Employee Welfare Measures

The welfare measures for employees in an organization have always and will keep playing a pivotal role in enhancing the morale of the employees. These schemes facilitate thrust for both the employee and employer relations. An employee's welfare is inherent core component, as they act as life blood for achieving the objectives of an organization. The main intention behind implementing the welfare measures is to secure the employee force by providing proper human condition of work and minimizing its hazardous effect on the life of the employees and their family members. This chapter determines the various welfare measures implemented with its impact on the employees' work efficacy in different public and private sector manufacturing organizations. This chapter also articulates the importance of welfare, symptoms of frustration, standards set by the employees, implications of welfare measures and its effectiveness on employees' and the organizational productivity.

Simon Kuznets’s Happy Prognosis Crushed in an Ideological Coup

In 1955, economist Simon Kuznets suggested that, while inequality increases during early economic development, in later stages it declines. However, this felicitous hypothesis has been contradicted by inequality’s explosion since the 1970s. This explosion was energized by President Ronald Reagan’s declaration in 1981 that “government is the problem.” Turning popular sentiment against government was an ideological coup, because only government policies can decrease inequality. Government was not reduced in size or in its intervention into the workings of the economy, but policies shifted radically in favor of the wealthy. Taxes were cut for the rich, the economy was significantly deregulated, and welfare measures were trimmed. This chapter unfolds the dynamics that enabled laissez-faire ideology to revive and become more entrenched than ever before. It clarifies how this ideology managed to survive the Great Recession following the financial crisis of 2008, during and after which inequality has continued to explode.

An assessment of government measures in combatting COVID-19 using ISM and DEMATEL modelling

PurposeThe purpose of this paper is to evaluate the interplay of various measures used by different governments around the world in combatting COVID-19.Design/methodology/approachThe research uses the interpretative structural modelling (ISM) for assessing the powerful measures amongst the recognized ones, whereas to establish the cause-and-effect relations amongst the variables, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used. Both approaches utilized in the study aid in the comprehension of the relationship amongst the assessed measures.FindingsAccording to the ISM model, international support measures have the most important role in reducing the risk of COVID-19. There has also been a suggestion of a relationship between economic and risk measures. Surprisingly, no linkage factor (unstable one) was reported in the research. The study indicates social welfare measures, R&D measures, centralized power and decentralized governance measures and universal healthcare measures as independent factors. The DEMATEL analysis reveals that the net causes are social welfare measures, centralized power and decentralized government, universal health coverage measure and R&D measures, while the net effects are economic measures, green recovery measures, risk measures and international support measures.Originality/valueThe study includes a list of numerous government measures deployed throughout the world to mitigate the risk of COVID-19, as well as the structural links amongst the identified government measures. The Matrice d'Impacts croises-multiplication applique and classment analysis can help the policymakers in understanding measures used in combatting COVID-19 based on their driving and dependence power. These insights may assist them in employing these measures for mitigating the risks associated with COVID-19 or any other similar pandemic situation in the future.

Workers’ Welfare and Safety Measures in Sri Vellingiri Andavar Ceramics, Erode

Worker is considered as an important asset for organizations. Thus it becomes important that every area related with the employees right since their recruitment to resignation is equally taken care of by the management. This study attempt to focus and analyze various workers safety and welfare measures provided at Sri Vellingiri Andavar Ceramics, Erode and to as certain if they are being implemented effectively. Welfare and safety measures have a way both for satisfaction and motivation among workers. Thus it’s important to implement proper security and welfare measures in the organization for ultimate satisfaction of workers. For the purpose of study a structured questionnaire was given to the employees. Percentage analysis, weighted average and chi- square are used to analyze the data collected. It is observed that the safety and welfare measures are being implemented effectively. The safety measures are being implemented effectively in the factory areas and especially while working with machines. Welfare measures also provide build-up stable workers force and promotes better working environment. The workers prefer to have few additions in the list of welfare measures provided by the organization.

Assessment of Meat-Type Sheep Welfare Using Animal-Based Measures

This study aimed to assess the welfare of Tunisian sheep in extensive sheep production systems using animal-based measures of ewe welfare. This study encompasses the first national survey of sheep welfare in which animal-based outcomes were tested. Animal-based welfare measures were derived from previous welfare protocols. Fifty-two Tunisian farms were studied and a number from 20 to 100 animals by flock were examinated. The whole flock was also observed to detect clinical diseases, lameness, and coughing. The human-animal relationship was selected as welfare indicators. It was evaluated through the avoidance distance test. The average avoidance distance was 10.47 ± 1.23 and 8.12 ± 0.97 m for a novel person and farmer, respectively. The global mean of body condition score (BCS) was 2.4 with 47% of ewes having a BCS of two, which may be associated with an increased risk of nutritional stress, disease, and low productivity. Ten farms had more than 7% of lambs with a low body condition score, which may be an indication of a welfare problem. The results obtained in the present study suggest that the used animal-based measures were the most reliable indicators that can be included in welfare protocols for extensive sheep production systems.

Aircraft Dispute, Wine, and the US–EU Trade War: Implications for US Consumers and Wine Suppliers

This paper estimates changes in demand for imported wines by source country and resulting welfare effects due to Section 301 tariffs imposed on certain European wines in October 2019. A two-stage expenditure allocation scheme is used to estimate the import demand for red, white, and other wines in the first stage, and source-differentiated red wine and white wine demand in the second stage. From derived price elasticities measuring first and second stage interactions, welfare measures are simulated capturing effects of the new tariffs on both taxed and non-taxed exporters as well as the US importers of red and white wine.

