Pub Date : 2021-12-15DOI: 10.18488/journal.ajard.2021.114.346.353
I. Listiana, Indah Nurmayasari, R. Bursan, Muher Sukmayanto, H. Yanfika, R. Widyastuti
Climate change is an extreme natural change condition due to global warming that cannot be avoided, and will have a broad impact on various aspects of life, including the agricultural sector. The impact of climate change that occurs in the agricultural sector, namely flood and drought that cause plants to crop failure , is becoming greater, causing significant reduction in agricultural production, especially rice, requiring that farmers have the ability to adapt to climate change. The purposes of this study are to analyze the relationship between the performance level of agricultural extension workers and the capacity level of farmers in regard to climate change adaptation, and to analyze the relationship between the level of farmer capacity in climate change adaptation and rice productivity. The research was conducted in Central Lampung Regency in 2019 using a total of 100 rice farmers. The data analysis method used is Spearman rank correlation analysis. The results show that the performance level of agricultural instructors is significantly related to the level of knowledge capacity, attitude, and skills of farmers in climate change adaptation. Knowledge capacity, attitude, and skills of farmers in climate change adaptation are significantly related to rice productivity.
{"title":"Farmers’ Capacity and Rice Productivity in Climate Change Adaptation in Central Lampung Regency, Indonesia","authors":"I. Listiana, Indah Nurmayasari, R. Bursan, Muher Sukmayanto, H. Yanfika, R. Widyastuti","doi":"10.18488/journal.ajard.2021.114.346.353","DOIUrl":"https://doi.org/10.18488/journal.ajard.2021.114.346.353","url":null,"abstract":"Climate change is an extreme natural change condition due to global warming that cannot be avoided, and will have a broad impact on various aspects of life, including the agricultural sector. The impact of climate change that occurs in the agricultural sector, namely flood and drought that cause plants to crop failure , is becoming greater, causing significant reduction in agricultural production, especially rice, requiring that farmers have the ability to adapt to climate change. The purposes of this study are to analyze the relationship between the performance level of agricultural extension workers and the capacity level of farmers in regard to climate change adaptation, and to analyze the relationship between the level of farmer capacity in climate change adaptation and rice productivity. The research was conducted in Central Lampung Regency in 2019 using a total of 100 rice farmers. The data analysis method used is Spearman rank correlation analysis. The results show that the performance level of agricultural instructors is significantly related to the level of knowledge capacity, attitude, and skills of farmers in climate change adaptation. Knowledge capacity, attitude, and skills of farmers in climate change adaptation are significantly related to rice productivity.","PeriodicalId":36876,"journal":{"name":"Asian Journal of Agriculture and Rural Development","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81320302","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}
Pub Date : 2021-12-15DOI: 10.18488/journal.ajard.2021.114.334.345
Ndwambi Khudzadzo, A. E. Nesamvuni, K. Tshikolomo, S. Mpandeli, J. V. Niekerk, B. Petja
A comprehensive subtropical fruit potential model (IUM) was established through novel integration of groundwater resources with multi-criterion predictive parameters. Equal-weights overlay was applied to reclassified and ranked rasters to institute IUM. Avocado and litchi had the least spatial extent that concealed the micro-climatic zones of high rainfall (>1000 mmpa) in Vhembe, Mopane, and Waterberg districts; meanwhile, mango and citrus were the crops with the most extensive province-wide distribution. Subsequent potential was apportioned in these sequences by constituency: Waterberg (1719019 ha), Mopane (977741 ha), Vhembe (764044 ha), Capricorn (579506 ha), and Sekhukhune (379968 ha). The IUM resulted in the demarcation of 8.7 million ha to produce the selected crops, which reflected an increase of 7.7 million from the rainfed suitability model. The integrated model would result in the creation of 10.87 million direct employments. The IUM expanded the agrarian sector with positive spinoffs for agribusiness development.
