Analyzing China’s Provincial Environmental Emissions and Its Influencing Factors: A Spatial Analysis

2021 ◽  
Author(s):  
Xing Wang ◽  
Dequn Zhou
Keyword(s):  
Spatial Analysis ◽  
Spatial Dependence ◽  
Transmission Mechanism ◽  
Level Data ◽  
Environmental Emissions ◽  
Per Capita ◽  
Global And Local ◽  
Province Level ◽  
Local Perspectives ◽  
Spatial Transmission

Abstract In-depth analyses of the spatial heterogeneity in environmental emissions, and the causes of differences are of great importance for contributing to provide reference for reduction policies. However, a spatial analysis of the existence and mechanism of China’s environmental emissions is still ignored. Using the province-level data of thirty provinces in China over 2005-2017, this paper constructs a spatial Durbin model (SDM) to empirically address the existence and spatial transmission mechanism of environmental emissions. The main results are as follows: first, China’s environmental emissions show significant characteristics of spatial dependence and clustering from global and local perspectives, indicating that the existence of spatial autocorrelation in environmental emissions across regions. Second, both per capita GDP and urbanization have positive impacts on environmental emissions, but the impacts of environmental regulation and FDI are insignificant. Third, urbanization not only directly influences environmental emissions, but also indirectly influences environmental emissions. Our analysis provides valuable information for developing policies to effectively alleviate pollution.

scholarly journals Analyzing China’s provincial pollution and its influencing factors: A spatial analysis

2021 ◽  
Author(s):  
Xing Wang ◽  
Dequn Zhou
Keyword(s):  
Spatial Analysis ◽  
Spatial Dependence ◽  
Transmission Mechanism ◽  
Per Capita Gdp ◽  
Level Data ◽  
Per Capita ◽  
Global And Local ◽  
Province Level ◽  
Local Perspectives ◽  
Spatial Transmission

Abstract In-depth analyses of the spatial heterogeneity in pollution, and the causes of differences are of great importance for contributing to provide reference for reduction policies. However, a spatial analysis of the existence and mechanism of China’s pollution is still ignored. Using the province-level data of thirty provinces in China over 2005–2017, this paper constructs a spatial Durbin model (SDM) to empirically address the existence and spatial transmission mechanism of pollution. The main results are as follows: first, China’s pollution shows significant characteristics of spatial dependence and clustering from global and local perspectives, indicating that the existence of spatial autocorrelation in pollution across regions. Second, both per capita GDP and urbanization have positive impacts on pollution, but the impacts of environmental regulation and FDI are insignificant. Third, urbanization not only directly influences pollution, but also indirectly influences pollution. Our analysis provides valuable information for developing policies to effectively alleviate pollution.

scholarly journals A SPATIAL REGRESSION APPROACH TO FDI IN VIETNAM: PROVINCE-LEVEL EVIDENCE

2017 ◽  
Vol 62 (02) ◽  
pp. 459-481 ◽  
Author(s):  
BULENT ESIYOK ◽  
MEHMET UGUR
Keyword(s):  
Indirect Effects ◽  
Spatial Dependence ◽  
Spatial Regression ◽  
Domestic Investment ◽  
Labor Costs ◽  
Policy Makers ◽  
Regression Approach ◽  
Per Capita ◽  
Openness To Trade ◽  
Province Level

Foreign direct investment (FDI) flows into Vietnam have increased significantly in recent years and are distributed unequally between provinces. This paper aims to investigate the locational determinants of FDI in 62 Vietnamese provinces and whether spatial dependence is a significant factor that both researchers and policy-makers should take into account. We report that province-specific per-capita income, secondary education enrolment, labor costs, openness to trade, and domestic investment affect FDI directly within the province itself and have indirect effects on FDI in neighboring provinces. The direct and indirect effects coexist with spill-over effects and spatial dependence between provinces. Our findings indicate that FDI in Vietnam reflects a combination of complex vertical and export platform motivations on the part of foreign investors; and an agglomeration dynamics that may perpetuate the existing regional disparities in the distribution of FDI capital between provinces.

scholarly journals Spatial Analysis of The Influence of Education And Income on Indonesia's Democracy Index In 2015 And 2019

ijd-demos ◽  
2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Fauzan Zahid Abiduloh ◽  
Chotib Hasan
Keyword(s):  
Spatial Analysis ◽  
Spatial Econometrics ◽  
Spatial Dependence ◽  
Central Bureau ◽  
Spatial Effects ◽  
Quality Of Democracy ◽  
Level Of Education ◽  
Per Capita ◽  
Index Value

