scholarly journals Are People More Satisfied with Democracy When They Feel They Won the Election? No

2021 ◽  
pp. 147892992110583
Author(s):  
Jean-François Daoust ◽  
Carolina Plescia ◽  
André Blais

Citizens who voted for a party ending up in government are more satisfied with democracy than those who supported a party that ends up in the opposition. The assumption is that voting for a party that is included in the government produces a perception of having won the election, which increases one’s level of satisfaction with democracy. This (assumed) mediation has never been directly tested. In this research note, we provide the first empirical test of this mediation using data from the Making Electoral Democracy Work project, which includes a question tapping whether the respondent perceives the party she voted for won or lost the election. We do not find support for the mediation hypothesis. We conclude that the meaning of the higher (lower) satisfaction observed among those who voted for a party included in the government (or in the opposition) remains ambiguous. Our research has important implications for the conceptualization of what it means to win or lose an election.

2015 ◽  
Author(s):  
◽  
Joshua Norberg

This project investigates how citizens in advanced industrial democracies evaluate their democratic institutions. Previous literature has focused on the role of either individual characteristics - personal economic conditions, whether a voter identifies with a winning political party, etc. - or institutional structures to determine what drives the level of satisfaction with democracy in a country. The former explanations are unable to account for systematic differences across countries, while the latter explanations are unable to account for rapid year-to-year shifts in satisfaction or the variation in satisfaction within system types. Instead, I argue that electorates across all types of democracies primarily desire one thing: political representation. In this dissertation I argue that the quality of the connections between voters and political parties, on the one hand, and voters and the government on the other, is crucial to understanding why some individuals are more satisfied with their political institutions than others. I find that as the quality of the connection between a voter and their party decreases, the likelihood that they will be satisfied with their democracy decreases accordingly. Moreover, I find that the quality of this connection conditions the positive effect of selecting a winning political party. Finally, I find that the way a government terminates - whether by regular elections or conflict between government parties - has a strong impact on the level of satisfaction in a country.


2019 ◽  
Vol 9 (1) ◽  
pp. 27-37
Author(s):  
Mourad Mansour ◽  
Alhassan G Mumuni

AbstractBeginning with the establishment of a Supreme Commission for Tourism and Antiquities’ (SCTA) in 2000, there have been official attempts by the government of Saudi Arabia to encourage domestic tourism in order to tap into the huge amounts that Saudis spend annually on vacations. This paper examines the motivations and attitudes of consumers toward tourism destinations and activities within the country (domestic tourism). Using data collected through a structured self-administered questionnaire, the study finds that familiarity and trust of the local environment, perceptions of the safer domestic environment, and limitations imposed by respondents’ vacation timing are the primary motives for choosing to spend their vacations locally, while lack of quality domestic tourist sites and services (including entertainment facilities), lack of tourism information, insufficient tourism organization services, and the harsh local environmental conditions during summer are factors that ‘push’ people from spending the vacations locally. Attitudes toward domestic tourism are generally negative, although there are significant differences in attitudes between respondents who prefer domestic destinations and those who prefer to travel out of Kingdom. Implications of the findings are outlined and discussed.


Author(s):  
Ewin Karman Nduru ◽  
Efori Buulolo ◽  
Pristiwanto Pristiwanto

Universities or institutions that operate in North Sumatra are very many, therefore, of course, competition in accepting new students is very tight, universities or institutions do certain ways or steps to be able to compete with other campuses in gaining interest from community or high school students who will continue their studies to a higher level. STMIK BUDI DARMA Medan (College of Information and Computer Management), is the first computer high school in Medan which was established on March 1, 1996 and received approval from the government through the Minister of Education and Culture, on July 23, 1996 with operating license number 48 / D / O / 1996, in promoting the campus, the team usually formed a promotion team to various regions in the North Sumatra Region to provide information to the community. Students who have learned in this campus are quite a lot who come from various regions in North Sumatra, from this point the need to process data from students who are active in college to be processed using data mining to achieve a target, one method that can be used in data mining, namely the ¬K-Modes clustering (grouping) algorithm. This method is a grouping of student data that will be a help to campus students in promoting, using the K-Modes algorithm is expected to help and become a reference for marketing in determining the marketing strategy STMIK Budi Darma MedanKeywords: STMIK Budi Darma, Marketing Strategy, K-Modes Algorithm.


Author(s):  
Ira Patriani

Border areas, is one of affected area on COVID_19 this present. Many of people cn not go out as usually, adding almost each country has to implement their territorial limitation (lockdown policy) to minimalize this virus spreading. One of Malaysia State, where very close and get direct border with Indonesia. This research took place at Sanggau District, Entikong, Gun Tembawang Village.The research approach used is qualitative, using data collection methods in the form of interviews, observations, and documentation supported by interviews with the theoretical approach to the negative and positive aspects on policy implementation. Research results, The results stated that the lockdown activities of Malaysia which were affected by the corona virus outbreak needed to be carried out in an effort to minimize the spread of the virus outbreak. Although of course it has a negative impact on the country's economic structure, social issues and other sector. In implementing this lockdown, there is a need for cooperation between the government and the community as well as an agreement with neighboring countries in terms of the mobility of residents closest to each other's territory on exemptions in order to realize social welfare and public health without limiting the origin of the state, religion, community and profession. Especially in border areas where mobility and kinship ties have always been closer than in other regions. Keywords: Border area, lockdown policy, covid_19


Author(s):  
Verena Seibel ◽  
Jeanette A J Renema

Abstract Public healthcare is still one of the main pillars of European welfare states, despite the increasing number of migrants, we know little about migrants’ attitudes toward healthcare. We used recent data from the MIFARE survey and compared natives with a variety of nine migrant groups living in Denmark, Germany, and the Netherlands, focusing on migrants’ preferred level of governmental involvement and their satisfaction with public healthcare. We found that, compared to natives, migrants held the government less responsible for providing healthcare while expressing a higher level of satisfaction. Whereas health differences among migrants and natives did not explain this ethnic gap, we found that these ethnic gaps are moderated by socialization processes and knowledge of healthcare rights.


