scholarly journals New Round of Collective Forest Rights Reform, Forestland Transfer and Household Production Efficiency

Land ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 988
Author(s):  
Jinna Yu ◽  
Yiming Wei ◽  
Wei Fang ◽  
Zhen Liu ◽  
Yujie Zhang ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Positive Impact ◽  
Field Investigation ◽  
Jiangxi Province ◽  
Scale Efficiency ◽  
Policy Effects ◽  
Influence Mechanism ◽  
Household Productivity ◽  
The Impact

The purpose of this paper was to analyze the influence mechanism of the new round of Collective Forest Rights Reform (CFRR) on farmers’ production efficiency from the perspective of forestland transfer. Based on the panel data of field investigation in Jiangxi Province, a panel logit model was used to verify whether the new round of CFRR has affected farmers’ forestland circulation behavior. The results showed that the new round of CFRR has played a significant role in promoting forestland circulation. Secondly, the non-parametric DEA method was used to estimate the technical, scale, and comprehensive efficiency of households. DID and panel quantile models were constructed to analyze the impact of forestland inflow policy and forestland outflow policy effects on rural household productivity. The regression results showed that the effect of forestland inflow has had a significantly positive impact on scale and comprehensive efficiency, but it only had a significant effect on technical efficiency in the 0.1 quartile. The effect of forestland outflow was not found to be significant for technical, scale, and comprehensive efficiency, but it was found to be negative for technical efficiency in the 0.75 quartile and negative for scale efficiency in the 0.5 and 0.75 quantiles.

scholarly journals Efficiency Evaluation of China’s Public Sports Services: A Three-Stage DEA Model

2021 ◽  
Vol 18 (20) ◽  
pp. 10597
Author(s):  
Pengyu Ren ◽  
Zhaoxia Liu
Keyword(s):  
Technical Efficiency ◽  
Environmental Variables ◽  
Positive Impact ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Fitness Program ◽  
Dea Model ◽  
Service Efficiency ◽  
The Impact

Improving the level of public sports services enhances citizens’ physical fitness by implementing the national fitness program. A systematic and scientific efficiency evaluation is a prerequisite for optimizing and improving the level of public sports services in China. Based on data of the Chinese Statistic Yearbook, this study adopted the three-stage data envelopment analysis (DEA) model to measure and analyze the efficiency of public sports services in 31 provinces in China in 2016. To analyze the efficiency of public sports services, technical efficiency was decomposed into pure technical efficiency and scale efficiency. Simultaneously, environmental variables were added to improve accuracy. The results showed that scale efficiency was overestimated, and external technical efficiency was underestimated, before the elimination of external factors and environmental variables. Environmental factors significantly impacted the efficiency of public sports services. Regional gross domestic product (GDP) had a potentially positive impact, while population size partially restricted public sports service efficiency. After eliminating the impact of environmental and random factors, the comprehensive efficiency, pure technical efficiency, and scale efficiency of public sports services all showed improvement in varying degrees. The results provide beneficial insights for the formulation of rational improvement policies for public sports services.

scholarly journals Smallholders’ Agricultural Production Efficiency of Conservation Tillage in Jianghan Plain, China—Based on a Three-Stage DEA Model

2020 ◽  
Vol 17 (20) ◽  
pp. 7470
Author(s):  
Xin Yang ◽  
Guangyin Shang
Keyword(s):  
Environmental Factors ◽  
Technical Efficiency ◽  
Agricultural Production ◽  
Production Efficiency ◽  
Conservation Tillage ◽  
Policy Support ◽  
Scale Efficiency ◽  
Jianghan Plain ◽  
Dea Model ◽  
The Impact

Based on interviews with 695 smallholders in Jianghan Plain, this paper introduced the three-stage data envelopment analysis (DEA) model to analyze the agricultural production efficiency of conservation tillage adopters and explored the impact of environmental factors on agricultural production efficiency. The empirical results showed the following (1) Planting area, seed consumption, labor input, pesticide usage, chemical fertilizer usage, agricultural film usage were selected as input indicators, agricultural output was chosen as an output indicator, and the traditional DEA model was used to calculate the production efficiency of smallholders, and the agricultural production efficiency of smallholders was found to be at a low level. In addition, environmental and random factors both have significant impacts on efficiency, so they should be stripped. (2) After excluding environmental factors and random factors, the drop in pure technical efficiency of smallholders in the third stage was higher than the drop in scale efficiency when compared with the first stage. Moreover, the true technical efficiency was the main restricting factor for the agricultural production efficiency. (3) Educational level of smallholders, policy support, and information acquisition were the factors that affect the technical efficiency significantly. Improving the efficiency of agricultural production technology for smallholders requires strengthening rural basic education, improving subsidy policies for conservation agricultural technology, and establishing and improving rural information technology services.

