Regional Domestic Research Articles

Functional Predictor Variables for the Leaching Potential of Arsenic and Selenium from Coal Fly Ash

The release of leachates from intact coal ash impoundments is a concern due to the enrichment and mobilization of toxic elements such as arsenic (As) and selenium (Se). This study aims to explore the intrinsic properties of coal fly ash that correlate with the relative leachability of As and Se. We performed leaching experiments with 52 fly ash samples collected from 15 different U.S. power plants and representing coal feedstocks from the three major domestic regions. We assessed the mobilization potential of As and Se in fly ash based on standardized leaching protocols and performed multivariate and lasso regression analyses to explore correlations of leachable As and Se contents with characteristics such as major element contents, loss on ignition, and pH. The results of regression models indicated that major elements (Fe, Ca, and Al) for a wide range of fly ashes can serve as predictor variables for the leaching potential of As but not for Se. LOI and pH were not important predictive variables in the models. Both regression approaches resulted in relatively strong fits for leachable As (correlation coefficient R2 = 0.78 for both models) compared to models for leachable Se (R2 = 0.49). Overall, these results suggest that correlation models combined with on-site elemental analysis with portable analyzers may enable a screening method for leachable As in coal ash.

Reshore or not Reshore: A Stochastic Programming Approach to Supply Chain Optimization

This paper presents a scenario-based stochastic mixed integer programming model for risk-neutral or risk-averse optimization of supply chain reshoring to domestic region, under the ripple effect propagated from a foreign disruption source region. The reshoring decisions with respect to tier-one suppliers of parts and tier-zero OEM (Original Equipment Manufacturer) assembly plants are considered under disruptions in supply, manufacturing, logistics and demand rippling across the entire supply chain. The proposed innovative approach integrates strategic supply chain reshoring and operational supply chain scheduling, which allows the decision maker to evaluate the operational impact of the strategic decision. Results of computational experiments, partially modeled after a supply chain reshoring problem in the smartphone industry, are provided. The findings indicate that reshoring decisions are strongly dependent on the level of government subsidy for capital expenditure and for risk-neutral reshoring, a portfolio of supply chain nodes with positive expected net savings can be considered only. In general, the reshored supply chain can better meet domestic market demand. Moreover, full reshoring of a supply chain improves its business as usual performance and even partial reshoring mitigates the impact of the ripple effect. However, for risk-averse decision-making, if reshoring is incapable of reducing worst-case cost, in particular, worst-case lost sales, no reshoring is selected.

Local characteristics of molecular epidemiolgy of Acinetobacter baumannii in Jilin province (northeast China)

A. Baumannii is an opportunistic nosocomial pathogen which has severe antibiotic resistance. However, the epidemiology is less clearly understood in Jilin province and China. Thus, 89 A. baumannii isolates from a single hospital in Jilin province between 2013–2017 were performed by MLST. In order to better understanding of the epidemiology of Jilin isolates, Chinese strains originated from other domestic regions and worldwide isolates in MLST database were analyzed by silico phylogenetic tools together. A total of 22 STs in Jilin were identified, and 10 STs were found to be novel. The top three predominant sequence types are ST195 (n = 34, 38.2%), ST208 (n = 14, 15.7%) and ST540 (n = 13, 14.6%). ST369 is predicted to be group founder and ST195, ST540 are subgroup founders of the majority STs in Jilin Province. Some newly discovered singletons showed close relationship with strains from other countries, which suggest that nation-cross transmission is one of important origin of Jilin strains. The majority of Jilin STs showed clonality and close relationship with the majorities from other regions of China. But occupation of individual STs in Jilin were different from that of other domestic regions. The aggregation trend and genetic relationship proved that predominant Jilin STs continue to mutate during transmission. Drug resistance facilitated transmission of Jilin A.baumannii isolates because more than 94% of isolates are resistant to at least one carbapenem and the STs with strong resistance to carbapenems usually has more isolates. In conclusion, high diversity and different occupation of STs, and occupation of novel STs proved that epidemiology of A. baumannii in Jilin has special regional characteristics, and drug resistance facilitated transmission of domestic strains and foreign strains.

Analisis Fungsi Pengeluaran Pemerintah terhadap Tingkat Pertumbuhan Ekonomi Provinsi Jawa Timur

Achieving of economic growth and development in a country is a goal to be achieved by a country. One of the economic data sets that are used as a reference in viewing the economic development of a region is to use economic data derived from Gross Domestic Regional Product. The value of GRDP reflects the potential for economic growth in a certain area. In achieving the goal of equitable growth and development, a budget or financing is needed to finance these development activities. These expenses are usually in the form of expenses for operational activities or investments. This research was conducted with the aim of observing and analyzing the impact of expenditures made by local government in relation to economic growth in east java province. This study uses a descriptive qualitative method and takes a sample of East Java government spending data for 2017-2020 and East Java GDRP Growth Rate data for 2017-2020. The results show that government spending affect the level of economic growth in an East Java Province.

