scholarly journals The Spatial Patterns and Local Economic Determinant of Industrial Agglomeration in Semarang District, Indonesia

2020 ◽  
Vol 6 (2) ◽  
pp. 99-112
Author(s):  
R Agung Pangarso ◽  
R Suharyadi ◽  
R Rijanta
Keyword(s):  
Spatial Patterns ◽  
Manufacturing Industry ◽  
Agricultural Land ◽  
Nearest Neighbor ◽  
Spatial Regression ◽  
Spatial Dynamics ◽  
Industrial Agglomeration ◽  
Economic Changes ◽  
Industrial Specialization ◽  
Agricultural Households

Urbanization creates opportunities for Indonesia, potentially to boost economic growth and create vibrant cities (metropolitan). Urbanization and agglomeration economies should be an important element in Indonesia‘s development as a mid-income country. Manufacturing industry becomes a dominant economic sector in metropolitan area such as Semarang that shows urbanization-industrialization relationship. Industrial agglomeration potentially induces socio-economic changes in the region. To prepare these changes, it is important to understand the spatial dynamics of agglomeration and predict its determinants locally. This paper aims to answer questions related to the spatial patterns and determinants of industrial agglomeration in Semarang Regency, a periphery of Semarang metropolitan. Nearest Neighbor Analysis is used to identify spatial patterns, followed by Ellison and Glaeser Index to measure agglomeration strength, and Specialization Index to measure industrial specialization. Geographically Weighted Regression is used to identify determinants of agglomeration. Analysis uses geographical database of Large and Medium Industries in 2016 and related sub-district based data. Result shows 11 of 21 sub-sectors of industries geographically form clustered (agglomerated) pattern. Six of them are strongly agglomerated (most localized). High specializations in these six sub-sectors occur in 14 sub-districts. Result obtains a significant spatial regression model explains the effect of independent variables simultaneously occurring in three sub-sectors: beverages; wearing apparel; wood and products of wood and cork, except furniture, articles of straw and plaiting materials. Partially, industrial agglomeration by three sub-sector’s specializations in sub-district level is determined by variables: industrial employment; vocational school; Gross Regional Domestic Product; population; arterial road; agricultural land availability; and agricultural households.

Spatiotemporal clustering, social inequities and the risk of leptospirosis in an endemic area of Brazil: a retrospective spatial modelling

2020 ◽  
Author(s):  
Katyucia O C de Souza ◽  
José Augusto P Góes ◽  
Matheus S Melo ◽  
Paula M G Leite ◽  
Lucas A Andrade ◽  
...  
Keyword(s):  
Urban Areas ◽  
Spatial Regression ◽  
Temporal Trends ◽  
Spatial Dynamics ◽  
Secondary Data ◽  
The State ◽  
Scan Statistics ◽  
Northeastern Brazil ◽  
Metropolitan Region ◽  
Social Inequities

Abstract Background Leptospirosis is an endemic disease in Brazil of social and economic relevance related to behavioural and socioenvironmental factors. This study aimed to analyse the spatiotemporal distribution of the incidence of leptospirosis and its association with social determinants in health in a state of northeastern Brazil. Methods An ecological study of temporal series with techniques of spatial analysis using secondary data of the cases of leptospirosis notified in the Information System of Notifiable Diseases of the state of Sergipe (2008–2017) was conducted. The analysis of temporal trends was performed using Poisson regression. Spatial analyses were performed using the Moran index, the local empirical Bayesian model, scan statistics and spatial regression. Results The incidence rate decreased from 3.66 to 1.44 cases per 100 000 inhabitants in 2008 and 2017, respectively. Leptospirosis was associated with social inequities, mostly affecting males aged 20–49 y living in urban areas. The space-time scan indicated the formation of a risk cluster in municipalities in the metropolitan region of the state. Conclusions The data indicated the persistence of leptospirosis transmission, maintaining a pattern of high endemicity in some municipalities associated with social inequities. The study showed the temporal and spatial dynamics of the disease to better target specific actions for prevention and control.

scholarly journals The Impacts of the Geographic Distribution of Manufacturing Plants on Groundwater Withdrawal in China

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1158
Author(s):  
Yanting Zheng ◽  
Huidan Yang ◽  
Jinyuan Huang ◽  
Linjuan Wang ◽  
Aifeng Lv
Keyword(s):  
Manufacturing Industry ◽  
Tap Water ◽  
Demand Management ◽  
Spatial Regression ◽  
High Water ◽  
Groundwater Withdrawal ◽  
Ecological Environment ◽  
Manufacturing Plants ◽  
Water Users ◽  
Water Transmission

