scholarly journals Assessment on the Use of Meteorological and Social Media Information for Forest Fire Detection and Prediction in Riau, Indonesia

2021 ◽  
Vol 13 (20) ◽  
pp. 11188
Author(s):  
Anni Arumsari Fitriany ◽  
Piotr J. Flatau ◽  
Khoirunurrofik Khoirunurrofik ◽  
Nelly Florida Riama
Keyword(s):  
Fire Detection ◽  
Policy Implications ◽  
Disaster Mitigation ◽  
Online Newspapers ◽  
Additional Information ◽  
Novel Approach ◽  
Fire Disaster ◽  
The Government ◽  
Twitter Activity ◽  
Early Fire Detection

In this study, tweets related to fires in Riau, Sumatra, were identified using carefully selected keywords for the 2014–2019 timeframe. The TAGGS algorithm was applied, which allows for geoparsing based on the user’s nationality and hometown and on direct referrals to specific locations such as name of province or name of city in the message itself. Online newspapers covering Riau were analyzed for the year 2019 to provide additional information about the reasons why fires occurred and other factors, such as impact on people’s health, animal mortality related to ecosystem disruption, visibility, decrease in air quality and limitations in the government firefighting response. Correlation analysis between meteorological information, Twitter activity and satellite-derived hotspots was conducted. The existing approaches that BMKG and other Indonesian agencies use to detect fire activity are reviewed and a novel approach for early fire detection is proposed based on the crowdsourcing of tweets. The policy implications of these results suggest that crowdsourced data can be included in the fire management system in Indonesia to support early fire detection and fire disaster mitigation efforts.

scholarly journals Assessment on the Use of Meteorological and Social Media Information for Forest Fires Detection and Prediction in Riau, Indonesia

2021 ◽  
Author(s):  
Anni Arumsari Fitriany ◽  
Piotr Jacek Flatau ◽  
Khoirunurrofik Khoirunurrofik ◽  
Nelly Florida Riama
Keyword(s):  
Social Media ◽  
Early Detection ◽  
Forest Fires ◽  
Management Practices ◽  
Policy Implications ◽  
Disaster Mitigation ◽  
Local Newspapers ◽  
Novel Approach ◽  
Fire Disaster ◽  
Twitter Activity

Early detection that results in early warning of forest fires occurrences in Indonesia, which are strongly related to land management practices (including peatlands), is necessary to mitigate land and forest fires in Indonesia. Riau has been chosen in this study because of its vulnerability to forest fires. The remoteness of this region is one reason for developing alternative warning tools using meteorological and social media information. This study identified tweets related to fires using carefully selected keywords, geoparsed to select messages relevant to fire occurrences, and binned within several Indonesian sub-regions in Riau Province. Content analysis was performed for 31 related online local newspapers. Assessment to study the correlation between meteorological and Twitter information with the forest fires was conducted. Existing approaches that the BMKG and other Indonesian agencies use to detect fire activities are reviewed, and a novel approach based on crowdsourcing of tweets is proposed. The results show a correlation between meteorological information and Twitter activity with satellites derived hotspot information. The policy implications of these results suggest that information should be included in the fire management system in Indonesia to support fire early detection as part of fire disaster mitigation efforts.

scholarly journals ANALISIS PENGGUNAAN MEDIA SOSIAL DALAM MITIGASI BENCANA BANJIR DI DKI JAKARTA TAHUN 2020

2021 ◽  
Vol 9 (1) ◽  
pp. 77-92
Author(s):  
Diah Wahyuningsih ◽  
Suswanta Suswanta
Keyword(s):  
Disaster Management ◽  
Disaster Preparedness ◽  
Public Awareness ◽  
Descriptive Analysis ◽  
Disaster Mitigation ◽  
Online Newspapers ◽  
The Press ◽  
Twitter Account ◽  
The Government ◽  
Post Disaster