Modeling the effect of poverty rate, GDRP, and minimum wage, on mean years of schooling in Gorontalo province with panel data regression

This Study aims to analyze poverty rate, Gross Domestic Regional Product (GDRP), Minimum Wage on mean years of schooling in Gorontalo Province. The data was taken from Central Bureau of Statistics (BPS), which consists of six cities/districs from 2010-2019. The method that is used in this research is Panel Data Regression with the software used is Rstudio and Eviews. The results of this study can be concluded that GDRP and minimum wage affect the mean years of schooling in Gorontalo Province. Also, this study has limitations in terms of the amount of data in each time period which affect the dependence variable and there are also some data that cause failures in some assumptions.

Analysis of economic and social vulnerability to disaster risk in Tawangmangu and Kejajar Districts

Climate change is a major concern. Climate change causes changes in the seasons and hydrological systems. Landslides are one of the most common hydrometeorological disasters in Indonesia. This study identifies indicators of economic and social vulnerability to the risk of landslides in the Tawangmangu and Kejajar sub-districts. The method used is scoring and weighting of each economic indicator namely the Gross Domestic Regional Product at Current Prices (PDRB ADHB) of the sub-district and the number of poor people, as well as social indicators used, including population growth rate, sex ratio, population density data, the number of children at risk, the number of elderly at risk which are analyzed using the SoVI index referring to the Regulation of the National Disaster Management Agency No. 2 Year 2012 and research conducted by Sulma, 2012 to determine the vulnerability of the two sub-districts to landslides. Tawangmangu and Kejajar sub-districts are classified as areas with moderate vulnerability, so the economic and social conditions of the Kejajar sub-district are more vulnerable to the risk of landslides. If a region has a high SoVI index due to landslides, it can affect agricultural productivity because landslides affect agricultural land. The government can use disaster studies as a basis for determining broader regional policies and accelerating regional economic recovery through the improvement of economic facilities and infrastructure in disaster-prone production sectors.

Determinants of the Human Development Index (HDI) in Indonesia, 2014 - 2021

Human development is a process of community change in improving the welfare andprosperity of their lives which includes aspects of health, education, economic andsocial aspects. This study aims to analyze the effect of protein intake, early marriage,health and educational facilities, unemployment, and MSMEs on HDI in Indonesia.The OLS and FEM model are used to estimate Indonesia’s 34 provinces panel dataset from 2014 in 2021. The study results show the life expectancy was affected byprotein consumption, number of hospitals, and health centers. The average length ofschooling is affected by the number of elementary, high school, and vocational schools and is influenced by the number of elementary and vocational school teachers. Gross Domestic Regional Product (GRDP) per capita is affected by unemployment rate and MSMEs. The increasing of protein consumption, early marriages evidences, number of health care provision, number of school are correlated on HDI. Furthermore, HDI is also affectef by the reduction of unemployment and number of MSMEs.

Исследование образовательных программ в трендовых областях экономики для интеграции вуза в международное образовательное пространство: кейс УРФУ им. Первого президента России Б.Н. Ельцина

The article is devoted to the monitoring study of educational programs offered by the world's leading universities in the most popular fields today: energy, computer and engineering sciences, human resource management. The master's degree programs of universities included in the QS World University Rankings and additional educational courses presented on the international Coursera platform were selected as the basis for comparative analysis. The role of internationalization in university practice is considered from the point of view of the strategic direction of development and increasing the competitiveness of the university in the world market of educational services. The features of educational programs successfully implemented in the conditions of internationalization of education in Russia and various parts of the world – Europe, Asia, America, Australia – are determined. It is revealed that the development of internationalization of Russian education takes into account the peculiarities of domestic regions and is carried out in line with global trends, which allows maintaining and developing competitiveness among foreign universities. Practical recommendations are formulated for the formation of a strategy for the integration of the Ural Federal University named after the first President of Russia B. N. Yeltsin into the international educational space, maintaining and improving its competitiveness within the framework of the internationalization of educational programs.

