Analysis of factors affecting the technical inefficiency on Indonesian palm oil plantation

Abdul, Irawati; Sari, Dyah Wulan; Haryanto, Tri; Win, Thinzar

doi:10.1038/s41598-022-07113-7

Cited by 7 publications

(5 citation statements)

References 25 publications

(41 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where: u -technical inefficiency; δ i -indicates coefficients of the regression function; class i -indicates various factors that indicate the supposed differences between companies; W it -indicates a random variable defined by the truncated normal distribution with 0 mean and σ 2 variance. Abdul et al (2022) We uploaded the latest version (1.1-8) of the R statistics frontier package used for the calculations on April 17, 2020. Henningsen (2020) used Coelli's FRONTIER 4.1 program to create this program; however, this conference paper also included a three-step approach to calculating efficiency.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Financial efficiency analysis of Hungarian agriculture, fisheries and forestry sector

Fenyves¹,

Tarnóczi²,

Bács³

et al. 2022

AGR ECON-CZECH

View full text Add to dashboard Cite

In this study, we examine the efficiency of companies in Hungary's agriculture, fisheries and forestry sector. We analysed corporate efficiency by using stochastic frontier analysis (SFA). We used two methods to perform the SFA calculations – the Cobb-Douglas and translog functions. The result variable for the SFA calculation was gross value added (GVA), and the explanatory variables were tangibles, material costs, employee costs and other costs. The original database contained cross-sectional and time series data and was transformed into a panel database. We used the maximum log-likelihood method for parameter estimation. We performed the efficiency analysis in the case of the Cobb-Douglas and translog functions in two ways – first, without z variables (factor effects) and second, considering different factors (subsectors, workforce categories, ranking by total assets and ranking by total sales). Taking z variables into account increased the value of the efficiency coefficients. The latter model's results show that the companies' average performance in the sector examined was more than 70%. Further calculations also showed that the subsectors of the agriculture, fisheries and forestry sector differed in efficiency scores. The larger companies operated more efficiently than the smaller ones in the sector examined.

show abstract

Section: Methodsmentioning

confidence: 99%

“…also used the same model to analyse the efficiency of white cumin production in northwestern Ethiopia. The difference between the two studies is thatAbdul et al (2022) used a separate model, whereas Abate et al (2022) treated factors affecting inefficiency as a combined model.…”

mentioning

confidence: 99%

Financial efficiency analysis of Hungarian agriculture, fisheries and forestry sector

Fenyves¹,

Tarnóczi²,

Bács³

et al. 2022

AGR ECON-CZECH

View full text Add to dashboard Cite

show abstract

“…These conditions are common in developing countries (Trachuk & Linder 2018). In the Indonesian case, a sub-optimal allocation of factors across firms is commonly found (Javorcik et al 2012;Sari et al 2016;Yasin & Esquivias 2023), leading to low productivity growth and gains only occurring in specific sectors (Setiawan & Lansink 2018;Abdul et al 2022;Suyanto et al 2012).…”

Section: Review Of Literature Export Links With Technical Efficiency ...mentioning

confidence: 99%

The Effects of Market Concentration, Trade, and FDI on Total Factor Productivity: Evidence from Indonesian Manufacturing Sector

2023

JEM

View full text Add to dashboard Cite

This study empirically examines the effects of exports, imports, market concentration, and foreign direct investment (FDI) on total factor productivity (TFP). We use a sample of 18,002 Indonesian manufacturing firms, categorized according to technology intensity of low, medium, and medium-high over 2010-2014. TFP and its sub-components, e.g., technical efficiency, technological progress, and scale effect, are estimated using a Malmquist Productivity Index (MPI). The estimation results indicate that market concentration, trade, and FDI positively impact technical efficiency and production scale, but reduce technological progress, which inhibits sectoral development. FDI inflows in Indonesia increase technical efficiency but negligibly enhance technological competencies and the scale of operation in recipient sectors. Increasing firm size is crucial in achieving greater productivity. An increase in market concentration has a negative effect on TFP. This negative impact increases as the share of exports, imports, and FDI in the sector intensifies. Investment and export promotion policies should be tailored based on the technology intensity (low, medium, and medium-high) as the effects of FDI and export participation differ across industries.

show abstract

“…Penelitian menunjukkan bahwa implementasi inisiatif CSR di Indonesia dapat memberikan dampak positif terhadap kinerja keuangan perusahaan dan kesejahteraan masyarakat (Afrin et al, 2020). Selain itu, peran pemerintah dalam menetapkan peraturan dan standar CSR juga berperan penting dalam mendorong perusahaan untuk mengadopsi praktik-praktik ini (Se et al, 2022). Penelitian juga menemukan bahwa tingkat kepemilikan institusional dan kepemilikan manajerial, serta praktik manajemen laba, secara tidak langsung dapat mempengaruhi kinerja CSR.…”

Section: Pengaruhunclassified

Pengaturan CSR Dalam Rangka Percepatan Pembangunan Sosial Dan Lingkungan Di Indonesia

Sumiyati,

Hendar,

Wiyanti

2023

Anterior J

View full text Add to dashboard Cite

Tanggung Jawab Sosial Perusahaan telah menjadi aspek penting dalam manajemen perusahaan di Indonesia. Tujuan utama penerapan CSR di Indonesia adalah untuk menciptakan lingkungan bisnis yang berkelanjutan yang memenuhi kebutuhan berbagai pemangku kepentingan sekaligus memajukan tujuan sosial, lingkungan, dan ekonomi. Hal ini termasuk bertanggung jawab atas kegiatan perusahaan yang dapat menyebabkan kerusakan pada lingkungan dan menjaga kesejahteraan masyarakat setempat. Selain itu, sesuai dengan amanat UU No. 40 tahun 2007, semua perusahaan yang terdaftar di Indonesia diwajibkan untuk menerapkan praktik CSR yang berfokus pada pembangunan ekonomi berkelanjutan dengan tetap menyeimbangkan dimensi sosial dan lingkungan dalam kegiatan bisnis Perusahan. Sehingga dengan pengaturan CSR ini mampu menciptakan pembangunan Sosial dan lingkungan yang baik, serta mampu memberikna dampak positif bagi perusahaan tersebu. Penelitian ini menggunakan penelitian normatif empiris, dengan pendekatan peraturan perundang-undangan dan doktrinal, serta menggunakan sumber data sekunder dari bahan hukum primer, dan di analisis menggunakan analisis seskriptif. Sehingga menghasilkan simpulan bahwa pengaturan CSR dalam ranka percepatan pembangunan sosial ini mampu memberikan kontribusi besar bagi sosila dan lingkungan serta bermanfaat bagi perusahaan.

show abstract

Analysis of factors affecting the technical inefficiency on Indonesian palm oil plantation

Cited by 7 publications

References 25 publications

Financial efficiency analysis of Hungarian agriculture, fisheries and forestry sector

Financial efficiency analysis of Hungarian agriculture, fisheries and forestry sector

The Effects of Market Concentration, Trade, and FDI on Total Factor Productivity: Evidence from Indonesian Manufacturing Sector

Pengaturan CSR Dalam Rangka Percepatan Pembangunan Sosial Dan Lingkungan Di Indonesia

Contact Info

Product

Resources

About