The Kien Nguyen, Nguyen Thi Minh Khue, Quang Phu Tran, Nguyen Thi Quynh Anh, Le Khanh Cuong, Nguyen Chu Du, Chu Viet Cuong, Vũ Thị Thương, Dang Hoang Anh, Nguyen Anh Vu
The development of a circular economy in agricultural production has become a trend for many countries, especially as global natural resources worldwide are increasingly depleting. Therefore, the economic model transition to address the challenge of balancing economic growth and environmental protection, in general, and the plan for agricultural production development, in particular, is highly necessary. In this study, the authors examine the factors influencing the level of circular economy application in agriculture in Vietnam. The research employs a survey method using questionnaires to collect data from individuals and households engaged in the agriculture sector in Vietnam. Out of the 500 distributed questionnaires, 421 valid responses were collected. The influencing factors will be measured using a Likert scale, and to assess their reliability, the authors used Cronbach’s Alpha and inter-item correlation coefficients. To test the research hypotheses, the Structural Equation Modeling (SEM) method is utilized. The results reveal that among the factors included in the principal component analysis, financial factors have the strongest influence, followed by technological application, awareness, production scale, and finally, government policies. In summary, this study sheds light on the importance of various factors influencing the adoption of circular economy practices in agriculture. It can provide valuable information to policymakers, enabling them to make informed macro and micro-level decisions aimed at increasing the proportion of businesses applying circular economy principles in agricultural production.
{"title":"Examining the Factors Influencing the Level of Circular Economy Adoption in Agriculture: Insights from Vietnam","authors":"The Kien Nguyen, Nguyen Thi Minh Khue, Quang Phu Tran, Nguyen Thi Quynh Anh, Le Khanh Cuong, Nguyen Chu Du, Chu Viet Cuong, Vũ Thị Thương, Dang Hoang Anh, Nguyen Anh Vu","doi":"10.36956/rwae.v5i1.992","DOIUrl":"https://doi.org/10.36956/rwae.v5i1.992","url":null,"abstract":"The development of a circular economy in agricultural production has become a trend for many countries, especially as global natural resources worldwide are increasingly depleting. Therefore, the economic model transition to address the challenge of balancing economic growth and environmental protection, in general, and the plan for agricultural production development, in particular, is highly necessary. In this study, the authors examine the factors influencing the level of circular economy application in agriculture in Vietnam. The research employs a survey method using questionnaires to collect data from individuals and households engaged in the agriculture sector in Vietnam. Out of the 500 distributed questionnaires, 421 valid responses were collected. The influencing factors will be measured using a Likert scale, and to assess their reliability, the authors used Cronbach’s Alpha and inter-item correlation coefficients. To test the research hypotheses, the Structural Equation Modeling (SEM) method is utilized. The results reveal that among the factors included in the principal component analysis, financial factors have the strongest influence, followed by technological application, awareness, production scale, and finally, government policies. In summary, this study sheds light on the importance of various factors influencing the adoption of circular economy practices in agriculture. It can provide valuable information to policymakers, enabling them to make informed macro and micro-level decisions aimed at increasing the proportion of businesses applying circular economy principles in agricultural production.","PeriodicalId":222396,"journal":{"name":"Research on World Agricultural Economy","volume":"78 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140366560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A major component of contemporary agriculture is machinery. Nonetheless, in Kenya and other African nations, the rate of adoption of agricultural machinery remains quite low. Understanding the fundamental causes and their impacts on agricultural output is crucial. Using data collected from a household survey of 1,499 farmers in Western Kenya, this study employed the endogenous switching regression model to examine the use of chisel harrows and their effects on maize production. Results show that the adoption of the chisel harrow was positively impacted by factors such as farm size, credit accessibility, gender, extension contact, and education attainment, while factors such as age and market proximity had a negative impact. The yield per hectare was higher for adopters than for non-adopters. According to the counterfactual analysis results, those who utilized chisel harrow tools were able to achieve a higher yield (1512 kg/ha) than they would have if they had not used the equipment (1099 kg/ha). The average maize yield per hectare increased by 413 kg and 217 kg for adopters and non-adopters, respectively, when chisel harrows were used. It is concluded that while training and field demonstrations may also be held to increase farmers’ understanding of the benefits of the chisel harrow, encouraging farmers to adopt the tool has the potential to improve low production in the surveyed regions.
