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Faktor-Faktor Penentu Pariwisata yang Mempengaruhi Pertumbuhan Ekonomi: Tinjauan Sistematis Zaim Mukaffi; Tri Haryanto
Jurnal Ilmiah Universitas Batanghari Jambi Vol 22, No 3 (2022): Oktober
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v22i3.2590

Abstract

The tourism sector is one of the development sectors that affect economic growth. Where this tourism activity can create a multiplier effect for the community, especially around tourist destinations, in the form of economic activities, such as the emergence of new businesses, trade and other business activities. This systematic review aims to determine the determinants of tourism demand that affect regional and national economic growth. This review is methodologically limited to descriptive methods rather than statistical methods in the analysis of results by carrying out 3 stages of analysis. The data used are 40 journals. The results of this systematic review show that the tourism factors that affect economic growth are the number of tourist visits, income, networks and attractions, the amount of government spending in the tourism sector, capital investment, the number of workers, the number of restaurants/restaurants, and the availability of the number of hotel rooms. and quality of infrastructure
DIRECT FERTILIZER SUBSIDIES ON PRODUCTION AND HOUSEHOLD INCOME IN INDONESIA Arrief Chandra Setiawan; Djoko Mursinto; Tri Haryanto
TRIKONOMIKA Vol 20 No 1 (2021): June Edition
Publisher : Faculty of Economics and Business, University of Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (334.675 KB) | DOI: 10.23969/trikonomika.v20i1.3896

Abstract

This research aims to analyze the effect of fertilizer subsidies on the production and household income of rice farming in Indonesia using the 2017 crops business cost structure survey data. Utilizing the Ordinary Least Square (OLS) method, this research shows that rice farming households that received fertilizer subsidies have higher production and income than households that did not receive subsidies. Simultaneously, in the Two-Stage Least Square (TSLS) method, the usage of the ownership status of a household residential building as an instrument for the fertilizer subsidy variable is considered inaccurate so that it cannot answer the research objectives.