The role of central government and local government and the moderating effect of good governance on forest fire policy in Indonesia

2019 ◽  
Vol 26 (1) ◽  
pp. 147-159
Author(s):  
Raffles Brotestes Panjaitan ◽  
Sumartono Sumartono ◽  
Sarwono Sarwono ◽  
Choirul Saleh
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Local Governments ◽  
Central Government ◽  
Good Governance ◽  
Fire Prevention ◽  
Fire Policy ◽  
Content Type ◽  
Forest Fire Prevention

Purpose The purpose of this paper is to investigate forest fires and their relationship to prevention and mitigation strategies based on the empirical problems raised by this study. Public policy implementation (in this case, the policy of forest fire management) is influenced by the role played by government and by the participation of the public and stakeholders (in this case, companies), as well as the effects of good governance. Thus, from the empirical problems associated with theoretical problems and normative problems, this study raises the influence of the role of central and local government on the implementation of forest fire prevention policy in Indonesia, which is moderated by the good governance variable. Design/methodology/approach This study used a quantitative approach by adopting survey methodology. The study has aimed to assess both large and small population groups, by selecting and reviewing carefully chosen samples of the population to find the incidence, distribution and relative interrelation of the variables considered (Kerlinger and Lee, 2000). The survey was undertaken in areas of Indonesia that have a high level of vulnerability to forest fires. There are currently six provinces – Riau, Jambi, South Sumatra, West Kalimantan, East Kalimantan and South Kalimantan – that have the highest intensity of forest fires. The study population was taken from 105 villages in those six major provinces experiencing forest fires. Sample size precision was determined by using Slovin’s formula with a precision of 10 percent and, thus, a sample size of 52 was obtained. Findings The central government’s activities have no significant effect on regional forest fire prevention. However, the results found that there is a significant effect caused by the interaction between the central and local governments and their governance of forest fire prevention. Even though the direct effect is not significant, the interaction effect significantly influences the forest fire prevention governance variable, which is a pure moderator. This study found that the role of central government has no effect on forest fire prevention. If the role of the central government is high, it will not impact the effectiveness of forest fire prevention, which is reflected in the aspects of prevention and early warning, reward and punishment, the improvement and management of ecosystems by reviewing courts, law enforcement and national and regional synergy. Originality/value This is one of the few public administration science studies to have investigated the relationship between good governance and forest fire policy in Indonesia, particularly the combined roles played by central and local governments.

The effect of community and company participation and implementation of good forest fire governance on the forest fire policy in Indonesia

2019 ◽  
Vol 10 (1) ◽  
pp. 102-115 ◽  
Author(s):  
Adji Achmad Rinaldo Fernandes ◽  
Raffles Brotestes Panjaitan ◽  
Solimun Solimun
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Good Governance ◽  
Least Squares Method ◽  
Descriptive Analysis ◽  
Survey Method ◽  
Fire Policy ◽  
Forest Zone ◽  
Content Type ◽  
High Level

Purpose The purpose of this research is to analyze the effect of community and company participation on corporate governance and forest fire prevention in the forest zone, which has a high level of vulnerability to forest fires, in Indonesia. Design/methodology/approach The survey method in this research used a quantitative approach with the survey method, with the sample being forest areas having a high level of vulnerability to forest fires in Indonesia. This study used a questionnaire instrument and was conducted from January to March 2017. The research population was 105 villages located in forest areas in six major provinces known to endure the largest forest fires in Indonesia. From a total population of 258 villages, 52 were selected for this study. The proportional random sampling area technique was used. The data analysis methods selected in this research were descriptive analysis and inferential statistical analysis using the partial least squares method. Findings Community and company participation has a significant effect on the implementation of good governance. The implementation of good governance has a significant effect and community and company participation has no direct effect on the forest fire policy, but through good governance mediation, an indirect effect of community participation on the forest fire policy is seen. Originality/value No previous research has comprehensively studied the role of community and company participation and implementation of good forest fire governance on the forest fire policy.