{"title":"Integration of Agro-Ecological and Groundwater Resources for the Assessment of Crop Suitability Potential Modeling: The Case of Limpopo Province, South Africa","authors":"Ndwambi Khudzadzo, A. E. Nesamvuni, K. Tshikolomo, S. Mpandeli, J. V. Niekerk, B. Petja","doi":"10.18488/journal.ajard.2021.114.334.345","DOIUrl":"https://doi.org/10.18488/journal.ajard.2021.114.334.345","url":null,"abstract":"A comprehensive subtropical fruit potential model (IUM) was established through novel integration of groundwater resources with multi-criterion predictive parameters. Equal-weights overlay was applied to reclassified and ranked rasters to institute IUM. Avocado and litchi had the least spatial extent that concealed the micro-climatic zones of high rainfall (>1000 mmpa) in Vhembe, Mopane, and Waterberg districts; meanwhile, mango and citrus were the crops with the most extensive province-wide distribution. Subsequent potential was apportioned in these sequences by constituency: Waterberg (1719019 ha), Mopane (977741 ha), Vhembe (764044 ha), Capricorn (579506 ha), and Sekhukhune (379968 ha). The IUM resulted in the demarcation of 8.7 million ha to produce the selected crops, which reflected an increase of 7.7 million from the rainfed suitability model. The integrated model would result in the creation of 10.87 million direct employments. The IUM expanded the agrarian sector with positive spinoffs for agribusiness development.","PeriodicalId":36876,"journal":{"name":"Asian Journal of Agriculture and Rural Development","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74241594","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}
Pub Date : 2021-11-03DOI: 10.18488/journal.ajard.2021.114.311.319
Sujan Chandra Paul, N. Jahan, A. Nandi, Md. Asiqur Rahman
The aim of this study is explore the effect of foreign direct investment on agriculture and rural development. For this, panel data of 46 countries from Asia were accumulated for the time frame 1991–2018. The models OLS, POLS, 2SLS, and GMM are employed in this study. The study reveals that there is a favorable association between foreign direct investment and agricultural land as percentage of total land using the models OLS, POLS, 2SLS. In stark contrast, value added for agriculture, forestry, and fishing has an unfavorable association with foreign direct investment in all models employed in the study. Furthermore, female employment in agriculture has a negative association with foreign direct investment in OLS, 2SLS and GMM models, whereas male employment in agriculture has a negative association with foreign direct investment in the POLS model only. Land under cereal production has a favorable association with foreign direct investment in all models except POLS, and permanent cropland has a favorable association with foreign direct investment in all models except GMM. In addition, rural population has a positive relationship with foreign direct investment in OLS, POLS and 2SLS and a negative relationship with foreign direct investment in GMM.
{"title":"Nexus Between FDI, Agriculture, and Rural Development: Evidence from Asian Countries","authors":"Sujan Chandra Paul, N. Jahan, A. Nandi, Md. Asiqur Rahman","doi":"10.18488/journal.ajard.2021.114.311.319","DOIUrl":"https://doi.org/10.18488/journal.ajard.2021.114.311.319","url":null,"abstract":"The aim of this study is explore the effect of foreign direct investment on agriculture and rural development. For this, panel data of 46 countries from Asia were accumulated for the time frame 1991–2018. The models OLS, POLS, 2SLS, and GMM are employed in this study. The study reveals that there is a favorable association between foreign direct investment and agricultural land as percentage of total land using the models OLS, POLS, 2SLS. In stark contrast, value added for agriculture, forestry, and fishing has an unfavorable association with foreign direct investment in all models employed in the study. Furthermore, female employment in agriculture has a negative association with foreign direct investment in OLS, 2SLS and GMM models, whereas male employment in agriculture has a negative association with foreign direct investment in the POLS model only. Land under cereal production has a favorable association with foreign direct investment in all models except POLS, and permanent cropland has a favorable association with foreign direct investment in all models except GMM. In addition, rural population has a positive relationship with foreign direct investment in OLS, POLS and 2SLS and a negative relationship with foreign direct investment in GMM.","PeriodicalId":36876,"journal":{"name":"Asian Journal of Agriculture and Rural Development","volume":"105 7S 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83710513","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}
Pub Date : 2021-10-28DOI: 10.18488/journal.ajard.2021.114.302.310
S. Kanjina
Social media are viewed as having potential for agricultural extension. This study therefore surveyed social media use by farmers in a developing country, and their role as a source of agricultural information. To this end, 365 farmers in Chiang Mai, Thailand, were sampled and interviewed using a questionnaire. The findings revealed that the majority of respondents (81.92%) did not adopt social media and, these remained marginal as a source of agricultural information for farmers. Those using social media (18.08%) employed certain applications, i.e., LINE, Facebook and YouTube, mainly for communication, new updates and entertainment. Younger farmers and farmers with a higher formal education related to social media use significantly. To fully harness the potentials of social media for agricultural extension, more farmers need to be encouraged to use them, while relevant agencies also are required to provide support for this effort, such as staff training in social media use, and enabling a social media policy.