{"title":"Machinery Adoption and Its Effect on Maize Productivity among Smallholder Farmers in Western Kenya: Evidence from the Chisel Harrow Tillage Practice","authors":"Edwin Mumah, Yangfen Chen, Yu Hong, D. Okello","doi":"10.36956/rwae.v5i1.983","DOIUrl":"https://doi.org/10.36956/rwae.v5i1.983","url":null,"abstract":"A major component of contemporary agriculture is machinery. Nonetheless, in Kenya and other African nations, the rate of adoption of agricultural machinery remains quite low. Understanding the fundamental causes and their impacts on agricultural output is crucial. Using data collected from a household survey of 1,499 farmers in Western Kenya, this study employed the endogenous switching regression model to examine the use of chisel harrows and their effects on maize production. Results show that the adoption of the chisel harrow was positively impacted by factors such as farm size, credit accessibility, gender, extension contact, and education attainment, while factors such as age and market proximity had a negative impact. The yield per hectare was higher for adopters than for non-adopters. According to the counterfactual analysis results, those who utilized chisel harrow tools were able to achieve a higher yield (1512 kg/ha) than they would have if they had not used the equipment (1099 kg/ha). The average maize yield per hectare increased by 413 kg and 217 kg for adopters and non-adopters, respectively, when chisel harrows were used. It is concluded that while training and field demonstrations may also be held to increase farmers’ understanding of the benefits of the chisel harrow, encouraging farmers to adopt the tool has the potential to improve low production in the surveyed regions.","PeriodicalId":222396,"journal":{"name":"Research on World Agricultural Economy","volume":"45 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140510192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bayarbat Badarch, Michael P. Popp, Aurelie M. Poncet, Shelby T. Rider, N. Slaton
Determining the number of samples to collect in a field to develop soil-test K (STK) maps that are sufficiently accurate for profit-maximizing fertilizer rate prescription maps is complex. The decision also hinges on the application method—variable rate or uniform rate (VRT vs. URT). Using a 400 m2 fishnet grid on a 26.3-ha irrigated soybean field, the authors compared sampling densities ranging from 5 to 60 samples or 5.3 ha/sample to 0.40 ha/sample. Subsequently, the authors simulated yields based on STK maps generated with that range of samples taken to generate i) associated profit-maximizing fertilizer-K rates (K*) that varied by grid with VRT, or ii) a single fertilizer rate based on field-average STK with URT, to compare revenue less fertilizer cost (NR) across VRT, URT, and sampling strategy. With more information, NR increased at a diminishing rate as crop needs could be better matched to fertilizer needs with greater detail in STK maps with VRT. Also, fertilizer use with URT was higher than VRT given the field-specific distribution of STK. Regardless of the sampling strategy, NR was higher for VRT than URT, however, that benefit was smaller than the upcharges for VRT equipment. Marginal benefits from added soil sampling were smaller than their marginal cost leading to an optimal least-cost, 5-sample strategy and URT. Changing one of the 5 sampling locations, however, revealed unreliable field average STK estimates. Since soil samples inform about several macronutrients, splitting soil sampling charges across K and P profitably justified sampling near every 1.5 ha with URT.
