scholarly journals Analisis Penentuan Prioritas Pengembangan Sektor Perekonomian di Kabupaten Sukoharjo

2018 ◽  
Vol 19 (1) ◽  
pp. 37
Author(s):  
Heru Irianto
Keyword(s):  
Manufacturing Industry ◽  
Service Sector ◽  
Time Series Data ◽  
Series Data ◽  
Economic Sector ◽  
Analysis Method ◽  
Location Quotient ◽  
Services Sector ◽  
Agriculture Sector ◽  
Communication Sector

<p>The research aims to determine priority economic sector to develop at Sukoharjo Regency. Based method used in research is descriptive with using time series data for 1998 to 2002 about economic sector on GRDP (Gross of Regional Domestic Product) of Sukoharjo Regency. Analysis method use combination Location Quotient (LQ) and Shift share (SS) Model. Its result, the first sector to develop are Contruction, and the second sector are Mining and quaning, Electricity, Gas and Water supply sector, Trade, hotel and restaurant sector, Transport and communication sector, Agriculture sector and Services sector. Finally sector to develop are manufacturing industry and financial, ownership and business service sector.</p>

scholarly journals KAJIAN BASIS DAN PRIORITAS DALAM SEKTOR PERTANIAN BAGI PEMBANGUNAN WILAYAH PESISIR BENGKULU

2014 ◽  
Vol 13 (1) ◽  
pp. 44-50
Author(s):  
Melli Suryanty ◽  
. Sriyoto
Keyword(s):  
Agricultural Sector ◽  
Time Series Data ◽  
Secondary Data ◽  
Development Planning ◽  
Series Data ◽  
Location Quotient ◽  
Agriculture Sector ◽  
Year 2000 ◽  
Agriculture Development ◽  
Share Value

The objectives of this research were to identify agriculture subsectors that can be the sector basis for the region development, and give information about priority scale of agriculture subsectors development in Bengkulu region development planning. This research used the secondary data gained from time series data from year 2000-2011. Analysis methods used in this research were sector contribution, location quotient, and shift share analysis. The results of the research showed that fishery subsector gave significant contribution for Bengkulu City PDRB. Fishery subsector became the basis and main priority of the agriculture development in year 2000-2011. This was shown from the biggest contribution value, location quotient value was greater than 1, and positive shift share value. The main priority of agriculture sector development is fishery, livestock, food plant, and estate subsector.    Keywords: Basic sector, agricultural sector, regional development.

scholarly journals MAPPING OF POTENTIAL AND ECONOMIC GROWTH PATTERNS IN REDUCING THE INEQUALITY OF THE MOJOKERTO DISTRICT REGION

2018 ◽  
Vol 1 (2) ◽  
pp. 116-123
Author(s):  
Mohammad Wasil ◽  
Mohammad Wahed
Keyword(s):  
Economic Growth ◽  
Manufacturing Industry ◽  
Agricultural Sector ◽  
Growth Patterns ◽  
Economic Sectors ◽  
Location Quotient ◽  
Services Sector ◽  
Industry Sector ◽  
Trade Sector ◽  
Communication Sector

The purpose of this study is to analyze what economic sectors are potential to be used as development priorities and patterns of economic growth in the economy of Mojokerto Regency. The method used is: Location Quotient, Shift Share, and Williamson Index. From the analysis of the location quotient that falls into the category of the base sector are Agriculture, Clean Water & Water Sector, Building Sector, Transportation & Communication Sector, Financial Sector, Corporate Leasing & Services, and Services Sector. And the results of the shift share analysis show that the sectors with the fastest growth are the agricultural sector, mining & quarrying sector, manufacturing industry sector, and the trade sector, and the services sector. While the results from Williamson study show that the sub-districts that have the highest level of inequality are in Mojosari sub-district, Pungging subdistrict, and Kemlagi sub-district

scholarly journals Stride of Service Sector in Nepal’s Trajectories of Structural Change

