scholarly journals Assessing the Vulnerabilities of Current and Future Production Systems in Punjab, Pakistan

2019 ◽  
Vol 11 (19) ◽  
pp. 5365 ◽  
Author(s):  
Naqvi ◽  
Nadeem ◽  
Iqbal ◽  
Ali ◽  
Naseem
Keyword(s):  
Climate Change ◽  
Capita Income ◽  
Production Systems ◽  
Negative Impact ◽  
Per Capita Income ◽  
Analysis Model ◽  
Farming Communities ◽  
Future Production ◽  
Pathways Analysis ◽  
Per Capita

Mankind is in peril and there are many reasons for this; however, climate change precedes all other reasons. Problems of poor farming communities are augmented due to the menace of climate change. This study endeavors to determine the effect on farming communities of both climate change and a situation without climate change. To carry out the study, three different districts were selected (Rawalpindi, Chakwal, and Layyah). Impact of the climate vagaries on per capita income, farm returns, and poverty of the respondents was taken into consideration. To achieve pathways analysis, regional representative agricultural pathways were used. The decision support system for agrotechnology transfer (DSSAT) crop growth model was employed for wheat-related simulations. The tradeoff analysis model for multidimensional impact assessment (TOA-MD) model was used for economic analysis. The results lend credence to the aforementioned nuisance of climate change, as the findings which came through were negatively affecting farm returns, per capita income, and poverty of the farmers. The negative impact applies to both current and future production systems. Farmers are up against the wall because of climate change and they will have to adopt new innovations to raise their productivity.

scholarly journals ZAKAT AND ECONOMIC DEVELOPMENT: STUDY IN THREE MUSLIM COUNTRIES IN SOUTHEAST ASIA

2021 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
An’im Kafabih ◽  
Setyo Tri Wahyudi
Keyword(s):  
Economic Development ◽  
Capita Income ◽  
Panel Data Analysis ◽  
Per Capita Income ◽  
Analysis Model ◽  
Muslim Countries ◽  
Model Study ◽  
Majority Population ◽  
Per Capita ◽  
Douglas Production Function

The objective of this study is to analyze the effect of zakat on per capita income as one indicator of economic development. The data is analyzed by Cobb-Douglas production function and panel data analysis model. Study findings show that zakat significantly and positively affect on per capita income. This study also found that compared to Foreign Direct Investment (FDI), most popular instrument of government to increase economic development, zakat has a greater coefficient. In addition, Muslims as a majority population on average unable to contribute significantly to economic development. However, they could contribute to zakat as seen from increase in amount of zakat collection.

Economic growth based on agricultural modernisation

2021 ◽  
pp. 002072092098370
Author(s):  
Qian Li ◽  
Miao Zeng ◽  
Jiang Du
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Negative Impact ◽  
Spillover Effect ◽  
Modern Technology ◽  
Agricultural Products ◽  
Relative Price ◽  
Per Capita Income ◽  
Per Capita ◽  
Relative Productivity

Agricultural modernisation is a way for China to implement its strategy of ‘Rural Revitalisation’ and comprehensively build a modern socialist country. Based on a two-sector theoretical model, this paper explores the factors restraining the transformation from traditional to modern agriculture and their relationship with economic growth. Using a sample of 31 provinces and cities in mainland China from 1990 to 2016, the results show that the relative price of industrial and agricultural products has a direct impact on the willingness of people to adopt modern technology. Specifically, the relative price of industrial and agricultural products forms a single combined threshold for agricultural modernisation, while the relative productivity of industry and agriculture form a double threshold for per capita GDP, these also show a significant nonlinear relationship. Moreover, the agricultural modernisation of the provinces and cities in the mainland of China is not randomly distributed. There are hot spots with high-value aggregations. The relative productivity has a significant spillover effect on per capita income, and has a negative impact on per capita income in neighbouring areas. Agricultural modernisation can breakthrough economic stagnation and become the driving force for the economy to enter a new round of growth.

scholarly journals The Impact of Per Capita Income and Labour Absorption toward Poverty Level in Gorontalo Province

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Nelvi Oktaviani R Gobel ◽  
Sri Endang Saleh
Keyword(s):  
Capita Income ◽  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Series Data ◽  
Per Capita Income ◽  
Poverty Level ◽  
Per Capita ◽  
The Impact ◽  
Labour Absorption