{"title":"Determining Economic Optimum Soil Sampling Density for Potassium Fertilizer Management in Soybean: A Case Study in the U.S. Mid-South","authors":"Bayarbat Badarch, Michael P. Popp, Aurelie M. Poncet, Shelby T. Rider, N. Slaton","doi":"10.36956/rwae.v4i4.985","DOIUrl":"https://doi.org/10.36956/rwae.v4i4.985","url":null,"abstract":"Determining the number of samples to collect in a field to develop soil-test K (STK) maps that are sufficiently accurate for profit-maximizing fertilizer rate prescription maps is complex. The decision also hinges on the application method—variable rate or uniform rate (VRT vs. URT). Using a 400 m2 fishnet grid on a 26.3-ha irrigated soybean field, the authors compared sampling densities ranging from 5 to 60 samples or 5.3 ha/sample to 0.40 ha/sample. Subsequently, the authors simulated yields based on STK maps generated with that range of samples taken to generate i) associated profit-maximizing fertilizer-K rates (K*) that varied by grid with VRT, or ii) a single fertilizer rate based on field-average STK with URT, to compare revenue less fertilizer cost (NR) across VRT, URT, and sampling strategy. With more information, NR increased at a diminishing rate as crop needs could be better matched to fertilizer needs with greater detail in STK maps with VRT. Also, fertilizer use with URT was higher than VRT given the field-specific distribution of STK. Regardless of the sampling strategy, NR was higher for VRT than URT, however, that benefit was smaller than the upcharges for VRT equipment. Marginal benefits from added soil sampling were smaller than their marginal cost leading to an optimal least-cost, 5-sample strategy and URT. Changing one of the 5 sampling locations, however, revealed unreliable field average STK estimates. Since soil samples inform about several macronutrients, splitting soil sampling charges across K and P profitably justified sampling near every 1.5 ha with URT.","PeriodicalId":222396,"journal":{"name":"Research on World Agricultural Economy","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139142790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The increase of elderly workers in the agricultural sector will decrease productivity using traditional agriculture production which causes the reduction of income. The Young Smart Farmer program is one of the solutions to solve the problem by developing new generation farmers’ agricultural abilities replacing elderly farmers and creating incentives for the new generation to turn to agricultural occupation. Thus, this paper principally assessed the impact of the participation of young farmers in the YSF program on farm income and the determinants of the YSF program factor of young farmer’s participation in the YSF program. The total number of samplings is 340 comprising 210 participants and 130 non-participants in the YSF program of the northeast area of Thailand. The data were analyzed using descriptive statistics and the propensity score matching approach to estimate the treatment effect of YSF participation on farm income among smallholder farmers. The results presented that the participants were younger with higher education, more experience and technology support, and had higher farm income compared to non-participants. The propensity scores matching results revealed a significant effect between farmer participation and farm income. The increase in farmers’ income from the participation of young smart farmers was estimated to be approximately 6758.59 $/year compared to non-participants of 3066.63 $/year. To encourage young people to participate more in the YSM program the government should provide more support that can stimulate the young farmers’ farming economic activities to improve their quality of living and be fully satisfied with their livelihood. Also, the government should encourage a strong network within the group which consequently increases knowledge sharing, technology, and agricultural activities from the production process to marketing.
{"title":"Impact of Participation in Young Smart Farmer Program on Smallholder Farmers’ Income: A Propensity Score Matching Analysis","authors":"S. Poungchompu, Porntip Phuttachat","doi":"10.36956/rwae.v4i4.916","DOIUrl":"https://doi.org/10.36956/rwae.v4i4.916","url":null,"abstract":"The increase of elderly workers in the agricultural sector will decrease productivity using traditional agriculture production which causes the reduction of income. The Young Smart Farmer program is one of the solutions to solve the problem by developing new generation farmers’ agricultural abilities replacing elderly farmers and creating incentives for the new generation to turn to agricultural occupation. Thus, this paper principally assessed the impact of the participation of young farmers in the YSF program on farm income and the determinants of the YSF program factor of young farmer’s participation in the YSF program. The total number of samplings is 340 comprising 210 participants and 130 non-participants in the YSF program of the northeast area of Thailand. The data were analyzed using descriptive statistics and the propensity score matching approach to estimate the treatment effect of YSF participation on farm income among smallholder farmers. The results presented that the participants were younger with higher education, more experience and technology support, and had higher farm income compared to non-participants. The propensity scores matching results revealed a significant effect between farmer participation and farm income. The increase in farmers’ income from the participation of young smart farmers was estimated to be approximately 6758.59 $/year compared to non-participants of 3066.63 $/year. To encourage young people to participate more in the YSM program the government should provide more support that can stimulate the young farmers’ farming economic activities to improve their quality of living and be fully satisfied with their livelihood. Also, the government should encourage a strong network within the group which consequently increases knowledge sharing, technology, and agricultural activities from the production process to marketing.","PeriodicalId":222396,"journal":{"name":"Research on World Agricultural Economy","volume":"61 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138587224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A shift from a linear economy to a circular economy can help participants (i.e., enterprises and households) to cut expenses, stabilize supply chains for the long term, and lower manufacturing and operating costs. Although the circular economy can benefit both the economy and the environment, this topic has still been under-studied in developing countries. More specifically, there has been little known about conditions and/or barriers for stakeholders in adopting a circular economy. In this regard, the authors conducted a study among Vietnamese households to improve the understanding of the factors (both drivers and impediments) of a circular economy adoption. Specifically, the authors employed a questionnaire-based survey approach to collect data from 473 households operating in the agricultural sector in the Red River Delta, Vietnam. The PLS-SEM method was performed to unravel the complicated relationship between circular economy adoption, organizational innovation, and income of agricultural households. The results showed that the adoption of circular economy is widely influenced by many factors in Vietnam. For example, technology has a negative impact on the level of circular economy adoption while policy and regulation, management, customer, and society have the opposite effect. Furthermore, organizational innovation played a fully mediating role between circular economy adoption and households’ income. The results of the study offer many policy implications for supporting and increasing the households’ circular economy adoption for further sustainable development in Vietnam and beyond.
