Usage Efficiency of Financial Poverty Alleviation Funds: An Empirical Analysis of China’s Eastern Rural Areas

2021 ◽  
Vol 7 (6) ◽  
pp. 5622-5632
Author(s):  
Gao Yang ◽  
Wei Wei
Keyword(s):  
Technical Efficiency ◽  
Rural Areas ◽  
Poverty Alleviation ◽  
Capital Investment ◽  
Efficiency Analysis ◽  
Shandong Province ◽  
Investment Model ◽  
Scale Efficiency ◽  
Overall Efficiency ◽  
The Government

Objective: The focus in this study is on how to improve the disharmony between the financial poverty alleviation investment model and the economic development efficiency. Methods: In this paper, based on the efficiency measurement principle of DEA method, an input-output model for evaluating the performance of poverty alleviation funds in counties of Shandong Province is constructed. Then, the data published by the government of 30 poverty-stricken counties in Shandong Province are selected and usedto measure the performance of poverty alleviation funds by Frontier Analyst 4.0 software according to indicators, including comprehensive efficiency analysis (CCR model), pure technical efficiency analysis (BCC model) and scale efficiency analysis (SE model). Results: (1) The average comprehensive efficiency of the use of financial poverty alleviation funds in 30 poverty-stricken counties in Shandong Province is 0.7898, of which 16 values are lower than the average;(2) Among the 30 poverty-stricken counties, the pure technical efficiency of poverty alleviation funds in 15 counties is 1, and the average value of pure technical efficiency is 0.9670, while the pure technical efficiency of poverty alleviation funds in 10 counties is lower than the average level; (3) From the perspective of average scale efficiency, the average scale efficiency of the use of financial poverty alleviation funds in 30 poverty-stricken counties involved in the study is 0.8168, and the use of poverty alleviation funds in more than half of counties shows increasing returns on scale. Conclusion: In poverty-stricken counties, the overall efficiency of the use of financial poverty alleviation funds is not high, among which the pure technical performance of input and output of financial poverty alleviation funds is relatively low. Therefore, under the same investment, more detailed and differentiated capital investment projects should be built to improve the efficiency of resource investment. For some counties with declining returns to scale, poverty alleviation projects with different characteristics can be added to improve the overall efficiency of poverty alleviation funds in counties.

Efficiency evaluation of Indian oil and gas sector: data envelopment analysis

2019 ◽  
Vol 14 (2) ◽  
pp. 362-378 ◽  
Author(s):  
Vikas Vikas ◽  
Rohit Bansal
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Capital Investment ◽  
Oil And Gas ◽  
Stock Exchange ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Content Type ◽  
Indian Economy ◽  
Oil And Gas Sector

