Arah transformasi menurunkan ketergantungan sumber daya alam dengan bergeser ke arah industri dan jasa sehingga perlu diketahui pola transformasi terkait perubahan laju pertumbuhan kontribusi dan daya saing. Sektor pertanian pada tahun 2020 kontribusinya 50-25 % dalam pembentuk PDRB tersebar di 44 kabupaten dari 51 kabupaten di pulau kalimantan. Penelitian ini menggunakan kualntitatif Data sekunder PDRB Provinsi di Pulau Kalimantan 2010-2020 sebagai rujukan penelitian. Analisis Location Quotien dan Shift-Share digunakan dalam penelitian ini dan hasilnya sebagai bahan pertimbangan terukur perencanaan pembangunan daerah. Hasil menunjukan sektor pertanian mempertahankan kontribusi positif dan subsektor memiliki daya saing yaitu Perkebunan, Holtikultura, Perikanan dan Peternakan. Telah terjadi transformasi pertanian ditandai kontribusi fluktuasi dan penurunan laju pertumbuhan kedepannya perlu diantisipasi. Percepatan transformasi melalui kebijakan hilirisasi komoditas pertanian namun terhambat regenerasi sumber daya manusia kompeten dan lambatnya penerapan teknologi pertanian terintegrasi
Arah transformasi menurunkan ketergantungan sumber daya alam dengan bergeser ke arah industri dan jasa sehingga perlu diketahui pola transformasi terkait perubahan laju pertumbuhan kontribusi dan daya saing. Sektor pertanian pada tahun 2020 kontribusinya 50-25 % dalam pembentuk PDRB tersebar di 44 kabupaten dari 51 kabupaten di pulau kalimantan. Penelitian ini menggunakan kualntitatif Data sekunder PDRB Provinsi di Pulau Kalimantan 2010-2020 sebagai rujukan penelitian. Analisis Location Quotien dan Shift-Share digunakan dalam penelitian ini dan hasilnya sebagai bahan pertimbangan terukur perencanaan pembangunan daerah. Hasil menunjukan sektor pertanian mempertahankan kontribusi positif dan subsektor memiliki daya saing yaitu Perkebunan, Holtikultura, Perikanan dan Peternakan. Telah terjadi transformasi pertanian ditandai kontribusi fluktuasi dan penurunan laju pertumbuhan kedepannya perlu diantisipasi. Percepatan transformasi melalui kebijakan hilirisasi komoditas pertanian namun terhambat regenerasi sumber daya manusia kompeten dan lambatnya penerapan teknologi pertanian terintegrasi
This research aims to (1) Determine the level of elasticity of changes in GRDP caused by changes in BPHTB revenue in Banjarbaru for the 2011-2020 period and (2) To determine the tax efforts of BPHTB in the City of Banjarbaru for the period 2011-2020. This research uses descriptive quantitative research methods.This research uses descriptive quantitative research methods. The data used is secondary data sourced from the Central Bureau of Statistics and the Regional Tax and Retribution Management Agencies of Banjarbaru in 2011-2020. The results of the study show that from 2011-2020 as follows: (1) the elasticity level of GRDP changes caused by changes in Banjarbaru City BPHTB revenue has an average of 0.38% which means it tends to be inelastic or a value of less than 1 (E<1) . This indicates that BPHTB will experience a change of 1% due to an increase or decrease of less than 1% by GRDP. So that the growth of BPHTB revenue does not cause significant and significant changes (inelastic) due to changes in GRDP. (2) The level of tax effort also has an average value below 1, namely 0.404 (close to 0). The ability of the local government of Banjarbaru to collect BPHTB taxes is still low because it is far from the perfect value of tax effort, which is 1.
This study aims to (1) find out how the contribution of each criterion to the development of natural tourism objects in Tiwingan Lama Village, Aranio District, Banjar Regency, and (2) find out what alternative options are priority to be developed in Tiwingan Lama Village, Aranio District, Banjar Regency.Respondents in this study were 7 respondents who were considered experts and influenced the determination of the development of the tourism village area in Tiwingan Lama Village, which were used in data processing using the AHP (methodAnalytical Hierarchy Process).The results of this study indicate that the criteria for regional policies, regional potential, number of visitors, and community income influence the prioritization of the development of tourism village areas in the order of 27.7% regional policy preference values, 46.6% regional potential, 16.1% number of visitors, and 9.6% of people's income. Based on the three alternatives of priority selection for the development of the tourist village area, the alternative or potential for the Matang Kaladan hill has the highest preference value of 59.6%, Alimpung Park hill 23.8%, and Atawang hill 16.6%. With the most dominant conclusion is the Matang Kaladan hill (59.6%).
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