Abstract:This research discusses the spatial effects of education and income influences on the 2015 and 2019 Democracy Index of Indonesia. The income variable used is Gross Regional Domestic Product (GRDP) per capita, and the education variable used is the average year of schooling. All of the data are collected from the website of the Indonesian Central Bureau of Statistics, namely www.bps.go.id. Using spatial econometrics, researchers found that the distribution of the democratic index value in each province forms a group spatial systemic pattern. Provinces with high democracy index scores tend to be surrounded by provinces that have high democracy index scores, while provinces with low democracy index scores tend to be surrounded by provinces that have low democracy index scores. Researchers also found a spatial dependence on the influence of education and income on the index of democracy in neighboring provinces. Thus, it can be concluded that the quality of democracy in a province is not only caused by the level of education and income in the province, but also by its neighboring provinces.Keywords: indonesia’s democracy index, education, income, spatial econometrics. Abstrak:Penelitian ini membahas pengaruh spasial variabel pendidikan dan pendapatan terhadap Indeks Demokrasi Indonesia 2015 dan 2019. Variabel pendapatan yang digunakan adalah Produk Domestik Regional Bruto (PDRB) perkapita, dan variabel pendidikan yang digunakan adalah rata-rata lama sekolah. Semua data dikumpulkan dari website Badan Pusat Statistik Indonesia, yaitu www.bps.go.id. Dengan menggunakan ekonometrik spasial, peneliti menemukan bahwa sebaran nilai indeks demokrasi di setiap provinsi membentuk pola sistemik spasial berkelompok. Provinsi dengan skor indeks demokrasi yang tinggi cenderung dikelilingi oleh provinsi yang memiliki skor indeks demokrasi yang tinggi pula, sedangkan provinsi dengan skor indeks demokrasi yang rendah cenderung dikelilingi oleh provinsi yang memiliki skor indeks demokrasi rendah. Peneliti juga menemukan adanya efek spasial dalam pengaruh pendidikan dan pendapatan terhadap indeks demokrasi di provinsi tetangga. Dengan demikian, dapat disimpulkan bahwa kualitas demokrasi di suatu provinsi tidak hanya disebabkan oleh tingkat pendidikan dan pendapatan di provinsi tersebut, tetapi juga oleh provinsi tetangganya.Kata kunci:  indeks demokrasi indonesia, pendidikan, pendapatan, ekonometrika spasial

scholarly journals Study of cocaine seizures through spatial analysis

2021 ◽  
Vol 10 (3) ◽  
pp. e48610313571
Author(s):  
Mayrla Emília Dantas Vasconcelos ◽  
Sayonara Maria Lia Fook ◽  
Ricardo Alves de Olinda ◽  
Nícia Stellita da Cruz Soares ◽  
Ivana Maria Fechine ◽  
...  
Keyword(s):  
Public Health ◽  
Spatial Analysis ◽  
Drug Trafficking ◽  
Spatial Dependence ◽  
Public Health Problem ◽  
Level Of Education ◽  
The Public ◽  
Cocaine Hydrochloride ◽  
The Individual ◽  
Global And Local

Cocaine trafficking and consumption continues to prosper despite the public policies that are in force in Brazil, despite its use for thousands of years, it is currently a public health problem. This study aimed to report the sociodemographic variables of individuals apprehended with cocaine and who were framed in Law n°. 11,343 of August 2006, in the municipality of Campina Grande, in 2017. It was a hybrid study, with a transversal, retrospective cut and ecological, with a quantitative approach. The neighborhood area variable was distributed in thematic maps and the spatial autocorrelation was measured by the Moran Global and Local indexes, which quantify the degree of autocorrelation. 210 cocaine seizures were recorded, of which 146 occurred in the municipality of Campina Grande, of these, only 94 presented all the data and were considered in this study. The months of September (n = 14) and October (n = 13) had the highest records of seizures. As for the pattern of use, crack in the yellowish stone form was predominant (n = 46), followed by cocaine hydrochloride in the form of white powder (n = 40). The profile of the individual apprehended with cocaine in the municipality was that of a young, single, unemployed and with low level of education. The predominant framework was drug trafficking (n = 75) according to Article nº. 33 of Law nº. 11,343 / 2006. The neighborhoods that registered the highest number of seizures were José Pinheiro (n = 15) and Pedregal (n = 8). The Moran General and Local indexis (p> 0.05), did not show spatial dependence between neighboring neighborhoods, that is, there is no autocorrelation for the analyzed variable.