scholarly journals PERAN BADAN PENANGGULANGAN BENCANA DAERAH DALAM UPAYA PENCEGAHAN BENCANA KEBAKARAN HUTAN DAN LAHAN (KARHUTLA) DI KABUPATEN MUSI BANYUASIN

2021 ◽  
pp. 41-46
Author(s):  
Tri Anggraini ◽  
Dimas Agustian
Keyword(s):  
Risk Assessment ◽  
Disaster Management ◽  
Forest Fires ◽  
Qualitative Method ◽  
Fire Prevention ◽  
Fire Disaster ◽  
Forest Fire Prevention ◽  
High Level ◽  
Depth Interviews

Abstract Musi Banyuasin is a district with a high level of vulnerability to forest and land fire disasters. Therefore, prevention efforts are needed to minimize forest fires again. Forest fire prevention efforts are activities that are the responsibility of all relevant stakeholders in Musi Banyuasin, one of which is the Regional Disaster Management Agency (BPBD) of Musi Banyuasin Regency. This research will focus on the role of BPBD in efforts to prevent forest and land fires in Musi Banyuasin Regency. The method used in this research is descriptive qualitative method of observation and in-depth interviews. The results of the study show that the BPBD of Musi Banyuasin Regency plays a role in accordance with its functions and obligations as a regional BPBD, namely as an organization that conducts risk studies of Kahutlha fire-prone areas in Musi Banyuasin Regency. The area risk assessment is carried out in three main stages, namely determining the condition of the area, determining the condition of the land through the level of vulnerability and hotspots, and finally informing the condition to the local government and the community through outreach activities.   Keywords:BPBD, Fire Disaster, Kahutlha,  Prevention   Abstrak Musi Banyuasin merupakan kabupaten dengan tingkat kerawanan level tinggi terhadap bencana kebakaran hutan dan lahan, Oleh karenanya, perlu adanya upaya pencegahan untuk meminim lisirter jadi kebarakan hutan kembali. Upaya pencegahan kebakaran hutan merupakan kegiatan yang menjadi tanggung jawab seluruh stakeholder terkait di Musi Banyuasin salah satunya adalah Badan Penanggulangan Bencana Daerah (BPBD) Kabupaten Musi Banyuasin. Penelitian ini akan berfokus pada peran BPBD dalam upaya pencegahan kebakaran hutan dan lahan di Kabupaten Musi Banyuasin. Metode yang digunakan dalam penelitian ini adalah deskriptif kualitatif dengan metode observasi dan wawancana mendalam. Hasil penelitian menunjukkan bahwa BPBD Kabupaten Musi Banyuasin berperan sesuai dengan fungsi dan kewajibannya sebagai BPBD daerah yaitu sebagai organisasi yang melakukan kajian resiko Kawasan rawan kebakaran Karhutla di Kabupaten Musi Banyuasin. Kajian resiko Kawasan dilakukan dengan tiga tahapan utama yaitu menetapkan kondisi daerah, menetapkan kondisi lahan melalui tingkat kerawanan dan titik panas, dan terakhir adalah menginformasi kondisi kepada pemerintah daerah dan masyakarat melalui kegiatan sosialisasi.   Kata Kunci:BencanaKebakaran, BPBD, Karhutla, Pencegahan  

scholarly journals Chinese forest fire occurrence prediction based on machine learning methods

2021 ◽  
Author(s):  
yudong Li ◽  
Zhongke Feng ◽  
Ziyu Zhao ◽  
Wenyuan Ma ◽  
Shilin Chen ◽  
...  
Keyword(s):  
Random Forest ◽  
Forest Fire ◽  
Forest Fires ◽  
Prevention And Control ◽  
Prediction Models ◽  
Area Under The Curve ◽  
Fire Prevention ◽  
Fire Occurrence ◽  
Forest Fire Prevention ◽  
And Control