Purpose Data envelopment analysis (DEA), a non-parametric technique is used to assess the efficiency of decision-making units which are producing identical set of outputs using identical set of inputs. The purpose of this paper is to find the technical efficiency (TE), pure technical efficiency and scale efficiency (SE) levels of Indian oil and gas sector companies and to provide benchmark targets to the inefficient companies in order to achieve efficiency level. Design/methodology/approach In the present study, a group of 22 oil and gas companies which are listed on the National Stock Exchange for which the data were available for the period 2013–2017 has been considered. DEA has been performed to compare the efficiency levels of all companies. To measure efficiency, three input variables, namely, combined materials consumed and manufacturing expenses, employee benefit expenses and capital investment and two output variables – operating revenues and profit after tax (PAT) have been considered. On the basis of performance for the financial year ending 2017, benchmark targets based on DEA–CCR (Charnes, Cooper and Rhodes) model have been provided to the inefficient companies that should be focused upon by them to attain the efficiency level. The performance of the companies for the past five years has been examined to check the fluctuations in the various efficiency scores of the companies considered in the study over the years. Findings From the results obtained, it is observed that 59 percent, i.e. 13 out of 22 companies are technically efficient. By considering DEA BCC (Banker, Charnes and Cooper) model, 16 companies are observed to be pure technically efficient. In terms of SE, there are 14 such companies. The inefficient units need to improve in terms of input and output variables and for this motive, specified targets are assigned to them. Some of these companies need to upgrade significantly and the managers must take the concern earnestly. The study has also thrown light on the performance of the companies over last five years which shows Oil India Ltd, Gujarat State Petronet Ltd, Petronet LNG Ltd, IGL Ltd, Mahanagar Gas, Chennai Petroleum Corporation Ltd and BPCL Ltd as consistently efficient companies. Research limitations/implications The present study has made an attempt to evaluate the efficiency of Indian oil and gas sector. The results of the study have significant inferences for the policy makers and managers of the companies operating in the sector. The results of the study provide benchmark target level to the companies of Oil and Gas sector which can help the managers of the relatively less efficient companies to focus on the ways to improve efficiency. The improvement in efficiency of a company would not only benefit the shareholders, but also the investors and other stakeholders of the company. Originality/value In the context of Indian economy, very limited number of studies have focused to measure the efficiency of oil and gas sector in the context of Indian economy. The present study aims to provide the latest insight to the efficiency of the companies especially operating in the Indian oil and gas sector. Further, as per our knowledge, this study is distinctive in terms of analyzing the efficiency of Indian oil and gas sector for a period of five years. The longitudinal study of the sector efficiency provides a bird eye view of the average efficiency level and changes in the efficiency levels of the companies over the years.

scholarly journals Indonesia’s Village Fund Program: Does It Contribute to Poverty Reduction?

2021 ◽  
pp. 65-80
Author(s):  
Novita Briliani Saragi
Keyword(s):  
Rural Development ◽  
Rural Areas ◽  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Development Index ◽  
The Status ◽  
The Government ◽  
The Village ◽  
Descriptive Method

To stimulate rural development and reduce poverty in rural areas, The Government of Indonesia enacted the policy of Village Fund in 2014. However, a few studies have been conducted to examine this program. This study describes how poverty alleviation goes following Village Fund Program in Indonesia between 2015-2019. The poverty reduction was represented by holistic data, including insufficient and village status improvement through the Village Development Index (VDI). The analysis is conducted using a descriptive method by dividing the areas into six regions, Sumatera, Java & Bali, Kalimantan, Sulawesi, Maluku & NT, and Papua. The result showed that over five years, the village fund dramatically increases. Moreover, this growth is along with the slight decline the poverty. The researchers found that the decreasing number of poverty from 2015 to 2019 is about 15%. The VDI status for districts/municipalities shows that the status improved from underdeveloped villages in 2015 to developing villages in 2019. Java is the region that contributed to making the status improved either to be developing, developed, or independent. At the same time, it is the Papua region known as the region consisting of most of the least underdeveloped villages. Since the goal of this policy in poverty reduction still works slowly, it needs a lot of effort from many levels of government, from the village, regional, and national officials, to work together cooperatively.

scholarly journals A Study on the Efficiency of Tourism Poverty Alleviation in Ethnic Regions Based on the Staged DEA Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Jianchun Yang ◽  
Ying Wu ◽  
Jialian Wang ◽  
Chengcheng Wan ◽  
Qian Wu
Keyword(s):  
Ethnic Minority ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Poverty Alleviation ◽  
Malmquist Index ◽  
Great Difficulty ◽  
Local Economy ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Two Stages

