The Structure of Nominal Protection

1993 ◽  
pp. 63-77
Author(s):  
David Greenaway ◽  
Chris Milner
Keyword(s):  
Nominal Protection

scholarly journals Daya Saing Komoditas Padi Sawah di Kecamatan Biboki Moenleu Kabupaten Timor Tengah Utara Provinsi Nusa Tenggara Timur

AGRIMOR ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 66-68
Author(s):  
Umbu Joka ◽  
Yohanes Pebrian Vianney Mambur
Keyword(s):  
Cost Ratio ◽  
Input Output ◽  
Private Cost ◽  
Resource Cost ◽  
Domestic Resource ◽  
Nominal Protection

Penelitian inibertujuan untuk menganalisis daya saing ( keunggulan komparatif dan keunggulan kompetitif) serta menganalisa dampak kebijakan pemerintah pada harga input (subsidi pupuk) dan output (harga dasar gabah) terhadap pendapatan usahatani padi sawah di Kecamatan Biboki Moenleu, Kabupaten Timor Tengah Utara. Penelitian ini dilaksanakandari bulan Juli s/d Agustus tahun 2020. Penentuan sampel mengunakan teknik simple random samplingyaitu secara acak berjumlah 100 petani. Jenis data yang digunakan yaitu data primer dan data sekunder. Metode analisis data yang digunakan yaitu metode deskriptif kualitatif dan Policy Analisys Matrix(PAM). Hasil penelitian: 1)Usahatani padi sawah di Kecamatan Biboki Moenleu,Kabupaten Timor Tengah Utaramemilki keunggulan kompetitif nilai Private Cost Ratio(PCR) sebesar 0,19 dan keunggulan komparatif nilai Domestic Resource Cost Ratio(DRCR) sebesar 0,13 sehingga usahatani padi sawah layak untuk diteruskan. 2). Kebijakan pemerintah pada harga input-output pada usahatani padi sawah di Kecamatan Biboki Moenleu,Kabupaten Timor Tengah Utaraberdampak nyata terhadap pendapatan petani padi sawah pada harga privatdengan nilai Nominal Protection Coefficient on Tradable Output(NPCO) sebesar 1,13 dan nilai Subsidy Ratio of Producer(SRP) sebesar0,05.

scholarly journals DINAMIKA DAYA SAING USAHA RUMPUT LAUT

2015 ◽  
Vol 10 (2) ◽  
pp. 117
Author(s):  
Mira Mira ◽  
Riesti Triyanti ◽  
Yayan Hikmayani
Keyword(s):  
Policy Analysis ◽  
Competitive Advantage ◽  
Government Policies ◽  
Cost Ratio ◽  
Effective Protection ◽  
Private Cost ◽  
Study Sites ◽  
The Impact ◽  
Policy Analysis Matrix ◽  
Nominal Protection

<p>Program revitalisasi pada sektor perikanan telah berjalan sejak 8 tahun yang lalu dan telah berdampak pada usaha budidaya dan daya saing rumput laut di Indonesia. Penelitian ini bertujuan untuk mengkaji dinamika daya saing rumput laut yang banyak dibudidayakan di daerah pesisir dan pulau-pulau kecil. Metode pengumpulan data menggunakan metode survey dan wawancara dengan pembudidaya rumput laut di Nusa Penida dan Lombok Timur. Metode analisis data yang digunakan adalah Policy Analysis Matrix (PAM) dengan membandingkan daya saing rumput laut tahun 2005 dan 2013. Hasil analisis mengindikasikan bahwa di dua lokasi penelitian dengan adanya intervensi pemerintah dari tahun ke tahun menyebabkan keuntungan yang diterima pembudidaya pada tahun 2013 rumput laut lebih besar (PC (Profitabity Coofficient) &gt; 1)) jika dibandingkan tanpa kebijakan (PC &lt; 1) (tahun 2005). Keefektifan perhatian pemerintah tersebut bisa dilihat dari nilai SRP <em>(Subsidy Ratio to Producers)</em> dan EPC <em>(Effective Protection Coofficient)</em> yang berubah dari tahun 2005 dan 2013, bila pada tahun 2005 nilai SRP bertanda negatif dan EPC &lt; 1, yang artinya subsidi dan kebijakan pemerintah belum efektif melindungi usaha rumput laut. Tahun 2013, nilai SRP bertanda positif dan EPC ) &gt; 1 di masing-masing lokasi penelitian, yang artinya kebijakan pemerintah dan subsidi efektif mengembangkan usaha rumput laut. Dalam kurun waktu 8 tahun usaha rumput laut memiliki keunggulan kompetitif dan keunggulan komparatif yang bisa dilihat dari nilai DRC dan PCR (Private Cost Ratio), meskipun ada tren penurun keungulan kompetitif, karena pada tahun 2013 di Nusa Penida menggunakan BBM yang memiliki komponen impor yang lebih besar. Implikasi kebijakan pemerintah (kebijakan input) di dua lokasi penelitian yang diindikasikan dengan nilai NPCI <em>(Nominal Protection Coofficient on Input)</em> yang semakin meningkat maka keberpihakan pemerintah Nusa Penida lebih tinggi dibandingkan keberpihakan pemerintah Lombok Timur terhadap input usaha rumput laut baik itu tahun 2005 maupun pada tahun 2013.</p><p> </p><p><em>(Competitive and Comparative Dinamics of the Seaweed Busineses)</em></p><p>Revitalization policy programs in the fisheries sector which has been creating since 8 years ago have the impact on the competitiveness seaweed at Small Islands. The purpose of this study examines competitive and comparative of seaweed. Survey and interview with seaweed cultivators were conducted at The Eastern Nusa Penida and The Eastern Lombok. Data analysis method uses a Policy Analysis Matrix (PAM). Results of the analysis indicate that in the two study sites government intervention have a positive impact. Benefits received by farmers in 2013 (PC (Profitabity Coofficient) &gt; 1) greater than without a policy of revitalization in 2005 ( PC &lt;1). The effectiveness of government policies showed by SRP (Subsidy Ratio to Producers) and EPC (Effective Protection Coofficient) values were changed from 2005 and 2013. The value of the SRP in 2005 is negative and EPC &lt;1, it means subsidies and government policies have not been effective in protecting the seaweed business. SRP value is positive and EPC)&gt; 1 in each of the research sites after 8 years of revitalization was launched (2013), it means government policies and subsidies effectively develop seaweed business. Seaweed business has also a competitive advantage and comparative advantages, it shown the DRC (Dosmetic Cost Ratio) and PCR (Private Cost Ratio) value. There is trend-lowering competitive advantage in Nusa Penida, because farmers in 2013 using a fuel that has a greater import components. Intervention of government (in terms of policy input) at two study sites increases the value of NPCI (Nominal Protection Coofficient on Input). The concern of Nusa Penida government on input seaweed business is higher than in the Eastern Lombok government.</p><p><em><br /></em></p>

