Daya Saing dan Foreign Direct Investment

abroad and domestically. Incoming investment is affected by a country's daytime strength. Widespread investment encourages more competition and corrupt practices as many investors want to reduce the bureaucracy they face. However, in the investment market a high level of corruption also makes a country's economy unattractive. This study aims to analyze the effect of a country's competitiveness on the entry of Foreign Direct Investment in ASEAN. The variables used in this study are foreign investment, competitiveness, Corruption Perception Index, and political stability. The analytical method used is the Random Effect Model. This shows that state power is able to encourage direct foreign investment in a positive direction, as well as the Corruption Perception Index where the handling of the level of corruption will encourage the entry of Foreign Direct Investment. Political stability in this study does not have a significant effect, meaning that political shocks do not interfere with the entry of Foreign Direct Investment in ASEAN in the period 2010 to 2020

Public Infrastructure and Economic Growth in the Local Region

This study aims to analyze the effect of public infrastructure on economic growth in Lampung Province. The data used are time series and cross sections for the period 2012-2018 and 14 districts/cities. The method applied is the panel data model with the random effect model method. The results showed that Infrastructure, Irrigation Infrastructure, Health Infrastructure, Investment, Labor, and Gini Growth had a significant and positive effect on economic growth, while capital expenditures insignificant effect on economic growth. The implications of these findings indicate that public sector investments such as road infrastructure, bridges and other infrastructure facilities are important

The impact of the quality of democracy on the economic growth of provinces in Indonesia

Purpose: The impact of democracy on economic growth is an interesting study of economic institutions and there is still debate about the impact on economic growth. One side of the research finds that democracy has a significant and positive impact on economic growth, but the other side states that the improvement of the country's democracy causes economic growth to decline. This study aims to examine the impact of the quality of democracy on economic growth at the provincial level in Indonesia. Research methodology: The data used in this study use panel data using the Eviews 9.0 analysis tool, so that the best method named the Random Effect Model is obtained. Result: The results show that democracy in Indonesia has a significant impact on economic growth and there is a positive trend in the long run. Other variables used are labor and foreign investment, which statistically, if these variables occur, can increase economic growth in Indonesia and increase employment and data on foreign investment play a role in driving economic growth. Economic growth in Indonesia is already in good condition and the economic growth that occurs is convergence growth which shows that some provinces that are poor/underdeveloped can catch up with developed provinces. Limitations: This study uses fairly short time-series data, so that the addition of a longer time-series will of course give better results. Contribution: Improvements in democracy in Indonesia should also strengthen democratic norms that apply in society, such as reducing corrupt behaviors, especially political corruption and money politics to get public office because if this behavior cannot be corrected, then democracy will have little impact on the economy

The Impact of the Russia and Ukraine War on Indonesian Economic and Trade Performance

The Russian military invasion of Ukraine surprisingly impacted the world's geopolitical situation. The conflict that started at the end of February is ongoing, potentially disrupting economic and trade performance in the global sector, including Indonesia. The battle has the opportunity to increase some food commodity prices, thus hampering the total imports carried out. In addition, other leading commodities (non-oil and gas) such as gold, oil, and coal will also experience significant turmoil due to the conflict that has continued to heat up recently. The study provides an overview of the systemic impact on Indonesia's economic conditions by predicting the short-term possibilities. This study investigates the Russia-Ukraine conflict's initial estimate of the net import value of the two countries and other trading partners. This study uses independent variables, namely oil and gas commodities and gold prices over eleven years (2000-2021). Error Correction Model (ECM) is an analytical method used in this study. This research expects to give an overview to academia, business, industry, and the government in anticipating Indonesia's economic and trade performance to the crisis in Russia and Ukraine. Thus, it is hoped that this research can be used as an illustration of the government to make decisions in allocating import values amid the polemic between Russia and Ukraine so that trade values can be optimal

CRIMINALITY AND POVERTY IN SUMATRA

This study analyzes the effect of crime on poverty in Sumatra, in addition to using the Human Development Index variable and also the open unemployment rate as independent variables. Fixed Effect Model is the best method used in this study, panel data consisting of 9 years and 10 provinces in Sumatra. Increasing security and comfort is an important thing that must be accommodated in the form of a law. This is a certainty as well as a guarantor to prevent criminal acts by taking action in the form of strict punishment from the governmen