{"title":"Farmers’ Use of Social Media and its Implications for Agricultural Extension: Evidence from Thailand","authors":"S. Kanjina","doi":"10.18488/journal.ajard.2021.114.302.310","DOIUrl":"https://doi.org/10.18488/journal.ajard.2021.114.302.310","url":null,"abstract":"Social media are viewed as having potential for agricultural extension. This study therefore surveyed social media use by farmers in a developing country, and their role as a source of agricultural information. To this end, 365 farmers in Chiang Mai, Thailand, were sampled and interviewed using a questionnaire. The findings revealed that the majority of respondents (81.92%) did not adopt social media and, these remained marginal as a source of agricultural information for farmers. Those using social media (18.08%) employed certain applications, i.e., LINE, Facebook and YouTube, mainly for communication, new updates and entertainment. Younger farmers and farmers with a higher formal education related to social media use significantly. To fully harness the potentials of social media for agricultural extension, more farmers need to be encouraged to use them, while relevant agencies also are required to provide support for this effort, such as staff training in social media use, and enabling a social media policy.","PeriodicalId":36876,"journal":{"name":"Asian Journal of Agriculture and Rural Development","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87479181","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}
Pub Date : 2021-10-25DOI: 10.18488/journal.ajard.2021.114.279.290
Rajni Kapoor, Nimai Das
The study aims to explore labor freedom in the agricultural sector for enhancing the efficiency of farming through policy change towards assigning property rights, rental contracts, and better wage-employment options to rural workers. Labor freedom emphasizes land reform and development policy for improving the economic status and capabilities of rural workers. The paper assessed the labor freedom index, weighted through agricultural property rights, labor wage contracts, and rural development policy. Data envelopment analysis is used to assess farm-level efficiency under the framework of Tobit regression for different size-based farm categories. Farm-level information was collected through a primary survey of 336 rural households of an advanced agricultural state in India. The study found a positive association between farm size and intensity of labor freedom, although the extent of freedom differs among farms. Size-specific variation was also observed for allocative efficiency such that marginal and medium-sized farms are more efficient than smaller ones. Tobit regression indicated labor freedom to be positively and significantly related to the efficiency of marginal, small and overall farms with enhancing efficiency of 25, 17 and nearly 20%, respectively; however, estimates of labor freedom insignificantly increased the efficiency of mediums farms, by 4.8%. This result suggests that labor freedom positive and significantly affects the efficiency of farms in general, and marginal and small farms in particular. Of course, the elasticity estimate of enhancing efficiency through labor freedom for medium farmers is found at a lower level.
{"title":"A Pragmatic Study for Enhancing Agricultural Efficiency through Labor Freedom","authors":"Rajni Kapoor, Nimai Das","doi":"10.18488/journal.ajard.2021.114.279.290","DOIUrl":"https://doi.org/10.18488/journal.ajard.2021.114.279.290","url":null,"abstract":"The study aims to explore labor freedom in the agricultural sector for enhancing the efficiency of farming through policy change towards assigning property rights, rental contracts, and better wage-employment options to rural workers. Labor freedom emphasizes land reform and development policy for improving the economic status and capabilities of rural workers. The paper assessed the labor freedom index, weighted through agricultural property rights, labor wage contracts, and rural development policy. Data envelopment analysis is used to assess farm-level efficiency under the framework of Tobit regression for different size-based farm categories. Farm-level information was collected through a primary survey of 336 rural households of an advanced agricultural state in India. The study found a positive association between farm size and intensity of labor freedom, although the extent of freedom differs among farms. Size-specific variation was also observed for allocative efficiency such that marginal and medium-sized farms are more efficient than smaller ones. Tobit regression indicated labor freedom to be positively and significantly related to the efficiency of marginal, small and overall farms with enhancing efficiency of 25, 17 and nearly 20%, respectively; however, estimates of labor freedom insignificantly increased the efficiency of mediums farms, by 4.8%. This result suggests that labor freedom positive and significantly affects the efficiency of farms in general, and marginal and small farms in particular. Of course, the elasticity estimate of enhancing efficiency through labor freedom for medium farmers is found at a lower level.","PeriodicalId":36876,"journal":{"name":"Asian Journal of Agriculture and Rural Development","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76174693","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}
Pub Date : 2021-10-25DOI: 10.18488/journal.ajard.2021.114.291.301
T. Ha, Hoang Bac
Agricultural production is increasingly vulnerable to risks and uncertainties associated with climate changes. Climate-smart agriculture (CSA) has been proposed to address challenges in agricultural production such as food security, water shortage, drought, and soil erosion, etc. The benefits of CSA adoption for farmers have been debated. Many previous studies have indicated that impacts seem to be affected by selection bias. However, controlling such selection bias has not been considered in studies on the CSA adoption. Thus, in this study, we analyzed the impacts of CSA adoption on major economic indicators for rice farmers. The Propensity Score Matching (PSM) method was employed to address such selection bias for a case study on rice farmers in Thai Nguyen province, Vietnam. Comparing main economic indicators, we found significant differences in rice yields and used seed inputs between CSA and non-CSA adopters. Ignoring selection bias control resulted in overestimation of economic returns. The results also indicate limited contribution of CSA adoption to a reduction in pesticide and herbicide usage, and an increase in use of organic fertilizers. Some implications for further research are also discussed.
