in order to see what changes can be done in inputs and / or outputs of these inefficient routes to improve their performance.
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Apata, T., G. N’Guessan, K. Ayantoye, and O. Idowu. "Agricultural land-use systems and climate change among small Farmers in nigeria." In Decision Making Based on Data. International Association for Statistical Education, 2019. http://dx.doi.org/10.52041/srap.19301.

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In sub-Saharan-Africa (SSA), agriculture land-use supports the livelihoods of the majority of people. Land- use for agricultural-activity is an economic-activity that is highly dependent upon weather and climate that produce food and fibre necessary to sustain human life. Hence, land-use for agriculture is expected to be vulnerable to climate variability. This paper examines this relationship. The paper presents data and generated evidence-based decision making under risk and uncertainty as influenced by climate change and its effects on agricultural land-use/outputs. Farm-level cost-route survey of cross-sectional national-data of 800 respondents was used for analysis. Data were analyzed and presented using the tools of descriptive statistics, trans-logarithms model and multivariate probit model (MVP). The study indicated a strong relationship between efficient use of agricultural-land and adaptive-processes to climate-change. Thus, providing data and analysis that strengthen policy decisions on land-use and climate change. Hence, policies of promoting and motivating sustainable land-use management need to be entrenched.
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"Influencing Factors in the Success of Agricultural Crowdfunding." In 2020 International Conference on Big Data Application & Economic Management. Francis Academic Press, 2020. http://dx.doi.org/10.25236/icbdem.2020.043.

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Sulaimanova, Burulcha, and Daniyar Jasoolov. "The Gender Gap in Agricultural Productivity in Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2018. http://dx.doi.org/10.36880/c10.02039.

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More than two third of total population of Kyrgyzstan are living in rural areas, and the agricultural sector of Kyrgyzstan employs nearly the half of labor force and have export oriented output production with over than 384 thousand peasant farms. The share of employed women in agriculture compromised the 44 % of total agricultural labor force. However the low economic efficiency and competitiveness of farmers in regional market, market imperfections in agriculture impedes the economic growth of this sector. This research aims to investigate gender gap in agricultural productivity among farm entrepreneurs in Kyrgyzstan. The agricultural labor productivity gap decomposed by various types of market imperfections, and empirically estimated by “Life in Kyrgyzstan” survey data for 2013 year.
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Elawad, Elmogiera, Mohamed Agied, and Rima Charbaji El-Kassem. "Agriculture Census in Qatar (2021): Towards Sustainable Food Security." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2021. http://dx.doi.org/10.29117/quarfe.2021.0178.

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The Social and Economic Survey Research Institute (SESRI) at Qatar University is implementing the agricultural census in Qatar (2021), which is funded by the Ministry of Municipality and Environment. Agricultural census is a statistical process based on collecting, processing, and disseminating data on the structure of agriculture, which often covers the whole country or a large part of it. It usually involves collecting agricultural data such as the size of properties, land usage, cropping areas, irrigation, number of farm animals, resources, and manpower. Censuses are conducted regularly every ten years to provide more recent data for agricultural policy purposes. The data provided by the census is important for food security policies and Qatar National Vision 2030, which aims at the development and expansion of the agricultural sector. This requires the introduction of “finest practices” and an agricultural business model focused on economic efficiency, profitable and sustainable agriculture, optimal use of scarce resources, and a minimal impact on the environment. The objectives of the project are summarized as follows: • Provide sample frame for agricultural surveys. • Provide data of agriculture structure in the State of Qatar, which include properties, resources, production, and cost. • Provide up-to-date data for crops, vegetables, livestock, and used areas.
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"An Empirical Study of Policy-oriented Agricultural Insurance Diffusion Based on Social Network." In 2020 International Conference on Big Data Application & Economic Management. Francis Academic Press, 2020. http://dx.doi.org/10.25236/icbdem.2020.005.