Criminality and economic growth province in Indonesian

The decline in economic growth, which is offset by the increasing number of people and the lack of availability of jobs, has caused more people to be affected and involved in non-crime activities based on the crime rate (CR). This study aims to analyze the effect of crime rates on provincial economic growth in Indonesia in 2011-2020. The variables used are economic growth, crime rates, investment, labor, and initial growth. The method used is the Fixed Effect Model. The results show that the higher the crime rate impacts the decline in economic growth, further increase in investment and labor will encourage economic growth. In contrast, the initial growth shows that the economy of poor provinces grows slower than rich provinces

Specialization and Competitive Advantages of Leading Processing Industry in South Sumatra

The contribution of the manufacturing sector to the GRDP of South Sumatra Province is 19.72 percent in 2020. A large percentage of GRDP does not necessarily indicate the potential of the processing industry to become a leading sector, so it is necessary to identify the leading processing industry sector. So that this study aims to identify the competitiveness of the leading processing industry sub-sector. The method used are Static Location Quetionts (SLQ), Dynamic Location Quetionts (DLQ), Dispersion Power Index (IDP), Sensitivity Index (IDK) which uses an overlay method to identify sub-sectors of the processing industry. Meanwhile, to determine the competitiveness of the leading processing industry sub-sector is using Shift-Share Dynamic analysis. Using the secondary data sourced from the Indonesia Statistics, the input-output table in 2016 and previous study from 2016-2020. The findings show that from the 16 sub-sectors of the processing industry, there are 3 sub-sectors which include the leading processing industry, namely the food and beverage industry; paper and paper goods industry, printing, and reproduction of recording media; and the chemical, pharmaceutical and traditional medicine industries. Food and beverage industry sub-sector; and the paper industry, and paper goods, printing and reproduction of recording media have competitiveness and specialization. Meanwhile, the chemical, pharmaceutical and traditional medicine industries have no specialization but are competitive

Implementation of Community Policing Strategy: Impact of Community Factors in Nairobi Country

Crime is a community problem and not just a police problem. The adoption and implementation of Community Policing (CP) in the 1980s, was perceived as departure from the professional ‘police-as- expert’ model of public safety that had been dominant for a long time. The CP approach is designed to engage the community as an equal partner in solving local crime and other security threats within the community. The CP concept was introduced in Kenya in the 1990s.Though it had informally existed in Nairobi County in Ruai and Kasarani estates much earlier.Its formal implementation only gained currency after the Post Election Violence of 2007-2008 in Kenya. Among the factors influencing its implementation in Kenya has received considerable research attention, but challenges impacting on its implementation in Nairobi County have not been adequately documented. This study aimed to fill this research gap by focussing on community factors. The overall research objective sought to determine the influence of community factors in effective implementation of community policing within Nairobi County. The objective of the study was to assess how community factors influence implementation of community policing within Nairobi County. The research findings adds to the body of knowledge, while also benefitting policy makers dealing with issues of community policing. It will also benefit other researchers exploring different aspects of community policing as a strategy to combat crime in city neighbourhoods. The research established that community factors are among the most influential factors that hamper smooth implementation of community policing in Nairobi County. The study recommends that the community needs to be educated on community policing initiatives and how to manage community factors that affect the implementation of CP in Nairobi County

Africlp report

Africa Climate Leadership Program (AfriCLP) is dedicated to strengthening the leadership capacity of beneficiaries from 15 African countries that includes academics, researchers, development practitioners and policy experts. The program fellowships are from three tracks; Policy, Climate Innovation, and Research. Country Fellows’ profiles are individually presented with a projected timeline regarding their plans and focus in this project brief infographic

CommuniSense: Crowdsourcing Road Hazards in Nairobi

Nairobi is one of the fastest growing metropolitan cities and a major business and technology powerhouse in Africa. However, Nairobi currently lacks monitoring technologies to obtain reliable data on traffic and road infrastructure conditions. In this paper, we investigate the use of mobile crowdsourcing as means to gather and document Nairobi's road quality information. We first present the key findings of a city-wide road quality survey about the perception of existing road quality conditions in Nairobi. Based on the survey's findings, we then developed a mobile crowdsourcing application, called CommuniSense, to collect road quality data. The application serves as a tool for users to locate, describe, and photograph road hazards. We tested our application through a two-week field study amongst 30 participants to document various forms of road hazards from different areas in Nairobi. To verify the authenticity of user-contributed reports from our field study, we proposed to use online crowdsourcing using Amazon's Mechanical Turk (MTurk) to verify whether submitted reports indeed depict road hazards. We found 92% of user-submitted reports to match the MTurkers judgements. While our prototype was designed and tested on a specific city, our methodology is applicable to other developing cities.Comment: In Proceedings of 17th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2015