{"title":"Understanding Factors of Households' Circular Economy Adoption to Facilitate Sustainable Development in an Emerging Country","authors":"Quang Phu Tran, The Kien Nguyen, Manh Cuong Dong","doi":"10.36956/rwae.v4i4.911","DOIUrl":"https://doi.org/10.36956/rwae.v4i4.911","url":null,"abstract":"A shift from a linear economy to a circular economy can help participants (i.e., enterprises and households) to cut expenses, stabilize supply chains for the long term, and lower manufacturing and operating costs. Although the circular economy can benefit both the economy and the environment, this topic has still been under-studied in developing countries. More specifically, there has been little known about conditions and/or barriers for stakeholders in adopting a circular economy. In this regard, the authors conducted a study among Vietnamese households to improve the understanding of the factors (both drivers and impediments) of a circular economy adoption. Specifically, the authors employed a questionnaire-based survey approach to collect data from 473 households operating in the agricultural sector in the Red River Delta, Vietnam. The PLS-SEM method was performed to unravel the complicated relationship between circular economy adoption, organizational innovation, and income of agricultural households. The results showed that the adoption of circular economy is widely influenced by many factors in Vietnam. For example, technology has a negative impact on the level of circular economy adoption while policy and regulation, management, customer, and society have the opposite effect. Furthermore, organizational innovation played a fully mediating role between circular economy adoption and households’ income. The results of the study offer many policy implications for supporting and increasing the households’ circular economy adoption for further sustainable development in Vietnam and beyond.","PeriodicalId":222396,"journal":{"name":"Research on World Agricultural Economy","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139199196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the context of agribusiness, technology and innovation have led to major transformations in many countries. Precision dairy farming technologies enable cost optimization, quality control, waste reduction, achieving economies of scale, efficiency in dairy resource utilization, improvement in productivity, standardized processes, enhanced decision support system and overall farm management. Despite being an overall production-wise rich country, India’s dairy sector lacks in terms of yield per cattle, overall dairy farm output, effective herd management and lack of effective technology acceptance and implementation. With the help of NGT based outcome, this research is an attempt to showcase the enablers of technology adoption in dairy farming and how these enablers interact with each other in a hierarchical form using ISM methodology. Experience in the dairy business, competitive pressure and digital literacy were found as the most crucial and driving enablers. However, agreeableness and managerial interest were found as the most dependent enablers of technology adoption. The interpretations drawn from the model can help the decision makers, policy makers and farmers not only in India but can serve as the base for other nations dependent upon agriculture to understand the inter dependency among enablers and suggestions to plan and channel technology adoption by focusing upon critical ones.
