scholarly journals Effects of Climate-Smart Agriculture Adoption on Performance of Rice Farmers in Northeast Vietnam

2021 ◽  
Vol 11 (4) ◽  
pp. 291-301
Author(s):  
Tuan M Ha ◽  
Ho Van Bac
Keyword(s):  
Selection Bias ◽  
Agricultural Production ◽  
Water Shortage ◽  
Economic Indicators ◽  
Organic Fertilizers ◽  
Economic Returns ◽  
Rice Farmers ◽  
Rice Yields ◽  
Smart Agriculture

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.

scholarly journals Fragmentation Reduction through Farmer-Led Land Transfer and Consolidation? Experiences of Rice Farmers in Wuhan Metropolitan Area, China

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 631
Author(s):  
Chaozheng Zhang ◽  
Danling Chen
Keyword(s):  
Metropolitan Area ◽  
Agricultural Production ◽  
Average Distance ◽  
Land Fragmentation ◽  
Rice Farmers ◽  
Land Transfer ◽  
Fragmentation Index ◽  
Average Size ◽  
Wuhan Metropolitan Area

Land fragmentation has become a serious obstacle to agricultural production, and land transfer and consolidation are traditionally emphasized as the two most effective solutions to this quandary. To identify the extent of land fragmentation accurately and systematically, this study selected the number of plots, the average size of plots, and the average distance between plots to calculate the land fragmentation index (LFI). Taking the Wuhan metropolitan area as a case study, this study examined the effectiveness of farmer-led land transfer and consolidation on land fragmentation. The main results are as follows: (a) most of the transferred plots and contracted plots were not spatially adjacent, suggesting that the tenants could not merge and consolidate both plots; (b) land transfer caused the LFI to increase by 2.85%, suggesting that land transfer had intensified the degree of land fragmentation to some extent; (c) if the transferred and contracted plots were non-adjacent or adjacent but unmerged and unconsolidated, then the LFI might increase or decrease; (d) if the transferred and contracted plots were spatially adjacent, merged, and consolidated, then the LFI decreased significantly.

Agricultural production in Hani Rice Terraces System and related threats — a case study of Zuofu and Mitian Villages in Honghe County, China

2012 ◽  
Vol 20 (6) ◽  
pp. 698-702 ◽  
Author(s):  
Yan-Ying BAI ◽  
Fei LUN ◽  
Zhi CAO ◽  
Lu HE ◽  
Xing-Chen LIU ◽  
...  
Keyword(s):  
Agricultural Production

scholarly journals System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 671
Author(s):  
Xiaoying Zhou ◽  
Feier Wang ◽  
Kuan Huang ◽  
Huichun Zhang ◽  
Jie Yu ◽  
...  
Keyword(s):  
Resource Management ◽  
System Dynamics ◽  
Water Resource ◽  
Water Allocation ◽  
Water Resource Management ◽  
Water Shortage ◽  
Multiple Objective ◽  
Multiple Objective Optimization ◽  
Model Framework

Predicting and allocating water resources have become important tasks in water resource management. System dynamics and optimal planning models are widely applied to solve individual problems, but are seldom combined in studies. In this work, we developed a framework involving a system dynamics-multiple objective optimization (SD-MOO) model, which integrated the functions of simulation, policy control, and water allocation, and applied it to a case study of water management in Jiaxing, China to demonstrate the modeling. The predicted results of the case study showed that water shortage would not occur at a high-inflow level during 2018–2035 but would appear at mid- and low-inflow levels in 2025 and 2022, respectively. After we made dynamic adjustments to water use efficiency, economic growth, population growth, and water resource utilization, the predicted water shortage rates decreased by approximately 69–70% at the mid- and low-inflow levels in 2025 and 2035 compared to the scenarios without any adjustment strategies. Water allocation schemes obtained from the “prediction + dynamic regulation + optimization” framework were competitive in terms of social, economic and environmental benefits and flexibly satisfied the water demands. The case study demonstrated that the SD-MOO model framework could be an effective tool in achieving sustainable water resource management.

scholarly journals Media coverage on food security and climate-smart agriculture: A case study of newspapers in Zimbabwe

2021 ◽  
Vol 7 (1) ◽  
pp. 1927561
Author(s):  
Innocent Kutyauripo ◽  
Nyaradzo Prisca Mavodza ◽  
Christopher Tafara Gadzirayi
Keyword(s):  
Food Security ◽  
Media Coverage ◽  
Smart Agriculture

scholarly journals Farmers’ Climate Change Adaptation Strategies for Reducing the Risk of Rice Production: Evidence from Rajshahi District in Bangladesh

Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 600
Author(s):  
Shahjahan Ali ◽  
Bikash Chandra Ghosh ◽  
Ataul Gani Osmani ◽  
Elias Hossain ◽  
Csaba Fogarassy
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Rice Production ◽  
Adaptation Strategies ◽  
Production Risk ◽  
Substantial Impact ◽  
Rice Farmers ◽  
Agronomic Practices ◽  
Rice Yields ◽  
Climate Change Adaptation Strategies