Poverty alleviation through tourism is an important way for China to achieve targeted poverty alleviation and win the battle of poverty alleviation. As a region with deep poverty and great difficulty in poverty alleviation, whether tourism development has injected key impetus into ethnic minority areas needs to be tested by both qualitative analysis and quantitative measurement. This paper takes eight ethnic provinces (regions) in China as an example to conduct an empirical study. Based on the Data Envelopment Analysis (DEA)-BCC model and Malmquist index, it evaluates the tourism investment and tourism poverty alleviation efficiency of the ethnic regions in the two stages of tourism poverty alleviation, and analyzes them by classification. The results of the study show: (1) The pure technical efficiency in the first stage is relatively high, but the total factor productivity of each region is declining; (2) The pure technical efficiency in the second stage is also relatively high, but the scale efficiency is low, and the change rate of total factor productivity of the provinces in China has increased significantly; (3) The “double high” type includes Guangxi, Inner Mongolia, and Guizhou, and the “double low” type includes Qinghai, Yunnan, Tibet, Xinjiang, and Ningxia. The results of the study generally show that tourism poverty alleviation has brought about the improvement of the living standards of residents and the development of local economy, but the efficiency of tourism poverty alleviation needs to be improved. On this basis, the article puts forward corresponding improvement measures, in order to further help the ethnic minority areas get rid of poverty in a comprehensive way by promoting the efficient and sustainable development of tourism.

scholarly journals Comparison of Cambodian Rice Production Technical Efficiency at National and Household Level

2017 ◽  
Author(s):  
Sokvibol Kea ◽  
Hua Li ◽  
Linvolak Pich
Keyword(s):  
Technical Efficiency ◽  
Capital Investment ◽  
Stochastic Frontier Analysis ◽  
National Level ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Frontier Analysis ◽  
Household Level ◽  
The Government ◽  
National Analysis

Rice is the most important food crop in Cambodia and its production is the most organized food production system in the country. The main objective of this study is to measure technical efficiency (TE) of Cambodian rice production and also trying to identify core influencing factors of rice TE at both national and household level, for explaining the possibilities of increasing productivity and profitability of rice, by using translog production function through Stochastic Frontier Analysis (SFA) model. Four-years dataset (2012-2015) generated from the government documents was utilized for the national analysis, while at household-level, the primary three-years data (2013-2015) collected from 301 rice farmers in three selected districts of Battambang province by structured questionnaires was applied. The results indicate that level of rice output varied according to the different level of capital investment in agricultural machineries, total actual harvested area, and technically fertilizers application within provinces, while level of household rice output varied according to the differences in efficiency of production processes, techniques, total annual harvested land, and technically application of fertilizers and pesticides of farmers. The overall mean TE was estimated at 78.4% (national-level) and 34% (household-level), indicates that rice output has the potential of being increased further by 21.6% (national production) and 66% (household) at the same level of inputs and technology if farmers had been technically efficient. The TE also recorded -7% decreasing rate at the national-level and -14.3% at household-level due to highly affected of natural disasters and various environmental and social factors during the study periods.

scholarly journals Efficiency of Micro and Small Enterprises in Ethiopia: Evidence from Data Envelope Analysis Model

2021 ◽  
Author(s):  
Abebe Birhanu Ayele
Keyword(s):  
Technical Efficiency ◽  
Service Sector ◽  
Returns To Scale ◽  
Least Square ◽  
Scale Efficiency ◽  
Small Enterprises ◽  
Analysis Model ◽  
Micro And Small Enterprises ◽  
The Government ◽  
Constant Returns To Scale

This study measures the technical and scale efficiency of Micro and Small Enterprises (MSEs) and input slacks using Data Envelop Analysis (DEA) model and identifies the determinants of efficiencies of MSEs by employing ordinary least square (OLS) econometrics model. A sample of 375 randomly selected MESs are included in the study. The study found that the average technical and scale efficiency of MSEs are relatively low; technical efficiency averaged at 30 percent and 38.4 percent under constant returns to scale (CRS) and variable returns to scale (VRS) assumptions, respectively. Besides, the overall average scale efficiency score of MSEs was estimated at 77.8 percent. The highest mean technical and scale efficiencies were registered in the construction (71.8 percent) and manufacturing (85.7 percent) sectors, respectively. Whereas, the lowest technical and scale efficiency goes to urban agriculture sector and service sector, with 38.9 percent and 67.2 percent, respectively. The level of inputs, enterprise age and sector, human capital, labor productivity variables significantly affect relative technical efficiency level of MSEs with different directions while variables such as start-up capital, gender of the enterprise manager and availability of support from the government identified statistically not significant in determining the MSEs’ technical efficiency.

scholarly journals What's missing from ‘What's missing’? A reply to C. Cramer and N. Pontara, ‘Rural poverty and poverty alleviation in Mozambique: what's missing from the debate?’

