scholarly journals Regulation in Special Economic Region Tanjung Lesung, Pandeglang Regency, Banten Province, Indonesia

2020 ◽  
Author(s):  
Dede Kartini ◽  
Rahman Mulyawan ◽  
Muradi Muradi
Keyword(s):  
Economic Region

PENGARUH PRODUK DOMESTIK BRUTO, INFLASI DAN RASIO GINI TERHADAP PENGANGGURAN TERBUKA DI PROVINSI DKI JAKARTA

2018 ◽  
Vol 14 (2) ◽  
Author(s):  
Sri Mahendra Putra Wirawan
Keyword(s):  
Economic Growth ◽  
Significant Influence ◽  
Economic Conditions ◽  
Research Model ◽  
Economic Region ◽  
Regression Methods ◽  
Price Increases ◽  
Comprehensive Picture ◽  
Development Goals ◽  
The Relationship

Gross Regional Domestic Product (GRDP) which provides a comprehensive picture of the economic conditions of a region is indicator for analyzing economic region development. Another indicator that is no less important is inflation as an indicator to see the level of changes in price increases due to an increase in the money supply that causes rising prices. The success of development must also look at the income inequality of its population which is illustrated by this ratio. One of the main regional development goals is to improve the welfare of its people, where to see the level of community welfare, among others, can be seen from the level of unemployment in an area. To that end, in order to get an overview of the effects of GRDP, inflation and the ratio of gini to unemployment in DKI Jakarta for the last ten years (2007-2016), an analysis was carried out using multiple linear regression methods. As a result, together the relationship between GRDP, inflation and the Gini ratio is categorized as "very strong" with a score of 0.936, and has a significant influence on unemployment. Partially, the GRDP gives a significant influence, but inflation and gini ratio do not have a significant influence. GDP, inflation and the Gini ratio together for the last ten years have contributed 81.4% to unemployment in DKI Jakarta, while the remaining 18.6% is influenced by other variables not included in this research model, so for reduce unemployment in DKI Jakarta, programs that are oriented to economic growth, suppressing inflation and decreasing this ratio need to be carried out simultaneously. Keywords: GRDP, inflation, unemployment, DKI Jakarta, GINI ratio  

Agro-landscape and ecological zoning for crop and meadow production in Eastern Siberia

2020 ◽  
Author(s):  
L.S. Trofimova ◽  
◽  
I. A. Trofimov
Keyword(s):  
Eastern Siberia ◽  
Economic Region

The agro-landscape and ecological zoning of the East Siberian natural and economic region has been developed. A map, legend to the map, classification of natural forage lands and classification of deer pastures have been compiled. A detailed description of all 136 designated zoning units (zones, mountain territories, provinces, districts) is given.

scholarly journals Temporal-spatial Distribution Characteristics of Air Pollutants in Chengdu Economic Region, China

2019 ◽  
Vol 118 ◽  
pp. 04027
Author(s):  
Hongjin Tong ◽  
Sha Liu ◽  
Ruixue Liao ◽  
Xiaomei Wei ◽  
Kangli Che ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Temporal Variation ◽  
Air Pollutants ◽  
Interpolation Method ◽  
Central Area ◽  
Average Concentration ◽  
Distribution Characteristics ◽  
Economic Region ◽  
Spatial Distribution Characteristics ◽  
Variation Characteristics

The previous characteristics researches of air pollution were almost based on data from national environmental monitoring stations in 2015. The temporal variation curves of air pollutants and the ArcGIS grid interpolation method were used to analyze the spatial-temporal variation of air pollutants in five cities of Chengdu economic region. In 2015, the monthly change trends of PM2.5, PM10, CO, NO2 and NO of air pollutants in Chengdu economic region were basically the same. The maximum monthly average concentration was in January or December, and the minimum was in May to September. The temporal variation of SO2 was characterized by little fluctuation of monthly concentration. The temporal variation characteristics of O3 were opposite to other pollutants. The spatial distribution of PM10 and PM2.5 was characterized by the largest concentration in Chengdu and the southwest of Meishan, in which they were mainly concentrated in the central area of Chengdu in winter. The average concentration of CO in Chengdu was the largest, followed by Deyang and Mianyang, and Meishan and Ziyang was the smallest. The concentrations of NO2 and NO in Chengdu were the largest, while those in Ziyang were the smallest. The spatial distribution characteristics of O3 were different from other pollutants. The areas with the largest concentration of O3 were Ziyang and a small part of west in Chengdu. The spatial distribution of SO2 was characterized by the largest concentration of SO2 in Ziyang, the lowest concentration in Mianyang and Deyang.