This study aims to explain how the use of twitter in disseminating disaster information in order to increase public awareness of natural disasters, namely the twitter account @BPBDJakarta. The research method used is qualitative research with descriptive analysis techniques using Twitter content analysis, one of the government-owned social media accounts using the Nvivo 12 Plus application. In addition, the research also uses data triangulation to obtain the required data. The source is obtained from information from credible online newspapers that have been registered with the press council, so that the information submitted can be justified. The results of this study conclude that the Jakarta Regional Disaster Management Agency's twitter account coordinates all units involved in disaster management. The information posted by BPBD DKI Jakarta on its twitter account is a form of disaster management stages which include pre-disaster (preparedness, early warning and mitigation), during a disaster (emergency response and disaster management), and post-disaster (rehabilitation and reconstruction). The contribution of hastags twitter on the Twitter account of the Jakarta Regional Disaster Management Agency for flood disaster mitigation in this case this Twitter account acts as a government medium to listen to information obtained from # hashtags that often appear on its twitter account.

The Problem of Agricultural Taxation in West Pakistan and an Alternative Solution: A Comment (Notes & Comments)

1973 ◽  
Vol 12 (4) ◽  
pp. 433-437
Author(s):  
Sarfaraz Khan Qureshi
Keyword(s):  
Capita Income ◽  
Agricultural Sector ◽  
Central Government ◽  
Policy Implications ◽  
Farm Size ◽  
Per Capita Income ◽  
Tax Rate ◽  
Water Rate ◽  
Per Capita ◽  
The Government

In the Summer 1973 issue of the Pakistan Development Review, Mr. Mohammad Ghaffar Chaudhry [1] has dealt with two very important issues relating to the intersectoral tax equity and the intrasectoral tax equity within the agricultural sector in Pakistan. Using a simple criterion for vertical tax equity that implies that the tax rate rises with per capita income such that the ratio of revenue to income rises at the same percentage rate as per capita income, Mr. Chaudhry found that the agricultural sector is overtaxed in Pakistan. Mr. Chaudhry further found that the land tax is a regressive levy with respect to the farm size. Both findings, if valid, have important policy implications. In this note we argue that the validity of the findings on intersectoral tax equity depends on the treatment of water rate as tax rather than the price of a service provided by the Government and on the shifting assumptions regard¬ing the indirect taxes on imports and domestic production levied by the Central Government. The relevance of the findings on the intrasectoral tax burden would have been more obvious if the tax liability was related to income from land per capita.

The Influence of the Parties on Judges

2017 ◽  
Author(s):  
Benjamin Alarie ◽  
Andrew J. Green
Keyword(s):  
Additional Information ◽  
High Courts ◽  
The Government

High courts differ in the processes for choosing who sits on the court, the size and composition of panels, and the cases the court hears. Once the case is before the court, a judge may also be influenced by the parties that appear in the appeal. This chapter examines this influence. The government, for example, tends to be more successful in many cases than other parties. This success may be due, for example, to the government having more resources than other parties or being a repeat player in front of the court. Further, judges seem to at least be modestly influenced by interveners, who are not actually the parties to the appeal but seek to provide additional information. Judges appear to consider the information provided by the interveners in some contexts, though the presence of interveners also appears connected to an increase in the probability of a judge dissenting.

scholarly journals Functional prediction of environmental variables using metabolic networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adèle Weber Zendrera ◽  
Nataliya Sokolovska ◽  
Hédi A. Soula
Keyword(s):  
Machine Learning ◽  
Growth Temperature ◽  
Environmental Variables ◽  
Metabolic Networks ◽  
Machine Learning Techniques ◽  
Underlying Structure ◽  
Glutathione Biosynthesis ◽  
Additional Information ◽  
Cold Environments ◽  
Novel Approach