2021 ◽  
Vol 12 (1) ◽  
pp. 40-55
Author(s):  
Nguyen Quang Phuc ◽  
A. C. M. (Guus) van Westen ◽  
Annelies Zoomers

The purpose of this study is to investigate the determinants of household income following the loss of land owing to urban expansion in central Vietnam. Using data mainly from household surveys in the peri-urban areas of Hue city, the regression model indicates that demographic factors and livelihood strategy choices have important impacts on household income; financial compensation and support packages do not appear to be strong determinants of household income after the loss of land. This implies a failure of the current compensation programmes in the process of compulsory land acquisition, because the government believes that compensation packages make important contributions to livelihood reconstruction. This study suggests that investing in education and skill training for household members affected by land loss as well as assistance in converting compensation money into an adequate livelihood should be taken into consideration.


Author(s):  
Fredy S. Monge-Rodríguez ◽  
He Jiang ◽  
Liwei Zhang ◽  
Andy Alvarado-Yepez ◽  
Anahí Cardona-Rivero ◽  
...  

COVID-19 has spread around the world, causing a global pandemic, and to date is impacting in various ways in both developed and developing countries. We know that the spread of this virus is through people’s behavior despite the perceived risks. Risk perception plays an important role in decision-making to prevent infection. Using data from the online survey of participants in Peru and China (N = 1594), data were collected between 8 July 31 and August 2020. We found that levels of risk perception are relatively moderate, but higher in Peru compared to China. In both countries, anxiety, threat perception, self-confidence, and sex were found to be significant predictors of risk perception; however, trust in the information received by government and experts was significant only in Peru, whereas self-confidence had a significant negative effect only for China. Risk communication should be implemented through information programs aimed at reducing anxiety and improving self-confidence, taking into consideration gender differences. In addition, the information generated by the government should be based on empirical sources. Finally, the implications for effective risk communication and its impacts on the health field are discussed.


Author(s):  
Yinhao Wu ◽  
Shumin Yu ◽  
Xiangdong Duan

Pollution-intensive industries (PIIs) have both scale effect and environmental sensitivity. Therefore, this paper studies how environmental regulation (ER) affects the location dynamics of PIIs under the agglomeration effect. Our results show that, ER can increase the production costs of pollution-intensive firms (PIFs) by internalizing the negative impact of pollutant discharge in a region, and thus, directly reduces the region’s attractiveness to PIFs. Meanwhile, ER can indirectly reduce the attractiveness of a region to PIFs by reducing the externality of the regional agglomeration effect. Moreover, these influences are regulated by the level of local economic development. Based on the moderated mediating effect model, we find evidence from the site selection activities of newly built chemical firms in cities across China. The empirical test shows that compared with 2014, the proportion of the direct effect of ER to the total effects significantly decreased in 2018, while the proportion of indirect effects under the agglomeration effect increased significantly. Our findings provide reference for the government to design effective environmental policies to guide the location choice of new PIFs.


2021 ◽  
Vol 13 (6) ◽  
pp. 3179
Author(s):  
Minh Hieu Nguyen ◽  
Jimmy Armoogum

The rapid and widespread of COVID-19 has caused severe multifaceted effects on society but differently in women and men, thereby preventing the achievement of gender equality (the 5th sustainable development goal of the United Nations). This study, using data of 355 teleworkers collected in Hanoi (Vietnam) during the first social distancing period, aims at exploring how (dis)similar factors associated with the perception and the preference for more home-based telework (HBT) for male teleworkers versus female peers are. The findings show that 56% of female teleworkers compared to 45% of male counterparts had a positive perception of HBT within the social distancing period and 63% of women desired to telework more in comparison with 39% of men post-COVID-19. Work-related factors were associated with the male perception while family-related factors influenced the female perception. There is a difference in the effects of the same variables (age and children in the household) on the perception and the preference for HBT for females. For women, HBT would be considered a solution post-COVID-19 to solve the burden existing pre-COVID-19 and increasing in COVID-19. Considering gender inequality is necessary for the government and authorities to lessen the adverse effects of COVID-19 on the lives of citizens, especially female ones, in developing countries.


2017 ◽  
Vol 10 (5) ◽  
pp. 662-686
Author(s):  
Dimitrios Staikos ◽  
Wenjun Xue

Purpose With this paper, the authors aim to investigate the drivers behind three of the most important aspects of the Chinese real estate market, housing prices, housing rent and new construction. At the same time, the authors perform a comprehensive empirical test of the popular 4-quadrant model by Wheaton and DiPasquale. Design/methodology/approach In this paper, the authors utilize panel cointegration estimation methods and data from 35 Chinese metropolitan areas. Findings The results indicate that the 4-quadrant model is well suited to explain the determinants of housing prices. However, the same is not true regarding housing rent and new construction suggesting a more complex theoretical framework may be required for a well-rounded explanation of real estate markets. Originality/value It is the first time that panel data are used to estimate rent and new construction for China. Also, it is the first time a comprehensive test of the Wheaton and DiPasquale 4-quadrant model is performed using data from China.


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