在农业综合企业方面，技术和创新在许多国家带来了重大变革。精准奶牛养殖技术能够优化成本、控制质量、减少浪费、实现规模经济、提高奶牛资源利用效率、提高生产率、实现标准化流程、增强决策支持系统和整体牧场管理。尽管印度是一个总体产量丰富的国家，但其奶业在每头牛的产量、奶牛场的总体产出、有效的牛群管理以及缺乏有效的技术接受和实施方面都存在不足。在基于 NGT 结果的帮助下，本研究试图利用 ISM 方法展示奶牛场采用技术的有利因素，以及这些有利因素如何以分层的形式相互影响。研究发现，奶牛场经营经验、竞争压力和数字素养是最关键的推动因素。然而，合意度和管理兴趣被认为是技术采用的最大依赖性促进因素。从模型中得出的解释不仅可以帮助印度的决策者、政策制定者和农民，还可以作为其他依赖农业的国家的基础，帮助他们了解各种促进因素之间的相互依赖关系，并提出建议，通过关注关键因素来规划和引导技术的采用。
{"title":"Examining the Linkages of Technology Adoption Enablers in Context of Dairy Farming Using ISM-MICMAC Approach","authors":"H. Kaushik, Rohit Rajwanshi","doi":"10.36956/rwae.v4i4.887","DOIUrl":"https://doi.org/10.36956/rwae.v4i4.887","url":null,"abstract":"In the context of agribusiness, technology and innovation have led to major transformations in many countries. Precision dairy farming technologies enable cost optimization, quality control, waste reduction, achieving economies of scale, efficiency in dairy resource utilization, improvement in productivity, standardized processes, enhanced decision support system and overall farm management. Despite being an overall production-wise rich country, India’s dairy sector lacks in terms of yield per cattle, overall dairy farm output, effective herd management and lack of effective technology acceptance and implementation. With the help of NGT based outcome, this research is an attempt to showcase the enablers of technology adoption in dairy farming and how these enablers interact with each other in a hierarchical form using ISM methodology. Experience in the dairy business, competitive pressure and digital literacy were found as the most crucial and driving enablers. However, agreeableness and managerial interest were found as the most dependent enablers of technology adoption. The interpretations drawn from the model can help the decision makers, policy makers and farmers not only in India but can serve as the base for other nations dependent upon agriculture to understand the inter dependency among enablers and suggestions to plan and channel technology adoption by focusing upon critical ones.","PeriodicalId":222396,"journal":{"name":"Research on World Agricultural Economy","volume":"114 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Onion is an important cash crop that could enhance the income of agro-pastoralists in Nyangatom woreda as the area has huge potential for water availability from the Omo River and fertile land. However, access to improved onion variety is limited in the area. Thus, this study aimed to demonstrate the improved onion variety with its agronomic management in the production season. Onion growers were purposely selected and have taken training on onion production by using recommended doses of fertilizers, pesticides, irrigation, and suitable agronomic practices. Each agro-pastoralist covered 0.064 hectares of land by improved onion. The recorded data from the field experiment and agro-pastoral perceptions were analyzed through simple descriptive and preference ranking tools. From the result of the demonstration trial, the mean bulb yield of the improved onion (Nafis variety) was 125 qt/ha. The average return obtained from the sale of onion bulbs per hectare was 334,925 Ethiopian birr. Moreover, the benefit-to-cost ratio of improved onion production was 8.34:1, which indicates the benefits outweigh the costs, suggesting a positive return on improved onion production in the area. The agro-pastoralist’s preference further showed that the Nafis variety was the best one or superior to the local variety in terms of its high-yielding ability, dark green leaf color, medium bulb size, and market preference. Therefore, the authors suggest the respective government and non-government bodies to further promote improved onion in the area.
{"title":"Promotion of Improved Onion (Nafis Variety) Production Technology under Irrigated Conditions in Nyangatom District, Low Land Area of South Omo Zone","authors":"Awoke Tadesse, Asmera Adicha, Atlaw Eshibel, Yibrah Geberemeskel, Anteneh Tadesse","doi":"10.36956/rwae.v4i4.898","DOIUrl":"https://doi.org/10.36956/rwae.v4i4.898","url":null,"abstract":"Onion is an important cash crop that could enhance the income of agro-pastoralists in Nyangatom woreda as the area has huge potential for water availability from the Omo River and fertile land. However, access to improved onion variety is limited in the area. Thus, this study aimed to demonstrate the improved onion variety with its agronomic management in the production season. Onion growers were purposely selected and have taken training on onion production by using recommended doses of fertilizers, pesticides, irrigation, and suitable agronomic practices. Each agro-pastoralist covered 0.064 hectares of land by improved onion. The recorded data from the field experiment and agro-pastoral perceptions were analyzed through simple descriptive and preference ranking tools. From the result of the demonstration trial, the mean bulb yield of the improved onion (Nafis variety) was 125 qt/ha. The average return obtained from the sale of onion bulbs per hectare was 334,925 Ethiopian birr. Moreover, the benefit-to-cost ratio of improved onion production was 8.34:1, which indicates the benefits outweigh the costs, suggesting a positive return on improved onion production in the area. The agro-pastoralist’s preference further showed that the Nafis variety was the best one or superior to the local variety in terms of its high-yielding ability, dark green leaf color, medium bulb size, and market preference. Therefore, the authors suggest the respective government and non-government bodies to further promote improved onion in the area.","PeriodicalId":222396,"journal":{"name":"Research on World Agricultural Economy","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139268344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The research presents the results carried out on Sicilian viticulture in order to study the economic sustainability of the agricultural company. In particular, the author examined the operation of dry pruning and tying of the fruiting head in espalier vineyards with tools that facilitate the work. The economic analysis highlights that equipping yourself with mechanical tools that facilitate work is convenient for both large and small wineries. The results of the research highlight that the investment to facilitate pruning and tying in Guyot-trained vineyards can also be made by wine-growing companies and is increasingly convenient as the area under vines involved increases.