Abstract Forest fires can cause serious harm. Scientifically predicting forest fires is an important basis for preventing them. Currently, there is little research on the prediction of long time-series forest fires in China. Choosing a suitable forest fire prediction model and predicting the probability of Chinese forest fire occurrence are of great importance to China’s forest fire prevention and control work. Based on fire hotspot, meteorological, terrain, vegetation, infrastructure, and socioeconomic data collected from 2003 to 2016, we used a random forest model as a feature-selection method to identify 13 major drivers of forest fires in China. The forest fire prediction models developed in this study are based on four machine-learning algorithms: an artificial neural network, a radial basis function network, a support-vector machine, and a random forest. The models were evaluated using the five performance indicators of accuracy, precision, recall, f1 value, and area under the curve. We used the optimal model to obtain the probability of forest fire occurrence in various provinces in China and created a spatial distribution map of the areas with high incidences of forest fires. The results showed that the prediction accuracy of the four forest fire prediction models was between 75.8% and 89.2%, and the area under the curve value was between 0.840 and 0.960. The random forest model had the highest accuracy (89.2%) and area under the curve value (0.96); thus, it was used as the optimal model to predict the probability of forest fire occurrence in China. The prediction results indicate that the areas with high incidences of forest fires are mainly concentrated in north-eastern China (Heilongjiang Province and northern Inner Mongolia Autonomous Region) and south-eastern China (including Fujian Province and Jiangxi Province). In areas at high risk of forest fire, management departments can improve forest fire prevention and control by establishing watch towers and using other monitoring equipment. This study helps in understanding the main drivers of forest fires in China, provides a reference for the selection of high-precision forest fire prediction models, and provides a scientific basis for China’s forest fire prevention and control work.

scholarly journals Forest Fire Prevention, Detection, and Fighting Based on Fuzzy Logic and Wireless Sensor Networks

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Josué Toledo-Castro ◽  
Pino Caballero-Gil ◽  
Nayra Rodríguez-Pérez ◽  
Iván Santos-González ◽  
Candelaria Hernández-Goya ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Forest Fire ◽  
Forest Fires ◽  
Fire Spread ◽  
Wireless Sensor ◽  
Fire Prevention ◽  
Dynamic Risk Factors ◽  
Forest Fire Prevention

Huge losses and serious threats to ecosystems are common consequences of forest fires. This work describes a forest fire controller based on fuzzy logic and decision-making methods aiming at enhancing forest fire prevention, detection, and fighting systems. In the proposal, the environmental monitoring of several dynamic risk factors is performed with wireless sensor networks and analysed with the proposed fuzzy-based controller. With respect to this, meteorological variables, polluting gases and the oxygen level are measured in real time to estimate the existence of forest fire risks in the short-term and to detect the recent occurrence of fire outbreaks over different forest areas. Besides, the Analytic Hierarchy Process method is used to determine the level of fire spread, and, when necessary, environmental alerts are sent by a Web service and received by a mobile application. For this purpose, integrity, confidentiality, and authenticity of environmental information and alerts are protected with implementations of Lamport’s authentication scheme, Diffie-Lamport signature, and AES-CBC block cipher.

Waldbrandprävention im Kanton Graubünden | Forest fire prevention in Canton Grisons

2010 ◽  
Vol 161 (11) ◽  
pp. 460-464
Author(s):  
Andrea Kaltenbrunner
Keyword(s):  
Water Supply ◽  
Forest Fire ◽  
Forest Fires ◽  
Fire Risk ◽  
Fire Fighting ◽  
Fire Prevention ◽  
Insurance Company ◽  
Forest Fire Prevention ◽  
Precautionary Measures ◽  
Regional Forest

Thanks to fast alarm systems and modern fire-fighting equipment most forest fires can be extinguished while still very small. Nevertheless, the fire brigade and forest organisations in the Grisons are recurringly confronted with larger fires. Over the past twenty years the Grisons Forestry Service and the fire section of the cantonal Building Insurance Company have invested in fire prevention and improved fire-fighting techniques. To monitor and assess the risk of forest fires, the computer-aided forest fire forecasting system “Incendi” was developed. On its basis, regional forest fire risk maps are drawn up and bans on the lighting of fires are imposed. For use in case of fire, the Forestry Service has drawn up maps of the whole Canton Grisons showing water supply points in and near the forest. Where there are gaps in the water supply, artificial water sources are being created. Fifteen years ago a concept of forest fire-fighting bases was elaborated. The most important elements of this concept are the 18 regional depots of mobile fire-fighting material, which in case of emergency can be transported where needed. The present-day administrative structures and the precautionary measures taken in the Grisons fulfil the conditions for efficient forest fire prevention and control.