2018 ◽  
pp. 69-98
Author(s):  
Madhav Prasad Dahal
Keyword(s):  
Structural Transformation ◽  
Service Sector ◽  
Time Series Data ◽  
Value Added ◽  
Developed Countries ◽  
Policy Implications ◽  
Series Data ◽  
Economic Sectors ◽  
Distributed Lag ◽  
Gross Value Added

Agriculture, manufacturing and service sectors are the major economic sectors of a country. The long held view is that economies’ development trajectories move from agriculture to manufacturing to services. These conclusions are primarily based on the studies of developed countries. However more recent studies relating to developing countries have brought evidences that the structural transformation path is not linear as experienced by today’s developed countries. Nepal is not an exception is experiencing the waves of sector-wise structural transformation. Using time series data of the period 1975-2016 of the economy of Nepal this paper analyses the association between gross value added and service sector value added in the analytic-framework of the autoregressive distributed lag (ARDL) to cointegration. The empirical result reveal a cointegrating relationship between real gross value added and service sector value added. Result also show service sector enhancing role of education and export trade of Nepal. The paper finally draws few policy implications essential for service sector sustainability to support overall economic growth.Economic Journal of Development Issues Vol. 21 & 22 No. 1-2 (2016) Combined Issue

A Study on the performance of Agricultural Sector in India

2017 ◽  
Vol 51 (03) ◽  
Author(s):  
Laishram Priscilla ◽  
Arsha Balakrishnan ◽  
Lalrinsangpuii Lalrinsangpuii ◽  
A. K. Chauhan
Keyword(s):  
Growth Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Series Data ◽  
Meat Production ◽  
Area Effect ◽  
Agriculture Sector ◽  
Per Capita ◽  
Vegetables And Fruits

<span>The time series data at all India level on area, production and productivity of foodgrains, production and per capita availability of milk and eggs and production of meat were compiled and a decade wise analysis of growth rate, instability index and decomposition analysis was done to study the performance of agriculture sector. During the overall period, the area under food grains showed negative growth whereas production and productivity growth was positive. For milk and egg, both production and per capita availability showed positive growth. Meat production showed a positively significant growth rate. Growth rate in area, production and productivity of both vegetables and fruits was positive. In general, for foodgrains, the yield effect was higher than the area effect which could be attributed to increased use of high yielding varieties. For vegetables and fruits, the contribution of area effect was more than that of yield and the interaction effect suggesting that measures should be taken to improve their productivity. </span>

scholarly journals Environmental Pollution Effects of Regional Industrial Transfer Illustrated with Jiangsu, China

2021 ◽  
Vol 13 (21) ◽  
pp. 12128
Author(s):  
Guangxiong Mao ◽  
Wei Jin ◽  
Ying Zhu ◽  
Yanjun Mao ◽  
Wei-Ling Hsu ◽  
...  
Keyword(s):  
Environmental Pollution ◽  
Manufacturing Industry ◽  
Time Series Data ◽  
Estimation Method ◽  
Raw Material ◽  
Series Data ◽  
Pollution Load ◽  
Pollution Effects ◽  
Industrial Transfer ◽  
Southern Jiangsu

Industrial transfer is reshaping the geographic layout of industries and facilitating the transfer and spread of environmental pollution. This study employs the pollution transfer estimation method to discuss the environmental effect of industrial transfer. By compiling statistics on industries of a certain scale according to time-series data, the researchers compute the pollution load generated by industrial transfer and the difference in pollution emissions for each region and industry. Through the constructed evaluation model, the empirical scope is Jiangsu, which is the most developed industry in China. The results reveal that there is an apparent spatial hierarchy among the transferred industries in Jiangsu. Most industries transfer from the southern Jiangsu region toward the central Jiangsu and northern Jiangsu regions. Environmental pollution is redistributed among prefecture-level cities because of intercity industrial transfer; the spatial characteristics of pollution exhibit a notable hierarchical pattern. Furthermore, the transferred pollution load differs considerably between industries. The textile industry and chemical raw material and chemical product industry are mainly transferred toward the Central Jiangsu and Northern Jiangsu regions, whereas the papermaking and paper product manufacturing industry is primarily redistributed to the Southern Jiangsu region. The empirical results can serve as a reference for analyzing the environmental pollution effects of regional industrial transfer.