1999 ◽  
Vol 37 (4) ◽  
pp. 697-709 ◽  
Author(s):  
M. Anne Pitcher
Keyword(s):  
Food Security ◽  
Development Strategy ◽  
Rural Areas ◽  
Poverty Alleviation ◽  
Structural Adjustment ◽  
Rural Poverty ◽  
Local Communities ◽  
The Government ◽  
Private Investors ◽  
Democratic Elections

Mozambique has undergone some dramatic changes in recent years. The government concluded a 17-year-old civil war in 1992 and held democratic elections in 1994. Following the adoption of structural adjustment policies after 1987, the government eliminated subsidies on food and consumer items, pledged its support for emerging markets, and has now sold most state companies to private investors. These changes have generated much interest among researchers and policymakers, particularly with regard to their impact on the countryside, where the majority of Mozambicans live and work. Recent studies have focused on the most appropriate rural development strategy for Mozambique now that the war has ended, or examined ways to alleviate the widespread poverty that still exists in rural areas. Other work has analysed the structure of agrarian relations or how to ensure food security. Additional research has criticised the government's on-going policy of encouraging and granting land concessions to private investors. It claims that the policy lacks transparency and fails to consider the rights of local communities.

Research on the roles that education plays in Chinese poverty alleviation

2017 ◽  
Vol 2 (3-4) ◽  
pp. 193-204
Author(s):  
Mengzhu Li
Keyword(s):  
Human Capital ◽  
Logistic Regression ◽  
Rural Areas ◽  
Poverty Alleviation ◽  
Capital Investment ◽  
Rural China ◽  
Binary Logistic Regression ◽  
Poverty Level ◽  
Capital Theory ◽  
Policy Makers

Human capital investment is important for reduction in poverty. This paper – based on human capital theory, taking rural households in the Wuling Mountain Region as the samples, and adopting binary logistic regression – investigates the influences that education has on poverty alleviation in rural China. The results show that educational attainment plays a crucial role in poverty alleviation. For instance, 65.65% of illiterate or just literate people make less than 2300 yuan a year, while 48.76% of those with a primary education earn money at the same level. With a greater educational level, only 34.17% are at the poverty level. The results of logistic regression further support the argument. Our research suggests that policy-makers in China’s anti-poverty action should allocate more educational resources to the poor rural areas in order to further alleviate poverty in rural China.

scholarly journals The Sustainable Palm Oil Policies in Malaysia

2020 ◽  
pp. 56-60
Author(s):  
Sani Shehu ◽  
Mohd Afandi Salleh ◽  
Abdullahi Ayoade Ahmad
Keyword(s):  
Palm Oil ◽  
Rural Areas ◽  
Poverty Alleviation ◽  
Agricultural Sector ◽  
Document Analysis ◽  
Structured Interview ◽  
The Government ◽  
Training Schemes ◽  
Inductive Thematic Analysis ◽  
And Training

In Malaysia, oil palm production serves as a leading sector which contributed a lot to the development of Malaysian economy as a great driving force for the country’s agro-industry. Malaysia has also received global recognition for resources allocation among its citizens and poverty alleviation within the country. It flourishes development of the agricultural sector, it increases government and training schemes. In Malaysia, palm oil has an important contribution to the economic growth, generation of revenues for workers and the government, employment chances in rural areas, improving infrastructure which includes facilities of health and education. Malaysia achieved all these due to good and sustainable policies. The objective of this paper is to show the sustainable Malaysian policies on palm oil, the research is qualitative, it has used document analysis and semi-structured interview, and used inductive thematic analysis to analyse the interview with help of Atlas ti 8 software, the finds of the paper are the sustainable Malaysian policies on palm oil. In conclusion, this paper shows the policies adopted by Malaysia on palm oil which lead to its sustainability.