The diffusion of accounting reform in Sri Lanka: an analysis of two layers of diffusion among three levels of government

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thusitha Dissanayake ◽  
Steven Dellaportas ◽  
Prem W.S. Yapa
Keyword(s):  
Sri Lanka ◽  
Diffusion Of Innovation ◽  
Local Governments ◽  
Central Government ◽  
Provincial Government ◽  
Accrual Accounting ◽  
Diffusion Of Innovation Theory ◽  
Content Type ◽  
True Value

PurposeThe purpose of this study is to evaluate the implementation of accrual accounting among two layers of government in Sri Lanka. This study examines the process of diffusion and application among and between provincial governments and local governments to assess the barriers and enablers on the implementation of accrual accounting.Design/methodology/approachThe study relies on data collected through interviews with 30 accounting and finance personnel from all levels of government active in the diffusion process. Interviews were conducted to gather and assess their insights and perceptions on the diffusion of accrual accounting. The data are examined initially using Rogers (1995) “diffusion of innovation” theory to explain the factors influencing the diffusion and adoption of accrual accounting at two levels of government but the analysed primarily by comparing the perspectives of respondents between the different layers of government.FindingsThe findings show that the adoption of accrual accounting was more effective among local governments compared with provincial governments. The lack of effective communication and engagement from the leaders of the innovation failed to persuade provincial government adopters of the true value of the accounting reform. This is contrasted with local governments who openly adopted accrual accounting but not in response to pressure from provincial government, who have oversight responsibility for local governments, but in response to funding protocols initiated by the central government to account for grant funding.Research limitations/implicationsThe findings of the study should be interpreted with caution as the data are obtained from the narrow cohort of accounting and finance professionals and may not reflect the views or experience of all stakeholders involved in the diffusion of accrual accounting.Originality/valueThe paper contributes to the diffusion of accounting innovation literature by examining the role of key players in different layers of government, particularly visible among provincial governments where the lack of engagement delayed its commitment to the implementation of accrual accounting.

scholarly journals Research on Multi-Factor Forest Fire Prediction Model Using Machine Learning Method in China

2020 ◽  
Author(s):  
yudong Li ◽  
Zhongke Feng ◽  
Ziyu Zhao ◽  
Shilin Chen ◽  
Hanyue Zhang
Keyword(s):  
Random Forest ◽  
Forest Fire ◽  
Forest Fires ◽  
Prevention And Control ◽  
Prediction Models ◽  
Area Under The Curve ◽  
Fire Prevention ◽  
Forest Fire Prevention ◽  
Control Work ◽  
And Control

Abstract Forest fires can cause serious harm in many ways. Studying the scientific prediction of forest fires is an important basis for preventing such fires. At present, there is little research on the prediction of long time series forest fires in China. Choosing a suitable forest fire prediction model is of great importance to China’s forest fire prevention and control work. Based on data on fire hotspots, meteorology, terrain, vegetation, infrastructure, and socio-economics collected from 2003 to 2016, we used a random forest model as a feature-selection method to determine 13 major drivers of forest fires in China (such as temperature, terrain etc.). The forest fire prediction models developed in this study are based on four machine-learning algorithms: an artificial neural network, a radial basis function network, a support-vector machine, and a random forest. The models were evaluated using the five performance indicators of accuracy, precision, recall, f1 value, and area-under-the-curve value. We used the optimal model to obtain the probability of forest fire occurrence in various provinces in China and create a spatial distribution map of the areas with high incidences of forest fires. The results show that the prediction accuracy of the four forest fire prediction models is between 75.8% and 89.2%, and the area-under-the-curve value is between 0.840 and 0.960. The random forest model has the highest accuracy (89.2%) and area-under-the-curve value (0.96). It is used as the optimal model to predict the probability of forest fire occurrence in China. The prediction results indicate that the areas with high incidences of forest fires are mainly concentrated in northeastern China (Heilongjiang Province and northern Inner Mongolia Autonomous Region), southeastern China (including Fujian Province and Jiangxi Province) etc. In those areas at high risk of forest fires, the management departments can improve the forest fire prevention and control by establishing watch towers and using other monitoring equipment. This study not only helps in understanding the main drivers of forest fires in China, but it also provides a reference for the selection of high-precision forest fire prediction models and provides a scientific basis for China’s forest fire prevention and control work.