This research aims to investigate the impact of per capita income and labour absorption toward poverty level in Gorontalo Province during 2012-2017. This research uses time-series data model from secondary datasets that is obtained from Central Statistics Bureau (Badan Pusat Statistik, BPS). Main findings of this research shows that per capita income has negative impact on poverty level in Gorontalo province while labour absorption has positive impact on poverty level in Gorontalo Province. Keywords: Poverty; Per Capita Income; Labor Absorption

scholarly journals HOUSEHOLDS’ WILLINGNESS TO PAY FOR SOLID WASTE MANAGEMENT SERVICES IN LOC NINH COMMUNE, DONG HOI CITY

2018 ◽  
Vol 55 (4C) ◽  
pp. 162
Author(s):  
Tran Ngoc Tuan
Keyword(s):  
Willingness To Pay ◽  
Capita Income ◽  
Solid Waste Management ◽  
Weighted Average ◽  
Sampling Technique ◽  
Per Capita Income ◽  
Analysis Model ◽  
Number Of Factors ◽  
Local Residents ◽  
Per Capita

The willingness to pay (WTP) for environmental sanitation fee was examined with an aim to estimate the average WTP of local residents in Loc Ninh commune, Dong Hoi city, and to analyze a number of factors influencing the WTP level. Ninety six households were selected with a Stratified Random Sampling technique and interviewed with structured questionnaires on different fee levels that they were willing to pay for. The analysis results processed with Weighted Average Method showed that the average WTP was 18,440 VND/month. The highest and lowest WTP per month were 26,000÷29,000 VND/month and 17,000 VND/month, respectively. Based on Regression Analysis Model added in the Analysis Toolpak of MS. Excel, this paper investigated 4 key demographic characteristics of respondents; namely age, sex, occupation and per capita income which likely affected the WTP level. Of which, education and per capita income greatly influenced the WTP, i.e. respondents with higher levels of these factors showed higher level of WTP. In terms of occupation, the WTP of those residents who were engaged in farming were lower than that of other surveyed occupations.

scholarly journals ZAKAT AND ECONOMIC DEVELOPMENT: STUDY IN THREE MUSLIM COUNTRIES IN SOUTHEAST ASIA

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
An’im Kafabih ◽  
Setyo Tri Wahyudi
Keyword(s):  
Economic Development ◽  
Capita Income ◽  
Panel Data Analysis ◽  
Per Capita Income ◽  
Analysis Model ◽  
Muslim Countries ◽  
Model Study ◽  
Majority Population ◽  
Per Capita ◽  
Douglas Production Function

The objective of this study is to analyze the effect of zakat on per capita income as one indicator of economic development. The data is analyzed by Cobb-Douglas production function and panel data analysis model. Study findings show that zakat significantly and positively affect on per capita income. This study also found that compared to Foreign Direct Investment (FDI), most popular instrument of government to increase economic development, zakat has a greater coefficient. In addition, Muslims as a majority population on average unable to contribute significantly to economic development. However, they could contribute to zakat as seen from increase in amount of zakat collection.

Spatial Analysis of the Relationship Between Income and Consumption of the Population Based on Panel Data

2021 ◽  
Vol 28 (2) ◽  
pp. 128-139
Author(s):  
I. A. Lakman ◽  
V. M. Timiryanova ◽  
D. V. Popov
Keyword(s):  
Panel Data ◽  
Capita Income ◽  
Fixed Effects ◽  
Negative Impact ◽  
Positive Impact ◽  
Per Capita Income ◽  
Spatial Error ◽  
Spatial Dependencies ◽  
Per Capita ◽  
The Relationship

The article presents results of a study on influence of population dynamics, regional characteristics and the type structure of income on consumption. The ability to investigate spatial dependencies and territorial effects over time was made possible by autoregression spatial models built on panel data. The article describes features of such models, sequence of calculations, and also presents modified tests to justify the choice of the model specification.Calculations were made using data from 83 constituent entities of the Russian Federation (cross-sectional observations) for 2010–2019 (10 time periods). The analysis showed that both population income and retail turnover, which largely determine the level and structure of population consumption, have spatial dependencies. The built spatial error model with fixed effects showed a positive influence on population consumption in the neighboring territories. The model also confirmed previously identified relationships: the positive impact of average per capita income and the negative impact of the Gini index on consumption. The built model with fixed effects allowed to isolate the individual effects of the territories, visualized using cartogram. On the basis of these assessments, several groups of territories with common properties and characteristics have been identified.Unlike previously built models, the authors’ spatial error autoregression model, built on panel data, took into account both the geographical heterogeneity and spatial dependence of average per capita income and retail turnover, expanding the existing understanding of the relationship between consumption and income. This, in turn, enables management decisions that take into account previously undetected features and enhance their validity.

scholarly journals Gender Inequality: Dampaknya terhadap Pendapatan Per Kapita (Studi Kasus 33 Provinsi di Indonesia 2011-2019)

2021 ◽  
Vol 1 (1) ◽  
pp. 47-52
Author(s):  
Cita Puspita Sari
Keyword(s):  
Economic Growth ◽  
Women Workers ◽  
Gender Inequality ◽  
Capita Income ◽  
Negative Impact ◽  
National Level ◽  
Per Capita Income ◽  
Per Capita ◽  
The Government ◽  
The Impact