Digital tourism branding post-pandemic covid-19 on Twitter: Thailand dan Malaysia case study

This study aims to analyse the function of social media as digital tourism branding carried out by Thailand and Malaysia after the COVID-19 pandemic. This research method uses descriptive qualitative methods with the help of the Nvivo 12 Plus application in processing the data. This study uses data from official Twitter social media accounts in Thailand and Malaysia. The results of this study indicate that the analysis of the Twitter conversations of the two accounts shows that the tweets and retweets of @AmazingThailand and @TourismMalaysia are mostly still focused on accounts from their respective domestic regions. The digital tourism branding, which is analysed using marketing communication theory, shows that Thailand and Malaysia have proactive efforts in planning indicators, creation, integration, and marketing strategies. Overall the digital tourism branding efforts carried out by Thailand and Malaysia are quite optimal.

ПРОБЛЕМЫ МЕТОДИЧЕСКОГО ОБЕСПЕЧЕНИЯ ОЦЕНКИ ЭКОНОМИЧЕСКОГО СОСТОЯНИЯ РЕГИОНА (НА ПРИМЕРЕ РЕСПУБЛИКИ ТАТАРСТАН)

Today, in crisis conditions, the regions of Russia need to develop unified approaches and a theoretical basis for regional development that meet the requirements of modern technologies and the challenges of the socio-cultural sphere of the XXI century. 
 Improving the efficiency of regional development based on the development of applied tools is of great importance, since the system of methodological support affects the creation of economic sustainability of domestic regions. The independence of the regions and the assignment of powers to them in order to solve the tasks of post-recessionary recovery need an improved development model that has an innovative appeal and is focused on the identification of emergency situations. Also, the system of methodological support should be effective in management, since it is a factor in the growth of an effective regional economy.
 The crisis situation in Russia has increased the interest of scientists and business communities in the diagnosis and creation of a new methodological base as one of the indicators of creating conditions for the stable functioning of the regional economy.

How can Chinese metropolises drive global carbon emissions? Based on a nested multi-regional input-output model for China

Given metropolises' participation in complex regional and global trade networks, they have huge demands for vast carbon-embodied intermediate and final goods. To clarify embodied carbon transfers of metropolises in regional and international trade, a metropolis-centered model was constructed by nesting the World's multi-regional input-output table and China's multi-regional input-output (CMRIO) table. Based on this model, we analyzed the multi-scale impact of two typical Chinese metropolises, namely Beijing and Shanghai, on global carbon emissions. Structural decomposition analysis and social network analysis (SNA) were used to explore the driving factors of consumption-based carbon (CBC) and the roles of metropolises in the carbon networks. Results showed that both Beijing and Shanghai are net embodied carbon consumers, which respectively drove 231.19 and 219.52 Mt global carbon emissions in 2017. These figures were underestimated by 12.54 % and 15.41 % when using the CMRIO. After China's economy entered a new normal, instead of technological progress, structural adjustment became the prominent factor driving the CBC reduction of metropolises. During 2012–2017, the consumption structure optimization reduced 18.87 and 32.48 Mt CBC in Beijing and Shanghai, respectively. Compared with other domestic regions, the CBC of Beijing has continued to increase, whereas that of Shanghai has declined. At the international scale, the combined net carbon emission imported by the two metropolises was 88.43 Mt in 2017, equivalent to 18.09 % of China's total carbon deficit. This indicates that metropolises have become pioneering regions for China to alleviate the carbon deficit in international trade. By using SNA, we further found that both metropolises are crucial carbon consumers in the global carbon network, with strong stability and obvious hub roles. Furthermore, various urban functions and geographical locations form the heterogeneous structural characteristics of CBC in the two metropolises, highlighting the need for different strategies for embodied carbon mitigation in these metropolises.

Adsorption of Pesticides Using Wood-Derived Biochar and Granular Activated Carbon in a Fixed-Bed Column System

Pesticides have great potential to contaminate resources of drinking water by percolating and leaching, when applied in the agriculture sector as well as in domestic region. Activated carbon (AC) and Biochar (BCH) were used for adsorption in a fixed-bed column system. Both of the adsorbent-packed columns indicated an increase in the breakthrough time for atrazine from 3350 to 5800 min and 3200 to 5700 min, chlorothalanil 3200–5600 min and 3150–5550 min, β-endosulfan 3050–5400 min and 2950–5400 min, and α-endosulfan 2900–5200 min and 2850–5200 min with bed heights from 10 cm to 15 cm, respectively. Similarly, when flow rate increased from 0.5 to 1.5 mL min−1 and contaminant concentration from 50–100 µg L−1, it resulted in a decrease in exhaust time. The models of Yoon–Nelson (R2 = 0.9427) and Thomas (R2 = 0.9921) describe the process of adsorption to be best well-under optimal conditions. Both the adsorbents would be efficiently utilized as the best adsorbents to remediate pesticide-contaminated water under optimal conditions. Pesticides adsorption onto adsorbents followed the order of atrazine > chlorothalanil > β-endosulfan > α-endosulfan.

