scholarly journals The Spatial Patterns of Dairy Farming In Molise

2017 ◽  
Vol 9 (4) ◽  
pp. 729-745 ◽  
Author(s):  
Corrado Ievoli ◽  
Roberto Giovanni Basile ◽  
Angelo Belliggiano
Keyword(s):  
Milk Production ◽  
Market Potential ◽  
Policy Framework ◽  
Factor Endowment ◽  
Endogenous Factors ◽  
Agglomeration Externalities ◽  
Spatial Level ◽  
Spatial Autoregressive ◽  
Regional Localisation ◽  
The Impact

Abstract The greater market orientation of European dairy production, caused by the end of quota regime, is likely to have consequences on less favoured areas, where breeding of dairy cattle plays both a crucial socio-economic and environmental role. Within this new framework, endogenous factors determining spatial reorganisation of the sector are becoming of increasing relevance. Based on these considerations, this study analyses the impact of the three broader classes of location determinants suggested by economic theory - factor endowment, market potential, and spatial agglomeration externalities - on the spatial pattern of milk production in Molise, a rural region in the south of Italy. Milk production is measured in term of dairy cows per hectare. The truncated distribution of this variable and its high degree of spatial autocorrelation prompted us to apply a Spatial Autoregressive Tobit model. Estimation results reveal that all three categories have a positive effect on the location of milk production, even if the influence of factor endowment (intended as forage area), and market potential (measured in term of proximity of dairy companies) is quite limited. On the contrary, the impact of spatial externalities (related variety) on the regional localisation of milk production is strongly significant. These results cast some doubts on the current measures of intervention and might suggest a new policy framework both at firm and spatial level

Economics of respiratory disease in dairy replacement heifers

2020 ◽  
Vol 21 (2) ◽  
pp. 143-148
Author(s):  
Michael W. Overton
Keyword(s):  
Respiratory Disease ◽  
Milk Production ◽  
Incident Case ◽  
Data Set ◽  
Dairy Heifers ◽  
The Usa ◽  
History Of ◽  
On Farm ◽  
The Impact ◽  
Selective Culling

AbstractBovine respiratory disease (BRD) is a frequent disease concern in dairy cattle and is most commonly diagnosed in young dairy heifers. The impact of BRD is highly variable, depending on the accuracy and completeness of detection, effectiveness of treatment, and on-farm culling practices. Consequences include decreased rate of weight gain, a higher culling risk either as heifers or as cows, delayed age at first service, delayed age at first calving, and in some cases, lower future milk production. In this data set of 104,100 dairy replacement heifers from across the USA, 36.6% had one or more cases diagnosed within the first 120 days of age with the highest risk of new cases occurring prior to weaning. Comparison of the raising cost for heifers with BRD and those without a recorded history of BRD resulted in an estimated cost per incident case occurring in the first 120 days of age of $252 or $282, depending upon whether anticipated future milk production differences were considered or not. Current market conditions contributed to a cost estimate that is significantly higher than previously published estimates, driven in part by the losses associated with selective culling of a subset of heifers that experienced BRD.

scholarly journals Firm’s strategic choices and network knowledge dynamics: how do they affect innovation?

2018 ◽  
Vol 22 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Jose Antonio Belso-Martinez ◽  
Isabel Diez-Vial
Keyword(s):  
Absorptive Capacity ◽  
Knowledge Networks ◽  
Knowledge Network ◽  
Strategic Choices ◽  
Network Growth ◽  
Content Type ◽  
Endogenous Factors ◽  
The Impact ◽  
Innovative Capacity ◽  
Over Time

Purpose This paper aims to explain how the evolution of knowledge networks and firms’ strategic choices affect innovation. Endogenous factors associated with a path-dependent evolution of the knowledge network are jointly considered with a firm’s development of international relationships and increasing internal absorptive capacity over time. Design/methodology/approach In a biotech cluster, the authors gathered data on the firms’ characteristics and network relationships by asking about the technological knowledge they received in the cluster in 2007 and 2012 – “roster-recall” method. Estimation results were obtained using moderated regression analysis. Findings Firms that increase their involvement in knowledge networks over time also tend to increase their innovative capacity. However, efforts devoted to building international links or absorptive capacity negatively moderate the impact of network growth on innovation. Practical implications Practitioners have two alternative ways of increasing innovation inside knowledge networks: they can increase their centrality by developing their knowledge network interactions or invest in developing their internal absorptive capacity and new international sources of knowledge. Investing in both of these simultaneously does not seem to improve a firm’s innovative capacity. Originality/value Coupling firms’ strategic options with knowledge network dynamics provide a more complete way of explaining how firms can improve their innovative capacity.

scholarly journals Understanding the seasonality of performance resilience to climate volatility in Mediterranean dairy sheep

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Valentina Tsartsianidou ◽  
Vanessa Varvara Kapsona ◽  
Enrique Sánchez-Molano ◽  
Zoitsa Basdagianni ◽  
Maria Jesús Carabaño ◽  
...  
Keyword(s):  
Genetic Control ◽  
Milk Production ◽  
Eastern Mediterranean ◽  
Meteorological Data ◽  
Genetic Correlations ◽  
Farm Animals ◽  
Seasonal Effects ◽  
Cold Weather ◽  
Adverse Weather ◽  
The Impact

