How Does Government Policy Improve Green Technology Innovation: An Empirical Study in China

This paper divides government policy according to policy quantity, policy effectiveness and policy executive force so that the government policy can be quantified in more detail. Green patent data is used to represent green technological innovation, and the fixed effect model and panel data analysis from 2010 to 2019 are employed. The empirical results show that government policy has a significant direct promoting effect on green technology innovation. And the positive impact of policy quantity and policy effectiveness on green technology innovation is greater than that of policy executive force. In addition, the government policy will weaken the positive effect of enterprise innovation vitality on green technology innovation. Research conclusions also show that the direct and indirect effects of government policies on green technology innovation are heterogeneous. The government still needs appropriately policies adapted to the local situation, coordinated in policy quantity, policy effectiveness, and executive force, and accelerate the establishment of market-oriented green technology innovation environment. Different regions also should find the right green technology innovation policy scheme for their own regions.

Effects of E-Government Policy on the Management of Healthcare Systems

E-government began by addressing the challenges of new technologies by delivering e-services to its citizens and has since evolved to include a growing number of areas, such as citizen communication, macroeconomic projections, budget management, and e-healthcare services. E-government is known as the use of information technology to provide administrative services, communication transactions, information exchange, integration of various electronic systems, and autonomous services between the government and citizens, the government and business environment, and the government and government. This paper discusses the role of E-government policy in healthcare crises during COVID 19. Data collected from 435 employees in the tourism industry of Iraq was used to verify the abovementioned relationships via SPSS macro. The results indicate that E-government policy has a significant effect on healthcare crises; job insecurity negatively predicted healthcare crises. The results revealed that social support moderated the relationship between E-government policy and job insecurity. Results of the study contributed to the theory within this study by demonstrating that employees who enjoy a high level of social support show less job insecurity than those with a low level of social support.

Demand Forecast on the Orchard Cold Chain Logistics in Hunan Province Based on Cognitive Neuroscience

How to scientifically and effectively predict the cold chain logistics demand and provide basis for decision making has always been the focus of forestry and orchard logistics research. From the learning environment of neurons, cognitive neuroscience provides a new perspective for forecasting the demand for cold chain logistics. This paper uses the cognitive neuroscience theory to construct a BP neural network model containing two hidden layers to predict the cold chain logistics demand of the forestry and orchard industry in Hunan province in 2017-2021. Suggestions are then given from the aspects of cold chain logistics construction, transportation infrastructure construction, government policy, enterprise and industry according to the prediction results, thus, providing a theoretical basis for the planning of the cold chain logistics system of Hunan province in a certain period of time, as well as references for the development of cold chain logistics in other parts of the country.

Demand Forecast on the Orchard Cold Chain Logistics in Hunan Province Based on Cognitive Neuroscience

How to scientifically and effectively predict the cold chain logistics demand and provide basis for decision making has always been the focus of forestry and orchard logistics research. From the learning environment of neurons, cognitive neuroscience provides a new perspective for forecasting the demand for cold chain logistics. This paper uses the cognitive neuroscience theory to construct a BP neural network model containing two hidden layers to predict the cold chain logistics demand of the forestry and orchard industry in Hunan province in 2017-2021. Suggestions are then given from the aspects of cold chain logistics construction, transportation infrastructure construction, government policy, enterprise and industry according to the prediction results, thus, providing a theoretical basis for the planning of the cold chain logistics system of Hunan province in a certain period of time, as well as references for the development of cold chain logistics in other parts of the country.

Women’s Entrepreneurship and Government Policy: Facilitating Access to Credit through a National Program in Chile

In this paper, I evaluate the impact of a multidimensional national program implemented in Chile during the second term of President Bachelet to facilitate female entrepreneurs’ access to credit, reduce gender gaps in financial inclusion, and change patriarchal stereotypes. I construct a difference-in-difference estimate of the program. My findings indicate that the program has successfully met its principal aim: the loans granted to women have increased, reducing the gender gap in this dimension. In addition, evidence of heterogeneity by the economic sector has emerged. This evidence aligns with prior research that has emphasised that public policies should not be designed and implemented under the logic of "one type of program fits all". The program analysed in this study is an example of a national public policy that has improved female entrepreneurs’ access to funding, reduced gender gaps in a Latin American country, and potentially offered lessons to other Latin American and middle-income countries worldwide.

Optimization of The Application of The Covid 19 Health Protocol for Elementary School Students in Banyuasin South Sumatera

Covid-19 continues to increase the number of patients who are positive for Covid-19. Indonesia is a risky country to visit, while the National Data for South Sumatra is the number one province on Sumatra Island with the highest number of Covid-19 patients. Government policy allows regions or regions with yellow zones to open schools offline. Banyuasin Regency is included in the yellow zone of Covid patients, so teaching and learning has been carried out offline with strict implementation of health protocols. To support offline teaching and learning activities, it is necessary to educate students about the 3M movement (maintaining distance, using masks, washing hands with soap). This activity aims to train students to apply the 3M health protocol correctly. The results of the service show that there is an increase in knowledge and changes in student behaviour after receiving training and counselling about health protocols at school. Optimization of health protocols needs to be carried out on an ongoing basis to prevent the transmission of COVID-19 in elementary schools.

The analysis of the hashtag #Jokowi404NotFound on Twitter in protesting mural removal in the public sphere

The removal of mural looking like President Joko Widodo's face with the words 404 Not Found triggered a wide range of reactions from the public, including some on Twitter, who saw the action as an anti-critical form of government. As a result, the hashtag #Jokowi404notfound became a popular topic and was used over 11,000 times on August 14, 2021. The purpose of this study is to look at how people use the hashtag #Jokowi404notfound on Twitter to protest the removal of murals. In August 2021, this study takes a qualitative approach, collecting data in the form of observation of media texts on Twitter's public timeline. According to the findings of this study, the hashtag #Jokowi404notfound was used to protest the government's anti-critical decision to remove murals as a form of suppression of individual freedom. When the public interest is at stake and the movement is mobilized by Twitter activists with large social media followings, the hashtag activism movement has the potential to drive and influence government policy. Messages to the government are also conveyed using various styles of language.