{"title":"Effects of Climate-Smart Agriculture Adoption on Performance of Rice Farmers in Northeast Vietnam","authors":"T. Ha, Hoang Bac","doi":"10.18488/journal.ajard.2021.114.291.301","DOIUrl":"https://doi.org/10.18488/journal.ajard.2021.114.291.301","url":null,"abstract":"Agricultural production is increasingly vulnerable to risks and uncertainties associated with climate changes. Climate-smart agriculture (CSA) has been proposed to address challenges in agricultural production such as food security, water shortage, drought, and soil erosion, etc. The benefits of CSA adoption for farmers have been debated. Many previous studies have indicated that impacts seem to be affected by selection bias. However, controlling such selection bias has not been considered in studies on the CSA adoption. Thus, in this study, we analyzed the impacts of CSA adoption on major economic indicators for rice farmers. The Propensity Score Matching (PSM) method was employed to address such selection bias for a case study on rice farmers in Thai Nguyen province, Vietnam. Comparing main economic indicators, we found significant differences in rice yields and used seed inputs between CSA and non-CSA adopters. Ignoring selection bias control resulted in overestimation of economic returns. The results also indicate limited contribution of CSA adoption to a reduction in pesticide and herbicide usage, and an increase in use of organic fertilizers. Some implications for further research are also discussed.","PeriodicalId":36876,"journal":{"name":"Asian Journal of Agriculture and Rural Development","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89806856","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}
Pub Date : 2021-10-25DOI: 10.18488/journal.ajard.2021.114.269.278
Syafrial, Hery Toiba, Mohibbur Rahman, D. Retnoningsih
The adoption of technological innovations, such as an improved variety, has been widely promoted worldwide to improve agricultural productivity. This study aimed to examine factors affecting farmers’ decision to adopt a new improved cassava varieties (NICV), and to estimate the effects of NICV adoption on farmers’ technical efficiency. This research used cross-sectional data from 300 cassava farmers in East Java, Indonesia. Furthermore, the data were analyzed by probit regression to examine factors affecting farmers’ decision to adopt NICV. Propensity score matching (PSM) procedures and stochastic frontier analysis were applied to evaluate the impact of NICV adoption on farmers’ technical efficiency. The results indicated that adoption was highly influenced by cooperative membership, access to credit, internet access, certified land, and off-farm work. The stochastic frontier analysis, by controlling the matched sample using PSM procedures, demonstrated that NICV adoption positively and significantly impacted farmers’ technical efficiency. Those who adopted NICV showed a higher technical efficiency level than those who did not. This finding implies that improved varieties could be further promoted to increase productivity. The research suggests that there is a need to improve NICV adoption to increase the levels of technical efficiency and productivity.