Impact of Determinants of Industrial Development on Employment and Wages in Indian Manufacturing

2020 ◽  
pp. 18-30
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Technical Change ◽  
Positive Impact ◽  
Manufacturing Sector ◽  
Factor Productivity ◽  
Firm Level ◽  
Employment Level ◽  
The Impact ◽  
Level Performance

ABSTRACT The present study was undertaken to explore the evolution of the impact of firm-level performance on employment level and wages in the Indian organized manufacturing sector over the period 1989-90 to 2013-14. One of the major components of the economic reform package was the deregulation and de-licensing in the Indian organized manufacturing sector. The impact of firm-level performance on employment and wages were estimated for Indian organized manufacturing sector in major sub-sectors in India during the period from 1989-90 to 2013-14 of the various variables namely profitability ratio, total factor productivity change, technical change, technical efficiency, openness (export-import), investment intensity, raw material intensity and FECI in total factor productivity index, technical efficiency, and technical change. The study exhibited that all explanatory variables except profitability ratio and technical change cost had a positive impact on the employment level. Out of eight variables, four variables such as net of foreign equity capital, investment intensity, TFPCH, and technical efficiency change showed a positive impact on wages and salary ratio and rest of the four variables such as openness intensity, technology acquisition index, profitability ratio, and technical change had negative impact on wages and salary ratio. In this context, the profit ratio should be distributed as per the marginal rule of economics such as the marginal productivity of labour and capital.

How tourism industry agglomeration improves tourism economic efficiency?

2021 ◽  
pp. 135481662110091
Author(s):  
Zhoufei Li ◽  
Huiyue Liu
Keyword(s):  
Positive Impact ◽  
Regional Analysis ◽  
Tourism Industry ◽  
Scale Efficiency ◽  
Eastern Region ◽  
Location Quotient ◽  
Industry Agglomeration ◽  
Central Regions ◽  
National Perspective ◽  
The Impact

The agglomeration of the tourism industry has important effects on its efficiency. This article used panel data on the Chinese provincial tourism industry for the 2011–2016 period, applied the location quotient index and three-stage data envelopment analysis method to, respectively, measure the degree of agglomeration and efficiency, and explained the impact of agglomeration on tourism efficiency. The empirical results of this study indicate the following. (1) China’s tourism industry shows a trend towards agglomeration, revealing gradient differences where the highest degree of agglomeration is in the eastern region, followed by the western and central regions. (2) After eliminating random and environmental factors, the adjusted efficiencies are lower than the unadjusted efficiencies. The average overall tourism efficiency is higher in the eastern region than in the central and western regions. (3) From the national perspective, industrial agglomeration can significantly improve the overall efficiency (TE), pure technical efficiency (PTE), and scale efficiency of the tourism industry. (4) Based on regional analysis, the agglomeration of the eastern tourism industry can significantly enhance its TE and PTE. Agglomeration for the western area has a significant positive impact on PTE. There is no significant relationship between agglomeration and efficiency in the central region.

scholarly journals Impact of Irrigation Ecology on Rice Production Efficiency in Ghana

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
John Kanburi Bidzakin ◽  
Simon C. Fialor ◽  
Dadson Awunyo-Vitor ◽  
Iddrisu Yahaya
Keyword(s):  
Economic Efficiency ◽  
Production Efficiency ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Rice Production ◽  
Cross Sectional ◽  
Rice Farmers ◽  
Effect Regression ◽  
The Impact