scholarly journals Remote Sensing and GIS Application to Establish a Forest Fire Risk Map for Planning of Forest Fire Prevention and Mitigation in Son La Province, Vietnam

2017 ◽  
Vol 33 (3) ◽  
Author(s):  
Pham Xuan Canh
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Fire Risk ◽  
Fire Prevention ◽  
Risk Map ◽  
Natural Reserve ◽  
Landsat 7 ◽  
Forest Fire Prevention ◽  
Reserve Forest ◽  
Forest Fire Risk

Son La is a mountainous province in the Northwest of Vietnam with many ethnic groups, and has an area of ​​14,125 km², accounting for 4.27% of the total area of ​​Vietnam. The ​​forest land accounts for 73% of the total natural area of ​​the province with 357,000 ha of forest. Among this having 4 areas of special use and the natural reserve forest. Every year, hundreds of forest fires cause huge natural, economic and ecological damages to the province. Due to the climate change, forest fires tend to increase in recent years. In order to prevent the fires, warning maps of the forest fire risk are needed. The research has analyzed mechanism and causes of the forest fires, and built a forest fire-related database with multi-layers of natural, social and economic information, in these, some layers were extracted from the Landsat 7 images. The expert method was applied for assessement and Saaty's Hierarchical Analysis (AHP) methods were applied to determine the weight for separated parameters related to forest fires. The research applied the MCA method to build a multi-indicator function with 9 parameters for establishing the forest fire risk map at the scale of 1:100,000 for provincial levels. In verifying the results by regression correlation analysis, the R2 value reached 0.71.These maps have been used for the purpose of forest fire prevention planning for Son La province.

scholarly journals Innovative Action for Forest Fire Prevention in Kythira Island, Greece, through Mobilization and Cooperation of the Population: Methodology and Challenges

2022 ◽  
Vol 14 (2) ◽  
pp. 594
Author(s):  
Gavriil Xanthopoulos ◽  
Miltiadis Athanasiou ◽  
Alexia Nikiforaki ◽  
Konstantinos Kaoukis ◽  
Georgios Mantakas ◽  
...  
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Final Section ◽  
Forest Ecosystems ◽  
Fire Prevention ◽  
Forest Fuels ◽  
Depth Analysis ◽  
Forest Fire Prevention ◽  
Forest Rehabilitation ◽  
Innovative Action

The island of Kythira in Greece suffered a major forest fire in 2017 that burned 8.91% of its total area and revealed many challenges regarding fire management. Following that, the Hellenic Society for the Protection of Nature joined forces with the Institute of Mediterranean and Forest Ecosystems in a project aiming to improve fire prevention there through mobilization and cooperation of the population. This paper describes the methodology and the results. The latter include an in-depth analysis of fire statistics for the island, development of a forest fuels map, and prevention planning for selected settlements based on fire modeling and on an assessment of the vulnerability of 610 structures, carried out with the contribution of groups of volunteers. Emphasis was placed on informing locals, including students, through talks and workshops, on how to prevent forest fires and prepare their homes and themselves for such an event, and on mobilizing them to carry out fuel management and forest rehabilitation work. In the final section of the paper, the challenges that the two partners faced and the project achievements and shortcomings are presented and discussed, leading to conclusions that can be useful for similar efforts in other places in Greece and elsewhere.

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