{"title":"Technical and Economic Efficiency of Vine Pruning: Results of Experimental Trials of Some Cultivars of Grapevine Grown in Sicily and Determination of Break-even Point","authors":"Filippo Sgroi, Federico Modica","doi":"10.36956/rwae.v4i4.931","DOIUrl":"https://doi.org/10.36956/rwae.v4i4.931","url":null,"abstract":"The research presents the results carried out on Sicilian viticulture in order to study the economic sustainability of the agricultural company. In particular, the author examined the operation of dry pruning and tying of the fruiting head in espalier vineyards with tools that facilitate the work. The economic analysis highlights that equipping yourself with mechanical tools that facilitate work is convenient for both large and small wineries. The results of the research highlight that the investment to facilitate pruning and tying in Guyot-trained vineyards can also be made by wine-growing companies and is increasingly convenient as the area under vines involved increases.","PeriodicalId":222396,"journal":{"name":"Research on World Agricultural Economy","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134991955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study analyzed land use and land cover (LULC) change from 1998 to 2018 in Battambang, Cambodia, and determined factors and constraints affecting agricultural production. Landsat satellite images in 1998, 2008, and 2018 were used to identify the changes in LULC. In combination, a social survey was conducted in August 2021 using purposive sampling, selecting a total sample of 200 from two wealth classes: the poor (65) and the better off (135) based on the Cambodia poverty assessment by the World Bank, from uplands to lowlands of Battambang Province, Cambodia. Household characteristics, farm size, and constraints were compared between the classes. T-tests, the analysis of variance (ANOVA), and Likert scale analysis were adopted using the R Program and RStudio, while Pearson's correlation test was used to determine the factors affecting agricultural land. The results show that between 1998 and 2018, the forest cover decreased by 79%. In contrast, agricultural land expansion was the highest (54%). The average household size and age of the respondents were 5.0 persons/household and 50.1 years, respectively. Of all the interviewees, about 80% attended no higher than primary school. The total farm size of the better-off (7.0 ha/household) was larger than that of the poor (5.2 ha/household). The population growth, machinery use, and improved infrastructure were found to be positive and strongly related to agricultural land use. The highest constraints of the poor and the better-off households were the same: chemical fertilizer use. Then, drought and flooding were also challenges for all. In terms of land, credit, and labor, they were not the main constraints. Thus, it is recommended that the involvement of interdisciplinary stakeholders and policy frameworks is really important from both biophysical and social perspectives.
{"title":"Assessing Land Use and Land Cover (LULC) Change and Factors Affecting Agricultural Land: Case Study in Battambang Province, Cambodia","authors":"Taingaung Sourn, Sophak Pok, Phanith Chou, Nareth Nut, Dyna Theng, Lyhour Hin","doi":"10.36956/rwae.v4i4.925","DOIUrl":"https://doi.org/10.36956/rwae.v4i4.925","url":null,"abstract":"This study analyzed land use and land cover (LULC) change from 1998 to 2018 in Battambang, Cambodia, and determined factors and constraints affecting agricultural production. Landsat satellite images in 1998, 2008, and 2018 were used to identify the changes in LULC. In combination, a social survey was conducted in August 2021 using purposive sampling, selecting a total sample of 200 from two wealth classes: the poor (65) and the better off (135) based on the Cambodia poverty assessment by the World Bank, from uplands to lowlands of Battambang Province, Cambodia. Household characteristics, farm size, and constraints were compared between the classes. T-tests, the analysis of variance (ANOVA), and Likert scale analysis were adopted using the R Program and RStudio, while Pearson's correlation test was used to determine the factors affecting agricultural land. The results show that between 1998 and 2018, the forest cover decreased by 79%. In contrast, agricultural land expansion was the highest (54%). The average household size and age of the respondents were 5.0 persons/household and 50.1 years, respectively. Of all the interviewees, about 80% attended no higher