A lack of adaptive capacities for climate change prevents poor farmers from diversifying agricultural production in Bangladesh’s drought-resilient areas. Climate change adaptation strategies can reduce the production risk relating to unforeseen climatic shocks and increase farmers’ food, income, and livelihood security. This paper investigates rice farmers’ adaptive capacities to adapt climate change strategies to reduce the rice production risk. The study collected 400 farm-level micro-data of rice farmers with the direct cooperation of Rajshahi District. The survey was conducted during periods between June and July of 2020. Rice farmers’ adaptive capacities were estimated quantitatively by categorizing the farmers as high, moderate, and low level adapters to climate change adaptation strategies. In this study, a Cobb–Douglas production function was used to measure the effects of farmers’ adaptive capacities on rice production. The obtained results show that farmers are moderately adaptive in terms of adaptation strategies on climate change and the degree of adaptation capacities. Agronomic practices such as the quantity of fertilizer used, the amount of labor, the farm’s size, and extension contacts have a substantial impact on rice production. This study recommends that a farmer more significantly adjusts to adaptation strategies on climate change to reduce rice production. These strategies will help farmers to reduce the risk and produce higher quality rice. Consequently, rice farmers should facilitate better extension services and change the present agronomic practice to attain a higher adaptation status. It can be very clearly seen that low adaptability results in lower rice yields.

scholarly journals Valorization of Kiwi by-Products for the Recovery of Bioactive Compounds: Circular Economy Model

Proceedings ◽  
2020 ◽  
Vol 70 (1) ◽  
pp. 9
Author(s):  
Franklin Chamorro ◽  
María Carpena ◽  
Bernabé Nuñez-Estevez ◽  
Miguel A. Prieto ◽  
Jesus Simal-Gandara
Keyword(s):  
Bioactive Compounds ◽  
Circular Economy ◽  
Agricultural Production ◽  
Organic Waste ◽  
Antimicrobial Activities ◽  
Added Value ◽  
Economic Returns ◽  
Industrial Processing ◽  
Pharmaceutical Industries ◽  
By Products

Currently, agricultural production generates large amounts of organic waste, both from the maintenance of farms and crops, and from the industrialization of the product. Generally, these wastes are accumulated in landfills or burned, sometimes causing environmental problems. However, many scientific studies suggest that these residues are rich in bioactive compounds, so these matrices could be revalued for their use in food, cosmetic, or pharmaceutical industries. In this way, the circular and sustainable economy is favored, while obtaining products with high added value. In this case, this approach is applied to the residues generated from kiwi production, since numerous studies have shown the high content of kiwi in bioactive compounds of interest, such as phenolic compounds, vitamins, and carotenoids. These compounds have been reported for their antioxidant, anti-inflammatory, and antimicrobial activities, among other beneficial properties for health such as its use as prebiotic. Therefore, this article reviews the potential of residues derived from industrial processing and agricultural maintenance of kiwi as promising matrices for the development of new nutraceutical, cosmetic, or pharmacological products, obtaining, at the same time, economic returns and a reduction of the environmental impact of this industry, attaching it to the perspective of the circular economy.

scholarly journals Financial-Economic Indicators – Vectors of Budgetary Performance. Case Study Romania

2016 ◽  
Vol 39 ◽  
pp. 833-839
Author(s):  
Dumitrescu – Peculea Adelina ◽  
Sopu (Misa) Monica Roxana
Keyword(s):  
Financial Economic ◽  
Economic Indicators

Exploring the water–energy–food nexus from a perspective of agricultural production efficiency using a three-stage data envelopment analysis modelling evaluation method: a case study of the middle and lower reaches of the Yangtze River, China

Water Policy ◽  
2018 ◽  
Vol 21 (1) ◽  
pp. 49-72 ◽  
Author(s):  
Jiazhong Zheng ◽  
Weiguang Wang ◽  
Dan Chen ◽  
Xinchun Cao ◽  
Wanqiu Xing ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Agricultural Production ◽  
Yangtze River ◽  
Production Efficiency ◽  
Evaluation Method ◽  
Data Envelopment ◽  
The Yangtze River ◽  
Agricultural Resources ◽  
Important Challenge

Abstract A coordinated nexus of agricultural resources is vital to achieve food security and sustainable development in China. Comprehensively considering the water–energy–food nexus as well as the external environment, this study adopts a three-stage data envelopment analysis (DEA) modelling evaluation method to assess the agricultural production efficiency (APE) of seven provinces in the middle and lower reaches of the Yangtze River (MLYR) during 1996–2015. The results show that the three-stage DEA modelling evaluation method reveals real APE and is considered to be a better quantitative method than conventional approaches. A gradually widening range of APE is an important challenge for this region. Significantly, this region generates huge demands for agricultural resources. Moreover, regional emissions of greenhouse gases (GHG) decreased from 34.20 million tons standard coal in 1996 to 32.11 million tons standard coal in 2015, though APE has continued to decrease by 2.56% in the past two decades. In general, the management and technology levels should be improved simultaneously, even though specific opportunities for APE improvement vary across provinces in MLYR. However, understanding the temporal and spatial variation of APE along with the WEF nexus from a production-based insight is a vital step toward appropriately targeted policy making for nationwide resources savings and emissions reduction.

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