The overexploitation of groundwater in China has raised concern, as it has caused a series of environmental and ecological problems. However, far too little attention has been paid to the relationship between groundwater use and the spatial distribution of water users, especially that of manufacturing factories. In this study, a factory scatter index (FSI) was constructed to represent the spatial dispersion degree of manufacturing factories in China. It was found that counties and border areas between neighboring provinces registered the highest FSI increases. Further non-spatial and spatial regression models using 205 provincial-level secondary river basins in China from 2016 showed that the scattered distribution of manufacturing plants played a key role in groundwater withdrawal in China, especially in areas with a fragile ecological environment. The scattered distribution of manufacturing plants raises the cost of tap water transmission, makes monitoring and supervision more difficult, and increases the possibility of surface water pollution, thereby intensifying groundwater withdrawal. A reasonable spatial adjustment of manufacturing industry through planning and management can reduce groundwater withdrawal and realize the protection of groundwater. Our study may provide a basis for water-demand management through spatial adjustment in areas with high water scarcity and a fragile ecological environment.

scholarly journals Using Spatial Patterns of COVID-19 to Build a Framework for Economic Reactivation

2021 ◽  
Author(s):  
Renato Quiliche ◽  
Rafael Renteria-Ramos ◽  
Irineu de Brito Junior ◽  
Ana Luna ◽  
Mario Chong
Keyword(s):  
Spatial Patterns ◽  
Research Question ◽  
Spatial Regression ◽  
Mortality Rates ◽  
Main Research ◽  
Goods And Services ◽  
Long Run ◽  
Response And Recovery ◽  
Pandemic Response ◽  
Spatial Regression Analysis

In this article we propose an application of humanitarian logistics theory to build a supportive framework for economic reactivation and pandemic management based on province vulnerability against COVID-19. The main research question is: which factors are related to COVID-19 mortality between Peruvian provinces? We conduct a spatial regression analysis to explore which factors determines the differences in COVID-19 cumulative mortality rates for 189 Peruvian provinces up to December 2020. The most vulnerable provinces are characterized by having low outcomes of long-run poverty and high population density. Low poverty means a high economic activity that leads to more deaths of COVID-19. There is a lack of supply of a set of relief goods defined as Pandemic Response and Recovery Supportive Goods and Services (PRRSGS). These goods must be delivered in order to mitigate the risk associated to COVID-19. A supportive framework for economic reactivation can be built based on regression results and a delivery strategy can be discussed according to the spatial patterns that we found for mortality rates.

scholarly journals Influence of nutrient enrichment on temporal and spatial dynamics of dissolved oxygen within northern temperate estuaries

2021 ◽  
Vol 193 (12) ◽  
Author(s):  
MRS Coffin ◽  
KM Knysh ◽  
SD Roloson ◽  
CC Pater ◽  
E Theriaul ◽  
...  
Keyword(s):  
Dissolved Oxygen ◽  
Agricultural Land ◽  
Practical Implication ◽  
Chlorophyll Concentration ◽  
Spatial Dynamics ◽  
Spatial Relationship ◽  
Local Conditions ◽  
Depth Profiles ◽  
Primary Hypothesis ◽  
Oxygen Monitoring

AbstractIn temperate estuaries of the southern Gulf of St. Lawrence, intermittent seasonal anoxia coupled with phytoplankton blooms is a regular occurrence in watersheds dominated by agricultural land use. To examine the spatial relationship between dissolved oxygen and phytoplankton throughout the estuary to assist in designing monitoring programs, oxygen depth profiles and chlorophyll measurements were taken bi-weekly from May to December in 18 estuaries. In five of those estuaries, dissolved oxygen data loggers were set to measure oxygen at hourly intervals and at multiple locations within the estuary the subsequent year. The primary hypothesis was that dissolved oxygen in the upper estuary (first 10% of estuary area) is predictive of dissolved oxygen mid-estuary (50% of estuary area). The second hypothesis was that hypoxia/superoxia in the estuary is influenced by temperature and tidal flushing. Oxygen depth profiles conducted in the first year of study provided preliminary support that dissolved oxygen in the upper estuary was related to dissolved oxygen throughout the estuary. However, dissolved oxygen from loggers deployed at 10% and 50% of estuary area did not show as strong a correlation as expected (less than half the variance explained). The strength of the correlation declined towards the end of summer. Spatial decoupling of oxygen within the estuary suggested influence of local conditions. Chlorophyll concentration seemed also to be dependent on local conditions as it appeared to be coupled with the presence of sustained anoxia in the upper estuary with blooms typically occurring within 7 to 14 days of anoxia. The practical implication for oxygen monitoring is that one location within the most severely impacted part of the estuary is not sufficient to fully evaluate the severity of eutrophication effects.

