This paper aims to provide a critical assesment of Conservatives's and new Labour's social assistance reforms in the U.K. and their differential impacts on low income groups. During the period of 18 years in power, the Conservative governments enforced benefit recipients being capable of work to be out of benefits and to get into work. They employed not only 'carrots' to encourage beneficiaries being capable of work to have full-time work, but also 'sticks' to discourage them to depend on benefits. The reforms under the Conservative governments were closer to the workfare model. The new Labour government has continued to emphasize work regarding social security reform. It has raised 'from welfare to work' as the main reform objective. However, it has not necessarily focused on 'carrots and sticks' in order to get beneficiaries into work. Instead, the new Labour government has put its priority regarding social assistance reform on human capital development in order to develop the capability of beneficiaries for work. Britain under the new Labour government seems to be moving from workfare to activation model. These differentials between the Conservative governments and the new Labour government regarding social assistance reforms bring about the different policy outcomes. Under the Conservative government, social assistance programmes were prone to strengthen the state's control over benefit recipients and to increase stigma to them. Punitive, demeaning, stigmatising programmes of work and unending job search activities harm the bases of self-respect. On the contrary, the activation programmes under the new Labour government has contributed positively to both socially significant participation and autonomy of beneficiaries.
The technological innovation is considered as an important factor and there is a positive externality in developing technology in the form of technology spillover. In this context, it is argued that government should play an active role in advancing technology development and several means have been introduced. This study attempts to analyze manufacturing firms' evaluation for the performance of government assistance programs to their R&D activities. Considering that the performance evaluation takes the form of a count outcome, we apply several kinds of count data models. Some interesting findings emerge from the analysis. For example, we found that a firm's sales amount, dummy for the firm's having an R&D department, dummy for the firm's being a venture one, and the number of the firm's innovative activities have positive relationships with the degree that the firm evaluates government assistance as being useful.
The Republic of Korea has made major strides in Information and Communication Technology (ICT) over the last five decades. After going through continuous efforts in e-Government and national informatization, Korea has become one of the global E-government leaders. Korea's E-government Development Index ranking assessed by the United Nations improved from 15th in 2001 to the top in 2010 and 2012 out of 192 countries worldwide, and its E-participation Index ranking was also ranked 1st in 2010& 2012. In addition, many of Korea's E-government practices until now have been introduced to the world as the best cases and received worldwide acknowledgement. The importance of official development aid/assistance (ODA) through informatization is especially gaining attention as Korea has joined the OECD Development Assistance Committee (DAC) and its status has significantly improved within international organizations. The Korean government has selected countries that have high potential in trade, economic, and E-government cooperation or those that are selected as ODA priority countries by the international community and has carried out various activities including ICT consultation, ICT Cooperation Center operation, and ICT learning programs. With joining the OECD DAC, Korea's overseas aid projects are expected to increase and be carried out in a more systematic manner. Also in the area of informatization, the importance of not only the overseas aid 'in ICT' itself but also the overseas aid 'through ICT' is increasing along with the expanding scale for more efficient and influential support. The Korean government's comprehensive reach of international projects in the ICT arena, aims to foster the global partnership for development by sharing and expanding the benefits of ICTs. The Korean government recognizes its advances and has endeavored to share them with others through participation in international forums and hosting of workshops.
Journal of the Korean Operations Research and Management Science Society
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v.34
no.4
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pp.27-42
/
2009
The research aims to identify factors affecting the use of government export marketing assistance programs and future improvements of the programs. 500 Korean exporting firms were used as a sample and research hypotheses were tested by the structural equation modeling using AMOS 7.0. The empirical findings are as follows. First, exporting firms' awareness of export marketing assistance programs showed a positive impact on their use of the programs. Second, small exporters showed higher awareness and use of the programs than large ones. Third, the firms with low export intensity showed higher awareness and use of the programs than those with high export intensity. Fourth, exporters having high orientations for overseas market showed higher awareness and use of the programs than those with low international orientations. Fifth, exporters having high proportion of direct exports showed higher awareness and use of the programs than those with low proportion of direct exports. Also, the effects of these firm-specific characteristics on the use of the programs were found to be done indirectly, in other words, through the awareness of the programs. Therefore, it was concluded that export marketing assistance program would be differentiated and specialized to fit in with exporters' different exporting stages and needs. Also, in order to increase the use of the programs, exporters' awareness and knowledge of the programs have to be increased in advance.