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Kharitonova, A. E., A. V. Tikhonova, M. V. Kagirova, and A. M. Kozhemyakina. "Automation of Environmental and Economic Systems Research Using Data Mining." In International Conference on Policicies and Economics Measures for Agricultural Development (AgroDevEco 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200729.067.

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WOJEWODZIC, Tomasz, Wojciech SROKA, and Aleksandra PŁONKA. "LOCAL CONDITIONS OF PRODUCTION AND ECONOMIC DISAGRARIZATION OF FARMS." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.050.

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Evolution of agrarian systems in countries with fragmented agricultural area structure leads to a decrease in the number of farms and an increase in the area and effectiveness of entities developing their activity. It is necessary to find out the causes of disagrarization - a process that is manifested at the macroeconomic level in reduced significance of agriculture in the national economy, among other things, and reduced importance of agricultural incomes in the economy of the countryside and a part of farms at the microeconomic level - in order to effectively impact ongoing changes that often affect the whole regions. The paper is an attempt to identify the factors determining the intensity of the process of the production and economic disagrarization of farms in Lesser Poland Voivodeship. Calculation procedures performed using the zero unitarization method and Data Mining tools enabled assessment of the intensity of the phenomenon analysed in the different territorial units (gminas), and identification of factors that have the biggest impact on its intensity. Using the process of modelling by the C&amp;amp;RT method it has been found out that the characteristics that describe the agrarian structure historically, i.e. intensity of the organisation of agriculture, fragmentation of the agrarian structure, had a big impact on differentiation of gminas in terms of the intensity of disagrarization. High intensity of the organisation of agriculture combined with good environmental conditions is conducive to the retention of production functions of agriculture in a given area. With low intensity of the organisation of agriculture and very large fragmentation of the agrarian structure, the intensity of disagrarization was very often determined by characteristics typical of periurban areas or tourist attractions, i.e. increase in population density and increase in the number of residential buildings. Urban development of a given territorial unit stimulated processes of exiting agriculture.
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Liu, Jiacheng. "Empower the Operation of Agricultural Insurance Companies with Big Data Technology." In 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/aebmr.k.220307.154.

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Reports on the topic "Agricultural Economic Data"

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Abay, Kibrom A., Fadi Abdelradi, Yumna Kassim, and Zhe Guo. Remote sensing data for monitoring agricultural production and economic activity: Application in Egypt. Washington, DC: International Food Policy Research Institute, 2022. http://dx.doi.org/10.2499/p15738coll2.135067.

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Abay, Kibrom A., Fadi Abdelradi, Yumna Kassim, and Zhe Guo. Remote sensing data for monitoring agricultural production and economic activity: Application in Egypt in Arabic. Washington, DC: International Food Policy Research Institute, 2022. http://dx.doi.org/10.2499/p15738coll2.135068.

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Melius, C. Developing Poultry Facility Type Information from USDA Agricultural Census Data for Use in Epidemiological and Economic Models. Office of Scientific and Technical Information (OSTI), December 2007. http://dx.doi.org/10.2172/926044.

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Melius, C., A. Robertson, and P. Hullinger. Developing Livestock Facility Type Information from USDA Agricultural Census Data for Use in Epidemiological and Economic Models. Office of Scientific and Technical Information (OSTI), October 2006. http://dx.doi.org/10.2172/1036849.

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Malek, Mohammad Abdul, Aiko Kikkawa, Yasuyuki Sawada, and Abdul Kalam Azad. Rural Development in Bangladesh Over Four Decades: Findings from Mahabub Hossain Panel Data and the Way Forward. Asian Development Bank Institute, December 2022. http://dx.doi.org/10.56506/ppxg8315.