scholarly journals Analysis of technical efficiency of small-scale commercial farmers in Vhembe district

2021 ◽  
Vol 49 (1) ◽  
pp. 91-104
Author(s):  
M. Muzekenyi ◽  
J. Zuwarimwe ◽  
B.M. Kilonzo
Keyword(s):  
Technical Efficiency ◽  
Rural Areas ◽  
Stochastic Frontier Analysis ◽  
Limpopo Province ◽  
Small Scale ◽  
Stochastic Production Frontier ◽  
Frontier Analysis ◽  
Commercial Farming ◽  
The Government ◽  
Vhembe District

Small-scale commercial farmers are regarded as the strategic avenue to achieve meaningful development in rural areas of South Africa.  The government acknowledged that the inclusion of small-scale commercial farming in its development strategies. The paper aims to measure the efficiency of small-scale commercial farming enterprises in Vhembe District in Limpopo Province. Quantitative data were collected from 217 small-scale commercial farmers using structured questionnaires. The data were standardized using a farming enterprise budget system and analysed using the maximum likelihood and stochastic frontier analysis. The results revealed that aggregate output was positive and significantly influenced by age, education level, farm experience, farm labour, and government grants. However, the projected stochastic production frontier model combined with the efficiency parameters showed that labour and credit computed a negative effect on technical efficiency. The results indicated that the average level of technical efficiency ranged between 20% and 96% with a mean of 54%. This indicates that there is potential to increase production among small-scale commercial farmers in the study area by 46 % through efficient use of existing resources. As such, the local government should provide necessary supports such as formal agriculture training, access to credit and information to increase productivity.

scholarly journals A Non-parametric Estimation for Efficacy of Government Expenditure on Secondary Education

2020 ◽  
Vol 4 (6) ◽  
pp. 30-38
Keyword(s):  
Secondary Education ◽  
Technical Efficiency ◽  
Structural Adjustment ◽  
Government Expenditure ◽  
Individual Performance ◽  
Parametric Estimation ◽  
Primary Data ◽  
Scale Efficiency ◽  
The Government ◽  
Low Efficiency

The paper is aimed to analyse the efficacy of government expenditure on secondary education in Purulia district of West- Bengal, India. Efficacy relates the input or the output to the final objectives of the analysis to be achieved, i.e. the outcome. Education facility is mainly a mixed good which is partly excludable and partly rivalry. India has been suffering from poverty and illiteracy problem for decades. Illiteracy and low level of education is a factor for widespread poverty in India. Among the education system, secondary education plays a crucial role to enhance the human development level which ultimately contributes in development process. So, government should give emphasis on secondary education and it should be concerned about the efficacy of the government expenditure on secondary education. As in the present scenario, the structural adjustment policy (SAP) leads to some sort of cut back on expenditure on education. This study first calculates the technical efficiency as well as the scale efficiency of government expenditure on secondary education of school using Data Envelopment Analysis (DEA), then categorize the schools into low, moderate and high according to the value of technical efficiency and scale efficiency based on three models (i) considering all inputs (Teacher Student Ratio, Expenditure per Student, % of Students belong to SC, % of Students belong to ST, % of Students belong to OBC, % of Teacher with Professional Qualification, Student- Classroom Ratio, % of Girl’s Student Enrolment) (ii) considering prime two inputs (Student-Teacher Ratio and Expenditure per Student) and (iii) considering only one input (Expenditure per Student) and try to find out the reason of differences in efficiency. The common set of schools from High, Moderate and Low efficiency schools considering above said three models are further analysed with the primary data collected from the student sets to analyse whether the school efficiency affect the student’s individual performance or not with the help of regression analysis.

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