scholarly journals Spatial Variation in Bacterioplankton Communities in the Pearl River, South China: Impacts of Land Use and Physicochemical Factors

2020 ◽  
Vol 8 (6) ◽  
pp. 814
Author(s):  
Lei Zhou ◽  
Weiyuan Chen ◽  
Jijia Sun ◽  
Li Liu ◽  
Xiande Huang
Keyword(s):  
Land Use ◽  
Environmental Factors ◽  
Spatial Patterns ◽  
Agricultural Land ◽  
Anthropogenic Activities ◽  
Specific Conductivity ◽  
Pearl River ◽  
Physicochemical Factors ◽  
The Pearl River ◽  
Bacterioplankton Communities

River ecosystems are critical for human and environmental health, with bacterioplankton playing a vital role in biogeochemical cycles. Unveiling the spatial patterns of bacterioplankton communities in relation to environmental factors is important for understanding the processes of microbial variation and functional maintenance. However, our understanding of the correlations among bacterioplankton communities, physicochemical factors, and land use, especially in large rivers affected by intensive anthropogenic activities, remains relatively poor. Here, we investigated the bacterioplankton communities in July 2018 in three main tributaries of the Pearl River, i.e., Beijiang, Xijiang, and Pearl River Delta, based on 16S rRNA high-throughput sequencing. Results showed that the most dominant phyla, Proteobacteria, Actinobacteria, Cyanobacteria, and Planctomycetes accounted for 33.75%, 22.15%, 11.65%, and 10.48% of the total abundance, respectively. The bacterioplankton communities showed remarkable differences among the three tributaries in terms of composition, structure, diversity, and predictive functional profiles. Mantel and partial Mantel tests revealed that the bacterioplankton communities were affected by physicochemical variables (p < 0.01) and land use (p < 0.01). Redundancy analysis identified specific conductivity, dissolved oxygen, agricultural land, ammonium, urban land, and water transparency as the dominant environmental factors influencing the bacterioplankton communities in the Pearl River. Variation partitioning analysis indicated that both physicochemical factors and land use had direct effects on the bacterioplankton community, and that land use may also shape bacterioplankton communities through indirect effects of physicochemical factors on riverine ecosystems. This study provides fundamental information on the diversity, spatial patterns, and influencing factors of bacterioplankton communities in the Pearl River, which should enhance our understanding of how such communities change in response to environmental gradients and anthropogenic activities.

scholarly journals Spatial Patterns of Brown Rot Epidemics and Development of Microsatellite Markers for Analyzing Fine-Scale Genetic Structure of Monilinia fructicola Populations Within Peach Tree Canopies

2012 ◽  
Vol 13 (1) ◽  
pp. 28 ◽  
Author(s):  
S. E. Everhart ◽  
A. Askew ◽  
L. Seymour ◽  
T. C. Glenn ◽  
H. Scherm
Keyword(s):  
Microsatellite Markers ◽  
Spatial Patterns ◽  
Spatial Dynamics ◽  
Brown Rot ◽  
Fruit Rot ◽  
Monilinia Fructicola ◽  
Peach Tree ◽  
Fine Scale ◽  
Tree Canopies ◽  
Diseased Fruit

To better understand the fine-scale spatial dynamics of brown rot disease and corresponding fungal genotypes, we analyzed three-dimensional spatial patterns of pre-harvest fruit rot caused by Monilinia fructicola in individual peach tree canopies and developed microsatellite markers for canopy-level population genetics analyses. Using a magnetic digitizer, high-resolution maps of fruit rot development in five representative trees were generated, and M. fructicola was isolated from each affected fruit. To characterize disease aggregation, nearestneighbor distances among symptomatic fruit were calculated and compared with appropriate random simulations. Within-canopy disease aggregation correlated negatively with the number of diseased fruit per tree (r = −0.827, P = 0.0009), i.e., aggregation was greatest when the number of diseased fruit was lowest. Sixteen microsatellite primers consistently amplified polymorphic regions in a geographically diverse test population of 47 M. fructicola isolates. None of the test isolates produced identical multilocus genotypes, and the number of alleles per locus ranged from 2 to 16. We are applying these markers to determine fine-scale population structure of the pathogen within and among canopies. Accepted for publication 23 May 2012. Published 23 July 2012.

