Climate variability and agriculture in Italy: a stochastic frontier analysis at the regional level

Auci, Sabrina; Vignani, Donatella

doi:10.1007/s40888-020-00172-x

Cited by 18 publications

(12 citation statements)

References 55 publications

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“…In this work, we have proposed a set of indicators that can be used to quickly assess operational criticalities of reservoirs to sustainably fulfill irrigation water demands for specific irrigation districts. Specifically, the analysis was conducted in Italy where the negative simultaneous effect of increasing temperature and decreasing water availability on crop water demand was widely argued [16,68], particularly in the South [16,[69][70][71].…”

Section: Discussionmentioning

confidence: 99%

Assessment of Irrigated Agriculture Vulnerability under Climate Change in Southern Italy

Masia

Sušnik

Marras

et al. 2018

Water

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Climate change in Mediterranean countries is anticipated to have a strong impact on water availability by exacerbating drought conditions and water scarcity. In this context, efficient irrigation practices are becoming essential for sustaining crop production. This work assesses vulnerability of irrigated agriculture for six irrigation districts and their associated reservoirs in Mediterranean areas across Italy under climate change (1976-2005 versus 2036-2065; RCP 4.5 and 8.5), evaluating changes in irrigation requirements, evaporation from reservoirs, and the availability of freshwater supplies. Irrigation requirements are estimated through a crop water model (SIMETAW_R) integrated into a GIS platform, while inflows to reservoirs are hydrologically modelled as partitioning of precipitation contributing to runoff. Results are aggregated into indicators that show the general decreasing resilience and increasing vulnerability of irrigated agriculture under climate change conditions in each case study. The highest percentage of allowable water losses for irrigation is estimated in the Cuga-Alto Temo system, during the prolonged drought period, to be able to satisfy irrigation demand for less than a year. Climate change may only partially affect irrigation in resilient systems, in which storage capacity and the water level entering into the reservoir are considerably higher than the water distribution volumes.

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Section: Discussionmentioning

confidence: 99%

Assessment of Irrigated Agriculture Vulnerability under Climate Change in Southern Italy

Masia

Sušnik

Marras

et al. 2018

Water

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“…Technical efficiency can be assessed by using nonparametric methods like data envelopment analysis (DEA) (Fall et al., 2018; Stokes et al. 2007; Silva et al., 2017; Toma et al., 2017) or parametric methods like stochastic frontier analysis (SFA) (Auci & Vignani, 2020). Both methods have their strengths and weaknesses.…”

Section: Empirical Modelmentioning

confidence: 99%

Impact of cooperative membership on production efficiency of smallholder goat farmers in Nepal

Neupane

Paudel

Adhikari

et al. 2022

Ann Public Coop Econ

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Goat is a source of cash income to smallholders in many developing countries. The productivity of goat farmers is poorly understood and assumed similar across all households. Cooperatives are hailed as an institution that can provide market power to smallholders in developing countries. We assess the impact of cooperatives on the technical efficiency of goat farmers in Nepal. Multistage sampling and in-person interviews were used to collect information from 334 nonmember and 327 member cooperative farmers from two prominent goat production districts in Nepal. We use translog production function to calculate the technical efficiency. The endogeneity associated with cooperative membership is addressed through an instrumental variable approach. The onestep analysis was used to avoid bias due to the onesided stochastic frontier analysis error. All conventional inputs have significant and positive impact on performance. Cooperative membership shows positive and significant impact on technical efficiency. The average technical efficiency score of cooperative members was 93.2%, while of nonmembers was 90.7%, and the difference was significant. Variables positively affecting

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“…Existing studies have focused on the definition of connotation, development transformation, evaluation indicators, and realization paths [10] regarding agricultural green development. Agricultural green development has gone through multiple stages of evolution, such as germination, development, enhancement, and promotion, and the core connotation mainly includes resource conservation, environmental friendliness, clean origin environment, product quality improvement, and ecosystem stability [11], which can be measured by data envelopment analysis (DEA) [12], stochastic frontier analysis (SFA) [13], and other models for partial factor productivity and total factor productivity. e development of digital technology, especially the proposal of "Internet + agriculture," provides new ideas for the development of traditional agriculture [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Application of IOT in Exploring the Development Path of the Whole Agricultural Industry Chain under the Perspective of Ecological Environment

Wang

2022

Mobile Information Systems

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The green development of the entire agricultural industry chain is not only an important way to enhance the competitiveness of agricultural products and promote the value-added of the agricultural industry but also an inevitable choice to improve the efficiency of resource utilization and ensure sustainable economic development from the perspective of the ecological environment. This paper defines the connotation and characteristics of the green development of the whole agricultural industry chain and deeply analyzes the development status, major challenges, and feasible paths of the whole agricultural industry chain in China. It has built a whole industry chain development model of “Internet + modern agriculture” and proposed a decentralized agricultural data management system based on the IoT to solve the problem of untraceable of traditional agricultural products and other data. The agricultural IoT system is designed with a unique blockchain double-chain structure, using the global hash chain and the mutual verification between the transaction chains in each partition. It proposes the PMCP protocol, which improves the performance of the system by producing blocks in parallel for several consensus groups in each consensus cycle. The experimental results show that the proposed model is queryable, traceable, and trustworthy for whole-life agricultural data, and the proposed model outperforms other schemes in terms of throughput and delay.

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Climate variability and agriculture in Italy: a stochastic frontier analysis at the regional level

Cited by 18 publications

References 55 publications

Assessment of Irrigated Agriculture Vulnerability under Climate Change in Southern Italy

Assessment of Irrigated Agriculture Vulnerability under Climate Change in Southern Italy

Impact of cooperative membership on production efficiency of smallholder goat farmers in Nepal

Application of IOT in Exploring the Development Path of the Whole Agricultural Industry Chain under the Perspective of Ecological Environment

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