Income-Based Poverty among Non-Farm Households in Rural Punjab

This paper focuses upon the magnitude of income-based poverty among non-farm households in rural Punjab. Based on the primary survey, a sample of 440 rural non-farm households were taken from 44 sampled villages located in all 22 districts of Punjab.The poverty was estimated on the basis of income level. For measuring poverty, various methods/criteria (Expert Group Criteria, World Bank Method and State Per Capita Income Criterion) were used. On the basis of Expert Group Income criterion, overall, less than one-third of the persons of rural non-farm household categories are observed to be poor. On the basis, 40 percent State Per Capita Income Criteria, around three-fourth of the persons of all rural non-farm household categories are falling underneath poverty line. Similarly, the occurrence of the poverty, on the basis of 50 percent State Per Capita Income Criteria, showed that nearly four-fifths of the persons are considered to be poor. As per World Bank’s $ 1.90 per day, overall, less than one-fifth of rural non-farm household persons are poor. Slightly, less than one-fourth of the persons are belonging to self-employment category, while, slightly, less than one-tenth falling in-service category. On the basis of $ 3.10 per day criteria, overall, less than two-fifth persons of all rural non-farm household categories were living below the poverty line.

2018 ◽  
Vol 14 (2) ◽  
pp. 115
Author(s):  
Samuel D. Barrows

The dynamics of the five fastest growing GDP per capita economies in Asia and the EU are studied between 2010 and 2014. This time frame was selected in order to avoid the height of the 2008-2009 financial crisis, but to include the stimulus and recovery periods which occurred afterward. The intent was not to compare the recoveries or the impact of the stimulus programs. The intent was to compare the economic growth rates of the two groups and also the absolute per capita income along with five topic areas on economies including: configuration, utilization, investments, demographics, and outcomes. A total of twenty measurements are used for assessment from the World Bank databank website. The findings are that the Asian economies grew faster while the EU economies had a higher per capita income. The workforces of the Asia economies are also younger and more flexible whereas the workforces of the EU economies are older, but more educated. Discussions include the links between effective governments and economic development and the links between democracy and economic levels.


2019 ◽  
Vol 1255 ◽  
pp. 012015
Author(s):  
Solikhun ◽  
Mochamad Wahyudi ◽  
M. Safii ◽  
Syahril Efendi ◽  
Suci Ramadhani ◽  
...  

ABSTRACT The study aimed to examine the inequality in income among various categories of households of rural Punjab. An attempt was made to compare and contrast the relative shares of the different components of income items in the total income of the households across the different rural household categories, along with examining the inequalities in the distribution of income prevailing therein. The analysis showed that an average rural household earns around one and a half lakh rupees annually in rural Punjab. There were considerable variations in the income levels earned among the different rural household categories. The farm business income is the most important component of household income for the farmer households, followed by livestock, pension and salary from private jobs. There were considerable differences in the range of average per capita and the average household incomes of the various rural categories. The per capita income earned by large farm households was 10.79 of times the per capita income earned by agricultural labour households.


2019 ◽  
Vol 2 (2) ◽  
pp. p115
Author(s):  
Farhana Yasmin ◽  
Farhana Ferdousi Aziz

Bangladesh has pool of entrepreneurs whereas there are also new establishments; new employment opportunities and so are the income sources. For the better measurement of entrepreneurship characteristics, the growth and different indicators impact on entrepreneurship needs to be identified. Thus this paper tries to find out the key economic indicators of entrepreneurship in the context of Bangladesh. The research is based on secondary research; has used entrepreneurship as a dependent variable proxied by self-employment and seven independent variables—per capita income, unemployment rate, labor force, industrial structure change, capital, human capital and literacy rate. Two regression models have been used encompassing the stated variable data from year 2008 to 2018. In the first regression analysis it has been tried to identify whether the model can be constructed with the overall economic variables with the self employment. At second regression model it has been tried to find out whether there is the explain ability of the variables result in the regression analysis and what is the degree and pattern of the relationship. The research shows that literacy rate and human capital have aligned with the self employment. But all the other variables are not matched with the self employment and could not provide the support for self employment to thrive. And the linear regression analysis shows that per capita income, labor force and literacy rate play the most important role in case of nourishing self employment. Unemployment rate is found as contradictory with the findings in the context of Bangladesh.


2000 ◽  
Vol 39 (4II) ◽  
pp. 1171-1191 ◽  
Author(s):  
Mustafa K Mujery

With a low level of per capita income, nearly one of every two persons in Bangladesh is poor, and one of three lives below the income poverty line of $ 1 a day.1 If those who are deprived of adequate clothing or shelter or other basic needs are counted, the number will be considerably higher. Similarly, if the people who live ‘above’ the poverty line but are vulnerable to risks, crisis and socioecononomic shocks and are in constant danger of income erosion below the poverty threshold are considered, the number will be still larger. The poor in Bangladesh differ in economic, social, physical and other characteristics which reflect various deprivations. Such multidimensionality of the poor’s interlocking deprivations suggests that a strategy of increasing income alone may not be adequate for reducing poverty.2 With multi-dimensional characteristics, poverty requires a multi-strategy solution in Bangladesh.