Spatiotemporal Statistics for Analyzing Climatic Conditions Influencing Lymantria dispar Outbreaks

The spongy moth (Lymantria dispar) is a forest pest that damages a variety of trees in North America and Eurasia. A spongy moth outbreak occurred in part of South Korea in 2020 and caused severe damage to domestic forests and human society. Since the occurrence of spongy moths is influenced by climatic factors, this study examines the causes of spongy moth outbreaks by analyzing the temporal and spatial differences in climatic factors, influencing spongy moth occurrence using specimens collected during field surveys. Climatic factors were identified using global occurrence coordinates to compare the weather characteristics of spongy moth occurrence in domestic regions, using the kernel density function. Spatial and temporal comparisons were performed for monthly weather factors obtained from field surveys in 2020 and 2021 in areas with high and low spongy moth larvae densities. Spongy moth outbreaks may result from particular combinations of variable seasonality in temperature and precipitation, including high temperatures during cold periods and low precipitation during developmental periods.

POTENTIAL ANALYSIS OF LEADING ECONOMIC SECTOR IN ECONOMIC DEVELOPMENT IN NGANJUK REGENCY

This research aims to analyze the leading economic sectors that can support economic development in Nganjuk Regency, the base and non-base sectors, the changing and shifting sectors, and the classification of growth sectors in order to determine the leading sectors in Nganjuk Regency. Gross Domestic Regional Product by Business Field Based on Constant Price in 2018-2021 in Nganjuk Regency and East Java is utilized in this study. The information is obtained from Statistics Indonesia. This study employs a descriptive quantitative methodology. This research utilizes Location Quotient, Shift Share, and Typology Klassen for analysis. Location Quotient has determined that there are eight base sectors and nine non-base sectors. The base sectors are also the leading economic sector in Nganjuk Regency's economic development. In addition, according to the results of Shift Share, fifteen economic sectors have positive growth. In addition, there are nine sectors with a progressive growth rate. The result of Typology Klassen is the division of seventeen economic sectors into four quadrants. There are three sectors in the first quadrant, seven sectors in the second quadrant, five sectors in the third quadrant, and two sectors in the fourth quadrant. Water Supply, Sewerage, Waste Management, and Remediation Activities are the leading economic sector according to all of the research's analysis methods. This sector is a base sector, has a positive percentage in each component of Shift Share and a positive Shift Share value, and is located in Quadrant I of the Typology Klassen.

THE INFLUENCE OF ROAD NETWORK DEVELOPMENT ON LAND USE (CASE STUDY: KARAWANG REGENCY, INDONESIA)

The aims of this research are to find out the most influencing sector that brings huge impact towards the economic growth of Karawang regency after Jakarta-Cikampek toll road is established, and to generate the mathematical model which enables to serve information about the GDRP (Gross Domestic Regional Product) value of agriculture sector based on the impact of industrial sector GDRP value, trading sector DGRP value, and number of populations in Karawang regency.

PENERAPAN ERROR CORRECTION MECHANISM DALAM PEMODELAN PERTUMBUHAN EKONOMI PROVINSI JAWA TIMUR TAHUN 2005-2021

The economy of East Java Province, as indicated by the Gross Domestic Regional Product (GDRP), experienced a contraction due to the Covid-19 pandemic by 2.33 percent. The shock will disrupt the stability of the East Java economy if it is not handled quickly and accurately. This study aims to establish an appropriate model for analyzing economic growth through GDRP in East Java by using the independent variables Human Development Index (IPM), Gross Fixed Capital Formation (PMTB), GDRP of Manufacturing Industry Sector (IP), and Regional Minimum Wages (UMR) using the Error Correction Mechanism (ECM) model to obtain long-term and short-term relationships of these variables. The results showed that the IPM, PMTB, and UMR had a positive and significant relationship with GDRP in the long term, while the IP variable had a positive but not significant relationship with GDRP in the long term. In the short term, IPM, PMTB, IP, and UMR have a positive and significant relationship with GDRP. In addition, there is an Error Correction Term (ECT) coefficient of -0.8917 which means that the influence of the IPM, PMTB, IP and UMR variables will be corrected by 89.17 percent toward long-term balance in each period

Analisis Faktor-Faktor yang Mempengaruhi Tingkat Kemiskinan Provinsi Bangka Belitung Tahun 2010 - 2020