AbstractAs future climate challenges become increasingly evident, enhancing performance resilience of farm animals may contribute to mitigation against adverse weather and seasonal variation, and underpin livestock farming sustainability. In the present study, we develop novel seasonal resilience phenotypes reflecting milk production changes to fluctuating weather. We evaluate the impact of calendar season (autumn, winter and spring) on animal performance resilience by analysing 420,534 milk records of 36,908 milking ewes of the Chios breed together with relevant meteorological data from eastern Mediterranean. We reveal substantial seasonal effects on resilience and significant heritable trait variation (h2 = 0.03–0.17). Resilience to cold weather (10 °C) of animals that start producing milk in spring was under different genetic control compared to autumn and winter as exemplified by negative genetic correlations (− 0.09 to − 0.27). Animal resilience to hot weather (25 °C) was partially under the same genetic control with genetic correlations between seasons ranging from 0.43 to 0.86. We report both favourable and antagonistic associations between animal resilience and lifetime milk production, depending on calendar season and the desirable direction of genetic selection. Concluding, we emphasise on seasonal adaptation of animals to climate and the need to incorporate the novel seasonal traits in future selective breeding programmes.

scholarly journals Grocery Retailing in India: Online Mode versus Retail Store Purchase

2016 ◽  
Vol 9 (5) ◽  
pp. 180
Author(s):  
Masood H Siddiqui ◽  
Shalini N Tripathi
Keyword(s):  
Risk Perceptions ◽  
Binary Logistic Regression ◽  
Market Potential ◽  
Value For Money ◽  
Online Mode ◽  
Grocery Retailing ◽  
Brick And Mortar ◽  
Grocery Purchase ◽  
Mode Versus ◽  
The Impact

<p>E-retailing is entering into the Indian retail scenario in a noticeable way and online grocery retailing holds a promise of acceptance by the Indian customers. This paper attempts to discover the market potential of online grocery retailing in India and consumers’ perception towards its different aspects. Confirmatory factor analysis proposes that there are five underlying dimensions (<em>convenience</em>, <em>value for money</em>, <em>variety</em>, <em>loyalty</em> and <em>ambient factors</em>) governing the selection of mode for grocery purchase. Thereafter Binary-Logistic Regression has been employed to analyze the impact of these five broad perceptual dimensions upon the acceptance/rejection of online grocery retailing. The respondents accorded the highest importance to the factors <em>value for money</em> and <em>convenience</em>. The study suggested that issues like meeting customer expectations and preferences in terms of delivering value for money, quick and convenient purchasing, smooth delivery process, and reducing risk perceptions are critical for establishing online grocery retailing as an effective alternative to traditional brick and mortar retailing.</p>

Examining the Association Between Massage Parlors and Neighborhood Crime

2018 ◽  
Vol 65 (11) ◽  
pp. 1537-1569 ◽  
Author(s):  
Jessica Huff ◽  
Danielle Wallace ◽  
Courtney Riggs ◽  
Charles M. Katz ◽  
David Choate
Keyword(s):  
Management System ◽  
Autoregressive Models ◽  
Physical Disorder ◽  
Record Management ◽  
Social Disorder ◽  
Neighborhood Crime ◽  
Spatial Autoregressive ◽  
Spatial Autoregressive Models ◽  
The Impact ◽  
User Review

Although massage parlors have been associated with illicit activities including prostitution, less is known about their association with neighborhood crime. Employing the Computer Automated Dispatch/Record Management System (CAD/RMS), online user review, licensing, Census, and zoning data, we examine the impact of massage parlors on crime in their surrounding neighborhoods. Using spatial autoregressive models, our results indicate the total number of massage parlors was associated with increased social disorder. The presence of illicit massage parlors in adjacent neighborhoods was associated with crime and physical disorder in the focal neighborhoods. This study has consequences for how police address crime associated with massage parlors. Specifically, the use of online user review forums could be an effective way to identify illicit massage parlors. Recommendations for policing and code enforcement are discussed.

scholarly journals Effect of Money Supply on the Stock Market

2017 ◽  
Vol 65 (2) ◽  
pp. 465-472 ◽  
Author(s):  
Vladimír Pícha
Keyword(s):  
Monetary Policy ◽  
Stock Market ◽  
Money Supply ◽  
Policy Framework ◽  
Vector Error Correction ◽  
Flow Of Funds ◽  
Portfolio Balance ◽  
Vector Error ◽  
Long Run ◽  
The Impact

This paper observes effect of money supply on the stock market through the portfolio balance channel as a transmission mechanism of monetary policy. National flow of funds accounts, specifically assets from US households’ portfolios, represent a key data source. Johansen’s cointegration methodology is employed in the empirical part of the paper to analyze both short term and long term relationships among researched variables. Estimates of vector error correction model help to reliably quantify intensity of the effect. Results show money supply excercises influence on valuation of S&P 500 index with 6 months lag. The impact is also distinguishable in the long run, whereas all observed asset classes can positively influence price of S&P 500. Findings are then contextualized in the concluding part of the paper using a monetary policy framework.

