scholarly journals Greek Fish Farming: Measuring Profitability and Efficiency of the Sector at the peak of Economic Crisis

2021 ◽  
Vol 18 ◽  
pp. 1272-1279
Author(s):  
Athanasia Mavromatti ◽  
Achilleas Kontogeorgos ◽  
Fotios Chatzitheodoridis
Keyword(s):  
Economic Crisis ◽  
Production Systems ◽  
Positive Impact ◽  
Capital Intensity ◽  
Fish Farming ◽  
Data Set ◽  
Crop Agriculture ◽  
Farming Industry ◽  
Species Production ◽  
Operating Leverage

Fish farming play important role in providing food and income in many EU countries, either as a stand-alone activity or in association with crop agriculture and livestock rearing. Fish farming is widespread in Greece and differs only with respect to species, production systems and volumes. Moreover, the Greek economic crisis has heavily affected the fish farming sector and challenges the competitiveness of farms. The objective of the current paper is the examination of the profitability and efficiency of the Greek fish farming industry during the most crucial years of Greek economic crisis by measuring firm’s performance using a panel data set of companies. The research is based on financial data of sixty-eight aquaculture firms for the period 2010-2015. The empirical results indicate that firms share of total sales has a positive impact on profitability, while an alternative proxy, the total assets is negatively linked to efficiency. Firm's profitability is positively affected by liquidity, working capital management, productivity and industry’s growth and negatively by financial and operating leverage. Firms Efficiency is determined positively by profitability and ability to repay its debt obligations and negatively by capital intensity, operating leverage and size

scholarly journals Overview of the application of computer vision technology in fish farming

2020 ◽  
Vol 175 ◽  
pp. 02015 ◽  
Author(s):  
Alexey Petrov ◽  
Anton Popov
Keyword(s):  
Computer Vision ◽  
Digital Technologies ◽  
Fish Farming ◽  
Data Set ◽  
Commercial Fish ◽  
Scientific Experiments ◽  
Computer Vision Technology ◽  
Digital Agriculture ◽  
Farming Industry ◽  
Artificial Reservoirs

The issues that are currently identified in Russia during the implementation of Digital Agriculture project are considered. The main issues that need to be addressed in development of modern digital technologies in the fish farming industry using natural and artificial reservoirs are highlighted. Aqua engineering trends and scientific works of a number of teams that conduct research and use the capabilities of deep machine learning, are analyzed. Particular attention was paid to specific tasks and research results that solve applied problems in the field of aquaculture and fish farming. Conclusions are made about the prospects for implementing these objectives in Russia. The conclusions of scientific teams and new tasks set as a result of scientific experiments are considered. The main directions in the area of commercial fish farming that need active adaptation of computer vision to deal with applied problems, are identified. Questions of efficiency in introduction of neural networks of deep learning are raised, and also conclusions are drawn on introduction of the term “selectivity” to determine the relation of a data set received by a digital method, referred to quantity of the same data which would be received at their collection by means of non-digital technologies.

The Salmon Sea Fish Farming Industry in Iceland: A Review

2019 ◽  
Vol 10 (4) ◽  
Author(s):  
Arnar Bjarnason ◽  
Soffia Karen Magnúsdóttir
Keyword(s):  
Fish Farming ◽  
Farming Industry ◽  
Sea Fish

Measuring Congestion and Reliability Impacts of Safety Projects

2021 ◽  
pp. 036119812110067
Author(s):  
Simona Babiceanu ◽  
Sanhita Lahiri ◽  
Mena Lockwood
Keyword(s):  
Performance Measures ◽  
Positive Impact ◽  
Operating Conditions ◽  
Vehicle Miles Traveled ◽  
Data Set ◽  
Data Points ◽  
Practical Recommendations

This study uses a suite of performance measures that was developed by taking into consideration various aspects of congestion and reliability, to assess impacts of safety projects on congestion. Safety projects are necessary to help move Virginia’s roadways toward safer operation, but can contribute to congestion and unreliability during execution, and can affect operations after execution. However, safety projects are assessed primarily for safety improvements, not for congestion. This study identifies an appropriate suite of measures, and quantifies and compares the congestion and reliability impacts of safety projects on roadways for the periods before, during, and after project execution. The paper presents the performance measures, examines their sensitivity based on operating conditions, defines thresholds for congestion and reliability, and demonstrates the measures using a set of Virginia safety projects. The data set consists of 10 projects totalling 92 mi and more than 1M data points. The study found that, overall, safety projects tended to have a positive impact on congestion and reliability after completion, and the congestion variability measures were sensitive to the threshold of reliability. The study concludes with practical recommendations for primary measures that may be used to measure overall impacts of safety projects: percent vehicle miles traveled (VMT) reliable with a customized threshold for Virginia; percent VMT delayed; and time to travel 10 mi. However, caution should be used when applying the results directly to other situations, because of the limited number of projects used in the study.