AGRICULTURAL LAND PRIVATIZATION IN POLAND

2019 ◽  
Vol XXI (3) ◽  
pp. 299-307
Author(s):  
Jacek Maśniak ◽  
Andrzej Jędruchniewicz
Keyword(s):  
Agricultural Land ◽  
Point Of View ◽  
Private Land ◽  
Upward Trend ◽  
Market Prices ◽  
Economic Point ◽  
Agricultural Households ◽  
Land Privatization ◽  
Market Allocation ◽  
Political Decisions

The aim of the article is to present the process of agricultural land privatization in Poland, taking into account the role that this policy has played in terms of shaping the Polish agricultural model, based on family households. The purpose of the agrarian system shaping policy is the protection and development of family households. To this end, the said group of agricultural households is being granted privileges in terms of access to agricultural land. From an economic point of view, it translates into replacing market allocation with political decisions. The sale of agricultural land on behalf of the state was conducted by the Agricultural Property Agency (APA), which on 1 September 2017 was merged with the Agricultural Market Agency and transformed into the National Center for Agricultural Support. Between 1992 and 2017, a total of over 2.6 million ha of agricultural land (amounting to 55% of all acquired land) was sold. Natural persons acquired a total of 81% of privatized agricultural land, 19% of which was acquired by legal entities. In the years 2005-2017, the prices of agricultural land demonstrated an upward trend. The prices obtained by the Agency were very close to private market prices. The average price amounted to EUR 4,504 per 1 ha in the case of state-owned land and EUR 4,716 per 1 ha in the case of private land.

SPATIO-TEMPORAL PATTERNS IN A CHOLERA TRANSMISSION MODEL

2015 ◽  
Vol 23 (03) ◽  
pp. 471-484 ◽  
Author(s):  
A. K. MISRA ◽  
MILAN TIWARI ◽  
ANUPAMA SHARMA
Keyword(s):  
Spatial Patterns ◽  
Dimensional Space ◽  
Spatial Dynamics ◽  
Transmission Model ◽  
Cholera Epidemic ◽  
Temporal System ◽  
Spatially Extended ◽  
Variable Population ◽  
Spatio Temporal ◽  
Variable Population Size

Cholera has been a public health threat for centuries. Unlike the biological characteristics, relatively less effort has been paid to comprehend the spatial dynamics of this disease. Therefore, in this paper, we have proposed a cholera epidemic model for variable population size and studied the spatial patterns in two-dimensional space. First, we have performed the equilibrium and local stability analysis of steady states obtained for temporal system. Afterwards, the local and global stability behavior of the endemic steady state in a spatially extended setting has been investigated. The numerical simulations have been done to investigate the spatial patterns. They show that dynamics of the cholera epidemic varies with time and space.

scholarly journals Ecological status of surface water of the river Stokhid basin

2017 ◽  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Agricultural Land ◽  
Spatial Dynamics ◽  
Ecological Status ◽  
Surface Water Quality ◽  
Treated Wastewater ◽  
Clean Water ◽  
Environmental Indices ◽  
The Village

Purpose. The analysis of the surface water quality of the Stokhid river, the definition of the class and the category of water quality. Methods. Comparative geographic, analytical, generalization and systematization. Results. Inner annual dynamics of the components of the hydro chemical conditions of surface water composition is closely linked with river runoff, the formation of which occurs due to loss of precipitation and nutrition of groundwater. Based on the analysis of monitoring observations, carried out by the State Environmental Inspectorate in the Volyn region for the period from 2007 to 2017, it has been determined the multi-year time and spatial dynamics of the average annual values of integrated environmental indices by the average values. They are following: in the village Malinovka IEaver. = 2,2 and in Lyubeshiv village IE aver. = 2,4. The water of river Stokhid belongs to the second class of quality ("good", "pure"), to the second category ("very good", "very pure") and subcategories 2 (3) ("very good", " clean" water with a tendency to approach the category of "good", "fairly clean") respectively. Dynamics of average annual values of integral ecological indexes for the worst values in village Malinovka IEworst = 2,6 and in the village Lyubeshiv IEworst = 2,8 was characterized by water of the second class ("good", "pure"), third category ("good", "fairly clean"), subcategory 2-3 (water transitions in quality from "very good", "pure" to "good", "fairly clean") and subcategory 3 (2) ("good", "fairly clean" water with a bias to "very good", "clean"). Conclusions. In general, it should be noticed, that when calculating the values of integral ecological indexes, the value of the indexes of trophic and sapro-biological indicators are the worst. Compounds of Nitrogen was among the substances that determined the water quality as "very poor" and "very dirty". Increased levels of Nitrogen compounds in the Stokhid river is mainly due to the intake of insufficiently treated wastewater, surface runoff from agricultural land and the decomposition of non-living organic matter in the spring.

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