This study aims to analyze the impact of education on the growth of the poor population in Bangka Belitung Province in the 2010-2020 period. The data used in this study are secondary panel data taken from BPS (Central Statistics Agency) from seven districts/cities in Bangka Belitung including Bangka Regency, Belitung Regency, West Bangka Regency, Central Bangka Regency, South Bangka Regency, East Belitang Regency, and Pangkalpinang City in 2010-2020 using the variable growth of the poor population as the dependent variable, while the independent variables used are Gross Domestic Regional Product (GDRP), per capita expenditure, average length of schooling, and also the open unemployment rate. After Chow and Hausman test, it can be seen that the best research model for this research is the Fixed Effect Model method. From this research, it is known that the dependent variables have a positive and significant influence on the dependent variable. Meanwhile, if based on the results of individual tests, the average length of schooling and the open unemployment rate have a significant effect on the dependent variable and no significant effect is found on the GDRP and per capita expenditure variables on the dependent variable.

Updating the Open Innovation Concept Based on Ecosystem Approach: Regional Aspects

The intensification of innovation processes in Russia is a challenging task that requires a continuous search for solutions to make possible the many required changes in economics. We consider the major factors needed to advance an innovative activity at all levels in the national economy to have a freely exchanged flow of innovative ideas between all actors involved. As practice shows, the currently existing models in the country to deal with open innovations are mostly based on a cluster development approach, which is still limited. The authors propose synergizing the cluster approach with an ecosystem innovation model, which should ensure an effective collaboration and an accelerated rate for the diffusion of innovations between various actors while involving various regions. The purpose of the study was to develop a conceptual model for implementing open proposals from participants in the innovation economy. The research methodology is based on numerous works in the field of open innovation theory, cluster and ecosystem approaches. The study utilizes empirical and dialectical methods of scientific knowledge. The methodological toolkit covers information processing with historical analysis, a literature review using the Russian Citation Index and Scopus databases, analysis and diagnostics of innovative activity in domestic regions, the comparison method, modeling and correlation analysis. We concluded that the interaction of participants in the Russian regions through implementing the cluster model is not sufficiently effective and requires the development of new methodological approaches. Therefore, we propose combining the cluster approach with the ecosystem innovation model, which should ensure an effective cooperation and accelerate the rate of innovation dissemination among various subjects involving several regions. To determine the approach’s efficiency, the proposed concept should be tested in one or more regions.

Analisis pengaruh pendapatan asli daerah, dana alokasi umum, penanaman modal dalam negeri dan penanaman modal asing terhadap produk domestik regional bruto di provinsi Jawa Timur

The scientific study aims to determine the ipact or effect of Region own source Revenue, General Allocation Fund, Domestic Invesment, and Foreign Invesment in Gross Domestic Regional Product, as well as knowing the government’s efforts in overcoming the decline in Gross Domestic Regional Product. This is a quantitative scientific study. Quantitative data used is secondary data originating from the BPS Jatim website between 2011 and 2020. The scientific study uses multiple linier analysis with F analysis tets and t analysis test. From the results of the analysis it isknown that Region own source Revenue, General Allocation Fund, Domestic Invesment, dan Foreign Invesment have a significant effect on Gross Domestic Regional Product. Region own sourec Revenue sigificant impact on Gross Domestic Regional Product, whereas General Allocation Fund, Domestic Invesmemnt, adn Foreign Invesment no significant impact. Efforts made by the government in overcoming the decline in Gross Domestic Regional Product there are 2 ways, namely deferring income tax and providing additional funds to reduce the economic impact.

건물유형 및 지역을 고려한 하천수 이용 수열 히트펌프 시스템의 연간 성능 분석

Recently, as interest in renewable energy has increased, research in various fields has been continuously conducted. Among them, interest in hydrothermal energy is increasing due to the revision of the enforcement decree in 2019. However, although various studies have been conducted on system demonstration, performance and economic feasibility analysis, heat exchangers, etc., studies on the performance of the water heat pump system considering the domestic region and building type are insufficient. Thus, in this study, an annual performance analysis of the water source heat pump system was performed using dynamic energy simulation considering the domestic region and building type. The regions were assumed to be Seoul, Daejeon, Busan, and Gwangju, and the building types were assumed to be office buildings, apartment houses, and greenhouses. As a result of heat pump Coefficient of Performance(COP) analysis, the cooling COP was an average of 4.01 by region and 3.99 by building type. Heating COP was 3.13 and 3.43, respectively. Also, when comparing the performance deviations by region and building type, the heating performance differed greatly depending on the building type, and the cooling performance showed a significant difference according to the region. Overall, it was confirmed that the cooling performance of the hydrothermal heat pump system was approximately 15% superior to the heating performance.