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The Mahabub Hossain Panel Data (MHPD) was initiated in 1988 and maintained by and named after the late Mahabub Hossain, a well-known agricultural and development economist who led a number of reputed organizations in Bangladesh (Bangladesh Institute of Development Studies and BRAC) and in the region (International Rice Research Institute). We portray the historical context, sampling evolution, survey structure and methodology, and academic and policy contributions of the MHPD with some lessons learned for the next step forward. The MHPD has tracked rural households for a period of over 3 decades (1988–2014) with five waves of household surveys covering over 2,800 households and has collected a wide range of information on household composition, schooling of household members, assets, cropping intensity and patterns including cost and return, employment and income, consumption, participation in different government and nongovernment programs. We reviewed several books and journal articles authored by Mahabub Hossain and related academic papers and documents and collated information on MHPD, including (i) mapping out information on past and ongoing panel or cross-sectional household survey data series in Bangladesh; (ii) undertaking the review of all past rounds of MHPD survey documents, such as survey implementation plans, questionnaires, codebooks, databases, and processed data; (iii) consulting relevant stakeholders, including the past implementers of the surveys and the users of the data as needed to validate documented information; (iv) taking stock of the contribution of MHPD to academic literature and policy development; and (v) drawing a number of lessons learned for future data collection and policy making. The report aims to (i) serve as a comprehensive reference document for scholars and policy makers who wish to understand MHPD for possible use in their research; and (ii) provide a comprehensive baseline from which we can consider ways to enhance MHPD further to continue contributing to understanding the economic and social issues of today and near future. By compiling all associated research work based on MHPD, we offer a historical landscape of Bangladesh’s social and economic development and a credible explanation for the Bangladesh development model for global comparison.
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Matenga, Chrispin, and Munguzwe Hichaambwa. A Multi-Phase Assessment of the Effects of COVID-19 on Food Systems and Rural Livelihoods in Zambia. Institute of Development Studies (IDS), December 2021. http://dx.doi.org/10.19088/apra.2021.039.

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COVID-19 was declared a pandemic by the World Health Organization in March 2020. The speed with which the pandemic spread geographically, and the high rate of mortality of its victims prompted many countries around the world to institute ‘lockdowns’ of various sorts to contain it. While the global concern in the early months following the emergence of COVID-19 was with health impacts, the ‘lockdown’ measures put in place by governments triggered global socioeconomic shocks as economies entered recessions due to disruption of economic activity that the ‘lockdown’ measures entailed. Data suggests that the socioeconomic shocks arising from ‘lockdowns’ have been more severe in sub-Saharan Africa countries, generating dire livelihood consequences for most citizens who depend on the informal economy for survival. In Zambia, the effects of COVID-19 combined with a severe drought, and a decline in mining activity to contribute to a downward spiral in Zambia’s economy. This report aims to gain real-time insights into how the COVID-19 crisis was unfolding in Zambia and how rural people and food and livelihood systems were responding. The study focused on documenting and understanding the differential impacts of the pandemic at the household level in terms of changes in participation in farming activities, availability of services for agricultural production, labour and employment, marketing and transport services, food and nutrition security and poverty and wellbeing.
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Kholoshyn, Ihor, Svitlana Mantulenko, Accola Sharon Joyce, Daniel Sherick, Talgat Uvaliev, and Victoria Vedmitska. Geography of agricultural exports from Ukraine. EDP Sciences, June 2021. http://dx.doi.org/10.31812/123456789/4618.

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Based on the generalization and systematization of scientific and accounting data, the article considers agriculture as one of the leading sectors of the Ukrainian economy, providing 50% of foreign exchange earnings from exports of all goods from the country. The structure and geography of agricultural exports from Ukraine are analyzed. The existing export potential of the studied sector of the national economy and the level of self-sufficiency of Ukraine in agri-food products are revealed. Four specialization types of agricultural exports from Ukrainian regions are established: areas with dominance in export of animal origin products; areas with a dominance in the export of plant products; areas with a predominance in the export of animal or vegetable origin fats and oils; area, with mixed export specialization. Recommendations for the re-profiling of agricultural production in a number of the country’s regions in order to increase exports of this product type.
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Kholoshyn, Ihor, Svitlana Mantulenko, Accola Sharon Joyce, Daniel Sherick, Talgat Uvaliev, and Victoria Vedmitska. Geography of agricultural exports from Ukraine. EDP Sciences, June 2021. http://dx.doi.org/10.31812/123456789/4618.