scholarly journals A Time-Varying Coupling Analysis of Expressway Traffic Volume and Manufacturing PMI

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shuo Sun ◽  
Mingchen Gu ◽  
Yingping Wang ◽  
Rongjie Lin ◽  
Lifeng Xing ◽  
...  
Keyword(s):  
Manufacturing Industry ◽  
Time Series Data ◽  
Traffic Volume ◽  
Series Data ◽  
Time Varying ◽  
Truck Traffic ◽  
Positive Interaction ◽  
Vector Autoregressive ◽  
Coupling Relationship ◽  
Johansen Cointegration Test

This study investigates the time-varying coupling relationship between expressway traffic volume and manufacturing purchasing manager index (PMI). First, for the traffic volume and manufacturing PMI time-series data, unit root stability test and Johansen cointegration test are applied to determine the stability of single sequence and the long-term stable correlation between variables, respectively. Then, a time-varying vector autoregressive model (TVP-VAR) is developed to quantify the time-varying correlation between variables. The time-varying parameters of TVP-VAR are estimated using the Markov chain Monte Carlo (MCMC) theory. Finally, the model is validated using examples from China. In the numeric example, three variables, i.e., expressway car traffic volume, expressway truck traffic volume, and manufacturing PMI, are selected for analysis. Results show that there is a positive interaction between expressway traffic volume (both car and truck) and manufacturing PMI. Express traffic volume slowly promotes the development of manufacturing industry. However, with the reform policy of road freight structure in China, the promotion effect of truck traffic on manufacturing PMI in the past two years has decreased significantly. Moreover, as affected by the China demand-led economic development model in recent years, the stimulus effect of manufacturing PMI on expressway passenger traffic volume has increased year by year. And, while the expressway freight structure remains stable, truck traffic volume is hardly affected by fluctuations in manufacturing PMI. These research results are helpful for policy makers to understand the time-varying coupling relationship between expressway traffic volume and manufacturing development and finally to improve the expressway management level.

scholarly journals The Analysis of the Impact of GDP, FDI, Minimum Wage on Employment in Indonesia

2019 ◽  
Vol 2 (2) ◽  
pp. 53-62
Author(s):  
Thomson Sitompul ◽  
Yansen Simangunsong
Keyword(s):  
Minimum Wage ◽  
Direct Investment ◽  
Regression Models ◽  
Time Series Data ◽  
Minimum Wages ◽  
Series Data ◽  
Economic Sector ◽  
Linear Regression Models ◽  
The Impact ◽  
Multiple Linear Regression Models

Unlike the previous study in determinant of labor absorption, which focused on economic sector and took up regional scope, this paper examines the impact of Gross Domestic Product, Foreign Direct Investment and Minimum Wages on labor absorption in Indonesia which take the national scope and aggregate labor by using secondary series of time series data (1990-2015). This study contributes to the limited literature on aggregate employment and national scope as the impact of the minimum wage, GDP, FDI in developing countries, especially in Indonesia. By using multiple linear regression models, surprisingly, we find that GDP and Minimum Wages have a positive and significant impact to increase employment while FDI  does not affect employment in Indonesia.

scholarly journals Are male to female employment ratio and salary compensations in agricultural sector co-integrated?

2021 ◽  
Vol 258 ◽  
pp. 06041
Author(s):  
Evgenia Ezhak ◽  
Tatiana Podolskaya ◽  
Elizaveta Karagozova ◽  
Muhammad Imtiaz Subhani ◽  
Denis Ushakov
Keyword(s):  
Time Series ◽  
World Bank ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Female Employment ◽  
Series Data ◽  
Agriculture Sector ◽  
Yearly Period ◽  
Male To Female