2019 ◽  
Vol 20 (1) ◽  
pp. 19-30
Author(s):  
Addinul Yakin ◽  
Sukardi Malik ◽  
Muhammad Yusuf ◽  
Syarif Husni

ABSTRAK Kawasan pegunungan Rinjani, khususnya resort Setiling Batukliang Utara Kabupaten Lombok Tengah memiliki fungsi biologi, ekologis, dan estetika serta sosial-ekonomi bagi masyarakat sekitar hutan. Deforestrasi sering dikaitkan dengan tingkat kemiskinan masyarakat sekitar hutan, sehingga dengan diberikannya Hutan Kemasyarakatan (HKm) di wilayah tersebut dapat meningkatkan pendapatan masyarakat dan menekan kemiskinan. Penelitian ini telah dilaksanakan dengan menggunakan metode deskriptif-eksploratif-partisipatif dengan mengkombinasikan studi dokumen, wawancara terstruktur, indepth interview, serta diskusi kelompok terarah (FGD) terbatas. Penelitian dilakukan desa Aik Berik dan Desa Setiling dengan jumlah responden sebanyak 40 orang, dengan juga melibatkan tokoh masyarakat di wilayah tersebut. Data yang telah dikumpulkan dianalisa secara deskriptif analisis pendapatan rumahtangga dan pendapatan per kapita yang kemudian digunakan untuk menganalisis tingkat kesejahteraan masyarakat berdasarkan tiga standar yang berbeda, yaitu Sajogyo, BPS, dan Bank Dunia. Hasil studi menunjukkan bahwa: 1) rata-rata total pendapatan rumahtangga masyarakat sekitar hutan mencapai Rp. 20.057.950 yang terdiri dari Rp. 13.597.950 (67,79%) dari sektor pertanian  dan Rp. 6.460.000 (32,21%) dari sektor non pertanian dengan pendapatan per kapita sebesar Rp. 4.667.549,- per tahun; 2) berdasarkan kriteria BPS, masyarakat sekitar hutan di kecamatan Batukliang Utara masuk kategori tidak miskin, selanjutnya berdasarkan kriteria Sayogyo menghasilkan kategori hampir miskin, dan Kriteria bank Dunia manghasilkan kategori miskin, sehingga ketiganya memberikan tingkat kesejahteraan yang relatif berbeda; 3) Adanya Hkm telah mampu meningkatkan kesejahteraan masyarakat sekitar hutan karena mampu meningkatkan pendapatan per kapita masyarakat sebesar 22,18 persen dan telah mampu mengentaskan kemiskinan 7,5 sampai 22,5 persen. Oleh karena itu disarankan agar perbaikan ekonomi masyarakat sekitar hutan harus dipercepat melalui pola pembinaan dan pengembangan pada bidang-bidang usaha yang menjadi kekuatan utama mereka yaitu kehutanan, peternakan, dan perkebunan serta juga mendorong peningkatan kegiatan perdagangan dan ekonomi produktif skala rumahtangga. ABSTRACT The Rinjani mountain region, especially the North Batukliang Setiling resort of Central Lombok district holds  functions biological, ecological, and aesthetical and socio-economic functions for the community near the forest. Deforestation is often associated with the level of poverty of the community near the forest, so that introduction of  the Community Forest (HKm) in the region may increase people's income and reduce poverty. This research has been carried out using a descriptive-exploratory-participatory method by combining document studies, structured interviews, in-depth interviews, and limited focus group discussions. The research was conducted at the villages of Aik Berik and Setiling with 40 respondents, as well as community leaders in the area. The collected data was analyzed descriptively by analysis of household income and per capita income which was then used to analyze the level of community welfare based on three different standards, namely Sajogyo, BPS, and the World Bank. The results of the study show that: 1) the average total household income of the community near the forest reaches Rp. 20,057,950 consisting of Rp. 13,597,950 (67.79%) from the agricultural sector and Rp. 6,460,000 (32.21%) from the non-agricultural sector with a per capita income of Rp. 4,667,549, - per year; 2) based on BPS criteria, the community around the forest in the North Batukliang sub-district is categorized as not poor, then based on the Sayogyo criteria produces an almost poor category, and the World Bank Criteria produce a poor category, so the three provide relatively different levels of welfare; 3) The presence of Hkm has been able to improve the welfare of the community near the forest because it is able to increase the per capita income of the community by 22.18 percent and has been able to alleviate poverty 7.5 to 22.5 percent. Therefore, it is suggested that the economic improvement of the community near the forest should be accelerated through policy interventions  in business sectors which are on their main strengths, namely forestry, livestock, and plantations, as well as in non agricutural sector such as trade and other economic activities (such as  home agroindustry).