352 Feasibility of Hypnosis as Adjunctive Treatment for Subjective Sleep Disturbance: A Pilot Study and Proof of Concept

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A140-A141
Author(s):  
Emma Zhao ◽  
Afik Faerman ◽  
David Spiegel
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbances ◽  
Positive Impact ◽  
Self Report ◽  
Adjunctive Treatment ◽  
Current Evidence ◽  
Data Set ◽  
Sleep Complaints ◽  
Subjective Sleep ◽  
Before And After

Abstract Introduction Hypnosis-based interventions have been shown to have a positive impact on several dimensions of sleep health. However, current evidence is limited as only a paucity of studies included populations with sleep complaints. Here we present a pilot data set to demonstrate the feasibility of developing a hypnosis-based adjunctive treatment for subjective sleep complaints. Methods Eleven adults (42% female; mean age 45±16.87 years) who sought treatment at the Stanford Sleep Medicine Center or Center for Integrative Medicine for subjective sleep complaints received hypnosis as adjunctive treatment. Self-report questionnaires were used to assess the weekly frequency of subjective sleep disturbances experienced before and after treatment, as well as 5-point Likert scale ratings of perceived qualitative improvement in symptom severity and overall sleep quality. Results Five participants (45%) reported a reduction in symptom frequency and severity after hypnosis treatment. All five participants attributed at least some of the improvement to hypnosis treatment. Most participants (63%) observed post-treatment improvements in their overall sleep quality. No participants reported adverse effects of hypnosis. Conclusion Results suggest hypnosis-based adjunctive treatment may be effective for alleviating subjective sleep disturbances. The findings serve as preliminary support for further randomly controlled trials in larger samples. Support (if any):

Railroad Integration and Uneven Development on the European Periphery, 1870–1910

2021 ◽  
Vol 45 (2) ◽  
pp. 261-289
Author(s):  
Eduard J. Alvarez-Palau ◽  
Alfonso Díez-Minguela ◽  
Jordi Martí-Henneberg
Keyword(s):  
Economic Development ◽  
Positive Impact ◽  
Data Set ◽  
Per Capita Gdp ◽  
Catching Up ◽  
Nation States ◽  
Railroad Network ◽  
Per Capita ◽  
European Periphery ◽  
The Relationship

AbstractThis study explores the relationship between railroad integration and regional development on the European periphery between 1870 and 1910, based on a regional data set including 291 spatial units. Railroad integration is proxied by railroad density, while per capita GDP is used as an indicator of economic development. The period under study is of particular relevance as it has been associated with the second wave of railroad construction in Europe and also coincides with the industrialization of most of the continent. Overall, we found that railroads had a significant and positive impact on the growth of per capita GDP across Europe. The magnitude of this relationship appears to be relatively modest, but the results obtained are robust with respect to a number of different specifications. From a geographical perspective, we found that railroads had a significantly greater influence on regions located in countries on the northern periphery of Europe than in other outlying areas. They also helped the economies of these areas to begin the process of catching up with the continent’s industrialized core. In contrast, the regions on the southern periphery showed lower levels of economic growth, with this exacerbating the preexisting divergence in economic development. The expansion of the railroad network in them was unable to homogenize the diffusion of economic development and tended to further benefit the regions that were already industrialized. In most of the cases, the capital effect was magnified, and this contributed to the consolidation of newly created nation-states.

Association of Medication-Assisted Treatment and Age With Treatment Completion Among Veterans Seeking Non-VA Treatment for Opioid use Disorder at Non-Veterans Health Administration Facilities

2021 ◽  
Author(s):  
Joseph G Pickard ◽  
Carissa van den Berk-Clark ◽  
Monica M Matthieu
Keyword(s):  
Positive Impact ◽  
Treatment Completion ◽  
Armed Forces ◽  
Opioid Use Disorder ◽  
Prescription Opioid ◽  
Health Administration ◽  
Opioid Use ◽  
Data Set ◽  
Medication Assisted Treatment