scholarly journals Who are We, and Who (or What) Do We Want to Become? An Evolutionary Perspective on Biotransformative Technologies

2021 ◽  
Author(s):  
James Lyons-Weiler
Keyword(s):  
Human Evolution ◽  
Adaptive Landscape ◽  
Endogenous Factors ◽  
Theoretical Contribution ◽  
Organic Evolution ◽  
Adaptive Landscapes ◽  
Augmented Cognition ◽  
Language Writing ◽  
Cognitive Plasticity ◽  
The Impact

AbstractHuman evolution sits at several important thresholds. In organic evolution, interplay between exogenous environmental and genetic factors rendered new phenotypes at rates limited by genetic variation. The interplay took place on adaptive fitness landscapes determined by correspondence of genetic and environmental relationships. Human evolution involved important emergences that altered the adaptive landscape: language, writing, organized societies, science, and the internet. These endogenous factors ushered in transformative periods leading to more rapidly evolving emergences. I explore the impact of development of emerging biotransformative technologies capable of being applied to effect self-genetic modification and artificial intelligence-augmented cognition on the evolutionary landscape of phenotypes important to cognitive plasticity. Interaction effects will yield unanticipated emergences resulting in hyperrealm adaptive landscapes with more rapid evolutionary processes that feed back upon more fundamental levels while vastly outpacing organic evolution. Emerging technologies exist that are likely to impact the evolution of cognitive plasticity in humans in ways and at rates that will lead to societal upheaval. I show that the theoretical contribution of organic evolution in future human evolution is expected to become comparatively insignificant relative to that made by endogenous environmental factors such as external cognition aids and manipulation of the human genome. The results support the conclusion of a strong recommendation of a moratorium on the adoption of any technology capable of completely altering the course of human evolution.

scholarly journals Agglomeration Externalities and Sectoral Employment Growth in Cities

2016 ◽  
Vol 5 (2) ◽  
pp. 1-15
Author(s):  
Ayse Saime Doner
Keyword(s):  
Employment Growth ◽  
Initial Level ◽  
Regional Growth ◽  
Economic Activities ◽  
Employment Level ◽  
Regional Employment ◽  
Agglomeration Externalities ◽  
Positive Effects ◽  
Economic Development And Growth ◽  
The Impact

Firms benefit some external effects resulting from the concentration of economic activities in certain regions. These effects called “agglomeration economies” or “agglomeration externalities” are mainly divided into three categories – MAR, Jacobs and Porter externalities –, and regarded as the determinant factors of regional economic development and growth. This study analyzes the impact of agglomeration externalities on employment growth using Turkish data of 43 sectors operating in 81 Turkish cities between years 2001 and 2007. OLS regression analyses are repeated for each sector. As far as the MAR externalities are concerned, their impact on employment growth is found negative in 23 sectors while Jacobs externalities have significant and positive effects only on 4 sectors, most of which are from service sectors. As for Porter externalities, they prove to have positive effect on the regional employment growth for 16 sectors. Moreover, urbanization externalities are found to affect the regional growth positively in 4 sectors and negatively in 1 sector. While the impact of the initial level of regional labor supply is found positive, the initial level of regional employment level has negative effect on employment growth. Finally, the share of high education level in cities is found to have almost no effect on regional growth.

scholarly journals 110 Managing Feed Efficiency to Improve Dairy Farm Margin

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 20-20
Author(s):  
Micheal J Brouk
Keyword(s):  
Milk Production ◽  
Production Cost ◽  
Dairy Farm ◽  
Animal Reproduction ◽  
High Feed ◽  
Efficiency Factors ◽  
Feed Costs ◽  
The Cost ◽  
The Impact ◽  
Made In

Abstract Dairy farm margin has continued to be a challenge for the dairy industry. Several years of challenging milk prices with limited relief from high feed costs and increasing production cost have continued to erode the net margin of US dairy farms. As dairy producers continue to operate in a challenging economic environment, discoveries are being made in various farm efficiencies to improve farm margin. Increased management intensity on all aspects of the dairy farm is resulting in the discover of and improvement of many individual efficiency factors. Key areas of economic efficiency include feed, animal reproduction, replacement animals, labor and resource allocation. Often the answer to improved efficiency involves more than just reduced production cost, but also in the improvement of production to reduce the cost per unit of milk produced. Identifying and focusing on the important factors that can improve overall farm efficiency will enable producers to weather the economic challenges. For dairy producers, one of the complications is the biology of the dairy cow and understanding how to utilize the biology correctly for improved efficiency of milk production. Improved efficiency of milk production requires attention to details in many areas of the dairy. Identifying the correct areas of deficiencies, establishing corrective plans of action and then careful evaluation of the impact of changes are all key to the overall success of improving dairy farm margins and efficiencies.

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