Background/Aims: The coronavirus disease 2019 (COVID-19) outbreak has modified the activities of endoscopy units worldwide. Herein, we investigated the impact of the COVID-19 outbreak on anesthesiologist assistance for endoscopic procedures in Lombardy, Italy. Methods: A questionnaire concerning anesthesiologist assistance provided from October 26 to December 6, 2020, in comparison with the same period in 2019, was sent to endoscopic units in Lombardy. Results: Approximately 54% (34/63) of the units responded. A reduction in the number of all endoscopies (-33.5%; 18792 in 2020 vs. 28264 in 2019) and anesthesiologist-assisted endoscopies (-15.3%; 2652 in 2020 vs. 3132 in 2019) was reported. A greater reduction in anesthesiologist assistance was observed in government community units (-29.5%) than in academic (-14%) and private community units (-4.6%). Among all units, 85% reported a reduction in anesthesiologist assistance; 65% observed a delay/cancellation of procedures; 59%, a restricted patient selection; 17%, the need to transfer some patients to other hospitals; and 32%, a related worsening of procedure quality. Conclusion: The COVID-19 pandemic compromised the anesthesiologist assistance for endoscopic procedures in Lombardy, which worsened the procedure quality mainly in government community units. The COVID-19 "stress test" suggests a more balanced allocation of anesthesiologic resources in the future.
Background: The Japan Atomic Energy Agency (JAEA) is specified in the Disaster Counter-measures Basic Act as a designated public corporation for dealing with nuclear disasters. Materials and Methods: The Nuclear Emergency Assistance and Training Center (NEAT) was established in 2002 as the activity base providing technical assistance to both national and local governments during nuclear emergencies. The NEAT has a robust structure and utilities and special installations, and it organizes training and exercises. Results and Discussion: Due to an offshore earthquake that caused a devastating tsunami in March 2011, a nuclear accident occurred at the Tokyo Electric Power Company's Fukushima Daiichi Nuclear Power Station. The NEAT responded by conducting off-site environmental radiation monitoring and contamination screening, dispatching special vehicles, offering telephone consultations, and calculating the dispersion of radioactive materials. An examination of the emergency response activities revealed that the organization was prepared for these types of disasters and was able to plan long-term response. Conclusion: As a designated public corporation, the JAEA technically supports the national government, the Fukushima prefectural government, and the Ibaraki prefectural government, all of which responded to the off-site emergencies resulting from the March 2011 Fukushima Daiichi accident
The Journal of Economics, Marketing and Management
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v.5
no.1
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pp.27-37
/
2017
Domestic government debt securities is one of the steps which is taken by the government of Indonesia as a major source of financial budget, covering for the budget deficit, debt payments and interest debt. The purposes of this research are to know the development of budget deficits, government debt and impact of domestic government debt securities against economic growth in Indonesia. Method of analysis used Ordinary Least Squares (OLS) analyzing the impact of the domestic debt against economic growth in Indonesia. This research uses time series data from 1997 to 2014. Total government debt and domestic government debt securities in Indonesia increased during the last five years. The average of domestic government securities was above 50 percent of the total government debt. Estimated results showed domestic government debt securities has a positive and significant effect to economic growth. Official development assistance (ODA) has a negative effect to economic growth. Other variables such as the gross fixed capital formation and receipt of remittance have positive and significant effect, total imports and government expenditure have negative and significant effect against economic growth.