Gender Inequality (gender inequality) is a classic problem in various countries, especially in developing countries like Indonesia. Gender inequality in various fields is considered to hinder economic growth. Slowing economic growth is considered to have a negative impact on income, both at the national level and the per capita level. Researchers are interested in examining per capita income as a proxy for economic growth. Per capita income is a measure of community welfare that is most often used by the government. This study aims to examine the description of gender inequality and per capita income in Indonesia, and analyze the impact of gender inequality on per capita income in Indonesia. The results of descriptive analysis show that there are still gender disparities in all provinces throughout Indonesia in 2011-2019. Furthermore, based on the results of the inference analysis using panel data, this study concludes that gender inequality simultaneously has a significant effect on per capita income. Gender inequality variables that have a partial effect include wages for women workers, women's labor force participation, and gender development

scholarly journals Prediction of changing climatic effect and risk management by using simulation approaches for rice-wheat system in Bangladesh

2019 ◽  
Vol 44 (2) ◽  
pp. 311-326
Author(s):  
MK Hasan ◽  
S Akhter ◽  
MAH Chowdhury ◽  
AK Chaki ◽  
MRA Chawdhery ◽  
...  
Keyword(s):  
Climate Change ◽  
Capita Income ◽  
Positive Impact ◽  
Climatic Conditions ◽  
Per Capita Income ◽  
Impact Of Climate Change ◽  
Global Circulation Models ◽  
Wheat Cultivation ◽  
Per Capita ◽  
The Impact

A study was carried out on the impact of climate change in rice-wheat systems on farmers’ livelihood in Dinajpur region of Bangladesh to evaluate the usefulness of the implication of simulation approaches to predict climate change effect and to manage risk for this cropping system. Trade-off analysis for multidimensional impact assessment (TOA-MD) model was used in the study with a combination of simulated baseline production and future simulated yield using Decision Support Systems for Agro-technology Transfer (DSSAT) and Agricultural Production Systems SIMulator (APSIM) in rice and wheat production system. Five different climate scenarios of Global Circulation Models (GCMs) were considered. The projections showed to have a negative economic impact between 50 and 82% for the difference in the magnitude and in the impact of different GCMs which was not possible to overcome. The survey revealed that northwest region of Bangladesh is likely to be affected by climate change and has high levels of vulnerability due to limited access to alternative livelihood activities other than farming. Simulation results showed no additional economic gain from wheat cultivation under changed climatic conditions, but increased economic profit was obtained from rice cultivation due to increased productivity trend. Therefore, study suggests an adaptation package of 50 mm additional irrigation water for wheat cultivation that could be an appropriate strategy to mitigate climate change risk in wheat cultivation. This practice had a positive impact on projected per capita income gains of about 2.05%in the study area and reduced poverty rate by about 1.99%. The study also revealed that prediction of the APSIM model for adaptation impact of climate change on economic return and per capita income of farmers was superior to DSSAT model. Bangladesh J. Agril. Res. 44(2): 311-326, June 2019

scholarly journals Analisis Permintaan Beras di Provinsi Kalimantan Tengah

2018 ◽  
Vol 3 (2) ◽  
pp. 99-107
Author(s):  
Revi Sunaryati
Keyword(s):  
Capita Income ◽  
Income Elasticity ◽  
Consumer Preference ◽  
Per Capita Income ◽  
Analysis Model ◽  
Central Kalimantan ◽  
Elasticity Of Demand ◽  
Test Variable ◽  
Per Capita ◽  
Instant Noodles

The purpose of this study is to analyzes the factors that influence the function of demand for rice in the province of Central Kalimantan during the last 20 years, and to determine the elasticity of demand for rice in the province of Central Kalimantan. Purposively making research sites in The Province of Central Kalimantan. Data collected in the form of secondary data that is demand for rice in the province of Central Kalimantan during the last 20 years with methods of literature arid study the documents that have been provided are obtained from agencies 1-nd private or government institutions that are related to this research The data analysis using Cobb Douglas function. The result of this study is that static analysis model adjusted R2 value of 0.945, which means the proportion of the contribution of independent variables to dependent variable amounted to 94.50%, while the remaining 5.50% is explained by other variables outside the- research such as taste, flavor and consumer Preference. Based on F test variable price of rice, the price of instant noodles, per capita income, population, and education together significantly affected the demand for rice. Based on t-test variable number of people significantly influence demand of rice at the rate of 95%, while per capita income and education variables significantly influence demand for rice at 90% confidence level. The variables specified in the model and does not affect the demand for rice in the Province of Central Kalimantan is the price of rice and the prices of instant noodles. Elasticity of demand for static model based on price elasticity, price inelastic. Based on cross elasticity, the price of instant noodles do not include substitute goods. Based on the income elasticity, per capita income, is inferior.

Sign in / Sign up

Export Citation Format

Share Document