Irrigation production is a means by which agricultural production can be increased to meet the growing food demands in the world. This study evaluated the effect of irrigation ecology on farm household technical, allocative, and economic efficiency of smallholder rice farmers. Cross-sectional data was obtained from 350 rice farmers across rain fed and irrigation ecologies. Stochastic frontier analyses are used to estimate the production efficiency and endogenous treatment effect regression model is used to estimate the impact of irrigation ecology on rice production efficiency. The impact of irrigation ecology on technical efficiency is about 0.05, which implies farmers producing under irrigation ecology are more technically efficient in their rice production than those in rain fed production. The impact of irrigation ecology on allocative efficiency is about 0.33, which shows that farmers participating in irrigation farming are more allocatively efficient in their rice production than those in rain fed production. The impact on economic efficiency is about 0.23, meaning that farmers participating in irrigation farming are more economically efficient in their rice production than those in rain fed production. Irrigation ecology has positive impact on production efficiency; hence farmers should be encouraged to produce more under irrigation for increased yield and profit.

scholarly journals Performance of Village Unit Co-Operatives in Yogyakarta Special Region: A Data Envelopment Analysis Approach

2017 ◽  
Vol 1 (2) ◽  
pp. 067
Author(s):  
Abi Pratiwa Siregar ◽  
Jamhari Jamhari ◽  
Lestari Rahayu Waluyati
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Best Practice ◽  
Negative Impact ◽  
Positive Impact ◽  
Three Dimensions ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Rice Milling ◽  
Special Region

This study assessed the performance of 32 village unit co-operatives (KUD) in Yogyakarta Special Region during 2011 to 2012. The efficiency level of the KUD were evaluated by employing the data envelopment analysis and multiple regression analysis using panel data to determine the factors affecting efficiency level. Efficiency analysis was decomposed into three dimensions to explore possible sources of inefficiency. According to Marwa and Aziakpono (2016), the first dimension was technical efficiency, which explored the overall effectiveness of transforming the productive inputs into desired outputs compared to the data-driven frontier of best practice. The second dimension was pure technical efficiency, which captured managerial efficiency in the intermediation process. The third dimension was scale efficiency, which explored whether KUD were operating in an optimal scale of operation or not. The results found that the average scores are 64%, 92%, and 68% for technical, pure technical, and scale efficiency respectively in 2011, while in 2012 the average scores are 57%, 94%, and 60% for technical, pure technical, and scale efficiency. Factors having significantly positive impact on several measures of efficiency are incentive and dummy variables (agriculture inputs and hand tractor). Accounts receivable only has positive relationship to pure technical efficiency. On the other hand, rice milling unit and electricity services have negative impact with several measures of efficiency.

Off-Farm Employment and Outsourcing Production Effects on the Technical Efficiency of Farm Households’ Grain Production - A Case with the Data from Liaoning Province, China

2014 ◽  
Vol 472 ◽  
pp. 1074-1078 ◽  
Author(s):  
Xiao Yan Han ◽  
Di Chen ◽  
Wen Shi ◽  
Jie Lv
Keyword(s):  
Technical Efficiency ◽  
Positive Impact ◽  
Liaoning Province ◽  
Scale Efficiency ◽  
Grain Production ◽  
Step Method ◽  
Negative Effect ◽  
Farm Scale ◽  
High Level ◽  
On Farm

This paper analyzed the effects of the off-farm employment and the outsourcing production pattern on the technical efficiency of grain production by the two-step method of DEA-Tobit, based on the data of grain production in the major areas of Liaoning province, in the year of 2011. It observed these findings that off-farm employment and income structure change did not have an effect on technical efficiency. Even then this is evidence that age makes a negative effect on farm technical efficiency but it is weakly. Farm scale and specialization have a positive effect on technical efficiency. And both large farm and small farms scale efficiency is on a high level. So a limited impact on farm technical efficiency comes from farm scale as well as a significant positive impact comes from farms production outsourcing.

scholarly journals The Impact of ICT on Technical Efficiency of Vietnam’s Enterprises

2021 ◽  
pp. 65-73
Author(s):  
Nguyen Anh Phong ◽  
Bui Thi Quynh Dao ◽  
Le Thi Thuy Hue ◽  
Nguyen Ngoc Van Khanh ◽  
Nguyen Lam Thanh Ngan ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Labor Productivity ◽  
Positive Impact ◽  
Market Size ◽  
Sustainable Performance ◽  
Output Factors ◽  
Equity Ratio ◽  
High Level ◽  
Logit Regression Model ◽  
The Impact