Preventive Hoof Trimming and Animal-Based Welfare Measures Influence the Time to First Lameness Event and Hoof Lesion Prevalence in Dairy Cows

Background: The objectives of this study were to, (1) investigate the impact of the Dutch five-step hoof trimming (HT) technique on time to lameness and hoof lesion prevalence in grazing (GR) and non-grazing (NGR) dairy cows, and (2) determine the association between potential benefits of HT and animal-based welfare measures during lactation. A total of 520 non-lame cows without hoof lesions from 5 dairy farms (GR = 2, NGR = 3) were enrolled at early (within 30 days in milk; DIM) and late lactation (above 200 DIM), and randomly allocated to either trimmed (HGR or HNGR) or control groups (CON-GR and CON-NGR). Locomotion scores, body condition, hock condition, leg hygiene, and hoof health were assessed at monthly intervals until the following 270 days in milk. The data were analyzed using Kaplan-Meier survival analysis, multivariable Cox, and logistic regression models. The overall incidence rate of lameness was 36.2 cases/100 cows/month, with corresponding rates of 27.4, 31.9, 48.4, and 45.8 cases/100 cows/month in HGR, HNGR, CON-GR, and CON-NGR, respectively. Time to first lameness event was significantly higher in HGR (mean ± S.E; 8.12 ± 0.15) compared to CON-GR (7.36 ± 0.26), and in HNGR (8.05 ± 0.16) compared to CON-NGR (7.39 ± 0.23). The prevalence of hoof lesions in the enrolled cows was 36.9%, with a higher occurrence in CON-GR (48.8%) than HGR (23.2%), and in CON-NGR (52.6%) compared to HNGR (32.2%). The majority of hoof lesions were non-infectious in grazing (HGR vs. CON-GR; 21.3 vs. 33.3%) and non-grazing herds (HNGR vs. CON-NGR; 25.0 vs. 40.4%). The risk of lameness was higher in underconditioned cows (Hazard ratio; HR = 3.1, 95% CI 1.2–7.4), presence of hoof lesion (HR = 33.1, 95% CI 17.6–62.5), and there was variation between farms. Aside HT, lower parity (OR = 0.4, 95% CI 0.2–0.8), normal hock condition (OR = 0.06; 95% 0.01–0.29), and absence of overgrown hoof (OR = 0.4; 95% 0.2–0.7) were protective against non-infectious hoof lesions. Functional HT is beneficial as a lameness preventive strategy during lactation; however, ensuring older cows are in good body condition and free from hock injuries are equally important.

Welfare Guarantees in Schelling Segregation

Schelling’s model is an influential model that reveals how individual perceptions and incentives can lead to residential segregation. Inspired by a recent stream of work, we study welfare guarantees and complexity in this model with respect to several welfare measures. First, we show that while maximizing the social welfare is NP-hard, computing an assignment of agents to the nodes of any topology graph with approximately half of the maximum welfare can be done in polynomial time. We then consider Pareto optimality, introduce two new optimality notions based on it, and establish mostly tight bounds on the worst-case welfare loss for assignments satisfying these notions as well as the complexity of computing such assignments. In addition, we show that for tree topologies, it is possible to decide whether there exists an assignment that gives every agent a positive utility in polynomial time; moreover, when every node in the topology has degree at least 2, such an assignment always exists and can be found efficiently.

Using Expert Elicitation to Abridge the Welfare Quality® Protocol for Monitoring the Most Adverse Dairy Cattle Welfare Impairments

The Welfare Quality® consortium has developed and proposed standard protocols for monitoring farm animal welfare. The uptake of the dairy cattle protocol has been below expectation, however, and it has been criticized for the variable quality of the welfare measures and for a limited number of measures having a disproportionally large effect on the integrated welfare categorization. Aiming for a wide uptake by the milk industry, we revised and simplified the Welfare Quality® protocol into a user-friendly tool for cost- and time-efficient on-farm monitoring of dairy cattle welfare with a minimal number of key animal-based measures that are aggregated into a continuous (and thus discriminative) welfare index (WI). The inevitable subjective decisions were based upon expert opinion, as considerable expertise about cattle welfare issues and about the interpretation, importance, and validity of the welfare measures was deemed essential. The WI is calculated as the sum of the severity score (i.e., how severely a welfare problem affects cow welfare) multiplied with the herd prevalence for each measure. The selection of measures (lameness, leanness, mortality, hairless patches, lesions/swellings, somatic cell count) and their severity scores were based on expert surveys (14–17 trained users of the Welfare Quality® cattle protocol). The prevalence of these welfare measures was assessed in 491 European herds. Experts allocated a welfare score (from 0 to 100) to 12 focus herds for which the prevalence of each welfare measure was benchmarked against all 491 herds. Quadratic models indicated a high correspondence between these subjective scores and the WI (R2 = 0.91). The WI allows both numerical (0–100) as a qualitative (“not classified” to “excellent”) evaluation of welfare. Although it is sensitive to those welfare issues that most adversely affect cattle welfare (as identified by EFSA), the WI should be accompanied with a disclaimer that lists adverse or favorable effects that cannot be detected adequately by the current selection of measures.