ABSTRACT Background Medication-assisted treatment has been shown to be effective in treating opioid use disorder among both older adults and veterans of U.S. Armed Forces. However, limited evidence exists on MAT’s differential effect on treatment completion across age groups. This study aims to ascertain the role of MAT and age in treatment completion among veterans seeking treatment in non–Department of Veterans Affairs healthcare facilities for opioid use disorder. Methods We used the Treatment Episode Data Set—Discharges (TEDS-D; 2006-2017) to examine trends in treatment and MAT usage over time and TEDS-2017 to determine the role of age and MAT in treatment completion. We examined a subset of those who self-identified as veterans and who sought treatment for an opioid use disorder. Results Veterans presented in treatment more often as heroin users than prescription opioid users, and older veterans were more likely to get MAT than younger veterans. We found that before propensity score matching, MAT initially appeared to be associated with a lower likelihood of treatment completion in inpatient ($\beta $ = −1.47, 95% CI −1.56 to −1.39) and outpatient ($\beta $ = −1.40, 95% CI −2.21 to −0.58) settings, and age (50+ years) appeared to mediate the effect of MAT on treatment completion ($\beta $ = −0.54, 95% CI −0.87 to −0.21). After matching, older veterans were more likely to complete substance use disorder treatment ($\beta $ = 0.21, 95% CI 0.01-0.42), while age no longer mediated the effect of MAT, and MAT had a significant positive impact on treatment completion in detox settings ($\beta $ = 1.36, 95% CI 1.15-1.50) and inpatient settings ($\beta $ = 1.54, 95% CI 1.37 -1.71). Conclusion The results show that age plays an important role in outpatient treatment completion, while MAT plays an important role in inpatient treatment completion. Implications for veterans are discussed.

scholarly journals Policies, economic incentives and the adoption of modern irrigation technology in China

2015 ◽  
Vol 6 (2) ◽  
pp. 399-410 ◽  
Author(s):  
R. Cremades ◽  
J. Wang ◽  
J. Morris
Keyword(s):  
Agricultural Sector ◽  
Negative Impact ◽  
Positive Impact ◽  
Economic Incentives ◽  
Policy Implications ◽  
Irrigation Efficiency ◽  
Community Based ◽  
Data Set ◽  
Irrigation Technology ◽  
Governmental Support

Abstract. The challenges China faces in terms of water availability in the agricultural sector are exacerbated by the sector's low irrigation efficiency. To increase irrigation efficiency, promoting modern irrigation technology has been emphasized by policy makers in the country. The overall goal of this paper is to understand the effect of governmental support and economic incentives on the adoption of modern irrigation technology in China, with a focus on household-based irrigation technology and community-based irrigation technology. Based on a unique data set collected at household and village levels from seven provinces, the results indicated that household-based irrigation technology has become noticeable in almost every Chinese village. In contrast, only about half of Chinese villages have adopted community-based irrigation technology. Despite the relatively high adoption level of household-based irrigation technology at the village level, its actual adoption in crop sown areas was not high, even lower for community-based irrigation technology. The econometric analysis results revealed that governmental support instruments like subsidies and extension services policies have played an important role in promoting the adoption of modern irrigation technology. Strikingly, the present irrigation pricing policy has played a significant but contradictory role in promoting the adoption of different types of modern irrigation technology. Irrigation pricing showed a positive impact on household-based irrigation technology, and a negative impact on community-based irrigation technology, possibly related to the substitution effect that is, the higher rate of adoption of household-based irrigation technology leads to lower incentives for investment in community-based irrigation technology. The paper finally concludes and discusses some policy implications.

scholarly journals Ownership feature and firm performance via corporate innovation performance

2018 ◽  
Vol 25 (2) ◽  
pp. 239-250 ◽  
Author(s):  
Dung Nguyen ◽  
Hoai Nguyen ◽  
Kien S. Nguyen
Keyword(s):  
Firm Performance ◽  
Positive Impact ◽  
Policy Implications ◽  
Ownership Concentration ◽  
Likelihood Method ◽  
Sales Growth ◽  
Reverse Causality ◽  
Data Set ◽  
Content Type ◽  
Cmp Model

Purpose The purpose of this paper is to investigate the simultaneous relationship among ownership concentration, innovation and firm performance of the small- and medium-sized enterprises (SMEs) in Vietnam during the 2011–2015. By employing a Conditional Mixed Process (CMP) model, the findings show that: there is no impact of ownership concentration on innovation, but it has a positive impact on sales growth; innovation positively affects firm performance; and there exists a positively reverse causality from sales growth to innovation. Design/methodology/approach In this study, the authors propose the adaption of CMP model (Roodman, 2011). The nature of the first stage dependent variable – Innovation – is a binary one while the dependent variable Performance is continuous. Therefore, a model that can adapt the binary nature of the dependent variable and perform the estimation of a system of equations such as CMP model is preferred. The CMP framework is substantially that of seemingly unrelated regression, but with application in a larger scope. This approach is based on a “simulated maximum likelihood method” suggested by Geweke–Hajivassiliou–Keane algorithm. Findings By applying CMP method, this study examines the simultaneous relationship among ownership concentration, innovation and firm performance of the SMEs in Vietnam from 2011 to 2015. The findings indicate that: there is no impact of ownership concentration on innovation, but it has a positive impact on sales growth; innovation positively affects firm performance; and there exists a positively reverse causality from sales growth to innovation. Research limitations/implications In spite of the efforts to explore the simultaneous relationship among ownership concentration, innovation and firm performance of the SMEs in Vietnam, the study still has some limitations which are promising further research directions. First, the SME surveys by Central Institute for Economic Management do not have much information about other types of ownership including state-owned and foreign ownership. Therefore, possible further studies with richer data sets may explore the impacts of different types of ownership on firm innovation and performance. Second, other types of innovation such as organizational innovation, marketing innovation can also be investigated in further studies in a richer data set for the case of Vietnam SMEs. Originality/value The findings show that: there is no impact of ownership concentration on innovation, but it has a positive impact on sales growth; innovation positively affects firm performance; and there exists a positively reverse causality from sales growth to innovation. The policy implications insist on facilitating SMEs with easier access to capital via loans with preferred interest or trust loans without collateral, training programs for the labor force and SME leaders, and reduction of unnecessary administrative procedure.