AbstractIn this manuscript, we propose a novel approach to assess relationships between environment and metabolic networks. We used a comprehensive dataset of more than 5000 prokaryotic species from which we derived the metabolic networks. We compute the scope from the reconstructed graphs, which is the set of all metabolites and reactions that can potentially be synthesized when provided with external metabolites. We show using machine learning techniques that the scope is an excellent predictor of taxonomic and environmental variables, namely growth temperature, oxygen tolerance, and habitat. In the literature, metabolites and pathways are rarely used to discriminate species. We make use of the scope underlying structure—metabolites and pathways—to construct the predictive models, giving additional information on the important metabolic pathways needed to discriminate the species, which is often absent in other metabolic network properties. For example, in the particular case of growth temperature, glutathione biosynthesis pathways are specific to species growing in cold environments, whereas tungsten metabolism is specific to species in warm environments, as was hinted in current literature. From a machine learning perspective, the scope is able to reduce the dimension of our data, and can thus be considered as an interpretable graph embedding.

School Catchment Zone Mergers and Housing Wealth Redistribution

2021 ◽  
pp. 0739456X2110067
Author(s):  
Siu Kei Wong ◽  
Kuang Kuang Deng
Keyword(s):  
School Quality ◽  
Housing Prices ◽  
Estimation Method ◽  
Policy Implications ◽  
Housing Wealth ◽  
Housing Values ◽  
Wealth Redistribution ◽  
The Government ◽  
Empirical Design

This study investigates how perceived school quality affects housing values, using a new estimation method. Our empirical design takes advantage of the mergers of school catchment zones initiated by the government to develop quasi-experiments. We find that, in zones that gained sudden access to higher ranked schools, housing prices increased by 1.3 to 4.1 percent. Larger and more expensive houses appreciated more in response to the improvement in perceived quality of available schools. The findings generate important policy implications regarding housing wealth redistribution and housing expenditures among different households. The study also enriches the literature on the capitalization effect of school quality.

Factors limiting the adoption of hemp as an alternative sustainable material for green building delivery in Ghana

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kofi Agyekum ◽  
Emmanuel Adinyira ◽  
James Anthony Oppon
Keyword(s):  
Building Materials ◽  
Green Building ◽  
Sub Saharan Africa ◽  
Content Type ◽  
Sustainable Material ◽  
Environmental Threats ◽  
Additional Information ◽  
Comparative Review ◽  
Sub Saharan ◽  
The Government

PurposeThe increased awareness of global environmental threats like climate change has created an upsurge of interest in low embodied carbon building materials for green building delivery. Though the literature advocates for the use of hemp-based building materials, there is no evidence of studies to explore its potential use in Ghana. Therefore, this study explores the potential factors that limit the adoption of hemp as an alternative sustainable material for green building delivery in Ghana.Design/methodology/approachA structured questionnaire was used to solicit the views of built environment professionals operating in construction, consulting and developer firms. The questions were developed through a comparative review of the related literature and complemented with a pilot review. Data were analysed via descriptive and inferential statistics.FindingsOn the average, the majority of the respondents showed a moderate level of awareness of hemp and its related uses in the construction industry. Also, certain key factors like the perceived association of hemp with marijuana, lack of expertise in the production of hemp-related building materials, farmers not getting the needed clearance for the cultivation of hemp, lack of legislation by the government in the legalisation of hemp and the inadequate knowledge of consumers on the benefits of hemp-based building materials were identified as potential limitations to the adoption of hemp as an alternative sustainable material for green building delivery.Originality/valueThe findings from this study provide insights into a less investigated area in sub-Saharan Africa and further provide new and additional information to the current state-of-the-art on the potential for the use of hemp in the building construction sector.

