Perilaku Pemerintah Indonesia Dalam Memaksimalkan Welfare (Pendekatan Rawlasian-Utilitarian)

The concept of utilitarian welfare in Indonesia is identically applied to the implementation of the government's fiscal capacity policy. The research design is a quantitative concept, namely an experimental design using the weights of measuring income per capital, taxes, subsidies as a function of Iriani-Tamoka welfare with the central government constraint is to maximize the social welfare of the community. The results of the study found that government behavior in setting the tax burden is identical to utilitarian behavior in maximizing the welfare of its people. The government's transfer policy through social assistance and social security which is distributed to the community as an effort by the government to maximize utility through public welfare under the constraints of subsidy allocation and the multiplier effect caused by the determination of government taxes is identical to Rawlsian's behavior.

The Public Relations of Armed Groups: Competition and Emulation in Multifaceted Conflicts

Research on rebel movements associates group fragmentation with infighting, spoiling, and defection as victory against a common enemy nears. In contrast, we show that pro-government militias (PGMs) face unique incentives which lead them to emulate government behavior. When confronting a common enemy, PGMs highlight their value by signaling their comparative advantage vis-a-vis the central government. As victory nears, however, PGMs act to ensure their survival beyond the conflict by emulating the rhetoric and behavior of state security forces. We illustrate these patterns through a case study of the Iraqi coalition against the Islamic State (IS). We collect a large corpus of social media messages from accounts associated with the Iraqi government, the Kurdish Regional Government, and the Popular Mobilization Forces (PMF), a collection of pro-government militias mobilized to defeat IS. We find that the content of PMF messages shifts as conflict progresses. At the height of the IS threat, PMF messages played to the group's base and emphasized its distinctiveness from government forces. As victory over IS became more likely, PMF messages converged with government messages, increasingly emphasizing professionalism and eschewing sectarianism. This behavior sheds light on the changing incentives and constraints confronting PGMs as conflict processes evolve.

Research on Innovation Performance of VR and Tobacco Industrial Cluster Based on Structural Equation Model

As a traditional industry, the tobacco industry is an important part of the national economy and has an important position in meeting social consumption demand and increasing national and local fiscal revenue. And VR industry, as an emerging industrial economy, can effectively empower the development of tobacco industry. To further promote the development of VR and tobacco industry clusters and optimize the industrial structure, this paper constructs a conceptual model of the factors influencing the innovation performance of VR and tobacco industry clusters from a social network perspective based on the triple helix theory. Structural equation method and data of relevant companies of VR and tobacco industry in Nanchang is used to study the influencing factors of their innovation performance, and further examines the influence mechanism of R&D investment, government behavior and cluster atmosphere on innovation performance of these two industrial clusters. The results show that R&D investment, government behavior and cluster atmosphere have positive effects on innovation performance of Nanchang VR and tobacco industry cluster. The conclusions of this paper enrich the influencing factors of cluster innovation performance and expand the scope of innovation performance theory in the context of VR and tobacco industrial cluster.

How Land Finance Affects Green Economic Growth in Chinese Cities

Land finance is an important means for local governments to develop a regional economy. Studying the impact of land finance on green economic growth has important practical significance for achieving high-quality economic growth in China. This article uses panel data from 283 prefecture-level cities in China to construct a spatial econometric model to study the impact of land finance on green economic growth. The research results show that land finance has a significant inhibitory effect on the growth of the green economy. The direct, indirect and total effects of land finance on green economic growth are all significantly negative, which indicates that the local government’s method of making up for the financial funding gap through land finance not only inhibited the green economic growth in the region, but also had an impact on neighboring areas. Local government competition has a regulating effect on the impact of land finance and urban green economic growth, and government competition has actually strengthened the inhibitory effect of land finance on green economic growth. The above conclusions can provide useful practical guidance for optimizing the development of land finance, standardizing local government behavior, and promoting green economic growth.

Research on Industrial Transformation and Upgrading and technological innovation of Cultural Manufacturing Industry ——Taking Deqing Piano Industry as Example

This paper takes the piano industry of Deqing County as example, under the framework of technological innovation and industrial transformation and upgrading model, demonstrates from four levels including technology, talents, entrepreneurs and government behavior, and analyzes the difficulties and suggestions of technological innovation and industrial transformation and upgrading.

Fuzzy Reliability Theory in the Decision-Making Process

In the process of dealing with various problems that are related to the control and management of complex systems, uncertainty is always the issue. Most of the decisions to be made by engineers and governors are subject to a lack of data that causes uncertainty. Some information is not always accessible and insufficient at the time of decision-making (DM). It is important to use the concept of a human being's expert knowledge, so developing models to estimate and imitate human decision-making systems has been becoming necessary. This chapter will critically assess the fuzzy reliability theory and systems to demonstrate how fuzzy logic represents human behavior and non-linearity. The authors created a fuzzy inference system to model two different complex systems. Fuzzy approaches to real problems in DM are effective alternatives to traditional approaches. Fuzzy integrations improve DM models in five principal features: (1) expert knowledge, (2) uncertainty handling, (3) human and government behavior modeling, (4) flexible modeling, and (5) simpler representations.