This study has been conducted in order to identify whether there is the co-movements between Male to Female employment ratio and Salary compensations in agricultural sector of Pakistan. To analyze the possible co-movement between the Male to Female employment ratio and Salary compensations in agricultural sector of Pakistan, the time series data for the yearly period of 1990 to 2020 for agriculture sector are taken from the publically available source i.e. website of World Bank. The result indicated that there is a long term relationship exists in between Male to Female employment ratio and Salary compensations in agricultural sector of Pakistan.

scholarly journals ANALISIS POTENSI SEKTOR BASIS DAN NON BASIS KOTA SABANG TAHUN 2013-2019

2020 ◽  
Vol 6 (1) ◽  
pp. 89-104
Author(s):  
Ferry Setiawan
Keyword(s):  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Quadrant Analysis ◽  
Location Quotient ◽  
Strong Growth ◽  
Aceh Province ◽  
Dynamic Location ◽  
Index Value ◽  
Regional Product

The success of a region in improving its economy can be measured by the growth of  Gross Domestic Regional Product (GDRP) from various existing sectors. This Gross Domestic Regional Product (GDRP) growth occurs if the region has a leading sector or a basic sector whose growth rate is relatively fast and has strong competitiveness and a non-basic sector that has the opportunity to become a basic sector if the local government is able to condition the opportunities that exist into an optimal result. This study uses secondary data obtained from the Central Statistics Agency (BPS) of Aceh Province in the form of time series data for 7 years, namely the 2013-2019 period. This research was conducted to identify the basic and non-basic sectors in the economic structure of the City of Sabang for the period 2013 - 2019 using the LQ (location quotient) analysis method, the Dynamic Location Quotient (DLQ) method, Shift Share Analysis, and quadrant analysis. 10 basic sectors with the highest average index value SLQ ≥ 1 and 7 sectors which are non-basic sectors with index numbers <1. In the quadrant analysis from the results of the existing Shift-Share calculations, there are 3 sectors in Quadrant I with fast and strong growth,3 sectors in Quadrant II with slow and strong growth, and 11 sectors in Quadrant III with fast growth but have weak competitiveness

scholarly journals ANALYSIS OF SUSTAINABILITY OF ECONOMIC SECTOR IN PROBOLINGGO DISTRICT EAST JAVA PROVINCE – INDONESIA

2020 ◽  
Vol 20 (4) ◽  
pp. 277-284
Author(s):  
Markus Patiung ◽  
Nugrahini Wisnujati
Keyword(s):  
Service Sector ◽  
Added Value ◽  
Economic Sector ◽  
Economic Sectors ◽  
Location Quotient ◽  
Fast Growing ◽  
Dynamic Location ◽  
Food And Drink ◽  
Regional Economic Performance ◽  
Typology Analysis

Gross Regional Domestic Product (PDRB) is the amount of gross added value arising from all economic sectors in the region. It aims to help formulate regional policies, plan and evaluate development results, and provide information that can describe the regional economic performance. The purpose of this research is to analyse sustainable economic sector in Probolinggo district east Java province – Indonesia. A sustainable sector means a sector that is currently included as a basis and will remain a basis sector in the future even if the growth is slow or fast. The analytical methods used include analysis of Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology. Of the 17 economic sectors that contributed to the PDRB of Probolinggo district, with the results of the LQ analysis, 7 sectors were in basic categories and 10 sectors were in non-basic categories. Results of the comparative analysis of LQ and DLQ indicates that there are 5 leading sectors, 2 prospective sectors, 6 mainstay sectors, and 4 lagging sectors. The results of the classification typology analysis consisted of 3 fast-growing and fast-growing sectors, 7 sectors is growing fast, 4 advanced and slow-growing sectors, and 3 relatively lagging sectors. From the three analysis results, it can be seen that the sustainable sectors are agriculture, forestry, and fisheries (second rank ); electricity and gas procurement sector (first rank); water supply, waste management, waste and recycling sectors (third rank); health service sector and social activities (fourth rank); other service sectors (rank fifth); processing industry sector; construction sector; transportation and warehousing sector; the accommodation and food and drink provision sector; information and communication sector; and the education services sector.

Sign in / Sign up

Export Citation Format

Share Document