{"title":"The Effects of Improved Cassava Variety Adoption on Farmers’ Technical Efficiency in Indonesia","authors":"Syafrial, Hery Toiba, Mohibbur Rahman, D. Retnoningsih","doi":"10.18488/journal.ajard.2021.114.269.278","DOIUrl":"https://doi.org/10.18488/journal.ajard.2021.114.269.278","url":null,"abstract":"The adoption of technological innovations, such as an improved variety, has been widely promoted worldwide to improve agricultural productivity. This study aimed to examine factors affecting farmers’ decision to adopt a new improved cassava varieties (NICV), and to estimate the effects of NICV adoption on farmers’ technical efficiency. This research used cross-sectional data from 300 cassava farmers in East Java, Indonesia. Furthermore, the data were analyzed by probit regression to examine factors affecting farmers’ decision to adopt NICV. Propensity score matching (PSM) procedures and stochastic frontier analysis were applied to evaluate the impact of NICV adoption on farmers’ technical efficiency. The results indicated that adoption was highly influenced by cooperative membership, access to credit, internet access, certified land, and off-farm work. The stochastic frontier analysis, by controlling the matched sample using PSM procedures, demonstrated that NICV adoption positively and significantly impacted farmers’ technical efficiency. Those who adopted NICV showed a higher technical efficiency level than those who did not. This finding implies that improved varieties could be further promoted to increase productivity. The research suggests that there is a need to improve NICV adoption to increase the levels of technical efficiency and productivity.","PeriodicalId":36876,"journal":{"name":"Asian Journal of Agriculture and Rural Development","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90509430","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}
Pub Date : 2021-10-22DOI: 10.18488/journal.ajard.2021.114.262.268
A. Maniriho, E. Musabanganji, P. Lebailly
This study attempted to examine the role of institutions in boosting rural and agricultural development in the region of the Volcanic Highlands of Rwanda. Both qualitative and quantitative data were collected from a random sample of 401 small-scale farmers through a questionnaire. Data were analyzed using a weighted least-squares method to account for heteroscedasticity, a common issue in cross-sectional studies. Results from crop output function reveal a positive and significant effect of cooperative membership, a negative but significant effect of extension services, and a negative non-significant effect of land tenure, credit access, and market access on farm production, respectively. In terms of net farm income function, the results demonstrate that farmer cooperation, land tenure, extension services, and access to output markets have a positive, non-significant influence, but that access to finance has a negative non-significant effect. Results also point to a positive and significant effect of some household characteristics, namely family size, farming experience, land size, and farm yield, on farm production. As for net farm income, education of the head, family size, farm experience, land size, farm yield, selling price, and cattle proved to be among primary determinants. It was therefore suggested that agricultural sector programs and activities should be readapted and strengthened in order to leverage rural and agricultural development in Rwanda.
{"title":"Factors Affecting Farm Performance among Small-Scale Farmers in the Volcanic Highlands of Rwanda: What is the Role of Institutions?","authors":"A. Maniriho, E. Musabanganji, P. Lebailly","doi":"10.18488/journal.ajard.2021.114.262.268","DOIUrl":"https://doi.org/10.18488/journal.ajard.2021.114.262.268","url":null,"abstract":"This study attempted to examine the role of institutions in boosting rural and agricultural development in the region of the Volcanic Highlands of Rwanda. Both qualitative and quantitative data were collected from a random sample of 401 small-scale farmers through a questionnaire. Data were analyzed using a weighted least-squares method to account for heteroscedasticity, a common issue in cross-sectional studies. Results from crop output function reveal a positive and significant effect of cooperative membership, a negative but significant effect of extension services, and a negative non-significant effect of land tenure, credit access, and market access on farm production, respectively. In terms of net farm income function, the results demonstrate that farmer cooperation, land tenure, extension services, and access to output markets have a positive, non-significant influence, but that access to finance has a negative non-significant effect. Results also point to a positive and significant effect of some household characteristics, namely family size, farming experience, land size, and farm yield, on farm production. As for net farm income, education of the head, family size, farm experience, land size, farm yield, selling price, and cattle proved to be among primary determinants. It was therefore suggested that agricultural sector programs and activities should be readapted and strengthened in order to leverage rural and agricultural development in Rwanda.","PeriodicalId":36876,"journal":{"name":"Asian Journal of Agriculture and Rural Development","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86318000","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}
Pub Date : 2021-09-20DOI: 10.18488/journal.ajard.2021.113.255.261
Hajime Kamiyama, M. Kefi, K. Kashiwagi
This study evaluated the technical efficiency and irrigation water use efficiency of olive farms in Tunisia, using Data Envelopment Analysis. In order to calibrate and validate the findings, data related to area, water use, water quality, cultivar, input, and yield were collected based on interviews from 45 irrigated olive farms in Kairouan Governorate. The results show that average input-oriented water use efficiency under the CRS and VRS specifications is 17.2% and 36.3%, respectively, indicating that the sampled olive farms could reduce the use of water by an average of 82.8% and 63.7% by improving the performance of irrigation systems. Also, it was found that there are large differences in irrigation water use efficiency between the CRS and VRS specifications. Consequently, this indicates that a number of olive farms can enhance overall efficiency by improving the scale of operation. In practical terms, this study provides significant insights for the olive growers in this study regarding the importance of removing scale inefficiency. Specifically, they need to consider the effects of water and soil quality on irrigated fields to improve the efficiency of irrigation water use.