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Based on the generalization and systematization of scientific and accounting data, the article considers agriculture as one of the leading sectors of the Ukrainian economy, providing 50% of foreign exchange earnings from exports of all goods from the country. The structure and geography of agricultural exports from Ukraine are analyzed. The existing export potential of the studied sector of the national economy and the level of self-sufficiency of Ukraine in agri-food products are revealed. Four specialization types of agricultural exports from Ukrainian regions are established: areas with dominance in export of animal origin products; areas with a dominance in the export of plant products; areas with a predominance in the export of animal or vegetable origin fats and oils; area, with mixed export specialization. Recommendations for the re-profiling of agricultural production in a number of the country’s regions in order to increase exports of this product type.
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Bolton, Laura. The Economic Impact of COVID-19 in Colombia. Institute of Development Studies (IDS), February 2021. http://dx.doi.org/10.19088/k4d.2021.073.

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Available data provide a picture for the macro-economy of Colombia, agriculture, and infrastructure. Recent data on trends on public procurement were difficult to find within the scope of this rapid review. In 2020, macro-level employment figures show a large drop between February and April when COVID-19 lockdown measures were first introduced, followed by a gradual upward trend. In December 2020, the employment rate was 4.09 percentage points lower than the employment rate in December 2019. Macro-level figures from the National Administrative Department of Statistics (DANE) show that a higher percentage of men experienced job losses than women in November 2020. However, the evidence presented by the Universidad Nacional de Colombia based on the DANE great integrated house survey shows that a higher proportion of all jobs lost were lost by women in the second quarter. It may be that the imbalance shifted over time, but it is not possible to directly compare the data. Evidence suggests that women were disproportionately more burdened by home activities due to the closure of schools and childcare. There is also a suggestion that women who have lost out where jobs able to function during lockdowns with technology are more likely to be held by men. Literature also shows that women have lower levels of technology literacy. There is a lack of reliable data for understanding the economic impacts of COVID-19 for people living with disabilities. A report on the COVID-19 response and disability for the Latin America region recommends improving collaboration between policymakers and non-governmental organisations. Younger people experienced greater job losses. Data for November 2020 show 3.3 percent of the population aged under 25 lost their job compared to 1.8 percent of those employed between 24 and 54. Agriculture, livestock, and fishing increased by 2.8% in 2020 compared to 2019. And the sector as a whole grew 3.4% between the third and fourth quarters of 2020. In terms of sector differences, construction was harder hit by the initial mobility restrictions than agriculture. Construction contracted by 30.5% in the second quarter of 2020. It is making a relatively healthy recovery with reports that 84% of projects being reactivated following return to work. The President of the Colombian Chamber of Construction predicting an 8.4% growth in the construction of housing and other buildings in 2021.
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Solovyanenko, Nina I. Legal features of innovative (digital) entrepreneurship in the agricultural and food sector. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70008.

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Modern agricultural production and food trade are involved in the process of digital transformation, which is a cardinal factor of sustainable development and is carried out on the basis of IT platforms, the Internet of Things, cloud computing, big data, artificial intelligence, blockchain technologies. The COVID-19 pandemic has increased the dependence of these sectors of the economy on information and communication technology infrastructure and services. At the same time, the slow updating of legislation, which lags behind the constantly improving digital technologies, not only hinders their implementation, but also is a source of a number of social and legal problems. A modern regulatory framework based on digital strategies should strengthen "smart agriculture". In Russia, the legal mechanism of digital transformation and development of the national platform "Digital Agriculture" should be supported by updated basic legislation.
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