Farmer Exchange Rate and Agricultural Land Conversion Analysis to Agricultural Sector Poverty in Indonesia

Setiyowati, Indah Lestari; Sasongko, Sasongko; Noor, Iswan

doi:10.17977/um002v10i12018p035

Cited by 7 publications

(11 citation statements)

References 4 publications

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“…The fluctuations in the farmer exchange rates are also indicated by changes in regional gross domestic product and economic growth at the national level. The rate has a direct and indirect effect on farmer poverty (Setiyowati et al 2018). Our analysis of the ten provinces concluded that the highest rate was in Riau, and the lowest in Nangro Aceh Darussalam.…”

Section: Conclusion and Recomendations 51 Conclusionmentioning

confidence: 73%

“…We divided previous studies into two main topics: the farmer exchange rate and the consumer confidence index regarding the monetary sector. Research conducted by Setiyowati, Sasongko, & Noor (2018) found that the farmer exchange rate is an indicator of farmers' welfare and can be a measurement of their real income (Setiyowati et al 2018;Syekh, 2013). The Indonesian farmer exchange rate tended to increase from 2009 to 2013.…”

Section: Previous Studiesmentioning

confidence: 99%

“…The rate has direct and indirect effects on farmers' poverty. It can have a negative effect; if the rate increases, it will reduce the rate of farmer poverty (Setiyowati et al 2018). In essence, the rate will be a driver for farmers' performance; a rising farmer exchange rate will improve farmers' prosperity (Syekh, 2013).…”

Section: Previous Studiesmentioning

confidence: 99%

“…The farmer exchange rate is one indicator to determine the level of farmer welfare, so can be a measurement of farmers' real income (Setiyowati et al 2018;Syekh, 2013). Figure 3 shows that the farmer exchange rate after the pandemic broke out is higher than before.…”

Section: B Correlation Of Real Sector Variablesmentioning

confidence: 99%

“…This could have occurred due to the subsidies provided by the government to the poor during pandemic, which was one of the Indonesian government's policies to increase the consumption of lowincome people. The farmer exchange rate has a direct negative effect on poverty; if it increases, it will reduce the rate of farmer poverty (Setiyowati et al 2018). In essence, the will be a driver for farmers' performance, so an increased rate will improve farmers' prosperity (Syekh, 2013).…”

Section: B Correlation Of Real Sector Variablesmentioning

confidence: 99%

See 4 more Smart Citations

How Has the Covid-19 Pandemic Affected the Real and Monetary Sectors in Indonesia?

Yunita

2021

JIMF

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This study aims to find empirical evidence for the effects of the Covid-19 pandemic on the Indonesia real and monetary sectors. The real sector condition is represented by fluctuations in the farmer exchange rate in ten provinces; this rate has direct and indirect effects on farmers’ welfare. On the other hand, the condition of the monetary sector is illustrated by shifts in the consumer confidence index due to fluctuations in Islamic and conventional financial system indicators. We used a panel regression model to examine the farmer exchange rate and a binary logistic regression model to examine the consumer confidence index. The results statistically demonstrate that the pandemic conditions have affected both the real sector and the consumer confidence index of the Islamic financial sector. However, the pandemic has not affected the consumer confidence index of the conventional financial sector. This phenomenon exists because of the speculative action from conventional investors in taking risks and opportunities, which are forbidden in the Islamic context. The indicator which shifts the conventional consumer confidence index is the composite stock index (IHSG), while the Islamic consumer confidence index is shifted by changes in the Islamic money market rate, the Jakarta Islamic index and the Islamic banking capital ratio. Our empirical findings conclude that, in such a critical situation, the behaviour of conventional and Islamic consumers is totally different, thus influencing consumer confidence in each sector.

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Section: Conclusion and Recomendations 51 Conclusionmentioning

confidence: 73%

Section: Previous Studiesmentioning

confidence: 99%

Section: Previous Studiesmentioning

confidence: 99%

Section: B Correlation Of Real Sector Variablesmentioning

confidence: 99%

Section: B Correlation Of Real Sector Variablesmentioning

confidence: 99%

See 3 more Smart Citations

How Has the Covid-19 Pandemic Affected the Real and Monetary Sectors in Indonesia?

Yunita

2021

JIMF

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Farmer exchange rate category: A Prediction analysis using ANN back propagation

Syaharuddin¹,

Azis

Panggabean

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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The Farmer Exchange Rate (FER) is one of the indicators in determining the welfare level of farmers. Every month this large FER has a change especially at the end of each season during harvest, the price game especially from producers often occurs so that not a few farmers complain and suffer losses. Therefore, there need to be efforts from the government is looking at past data trends to find the amount of FER in the future so that policies can side with farmers. Artificial Intelligent with a multilayer Back Propagation method is very good for modeling and forecasting of data series in the past with data input in the form of a matrix mxn. The simulation results show that in 2020 in NTB there is an average increase in the exchange rate of farmers of 118.76%, this means that farmers are experiencing a surplus or farmers’ incomes are rising more than their expenditures. However, it appears that from June-August and October-November there was an average decrease of 2%, although overall there was increase of 2.076%. This result was obtained by the construction of a network architecture of two hidden layers where theMSE of 0.12, and MAPE of 0.23.

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Perkembangan Nilai Tukar Petani Ternak Ruminansia Besar dan Faktor-faktor yang Mempengaruhinya di Nusa Tenggara Timur

Koylal,

Kuang,

Abineno

2023

JPPT

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Sektor peternakan Nusa Tenggara Timur memiliki dampak pengganda yang besar terhadap kesejahteraan dan penyerapan tenaga kerja. Salah satu pendekatan yang digunakan untuk mengukur kesejahteraan petani adalah nilai tukar petani. Penelitian bertujuan untuk mengkaji perkembangan nilai tukar petani ternak ruminansia besar Nusa Tenggara Timur dengan deskriptif kuantitatif dan faktor-faktor yang mempengaruhinya dengan model regresi berganda. Data yang digunakan adalah nilai tukar petani sektor peternakan dan nilai tukar petani ternak ruminansia besar selama kurun waktu Januari 2017 hingga Desember 2020 yang diperoleh dari Badan Pusat Statistik. Hasil penelitian menunjukkan bahwa meskipun rata-rata nilai tukar petani ternak ruminansia besar Nusa Tenggara Timur lebih rendah dari rata-rata Nasional tetapi kecenderungannya semakin meningkat. Secara parsial hanya upah buruh tani berpengaruh signifikan terhadap nilai tukar petani ternak ruminansia besar dan secara bersama-sama pengeluaran konsumsi rumah tangga; harga bibit; harga obat-obatan dan pakan; sewa lahan, pajak, dan lainnya; biaya transportasi; biaya penambahan barang modal; dan upah buruh tani merupakan penjelas yang signifikan terhadap nilai tukar petani ternak ruminansia besar. Kata kunci: ternak, ruminansia, peternak, kesejahteraan

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Farmer Exchange Rate and Agricultural Land Conversion Analysis to Agricultural Sector Poverty in Indonesia

Cited by 7 publications

References 4 publications

How Has the Covid-19 Pandemic Affected the Real and Monetary Sectors in Indonesia?

How Has the Covid-19 Pandemic Affected the Real and Monetary Sectors in Indonesia?

Farmer exchange rate category: A Prediction analysis using ANN back propagation

Perkembangan Nilai Tukar Petani Ternak Ruminansia Besar dan Faktor-faktor yang Mempengaruhinya di Nusa Tenggara Timur

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