2018 ◽  
Vol 5 (2) ◽  
pp. 122
Author(s):  
Solikhun Solikhun ◽  
Ahmad Revi ◽  
Syahrul Ramadan ◽  
Rina Novita Sari

<p><em>The problem of poverty is one of the fundamental issues that becomes the center of attention of the Government in any country. In an effort to realize the provisions as stipulated in Article 28A of the 1945 Constitution of the State of the Republic of Indonesia which affirms that every person has the right to live and has the right to maintain his life and life, the GOI has established a poverty reduction program as a priority program. The primary target of poverty is mostly in urban areas, because the large number of residents who do transmigration to improve the economy but failed to get results. This study contributes to the government to predict the per capita opinion of urban communities according to the poverty line based on the province in the future. The data used is data from the National Statistics Agency through the website www.bps.go.id. The data is data on per capita income of urban communities on poverty line by province in 2013 semester 2 until 2016 semester 2. Algorithm used in this research is Artificial Neural Network with Backpropogation method. The input variables are data of year 2014 semester (X1), data of 2014 semester 1 (X2), data of 2014 semester 2 (X3), data of 2015 semester 1 (X4), data of 2015 semester 2 ( X5) and data of 2016 semester 1 (X6) with architectural model of training and testing as much as 4 architecture that is 6-2-1, 6-6-1, 6-3-2-1 and 6-2-3-1. The output generated is the best pattern of the ANN architecture. The best architectural model is 6-3-2-1 with epoch 1190, MSE 0,0102524619 and 100% accuracy rate. From this model, the prediction of per capita income of urban community on the poverty line is based on the provinces of each province in Indonesia.</em></p><p><em><strong>Keywords</strong>: Income Per Capita, ANN, Backpropogation and Prediction</em></p><p><em>Masalah kemiskinan merupakan salah satu persoalan mendasar yang menjadi pusat perhatian Pemerintah di negara manapun. Dalam Upaya mewujudkan ketentuan sebagaimana ditetapkan Pasal 28A Undang-Undang Dasar Negara Republik Indonesia Tahun 1945 yang menegaskan bahwa setiap orang berhak untuk hidup serta berhak mempertahankan hidup dan kehidupannya, maka Pemerintah Indonesia telah menetapkan program penanggulangan kemiskinan sebagai program prioritas. Sasaran primer kemiskinan mayoritas lebih banyak terdapat di perkotaan, sebab banyaknya para penduduk yang melakukan transmigrasi guna memperbaiki perekonomian namun malah gagal mendapatkan hasil. Penelitian ini memberikan kontribusi bagi pemerintah untuk dapat memprediksi pendapat perkapita masyarakat perkotaan menurut garis kemiskinan berdasarkan propinsi ke depan. Data yang digunakan adalah data dari Badan Statistik Nasional melalui website www.bps.go.id. Data tersebut adalah data pendapatan perkapita masyarakat perkotaan pada garis kemiskinan berdasarkan propinsi tahun 2013 semster 2 sampai dengan tahun 2016 semester 2. Algoritma yang digunakan pada penelitian ini adalah Jaringan Saraf Tiruan dengan metode Backpropogation. Variabel masukan (input) yang digunakan adalah data tahun 2013 semester 2(X1), data tahun 2014 semester 1(X2), data tahun 2014 semester 2(X3), data tahun 2015 semester 1(X4), data tahun 2015 semester 2(X5) dan data tahun 2016 semester 1(X6) dengan model arsitektur pelatihan dan pengujian sebanyak 4 arsitektur yakni 6-2-1, 6-6-1, 6-3-2-1 dan 6-2-3-1. Data target diambil dari data tahun 2016 semster 2. Keluaran yang dihasilkan adalah pola terbaik dari arsitektur JST. Model arsitektur terbaik adalah 6-3-2-1 dengan epoch 1190, MSE 0,0102524619 dan tingkat akurasi 100%. Dari model ini maka dihasilkan prediksi pendapatan perkapita masyarakat perkotaan pada garis kemisikinan berdasarkan propinsi dari masing-masing propinsi di Indonesia.</em></p><p><em><strong>Kata Kunci</strong>: Pendapata Perkapita, JST, Backpropogation dan Prediksi</em></p>


2004 ◽  
Vol 28 (5) ◽  
pp. 447-466 ◽  
Author(s):  
Niels Noorderhaven ◽  
Roy Thurik ◽  
Sander Wennekers ◽  
Andre van Stel

1973 ◽  
Vol 12 (4) ◽  
pp. 433-437
Author(s):  
Sarfaraz Khan Qureshi

In the Summer 1973 issue of the Pakistan Development Review, Mr. Mohammad Ghaffar Chaudhry [1] has dealt with two very important issues relating to the intersectoral tax equity and the intrasectoral tax equity within the agricultural sector in Pakistan. Using a simple criterion for vertical tax equity that implies that the tax rate rises with per capita income such that the ratio of revenue to income rises at the same percentage rate as per capita income, Mr. Chaudhry found that the agricultural sector is overtaxed in Pakistan. Mr. Chaudhry further found that the land tax is a regressive levy with respect to the farm size. Both findings, if valid, have important policy implications. In this note we argue that the validity of the findings on intersectoral tax equity depends on the treatment of water rate as tax rather than the price of a service provided by the Government and on the shifting assumptions regard¬ing the indirect taxes on imports and domestic production levied by the Central Government. The relevance of the findings on the intrasectoral tax burden would have been more obvious if the tax liability was related to income from land per capita.


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