scholarly journals The Differentiated Influence of Technology Absorption on Regional Economic Growth in China

2019 ◽  
Vol 11 (2) ◽  
pp. 450 ◽  
Author(s):  
Ming Yi ◽  
Xiaomeng Fang ◽  
Yao Zhang

Technology absorption based on technology input–output is a main source of regional economic growth, and it can be one of the mechanisms to achieve regional sustainable development. In order to explore the influence mechanism and effects of regional technology absorption on economic growth, this paper classifies 30 provinces (including municipalities and autonomous regions) in China into technology input areas and technology output areas. With economic data from 2000 to 2016, this paper adopts the Hausman test and conducts an empirical study using regression analysis of fixed effect and random effect. The result shows that: (1) compared to technology output areas, technology absorption has a greater effect on economic growth in technology input areas; and (2) in general, all of these different types of technology transactions contribute to promoting regional economy. In technology output areas, the promoting effects of four different technology transactions on economic growth are sequenced from strong to weak as following: technology development, technology consultation, technology service, and technology transfer, while in the technology input areas, the promotion effect on economic growth from strong to weak is technology development, technology service, technology consultation, and technology transfer.

2016 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Azwar Iskandar ◽  
Achmat Subekan

ABSTRAKPenelitian ini bertujuan untuk mengetahui determinan atau faktor-faktor yang mempengaruhi kemiskinan di Provinsi Sulawesi Selatan periode tahun 2010 sampai 2014. Data yang digunakan dalam penelitian ini berupa data sekunder dari publikasi data statistik Badan Pusat Statistik (BPS) Provinsi Sulawesi Selatan dan Direktorat Jenderal Perimbangan Keuangan (DJPK) Kementerian Keuangan Republik Indonesia. Data-data tersebut ditabulasikan ke dalam struktur data panel yaitu gabungan antara data yang berbentuk time series dan cross section dalam bentuk tahunan. Dengan teknik purposive sampling, penelitian ini menggunakan data 24 kabupaten/kota di Provinsi Sulawesi Selatan untuk kemudian dianalisis dengan metode teknik Analisis Regresi Data Panel dengan pendekatan Random Effect. Hasil empiris membuktikan bahwa seluruh variabel determinan yang terdiri dari pertumbuhan ekonomi regional, jumlah pengangguran, indeks kesehatan, angka partisipasi sekolah dan belanja daerah secara simultan berpengaruh signifikan terhadap jumlah kemiskinan di Provinsi Sulawesi Selatan. Sementara secara parsial, variabel pertumbuhan ekonomi regional berpengaruh positif dan tidak signifikan terhadap kemiskinan, sedangkan variabel-variabel lainnya yaitu pengangguran, indeks kesehatan, angka partisipasi sekolah dan belanja daerah berpengaruh negatif terhadap kemiskinan. Oleh karena itu, pemerintah kabupaten/kota di Provinsi Sulawesi Selatan diharapkan mampu menciptakan pertumbuhan ekonomi yang berkualitas dan bersifat inklusif, mampu meningkatkan fasilitas pendidikan dan fasilitas kesehatan secara merata tidak hanya terpusat pada satu daerah saja, serta meningkatkan pengawasan keuangan terkait pengeluaran atau belanja pemerintah kabupaten/kota agar tepat sasaran sehingga pengeluaran atau belanja pemerintah dapat terus berjalan efektif dan efisien dalam upaya pengurangan kemiskinan.Kata Kunci: kemiskinan, Sulawesi Selatan, data panel ABSTRACTThis research is aimed to analyze the determinant of poverty in South Sulawesi on 2010-2014 period. Using the annual data from Badan Pusat Statistik (BPS) and Direktorat Jenderal Perimbangan Keuangan (DJPK), the estimation applies the Panel Regression with Random Effect Model (REM) as analytical tool inorder to analyze the effect of regional economic growth, unemployment, healthy index, school participation rate and local government expenditure on poverty in South Sulawesi. The empirical results show that all determinant variables simultanously have a positive significant effect on poverty. Meanwhile, regional economic growth partially have a positive effect on poverty. The others such as unemployment, healthy index, school participation rate and local government expenditure partially have a negative effect on  poverty. Because of that matters, local government shall to create an economic growth inclusively, improve the health and education public infrastructures, and increase the supervision of expenditures tokeep going effective and efficient in the poverty reduction effort.Keywords: poverty, South Sulawesi, panel data


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