Capital and credit constraints in the engagement of youth in Ghanaian agriculture

2019 ◽  
Vol 80 (1) ◽  
pp. 22-37 ◽  
Author(s):  
Martinson Ankrah Twumasi ◽  
Yuansheng Jiang ◽  
Monica Owusu Acheampong
Keyword(s):  
Positive Impact ◽  
Credit Constraints ◽  
Rural Youth ◽  
Unique Contribution ◽  
Switching Regression ◽  
Credit Constraint ◽  
Data Set ◽  
Content Type ◽  
Application Procedure ◽  
The Impact

Purpose The purpose of this paper is to determine the factors influencing rural youth farmers’ credit constraints status and the effect of credit constraint on the intensity of participation of these farmers in Ghana. Design/methodology/approach The econometric estimation is based on cross-sectional data collected in 2018 from the Brong Ahafo region in Ghana. The sample data set consists of 450 rural youth farmers. The collected data were analyzed through different econometric techniques, using the endogenous switching regression model (ERSM). Findings The direct elicitation approach employed in this study revealed that out of the 450 farmers, 211 (47 percent) of the respondents were credit constrained compared to 239 (53 percent) of their counterparts who were unconstrained. The ERSM indicated that youth farmers education, age, savings, parents occupation reduced the probability of the rural youth farmer to be credit constrained but cumbersome loan application procedure and loan disbursement time positively affect credit constraint. Moreover, farmers that are credit constrained have lower intensity of participation in agriculture activities than a random farmer from the sample. This suggests that access to credit has a positive impact on the intensity of participation in agriculture activities. Research limitations/implications In this study, only rural youth farmers in a particular region were considered. However, there are youths all over the nation. Therefore, future researchers could consider other youth’s farmers elsewhere in the country. Originality/value Although existing studies have examined rural youth farmers’ participation in agriculture and credit constraint separately, the unique contribution of this paper is the analysis of credit constraint of rural youth farmers as well as the impact of credit constraint on the intensity of participation in agriculture activities.

scholarly journals Economics of ornamental fish farming industry in Madurai District, Tamil Nadu

2017 ◽  
Vol 64 ◽  
Author(s):  
T. Umamaheswari ◽  
M. Rajakumar ◽  
P. Chidambaram
Keyword(s):  
Tamil Nadu ◽  
Sampling Technique ◽  
Fish Farming ◽  
Ornamental Fish ◽  
Expected Profit ◽  
Profit Margin ◽  
Fish Farms ◽  
The Cost ◽  
Farming Industry ◽  
Ranking Technique

India has enormous potential for the development of ornamental fish business. Although the country has conducive environmental conditions for breeding and culture of ornamental fishes, its share in export of ornamental fishes is less than 1%. The present study was undertaken to address the constraints prevailing in ornamental fish farming. Study was carried out among 44 ornamental fish farms in Madurai District, Tamil Nadu by adopting random sampling technique. The selected farms were classified into small (<0.5 ha) and medium farms (0.5-2 ha) and the data were collected by personally interviewing the fish farmers. The study attempted to analyse the socio-economic characteristics of respondents, existing supply chain, constraints involved in ornamental fish farming, annual revenue loss due to major constraints, treatment cost and expected profit margin. Various constraints were classified as production, marketing and others and were ranked using Garrett ranking technique. Tabular and percentage analyses were used to estimate the cost of treatment, revenue loss and expected profit margin. Four types of marketing channels were observed in the study area. Disease outbreak was found to be the major constraint faced by the farmers and hence, the revenue loss was estimated for the same. The annual revenue loss was found to be higher for the small ornamental units when compared to medium farms, which showed higher profit margin than small ornamental fish farms.

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