The Journal of Asian Finance, Economics and Business
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v.9
no.1
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pp.325-332
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2022
The aim of this research is to use a conceptual model to experimentally evaluate the mediating impact of government financial and training support on structural social capital and non-financial performance of family farms. Questionnaires were used to collect data from family farms in Guangxi, China, from August 25th to September 8th, 2021. There were 759 valid responses, accounting for 94.99 percent of the total number of respondents. The scales' reliability and validity, and the research's mediating effects and hypotheses, are tested using SPSS 22.0 and AMOS 26.0. The findings suggest that the impact of government financial assistance on family farms' non-financial performance cannot be substantiated. The intermediary chain connection of financial and training support, on the other hand, has a significant mediating effect between structural social capital and family farm non-financial performance. Direct financial assistance could be thought to encourage family farms to rely too much on funding, making them less competitive in market competition, innovation, and long-term operations. According to the conclusions of the study, government assistance to family farms could take a variety of forms, including providing diversified skills training programs in farming practices, managerial skills, and other areas.
International conference on construction engineering and project management
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2022.06a
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pp.929-936
/
2022
In the U.S., the state, local, tribe, and territorial governments seek funding from the federal government through the Public Assistance program to carry out these recovery works. In this paper historic public assistance data between 1998 and 2021 have been analyzed to derive several insights such as: types of disasters causing the most damage, states requiring more support, net present value of the federal expense etc. This paper has found that the states requiring more support from the federal government are not always the states suffering the maximum losses from the disasters. It has also found that the net present value of the federal expense between 1998 and 2020 to restore, repair, reconstruct, or replace disaster damaged roads and bridges across the U.S. is $15 billion in 2021 values. Moreover, this paper has tested the correlation between the states' public assistance funds requirements and the existing condition and performance of roads and bridges as revealed by the American Society of Civil Engineer's infrastructure grade card. It has found a weak correlation between these two. The outcomes of this paper can be used by the decision makers to analyze the viability of any possible alternative to the exiting public assistance program. The insights can also help in better decision making in pre-disaster preparation and post-disaster funds allocation.
This study confirmed factors affecting smart factory technology acceptance through empirical analysis. It is a study on what factors have an important influence on the introduction of the smart factory, which is the core field of the 4th industry. I believe that there is academic and practical significance in the context of insufficient research on technology acceptance in the field of smart factories. This research was conducted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), whose explanatory power has been proven in the study of the acceptance factors of information technology. In addition to the four independent variables of the UTAUT : Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Government Assistance Expectancy, which is expected to be an important factor due to the characteristics of the smart factory, was added to the independent variable. And, in order to confirm the technical factors of smart factory technology acceptance, the Task Technology Fit(TTF) was added to empirically analyze the effect on Behavioral Intention. Trust is added as a parameter because the degree of trust in new technologies is expected to have a very important effect on the acceptance of technologies. Finally, empirical verification was conducted by adding Innovation Resistance to a research variable that plays a role as a moderator, based on previous studies that innovation by new information technology can inevitably cause refusal to users. For empirical analysis, an online questionnaire of random sampling method was conducted for incumbents of domestic small and medium-sized enterprises, and 309 copies of effective responses were used for empirical analysis. Amos 23.0 and Process macro 3.4 were used for statistical analysis. For accurate statistical analysis, the validity of Research Model and Measurement Variable were secured through confirmatory factor analysis. Accurate empirical analysis was conducted through appropriate statistical procedures and correct interpretation for causality verification, mediating effect verification, and moderating effect verification. Performance Expectancy, Social Influence, Government Assistance Expectancy, and Task Technology Fit had a positive (+) effect on smart factory technology acceptance. The magnitude of influence was found in the order of Government Assistance Expectancy(β=.487) > Task Technology Fit(β=.218) > Performance Expectancy(β=.205) > Social Influence(β=.204). Both the Task Characteristics and the Technology Characteristics were confirmed to have a positive (+) effect on Task Technology Fit. It was found that Task Characteristics(β=.559) had a greater effect on Task Technology Fit than Technology Characteristics(β=.328). In the mediating effect verification on Trust, a statistically significant mediating role of Trust was not identified between each of the six independent variables and the intention to introduce a smart factory. Through the verification of the moderating effect of Innovation Resistance, it was found that Innovation Resistance plays a positive (+) moderating role between Government Assistance Expectancy, and technology acceptance intention. In other words, the greater the Innovation Resistance, the greater the influence of the Government Assistance Expectancy on the intention to adopt the smart factory than the case where there is less Innovation Resistance. Based on this, academic and practical implications were presented.
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