Analysis of influencing factors of use of agricultural land

Cintina, Vita; Pukite, Vivita

doi:10.22616/rrd.24.2018.028

Cited by 9 publications

(6 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The papers [2; 3] focus on the analysis of the agriculture data and finding optimal parameters to maximize the crop production using different data mining techniques. Several authors analyzed influencing Factors of the use of agricultural land [4]. R. Manishimwe et al [5] outlined the prime Factors influencing the price structure for farm products.…”

Section: Analysis Of Recent Research and Publicationsmentioning

confidence: 99%

Factors of pricing of agricultural products

Tetiana¹

2023

Herald of KNUTE

View full text Add to dashboard Cite

Introduction. Price is the main factor that has a direct impact on the main results of the enterprises, especially agricultural. The pricing policy is able to maintain the competitiveness of the enterprise, to ensure its solvency and stability. Problem. Pricing is carried out in a complex interaction of a set of internal and external Factors. The corresponding complexity of the phenomenon leads to the need to include many Factors in the model, which can negatively affect the result. The numerous number of Factors necessitate the use of methods that allow the identification of the most statistically significant Factors and assess their relationship with the resulting feature. The aim of the article is to identify the main Factors and their influence on the formation and change of the price of agricultural products using Factor analysis. Methods. Different methods such as mathematical and statistical (factor analysis, principal component), economic and statistical (multiple regression method based on factor scores) and generalization were applied in the article. Results. The application of Factor analysis and method of principal components determine the most significant Factors influencing the formation of agricultural products prices. The author used different dimensionality reduction methods and obtained three main components: supply, demand, and the solvency of the population. This helped to reveal the relationship between variables and price without multicollinearity problem. Conclusions. The author used Factor analysis and the principal component method; it helped to take into account the peculiarities of the relationships between the indicators that characterize potato pricing, to eliminate multicollinearity between independent indicators, to get fewer common Factors than the original number of variables, to obtain a quantitative assessment of the latent variable. The use of orthogonal rotation helped to distribute the load on all three Factors more evenly, which simplified their further interpretation and to save 95 % of the total primary information after rotation and to reduce the dimensionality of the feature space, which is a high indicator for practical tasks.

show abstract

Section: Analysis Of Recent Research and Publicationsmentioning

confidence: 99%

Factors of pricing of agricultural products

Tetiana¹

2023

Herald of KNUTE

View full text Add to dashboard Cite

show abstract

“…Hal tersebut akan mendorong peningkatan jumlah luas lahan garapan untuk memproduksi komoditas yang lebih tinggi pada tahun berikutnya. Kapasitas dan produktivitas lahan juga memainkan peran penting dalam memanfaatkan lahan pertanian, semakin produktif lahannya, semakin besar kemungkinan akan dikelola dan dihasilkan (Cintina & Pukite, 2018). Dengan perubahan besar pada penggunaan lahan pertanian, memberi jalan bagi penggunaan lahan perumahan di daerah pinggiran kota.…”

Section: Hasil Dan Pembahasan Statistik Deskriptif Variabelunclassified

“…Meningkatkan efisiensi penggunaan lahan adalah masalah topikal di banyak negara. Oleh karena itu, indikator sistem pengukuran efisiensi lahan dan cara menghitung efisiensi lahan ekonomi perlu dikembangkan (Cintina & Pukite, 2018).…”

unclassified

Pengaruh Urbanisasi terhadap Lahan Garapan di Indonesia

Wijayanti

Priyanto²

2022

agriscience

View full text Add to dashboard Cite

Pangan dan papan merupakan dua kebutuhan primer manusia yang membutuhkan ketersediaan lahan. Permasalahan akan terjadi apabila kebutuhan papan (perumahan, kawasan industri, perkantoran, dan pusat perbelanjaan) lebih besar daripada kebutuhan pangan (kawasan pertanian) akibat peningkatan jumlah penduduk. Kondisi tersebut mengakibatkan meningkatnya persaingan antara kedua kebutuhan tersebut di tengah ketersediaan lahan yang cenderung tetap. Kami mengevaluasi dampak urbanisasi terhadap luas lahan garapan di Indonesia menggunakan data sekunder dari tahun 1961 hingga 2016. Kami menggunakan analisis Prais Winsten dan Cochrane-Orcutt, dimana variabel independent yang digunakan adalah pertumbuhan urbanisasi, PDRB sektor pertanian tahun sebelumnya, produktivitas padi tahun sebelumnya, dan PDRB sektor industri digunakan sebagai variabel bebas. Hasil analisis menunjukkan bahwa luas lahan garapan dipengaruhi secara negatif oleh pertumbuhan urbanisasi dan dipengaruhi secara positif oleh PDB sektor pertanian pada tahun sebelumnya. Inisiatif bantuan harus menempatkan prioritas tinggi pada perencanaan kota yang baik dan perlindungan lahan pertanian yang ketat.

show abstract

“…Likewise, on the contrary the narrower at area cultivated, the lower the production obtained. Te area of cultivated land is one of important factors in increasing farm production (Cintina and Pukite, 2018).…”

Section: Effect Of Land Area (X1) On the Farm Productionmentioning

confidence: 99%

Factors Affecting Production in Theintensification of Lowland Rice Farming in Parigi Moutong Regency, Indonesia

Sulaeman¹,

Cyio²,

Rauf³

2020

IJAEB

View full text Add to dashboard Cite

The purpose of this study is to analyze the factors affecting production in the intensification of lowland rice farming. This research was conducted by descriptive analytical method. Population in this study were all farmers who cultivated paddy rice farming in two villages. Variable research is paddy rice production, land area (ha), amount of seeds used (kg), use of urea fertilizer (kg), use of NPK fertilizer (kg), use of KCL (kg), farmer's age (years old), farmer's education (year), labor, farmer's experience, frequency of agriculture counselling. The analysis model used was the Cobb-Douglass model of multiple regression analysis. Results of research are the effect of land area factor (X1), labor (X2), seed (X3), use of urea fertilizer (X4), use of NPK fertilizer (X5), use of KCL fertilizer (X6), frequency of agricultural counselling (X10) and intensification of farming (D) together (simultaneous) affect the intensification of rice farming to production (Yi) with p < 0,05. The coefficient of determination (R2) = 0.983 or 98.30%. Conclusion is the effect of production on the intensification of paddy rice farming where land area, labor, use of seeds, use of urea fertilizer, use of NPK fertilizer, use of Kcl, frequency of counselling and the effect of farm intensification have significant effect. The effect of labor on intensification of paddy rice farming where production, experience, education and intensification of farming are significant.

show abstract

Analysis of influencing factors of use of agricultural land

Cited by 9 publications

References 1 publication

Factors of pricing of agricultural products

Factors of pricing of agricultural products

Pengaruh Urbanisasi terhadap Lahan Garapan di Indonesia

Factors Affecting Production in Theintensification of Lowland Rice Farming in Parigi Moutong Regency, Indonesia

Contact Info

Product

Resources

About