than primary school. The total farm size of the better-off (7.0 ha/household) was larger than that of the poor (5.2 ha/household). The population growth, machinery use, and improved infrastructure were found to be positive and strongly related to agricultural land use. The highest constraints of the poor and the better-off households were the same: chemical fertilizer use. Then, drought and flooding were also challenges for all. In terms of land, credit, and labor, they were not the main constraints. Thus, it is recommended that the involvement of interdisciplinary stakeholders and policy frameworks is really important from both biophysical and social perspectives.","PeriodicalId":222396,"journal":{"name":"Research on World Agricultural Economy","volume":"86 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135868992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Garlic is a well-known spice in India, and Rajasthan is the country's second-largest producer of garlic after Madhya Pradesh. Accurate price predictions are crucial for agricultural commodities, as they significantly impact the accessibility of food for consumers and the livelihoods of farmers, governments, and agribusiness industries. Governments also use these forecasts to support the agricultural sector and ensure food security. A study was conducted in Rajasthan's Kota district to analyze the wholesale price of garlic using data from July 2021 to July 2023 from the Kota fruit and vegetable market. The study used simple moving average (SMA), simple exponential smoothing (SES), and autoregressive integrated moving average (ARIMA) models to forecast garlic prices. The models were validated through mean absolute deviation (MAD), mean squared error (MSE), mean absolute percentage error (MAPE), root mean squared error (RMSE), correlation coefficient (r), and coefficient of variation (CV). The research was conducted utilizing Microsoft Excel and R Studio version 4.2.2 for Windows, and the results showed that the ARIMA (1,0,0) with a non-zero mean model had a strong correlation coefficient (r = 0.91**) and accurately predicted the variation in garlic prices. Based on the analysis, it is recommended to use this model for forecasting and making informed decisions.
大蒜在印度是一种著名的香料，拉贾斯坦邦是印度第二大大蒜生产国，仅次于中央邦。准确的价格预测对农产品至关重要，因为这将对消费者获得粮食以及农民、政府和农业综合企业的生计产生重大影响。各国政府还利用这些预测来支持农业部门和确保粮食安全。在拉贾斯坦邦的哥打地区进行了一项研究，利用2021年7月至2023年7月哥打水果和蔬菜市场的数据分析了大蒜的批发价格。采用简单移动平均(SMA)、简单指数平滑(SES)和自回归综合移动平均(ARIMA)模型对大蒜价格进行预测。通过平均绝对偏差(MAD)、均方误差(MSE)、平均绝对百分比误差(MAPE)、均方根误差(RMSE)、相关系数(r)和变异系数(CV)对模型进行验证。利用Microsoft Excel和Windows版本的R Studio 4.2.2进行研究，结果表明，采用非零均值模型的ARIMA(1,0,0)具有较强的相关系数(R = 0.91**)，能够准确预测大蒜价格的变化。根据分析，建议使用该模型进行预测和做出明智的决策。
{"title":"Comparative Analysis of Price Forecasting Models for Garlic (Allium sativum L.) in Kota District of Rajasthan, India","authors":"Surjeet Singh Dhaka, None Urmila, Dharavath Poolsingh","doi":"10.36956/rwae.v4i4.915","DOIUrl":"https://doi.org/10.36956/rwae.v4i4.915","url":null,"abstract":"Garlic is a well-known spice in India, and Rajasthan is the country's second-largest producer of garlic after Madhya Pradesh. Accurate price predictions are crucial for agricultural commodities, as they significantly impact the accessibility of food for consumers and the livelihoods of farmers, governments, and agribusiness industries. Governments also use these forecasts to support the agricultural sector and ensure food security. A study was conducted in Rajasthan's Kota district to analyze the wholesale price of garlic using data from July 2021 to July 2023 from the Kota fruit and vegetable market. The study used simple moving average (SMA), simple exponential smoothing (SES), and autoregressive integrated moving average (ARIMA) models to forecast garlic prices. The models were validated through mean absolute deviation (MAD), mean squared error (MSE), mean absolute percentage error (MAPE), root mean squared error (RMSE), correlation coefficient (r), and coefficient of variation (CV). The research was conducted utilizing Microsoft Excel and R Studio version 4.2.2 for Windows, and the results showed that the ARIMA (1,0,0) with a non-zero mean model had a strong correlation coefficient (r = 0.91**) and accurately predicted the variation in garlic prices. Based on the analysis, it is recommended to use this model for forecasting and making informed decisions.","PeriodicalId":222396,"journal":{"name":"Research on World Agricultural Economy","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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