Hardianti, Khustiah
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Analysis of the Role of the Agricultural Sector in the Economy in Batanghari District, Jambi Province, 2019 & 2021 Masruroh, Khayatul; Putri, Faradilla Alisa; Rismawati, Rismawati; Osa, Afrilia; Fatimah, Nur; Hardianti, Khustiah; Rafidah, Rafidah; Hafiz, Ahsan Putra
International Journal of Economics (IJEC) Vol. 3 No. 2 (2024): July-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijec.v3i2.891

Abstract

Economic growth is a macro indicator to see real economic performance in a region. The rate of economic growth can be calculated based on changes in GRDP at constant prices for the year in question compared to the previous year. Economic growth can be seen as an increase in the number of goods and services produced by all business fields of economic activity in a region during a year. This research aims to determine the leading agricultural sector in Batang Hari district, Jambi Province in the period 2019 and 2021 . This research uses quantitative research methods with Location Quotient (LQ) analysis which is used to determine leading and non-leading sectors using Statistical Location Quotient ( SLQ) and Dynamic Location Quotient (DLQ) to analyze calculations of ADHK GRDP in Batang Hari Regency.
Analysis of Leading Sectors in Padang Pariaman District and West Sumatra Province Using Methods (DLQ, SLQ, and Shift Share) Ramadhani, Febi; Voni, Salsa; Nikmah, Isnadiatun; Sari, Puspa; Labaika, Ratna; Hardianti, Khustiah; Mutia, Agustina
International Journal of Economics (IJEC) Vol. 3 No. 2 (2024): July-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijec.v3i2.967

Abstract

The current complex regional development has encouraged intense competition between regions. To improve people's welfare, local governments need to increase the competitiveness of their regions. the measure of measuring regional economic growth is known as the Gross Regional Domestic Product (GDP). The purpose of the research conducted by the current author is to measure differences in the development of economic growth in the province of West Sumatra and the districts/cities of West Pasaman using the SLQ & DLQ analytical method, analysis shift shares. This study uses a quantitative descriptive approach. The data used are secondary data, namely research data obtained from the Central Statistics Agency (BPS) of West Sumatra Province and West Pasaman Regency/City in the form of Gross Regional Domestic Product (GRDP) data on the basis of constant prices (ADHK). ). The data used are 2018 & 2022, namely research by analyzing the data tested statistically and interpreting them in the form of descriptive sentences. Results from SLQ & DLQ analysts Based on the combined results of SLQ and DLQ analysis during the 2018 & 2022 observation period, the DLQ value> 1. This means that almost all economic sectors have the potential for faster development, and other economic sectors have a DLQ <1, which means that a commodity or sector with a score less than one is not a regional leading sector and still needs special attention for development.
Analysis of the Role of the Agricultural Sector in the Economy in Batanghari District, Jambi Province, 2019 & 2021 Masruroh, Khayatul; Putri, Faradilla Alisa; Rismawati, Rismawati; Osa, Afrilia; Fatimah, Nur; Hardianti, Khustiah; Rafidah, Rafidah; Hafiz, Ahsan Putra
International Journal of Economics (IJEC) Vol. 3 No. 2 (2024): July-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijec.v3i2.891

Abstract

Economic growth is a macro indicator to see real economic performance in a region. The rate of economic growth can be calculated based on changes in GRDP at constant prices for the year in question compared to the previous year. Economic growth can be seen as an increase in the number of goods and services produced by all business fields of economic activity in a region during a year. This research aims to determine the leading agricultural sector in Batang Hari district, Jambi Province in the period 2019 and 2021 . This research uses quantitative research methods with Location Quotient (LQ) analysis which is used to determine leading and non-leading sectors using Statistical Location Quotient ( SLQ) and Dynamic Location Quotient (DLQ) to analyze calculations of ADHK GRDP in Batang Hari Regency.
Analysis of Leading Sectors in Padang Pariaman District and West Sumatra Province Using Methods (DLQ, SLQ, and Shift Share) Ramadhani, Febi; Voni, Salsa; Nikmah, Isnadiatun; Sari, Puspa; Labaika, Ratna; Hardianti, Khustiah; Mutia, Agustina
International Journal of Economics (IJEC) Vol. 3 No. 2 (2024): July-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijec.v3i2.967

Abstract

The current complex regional development has encouraged intense competition between regions. To improve people's welfare, local governments need to increase the competitiveness of their regions. the measure of measuring regional economic growth is known as the Gross Regional Domestic Product (GDP). The purpose of the research conducted by the current author is to measure differences in the development of economic growth in the province of West Sumatra and the districts/cities of West Pasaman using the SLQ & DLQ analytical method, analysis shift shares. This study uses a quantitative descriptive approach. The data used are secondary data, namely research data obtained from the Central Statistics Agency (BPS) of West Sumatra Province and West Pasaman Regency/City in the form of Gross Regional Domestic Product (GRDP) data on the basis of constant prices (ADHK). ). The data used are 2018 & 2022, namely research by analyzing the data tested statistically and interpreting them in the form of descriptive sentences. Results from SLQ & DLQ analysts Based on the combined results of SLQ and DLQ analysis during the 2018 & 2022 observation period, the DLQ value> 1. This means that almost all economic sectors have the potential for faster development, and other economic sectors have a DLQ <1, which means that a commodity or sector with a score less than one is not a regional leading sector and still needs special attention for development.