scholarly journals Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wei Liu ◽  
Dongming Wang ◽  
Shuiqiong Hua ◽  
Cong Xie ◽  
Bin Wang ◽  
...  
Keyword(s):  
Population Density ◽  
Disease Surveillance ◽  
Influence Factors ◽  
Spatiotemporal Analysis ◽  
Disease Surveillance System ◽  
Local Aggregation ◽  
Short Time ◽  
Effective Public Health ◽  
Global And Local ◽  
Spatial Transmission

AbstractFew study has revealed spatial transmission characteristics of COVID-19 in Wuhan, China. We aimed to analyze the spatiotemporal spread of COVID-19 in Wuhan and its influence factors. Information of 32,682 COVID-19 cases reported through March 18 were extracted from the national infectious disease surveillance system. Geographic information system methods were applied to analysis transmission of COVID-19 and its influence factors in different periods. We found decrease in effective reproduction number (Rt) and COVID-19 related indicators through taking a series of effective public health measures including restricting traffic, centralized quarantine and strict stay-at home policy. The distribution of COVID-19 cases number in Wuhan showed obvious global aggregation and local aggregation. In addition, the analysis at streets-level suggested population density and the number of hospitals were associated with COVID-19 cases number. The epidemic situation showed obvious global and local spatial aggregations. High population density with larger number of hospitals may account for the aggregations. The epidemic in Wuhan was under control in a short time after strong quarantine measures and restrictions on movement of residents were implanted.

scholarly journals The Effect of Social Behavior on Residential Water Consumption

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1184
Author(s):  
Daniel Morales Martínez ◽  
Alexandre Gori Maia
Keyword(s):  
Water Consumption ◽  
Spatial Dependence ◽  
Regression Models ◽  
Innovative Strategy ◽  
Peer Effect ◽  
Household Level ◽  
Level Data ◽  
Household Water ◽  
Residential Water Consumption ◽  
Residential Water

We analyze how residential water consumption is influenced by the consumption of households belonging to the same social group (peer effect). Analyses are based on household-level data provided by the Brazilian Household Budget Survey and use an innovative strategy that estimates the spatial dependence of water consumption while simultaneously controlling for potential sources of sample selectivity and endogeneity. The estimates of our quantile regression models highlight that, conditional on household characteristics, the greater the household water consumption, the greater the peer effect. In other words, the overconsumption of residential water seems to be influenced mainly by the behavior of social peers.

Concordant Exploration of the Kinetics of RNA Folding from Global and Local Perspectives

2006 ◽  
Vol 355 (2) ◽  
pp. 282-293 ◽  
Author(s):  
Lisa W. Kwok ◽  
Inna Shcherbakova ◽  
Jessica S. Lamb ◽  
Hye Yoon Park ◽  
Kurt Andresen ◽  
...  
Keyword(s):  
Rna Folding ◽  
Global And Local ◽  
Kinetics Of ◽  
Local Perspectives

The dialectic between global and local perspectives in archaeological theory, heritage and publications

2008 ◽  
Vol 15 (1) ◽  
pp. 56-69 ◽  
Author(s):  
Kristian Kristiansen
Keyword(s):  
Annual Meeting ◽  
The Other ◽  
Archaeological Theory ◽  
Common Trends ◽  
Archaeological Practice ◽  
The Past ◽  
Other Hand ◽  
Legislative Framework ◽  
Global And Local ◽  
Local Perspectives

When I agreed to present the article as a vehicle for discussion at a session at the EAA's annual meeting in Zadar, Croatia, I decided to approach the question of a European archaeology from what I considered to be the three organizing pillars of archaeological practice: heritage, theory and publications. Heritage is the dominant organizational/legislative framework for archaeological practice, and it is where most of the money is spent. Theory, on the other hand, organizes most of our interpretations of the past, while publications are still the most common way of presenting the results of both heritage work (mostly excavations) and interpretations of that work. In this way I hoped to have encircled the dominant parameters for a diagnosis of the archaeological landscapes in Europe. I assumed that there might be some correlation between the three, and that such observed common trends within two or more variables would strengthen the argument, to paraphrase processual jargon.

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