Eco-Efficiency Evaluation of Poyang Lake Region Based on DEA Method

2011 ◽  
Vol 181-182 ◽  
pp. 118-123
Author(s):  
Hai Tao Su ◽  
Hai Qing Guo ◽  
Jin Feng Hu ◽  
Hui Zeng
Keyword(s):  
Technical Efficiency ◽  
Poyang Lake ◽  
Scale Efficiency ◽  
Maximum Output ◽  
Efficiency Evaluation ◽  
Economic Region ◽  
Poyang Lake Region ◽  
Lake Region ◽  
Decision Making Unit ◽  
Dea Method

The eco-efficiency and sustainable development have become the focus of world and the issues to be resolved urgently. In this paper, the recent research status of eco-economic region of Poyang Lake in China is analyzed, and the multi-level evaluation index system of eco-efficiency of Poyang Lake is constructed. The minimum input and maximum output method based on DEA(Data Envelopment Analysis) is proposed, the mathematical model of validity evaluation of eco-economic region of Poyang Lake is set up and programmed by MATLAB. Efficiency evaluation of a complex system with the cases from nine districts of Poyang Lake region in China is realized, which is more than one homogeneous decision-making unit of multi-input and multi-output. The MDEA (Modified DEA) method resolves the problems of ranking DEA efficient units of Poyang Lake, The DEAP2.1 software differentiates the technical efficiency and scale efficiency of eco-economic region of Poyang Lake, and adjusts the DEA inefficient units to become technical efficiency. The model can be used to analyze efficiency and diagnose different units at the same time or same unit at different time. It can be more accurate and convenient for the management process of eco-economic region of Poyang Lake and the similar eco-economic region.

scholarly journals THE IMPORTANCE OF GOVERNMENT PROGRAMS IN INCREASING EMPLOYMENT EFFICIENCY IN GANJA-KAZAKH ECONOMIC REGION

2021 ◽  
Author(s):  
S. A. Hasanova
Keyword(s):  
Labor Market ◽  
Negative Impact ◽  
Supply And Demand ◽  
Economic Region ◽  
Investment Projects ◽  
Oil Sector ◽  
The Republic ◽  
State Programs ◽  
Production Areas ◽  
The Impact

The article analyzes the labor market in Ganja-Gazakh economic region, the main "State Programs for socio-economic development of the regions of the Republic of Azerbaijan" (2004-2008, 2009-2013, 2014-2018, 2019-2023) to address the employment problems of the population. directions were considered. At the same time, the current situation of employment and unemployment in the region, the interregional distribution of productive forces, the region's infrastructure, the geography of natural resources were studied. Traditional production areas for the region, preferential loans provided to entrepreneurs within the framework of financed investment projects and other issues were discussed. The measures taken to eliminate the negative impact of the global crisis on the regions of Azerbaijan since 2016, the volume of output in key sectors of the economy are reflected. The discrepancy between job supply and demand in the region's labor market, as well as the main problems arising in the process of their coordination were analyzed. The urgency of original issues such as increasing production and exports, attracting effective employment, ensuring regional development by attracting domestic and foreign investment to the regions was brought to attention. The impact of investments in the regions on the development of the non-oil sector on the country's GDP was studied. The enterprises and jobs created in Ganja-Gazakh economic region were discussed within the program. In the end, the results of the analysis were reflected and suggestions were made to eliminate the existing problems.

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