scholarly journals Economic Study of the Comparative Advantage and Competitiveness of Small Holdings for Fattening Cows Calves in Nineveh Governorate for the Year 2018

2021 ◽  
Vol 34 (2) ◽  
pp. 220-239
Author(s):  
Alla M. Abdullah ◽  
Ghadeer G. Farhan ◽  
Radhwan M. Abdullah
Keyword(s):  
Competitive Advantage ◽  
Comparative Advantage ◽  
Meat Product ◽  
Red Meat ◽  
Government Support ◽  
Primary Data ◽  
Meat Production ◽  
Questionnaire Form ◽  
Second Category ◽  
Nominal Protection

The study aims to measure the comparative and competitive advantage of red meat production in the Kokjali region of Nineveh through some measures derived from the policy analysis matrix. The study relied on the primary data collected through the questionnaire form for a random sample of (100) fields included (5610) imported calves in the Kokjali district of Nineveh Governorate for the production year 2018. The sample was distributed into three categories according to the number of calves. The sample was divided into three categories, according to the number of calves, the first category of fields contains 25-49 calves and their number reached 35 fields, and the second category represents fields that contain 50-74 Calf has reached 48 fields, and the third category represents the fields that contain 75 calves or more and reached 17 fields. The results of the study indicated that the measures of protection and indicators of comparative advantage showed that there is no government support to protect red meat production in the domestic market for the year 2018 and this is clear from the nominal protection coefficient of the outputs 0.263. The same is the case with the nominal protection coefficient of inputs 1.212, as the results of the study showed that there is no government support. In addition, the measure of the special costs ratio indicated that the red meat product system has international competitiveness 0.004. Finally, the value of the local resource cost factor 0.131 indicated that the Kokceli area has a comparative and competitive advantage for the production of red meat, as the coefficient appeared to be less than the correct one.

Export of Maize from India: Destinations and Competitiveness

2020 ◽  
pp. 437-443
Keyword(s):  
Markov Chain ◽  
Moderate Degree ◽  
Markov Chain Analysis ◽  
Chain Analysis ◽  
Export Competitiveness ◽  
Nominal Protection

The study examined the direction of trade of maize by Markov chain analysis and showed that Bangladesh was the most stable market of Indian maize as it could retain its share of 90.07 percent, Indonesia, Malaysia and Vietnam with 63.44, 62.33 and 45.92 percent retention were found to be major destinations for Indian maize exports. The most unstable markets among the maize importing countries were Taiwan and UAE with the zero percent retention. The analysis of export competitiveness revealed that the Indian maize has a moderate degree of competitiveness as Nominal Protection Coefficients during all the years studied ranged between 0.5 and 1.0.

scholarly journals Nominal Performance of Future Dual Frequency Dual Constellation GBAS

2016 ◽  
Vol 2016 ◽  
pp. 1-20 ◽  
Author(s):  
Daniel Gerbeth ◽  
Mihaela-Simona Circiu ◽  
Maria Caamano ◽  
Michael Felux
Keyword(s):  
Error Bounds ◽  
The Other ◽  
Dual Frequency ◽  
Varying Parameters ◽  
Dilution Of Precision ◽  
Processing Modes ◽  
Nominal Performance ◽  
The Individual ◽  
Nominal Protection

In this work an overview of numerous possible processing modes in future dual frequency, dual constellation GBAS is given and compared to the current GAST D standard. We discuss the individual error contributions to GBAS protection levels and give an overview of the general processing. Based on this the consequences when adding a second constellation as well as frequency are investigated. Geometrical implications and changes to the residual differential error bounds are studied separately first. In terms of geometry a comparison between the single and dual constellation case is presented using dilution of precision as metric. The influence on the different sigma contributions when using new satellites (Galileo) and signals (E1, L5, and E5a) is individually discussed based on recent measurements. Final simulations for different varying parameters are carried out to compare relevant processing modes in terms of achieved nominal protection levels. A concluding discussion compares the outcomes and analyzes the implications of choosing one or the other mode.

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