The responsibility for performing civil service of the local civil servants in Vietnam

The study was carried out by qualitative method through collecting secondary data, combined with quantitative method through surveying opinions of 450 managers of 250 representative commune-level government agencies for three regions of the country. Research results have confirmed: Attitude to serve the people (ASP) plays the most important role and has the strongest influence on the responsibilities for performing civil service of civil servants; Next is work responsibility (WR) and work consciousness (WC). From the results of this study, the author suggests some contents that need to be researched and adjusted for managers to improve the quality of local civil servants to meet the requirements of serving the people.

Impacts of Environmental Regulations on Tourism Carbon Emissions

This research analyzed the impact of environmental regulations and their power in suppressing tourism carbon emissions. The results showed that: (1) four types of environmental regulations had significant inhibiting effects on tourism carbon emissions, but different types of regulations had varying effects; and (2) environmental regulations had a significant time lag effect on tourism carbon emissions. The decay rates of the environmental regulation effects were dissimilar for supervisory management, market incentives, command and control, and public participation; and (3) environmental regulations had dissimilar influences on tourism carbon emissions at the regional level. Government agencies should choose differentiated environmental regulation tools, attach great importance to the time-lag effect of environmental regulations on tourism carbon emissions, and establish systems and mechanisms of public participation in environmental matters.

Government disclosure in influencing people’s behaviors during a public health emergency

We shed light on the importance of government disclosure in public emergency management. During the outbreak of COVID-19, provinces in China entered a government disclosure regime, which mandated the disclosure of the number of people infected with the virus on a daily basis. Each province also voluntarily disclosed its own virus situation. We find that various forms of province-level government disclosure generally reduced the number of trips made by the infected and sped up their diagnosis. They also raised attention paid to the virus and self-protection awareness as well as reduced mobility among the susceptible. Finally, government voluntary disclosure helped to reduce the duration of local epidemics. We conclude that government disclosure can be effective in instilling the correct human behaviors that are conducive to fighting the pandemic.

Assessment of Temporal Distribution of Noise Pollution in Delhi using ArcGIS

Noise pollution affects day-to-day life both mentally and physically. Hence, it’s a growing problem in every major city of the world. Many diseases have been proven to be associated directly with rise in noise level. To combat the noise level government agencies have laid down certain guidelines which suggest noise level in different location to be in prescribed limits. These noise limits is different for different land-use pattern and also different for different timings also. Daytime generally experiences more noise level than night time in almost all the locations. In present study, noise level of a particular day of 24 hr is taken from 26 locations. These noise levels are used to construct noise map in ArcGIS for Delhi for both daytime ad night time. These noise maps are used to present a comparative study of noise pollution between daytime and night time. Research Study suggest that in the daytime most of the area of Delhi experiences 55-60 dB noise level while in the night time it is experienced that most of the location in Delhi, noise level is 50-55 dB.

Development of forecast information for institutional decision-makers: landslides in India and cyclones in Mozambique

There remains a gap between the production of scientifically robust forecasts, and the translation of these forecasts into useful information such as daily "bulletins" for decision-makers in early warning systems. There is significant published literature on best practice to communicate risk information, but very little to guide and provide advice on the process of how these bulletins have been, or should be, developed. This paper reviews two case studies where bulletins were developed for national and district-level government agencies and humanitarian responders: daily reports in response to Cyclones Idai and Kenneth in Mozambique, and prototype landslide forecast bulletins in Nilgiris and Darjeeling Districts of India. Primary data was collected from producers and intermediaries of the bulletins via interview, and secondary data analysed on: iterative changes in the bulletin development; minutes from internal discussions; and feedback from users to extract learning on both the content and process of developing the bulletins. There were significant similarities in the type of content included in the bulletins, such as the layout, choice of words, and use of visualisation that was consistent with published best practices. Both case studies experienced challenges dealing with uncertainty, complexity, and whether to include advice. There were also similarities in the processes and approaches taken to develop the bulletins. Both case studies took an iterative approach, developed feedback mechanisms, benefitted from experienced multi-disciplinary teams, emphasised the need for strong inter-relationships, and the importance and value of preparedness and protocols. A major challenge was the difficulty of balancing science capabilities with user needs, which did not become significantly easier to deal with given more time availability. The findings indicate that whilst more research is needed into existing or best practice processes to develop content for forecast bulletins, there is an existing body of experiential and intuitive knowledge and learning that already exists but is not yet captured in an appropriate format that could be of significant interest and value to those developing forecast information. This paper goes some way to capturing some of the learning from translating scientific forecasts into useful information, in particular on both the content and the process of developing forecast bulletins for decision-making.