Explaining Country Heterogeneity in E-Government Evolution Based on Longitudinal Analysis of Nations

2021 ◽  
Vol 12 (3) ◽  
pp. 83-95
Author(s):  
Prakrit Silal ◽  
Debashis Saha
Keyword(s):  
Longitudinal Analysis ◽  
Clustering Analysis ◽  
Policy Implications ◽  
Development Indicators ◽  
The Past ◽  
Country Level ◽  
The Government

E-government (EGOV) has emerged as an important innovation disrupting the government-citizen relationship in the past two decades. It has attracted wide attention from scholars across varied domains. However, most of these scholarly works, while richly contributing to this evolving domain, assume homogeneity and uniformity in its design, implementation, and impact. This “one size fits all” approach fails to account for the contextual richness, often culminating in a “design-reality” gap. Also, the existing literature lacks adequate investigation of EGOV heterogeneities along time. To address the lacuna, this study attempts to uncover country-level heterogeneities inherent in EGOV longitudinal evolution. Using a dataset over 2008-2018, the study performs a longitudinal clustering analysis and identifies four distinct cohorts with varying EGOV trajectories. Further, the study uncovers variations in EGOV's influence on country-level development indicators across the four cohorts. The findings help derive theoretical and policy implications while identifying avenues for future works.

scholarly journals Improved Simulated Annealing Based Network Model for E-Recycling Reverse Logistics Decisions under Uncertainty

2018 ◽  
Vol 2018 ◽  
pp. 1-17
Author(s):  
Lei Wang ◽  
Mark Goh ◽  
Ronggui Ding ◽  
Vikas Kumar Mishra
Keyword(s):  
Simulated Annealing ◽  
Reverse Logistics ◽  
Electronic Waste ◽  
Neighborhood Search ◽  
Generation Process ◽  
Candidate Solution ◽  
Novel Approach ◽  
Numerical Experimentation ◽  
The Government ◽  
Quantitative Importance

Electronic waste recycle (e-recycling) is gaining increasing importance due to greater environmental concerns, legislation, and corporate social responsibility. A novel approach is explored for designing the e-recycling reverse logistics network (RLN) under uncertainty. The goal is to obtain a solution, i.e., increasing the storage capacity of the logistics node, to achieve optimal or near-optimal profit under the collection requirement set by the government and the investment from the enterprise. The approach comprises two parts: a matrix-based simulation model of RLN formed for the uncertainty of demand and reverse logistics collection which calculates the profit under a given candidate solution and simulated annealing (SA) algorithm that is tailored to generating solution using the output of RLN model. To increase the efficiency of the SA algorithm, network static analysis is proposed for getting the quantitative importance of each node in RLN, including the static network generation process and index design. Accordingly, the quantitative importance is applied to increase the likelihood of generating a better candidate solution in the neighborhood search of SA. Numerical experimentation is conducted to validate the RLN model as well as the efficiency of the improved SA.

Fiscal Deficit and Economic Growth in Bangladesh

2016 ◽  
Vol 62 (1) ◽  
pp. 31-42 ◽  
Author(s):  
Ebney Ayaj Rana ◽  
Abu N. M. Wahid
Keyword(s):  
Economic Growth ◽  
Budget Deficit ◽  
Negative Impact ◽  
Political Stability ◽  
Ordinary Least Squares ◽  
Policy Implications ◽  
Government Budget ◽  
The Government ◽  
The Impact ◽  
Government Budget Deficit

The economy of Bangladesh is currently going through a period of continuous budget deficit. The present data suggest that the government budget deficit, on average, is nearly 5% of the country’s GDP. This has been true since the early 2000s. To finance this deficit, governments have been borrowing largely from domestic and foreign sources resulting in inflationary pressure on one hand, and crowding out of private investments on the other. During the same period, although the economy has grown steadily at a rate of more than 6%, this growth is less than the potential. This article presents an econometric study of the impact of government budget deficits on the economic growth of Bangladesh. We conduct a time-series analysis using ordinary least squares estimation, vector error correction model, and granger causality test. The findings suggest that the government budget deficit has statistically significant negative impact on economic growth in Bangladesh. Policy implications of our findings include reestablishing the rule of law, political stability in the country, restructuring tax structure, closing tax loopholes, and harmonizing fiscal policy with monetary policy to attract additional domestic and foreign investment.

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