This research evaluates the impact of ICT on the technical efficiency of firms in 63 provinces and cities in Vietnam. We apply to use the DEA method in which we use the variable return to scale to evaluate because firm sizes in 63 provinces are different. At the same time, this method aims to minimize input factors without reducing output factors to measure technical efficiency. This result that is used a binary variable in the logit regression model to identify factors that have an impact on technical efficiency, especially the ICT factor. The research results show that only nearly 10% of the provinces could be technically efficient in business activities. Provinces with sustainable performance and efficiency all depend on influencing factors such as equity ratio, labor productivity, market size, investment, and especially the ICT factor keep increasing over the years and fluctuate around a pretty high level. On the other hand, for the group of unsustainable and ineffective provinces, these variables tend to decrease and fluctuate around at a low level. The research shows that factors in labor productivity, equity ratio, market size, investment, and ICT all have a positive impact on a firm’s performance in 63 provinces and cities of Vietnam. Therefore, firms that want to enhance their efficiency need to have strategies to improve the factors mentioned above. Moreover, the local government needs to improve the ICT index to help to increase their local Enterprises’ efficiency.

scholarly journals Simulating Impact of Technical Efficiency of Livestock Production On Women’s Empowerment in Feed The Future Zone of Bangladesh

2021 ◽  
Author(s):  
Paresh Kumar Sarma
Keyword(s):  
Technical Efficiency ◽  
Positive Impact ◽  
Women's Empowerment ◽  
Livestock Production ◽  
Women’S Empowerment ◽  
Livestock Farming ◽  
Data Set ◽  
The Future ◽  
Feed The Future ◽  
The Impact

Abstract This study explores the impact of technical efficiency (TE) on women empowerment in livestock index (WELI) in feed the future zone of Bangladesh. Considering the livestock farming households a total of 906 data (out of 2064) were extracted from the national representative data set of the Bangladesh integrated household survey (BIHS) in 2018. The descriptive statistics, inferential statistics, Alkire Forster methodology, stochastic frontier model, and ordered probit regression modeling were applied for achieving the objective. The results found that the overall WELI score was 0.735 where about 26.65% (WELI score ≥0.80) of women were empowered. The TE score was 0.941 and 0.942 for male and 0.940 for female and male-headed households, respectively. The research revealed found that a positively significant (P<0.05) relationship between TE and WELI. Moreover, higher levels of TE are associated to reduce with the gender disparities. The researchers suggest that encouraging women to participate in livestock production is a good idea; as a result, women's empowerment has a lot of potentials to boost livestock productivity. Hence, our findings provide important evidence showing the positive impact of technical efficiency on women’s empowerment and gender parity within the livestock farming household and may higher level associatively with SDGs.

scholarly journals Estimation of technical efficiency of Czech farms operating in less favoured areas

2019 ◽  
Vol 65 (No. 10) ◽  
pp. 445-453
Author(s):  
Tamara Rudinskaya ◽  
Tomas Hlavsa ◽  
Martin Hruska
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Agricultural Area ◽  
Farm Size ◽  
Identification System ◽  
Accounting Data ◽  
Frontier Analysis ◽  
The Impact

This paper deals with the technical efficiency analysis of farms in the Czech Republic. The empirical analysis provides an evaluation of technical efficiency with regard to the farm size, farm specialisation, and farm location. Accounting data of Czech farms from the Albertina database for the years 2011–2015 were used for the analysis. The data were classified by the utilised agricultural area and location of the farm expressed as a less favoured area type from the Land Parcel Identification System (LPIS) database. Research was conducted using the translogarithmic production function and Stochastic Frontier Analysis. The results indicate positive impact of farm size, expressed by utilised agricultural area, on technical efficiency. The analysis of the impact of farm specialisation on technical efficiency verified that farms specialised on animal production are more efficient. The lowest technical efficiency is shown by farms situated in mountainous Less Favoured Areas (LFAs), the highest technical efficiency by farms located in non-LFA regions.

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