{"title":"Irrigation Water Use Efficiency in Olive Trees in Kairouan, Tunisia","authors":"Hajime Kamiyama, M. Kefi, K. Kashiwagi","doi":"10.18488/journal.ajard.2021.113.255.261","DOIUrl":"https://doi.org/10.18488/journal.ajard.2021.113.255.261","url":null,"abstract":"This study evaluated the technical efficiency and irrigation water use efficiency of olive farms in Tunisia, using Data Envelopment Analysis. In order to calibrate and validate the findings, data related to area, water use, water quality, cultivar, input, and yield were collected based on interviews from 45 irrigated olive farms in Kairouan Governorate. The results show that average input-oriented water use efficiency under the CRS and VRS specifications is 17.2% and 36.3%, respectively, indicating that the sampled olive farms could reduce the use of water by an average of 82.8% and 63.7% by improving the performance of irrigation systems. Also, it was found that there are large differences in irrigation water use efficiency between the CRS and VRS specifications. Consequently, this indicates that a number of olive farms can enhance overall efficiency by improving the scale of operation. In practical terms, this study provides significant insights for the olive growers in this study regarding the importance of removing scale inefficiency. Specifically, they need to consider the effects of water and soil quality on irrigated fields to improve the efficiency of irrigation water use.","PeriodicalId":36876,"journal":{"name":"Asian Journal of Agriculture and Rural Development","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85458662","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}
Pub Date : 2021-09-06DOI: 10.18488/journal.ajard.2021.113.236.244
Dani Ramdani Harun, Sony Heru Priyanto, Lieli Suharti
This study aims to test the model adoption of farmer card innovation by farmers. Data were collected through the use of the survey technique. The respondents were obtained through cluster sampling from six districts that included the greatest numbers of farmer card users in central Java. Data analysis was done through the SEM technique. As a result, from the five variables included, reconstruction and merging of the independent variables were then carried out so that three important antecedent variables appeared regarding influencing the adoption of farmer cards, namely leadership, facility conditions, and the role of government mediated by perceptions of card technology. The application of farmer cards produced such a farmer database, accuracy improvement, and government service to farmers. Future research needs to be directed toward carrying out development research related to increasing the capacity of information technology regarding farmer cards; hence it will bring better welfare to farmers. No previous research has explained how small farmers adopt information technology provided by the government. Many events have transpired, but these dynamics have not been revealed in previous research. This research resulted in an adoption model that enriches the previous Rogers’ innovation adoption theory, especially how leadership factors play an important role in the adoption of information technology innovations
{"title":"Farmer Cards: Model, Database, Accuracy, and Improvement in Goverment Quality Service","authors":"Dani Ramdani Harun, Sony Heru Priyanto, Lieli Suharti","doi":"10.18488/journal.ajard.2021.113.236.244","DOIUrl":"https://doi.org/10.18488/journal.ajard.2021.113.236.244","url":null,"abstract":"This study aims to test the model adoption of farmer card innovation by farmers. Data were collected through the use of the survey technique. The respondents were obtained through cluster sampling from six districts that included the greatest numbers of farmer card users in central Java. Data analysis was done through the SEM technique. As a result, from the five variables included, reconstruction and merging of the independent variables were then carried out so that three important antecedent variables appeared regarding influencing the adoption of farmer cards, namely leadership, facility conditions, and the role of government mediated by perceptions of card technology. The application of farmer cards produced such a farmer database, accuracy improvement, and government service to farmers. Future research needs to be directed toward carrying out development research related to increasing the capacity of information technology regarding farmer cards; hence it will bring better welfare to farmers. No previous research has explained how small farmers adopt information technology provided by the government. Many events have transpired, but these dynamics have not been revealed in previous research. This research resulted in an adoption model that enriches the previous Rogers’ innovation adoption theory, especially how leadership factors play an important role in the adoption of information technology innovations","PeriodicalId":36876,"journal":{"name":"Asian Journal of Agriculture and Rural Development","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77129515","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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