Efficiency of Finnish general upper secondary schools: an application of stochastic frontier analysis with panel data

2012 ◽  
Vol 20 (4) ◽  
pp. 343-364 ◽  
Author(s):  
Tanja Kirjavainen
Keyword(s):  
Panel Data ◽  
Secondary Schools ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Frontier Analysis ◽  
Upper Secondary ◽  
Upper Secondary Schools

HOW FUNDING STRUCTURE AFFECTS EFFICIENCY OF R&D INVESTMENT BY LARGE- AND MEDIUM-SIZED INDUSTRIAL FIRMS IN CHINA? EVIDENCE FROM PROVINCE-LEVEL PANEL DATA

2019 ◽  
Vol 64 (04) ◽  
pp. 921-938
Author(s):  
YIXIAO ZHOU ◽  
RUNYANG ZHANG ◽  
LIGANG SONG
Keyword(s):  
Panel Data ◽  
Stochastic Frontier Analysis ◽  
New Products ◽  
Stochastic Frontier ◽  
Government Funding ◽  
Private Funding ◽  
Industrial Firms ◽  
Frontier Analysis ◽  
D Investment ◽  
Province Level

This study explores the efficiencies of firm’s R&D investment depending on the degree of reliance on government funding relative to firms’ private funding. Stochastic frontier analysis is applied on a sample of 30 provinces with data on R&D inputs and innovation outputs by all large- and medium-sized industrial firms in these provinces from 2000 to 2013. It is found that R&D investment financed by firms’ private funding is more efficient than that by government funding in generating new products, whereas R&D investment financed by government funding is more efficient than that by firms’ private funding in producing new patents.

scholarly journals KEBERLANJUTAN USAHA PENANGKAPAN PURSE SEINE DI PEKALONGAN DITINJAU DARI ASPEK EFISIENSI USAHA

2018 ◽  
Vol 11 (2) ◽  
pp. 7-13
Author(s):  
Dian Ayunita N.N. Dewi ◽  
B.A. Wibowo ◽  
Iqbal Ali Husni
Keyword(s):  
Maximum Likelihood ◽  
Panel Data ◽  
Cross Section ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Purse Seine ◽  
Frontier Analysis ◽  
Likelihood Model

Tujuan dari penelitian ini adalah menghitung efiensi teknis usaha penangkapan purse seine di PPN Pekalongan secara stokastik dan deterministik dan menganalisis efisiensi teknis untuk mengetahui prospek keberlanjutan usaha penangkapan purse seine di PPN Pekalongan. Metode analisis menggunakan Stochastic Frontier Analysis (SFA) dan Deterministic Frontier Analysis (DFA). SFA dan DFA merupakan model parametrik yang digunakan untuk mengukur efisiensi teknis. Model 1: DFA dengan data cross-section akan diestimasi dengan COLS. Model 2: SFA dengan data cross-section akan diestimasi dengan ML (Maximum Likelihood). Model 3: SFA dengan data panel diestimasi dengan proses ML. Variabel independent yang digunakan pada penelitian ini adalah lama trip (fishing days atau X1), GRT (Gross Registered Tonnage atau X2) kapal, jumlah ABK (crew members atau X3) sebagai faktor determinan yang digunakan oleh penangkapan purse seine di lokasi penelitian. Dan variabel terikat (Y) adalah output yaitu produksi tangkapan per tahun dari tahun 2015-2017. Fokus penelitian pada kapal purse seine berukuran 60-90 GT. Hasil dari penelitian ini adalah efisiensi teknis dari kedua kelompok kapal menunjukkan nilai inefisiensi dalam penggunaan ketiga variabel input. Hal ini diperkuat dengan hasil nilai korelasi (R) pada metode Deterministik Frontier dan Stokastik Frontier dengan data cross section serta panel data yang rendah (0,39 dan 0,311). Variabel X1 (lama trip) memiliki hubungan negatif dengan variabel Y (produksi) sedangkan X2 dan X3 memiliki hubungan positif terhadap Y. Pada armada penangkapan purse seine ukuran 60-90 GT, ketiga variabel input tidak mempunyai pengaruh yang signifikan terhadap perubahan jumlah produksi penangkapan.

Disaggregate energy efficiency of regions in Taiwan

2018 ◽  
Vol 29 (1) ◽  
pp. 34-48 ◽  
Author(s):  
Jin-Li Hu ◽  
Ming-Chung Chang ◽  
Hui-Wen Tsay
Keyword(s):  
Energy Efficiency ◽  
Panel Data ◽  
Energy Use ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Real Income ◽  
Stochastic Production Frontier ◽  
Content Type ◽  
Frontier Analysis ◽  
Electricity Power

Purpose The purpose of this paper is to explore Taiwan’s regional energy efficiency trend and complement the work of the total-factor energy efficiency (TFEE) index proposed by Hu and Wang (2006). It further extends panel data stochastic frontier analysis (SFA) modeling for estimating disaggregate energy efficiency. Design/methodology/approach This paper applies the panel data stochastic production frontier to estimate the TFEE scores for 20 administrative regions in Taiwan over the period 2004-2015. The SFA models include five inputs (employed population, amount of productive electricity power consumed, amount of electricity consumed for household and non-household electric lighting, amount of gasoline sales, and amount of diesel sales) and one output (total real income in the base year of 2011). Findings This research concludes with three main findings: the inefficient administrative regions of Taiwan include mostly large industrial parks and the petrochemical industry cluster; the top five administrative regions with inefficient diesel use are mostly metropolitan areas that the concern of air pollution caused by diesel system arouses the awareness to use less diesel fuel; and the average TFEE score on household and non-household electric lighting is higher than the usage efficiency of productive electricity power, gasoline, and diesel, but there is still room for efficiency improvement. Originality/value Most administrative regions in Taiwan are not efficient in almost all kinds of energy use. The results show that the efficiencies of using productive electricity power, gasoline, and diesel need to be improved a lot more.

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