European Parliament

The European Parliament is an extraordinary legislature due to its multinational nature, and its mixed internal legislative organization. Members of the European Parliament (MEPs) are subject to mixed incentives: they have to heed both national and European Party Groups’ (EPGs) leaderships, but also have significant opportunities for individual floor access. The chapter uses speech counts from 1999 to 2019, scraped from the EP official website. The analysis finds that frontbench domination of speeches is not constant and has weakened over time. Changes in internal procedure appear to be an important explanatory factor, while member states’ electoral systems do not seem to play a role in explaining frontbench domination patterns. The study also finds that EU-level government–opposition dynamics do not play a role, while ideological extremism does explain speechmaking patterns. In terms of individual level determinants of legislative speech, senior MEPs are granted more floor time, while there is no difference between male and female MEPs in their debate participation rates.

Profile of dermatology inpatients and admissions over a four year period in a tertiary level government teaching hospital in North India

Background: Although dermatology is mostly an outpatient specialty, some patients with severe skin disease need hospital admission for management. There is a paucity of data regarding the profile of these dermatology in-patient admissions. Aims: We studied the profile of patients admitted to the dermatology ward of our tertiary care government hospital in North India. Methods: This was a retrospective analysis of discharge sheets of patients admitted in the dermatology ward from January 1, 2014 to December 31, 2017. Results: Discharge sheets of 2032 admissions for 1664 patients were analyzed. The most common diagnoses in the admitted patients were immunobullous disorders (576, 28%), connective tissue diseases (409, 20%), infections, including leprosy and sexually transmitted infections (179, 8.8%), psoriasis (153, 7.5%) and reactive arthritis (92, 4.5%). The mean duration of admission was 13.95±11.67 days (range 1-118 days). Two hundred and fifty-six patients (15.38%) were re-admitted, accounting for 368 (18.11%) re-admissions. Patients with immunobullous disorders (OR 1.72, 95% CI 1.29-2.28) and psoriasis (OR 1.62, 95% CI 1.02-2.55) were more likely to be re-admitted. Adult patients, those who were admitted for more than four weeks, those who had comorbidities, and those who developed a complication during the hospital stay also had a greater likelihood of being re-admitted. Limitations: The retrospective design of the study, and the non-availability of data regarding transfers to other specialties or intensive care units and deaths were the main limitations of this study. Conclusion: This study describes the profile of patients admitted in a dermatology ward of a tertiary care centre center in North India. The patient profile and admission characteristics associated with a higher probability of re-admission were identified.

Public Expenditure and Inflation in Nigeria

This paper empirically examined the effect of public expenditure on inflation in Nigeria in Nigeria from 1981 to 2018. The study adopts descriptive statistics, Co-integration and Error Correction Mechanism techniques for the analysis. The data for the empirical analysis were sourced from secondary sources like CBN Statistical Bulletin. The results of analysis indicated that a long run relationship exists among the variables. Furthermore, the paper revealed that government expenditure on transport and communication (XTCM) has a positive but insignificant relationship with inflation (CPI) at 5 percent level; government expenditure on defense (XDFS) is positive and an insignificant effect on inflation (CPI) in Nigeria; government expenditure on agriculture (XAGR) is negative and an insignificant effect on inflation (CPI) in Nigeria; government expenditure on education (XEDU) is positive and an insignificant effect on inflation (CPI) in Nigeria and government expenditure on health (XHLT) is negative and an insignificant effect on inflation (CPI) in Nigeria. Based on the above findings, the paper recommends as follows: Government should be effective in channeling public funds to productive economic activities, which will enhance price stability in Nigeria. Also, government consumption spending should be well coordinated by all arms of government to prevent “Crowd out” effect on government investment.

DOES CORPORATE SOCIAL RESPONSIBILITY REDUCE INFORMATION ASYMMETRY?: EMPIRICAL EVIDENCE FROM PAKISTAN

Purpose: The work empirically investigates the effect of corporate social responsibility (CSR) on information asymmetry (IA). Methodology: For analysis, the study uses annual data ranging from 2007 to 2017, collected from the published reports of companies registered at the Pakistani equity market comprising the non-financial sector. An unbalanced panel of 257 companies with 2383 observations is analyzed using the generalized methods of moment (GMM) technique. Main findings: In line with stakeholder's theory, results disclose a negative association between the variable of CSR and IA. It suggests that investing in CSR-related activities will reduce the asymmetry of information among managers and shareholders. Application of the study: Findings of the study uncover the benefits of CSR in relation to IA that must be considered while formulating any strategy both at the governmental and corporate level. Government should facilitate corporations that engage in CSR work while firms must include CSR in their policy-making as it can significantly reduce information asymmetry. Novelty/ originality of the study: This study provides a deep analysis in the form of behavioural association and the effect of CSR practices on information asymmetry in the context of the Pakistani non-financial sector. The study endorses the concept of CSR practices for the reduction of information asymmetry in Pakistani firms.