Environmental Efficiency in Agricultural Sector

Author(s):  
Pariya Bagheri ◽  
Sahar Abedi ◽  
Farid Bagheri Sarajug
2021 ◽  
Vol 13 (12) ◽  
pp. 6680
Author(s):  
Jahira Debbarma ◽  
Hyoungsuk Lee ◽  
Yongrok Choi

In terms of economic development and feeding the world’s populations, the importance of the agricultural sector is well known. However, agriculture and its related sectors are also known for contributing more than one-quarter of the world’s GHG emissions. To address this issue, we evaluate the performance of agriculture and its related firms in India from 2013 to 2019 with its environmental efficiency under the paradigm shift promoted by the National Agroforestry Policy in 2014. To evaluate the feasibility of this paradigm shift in agricultural policy, the non-radial slack-based measure (SBM) is utilized in the first stage, and Tobit regressions are used to assess the determinants of efficiency (or sources of inefficiency) measures at the second stage. The results from non-radial SBM show that Indian agricultural firms (foreign direct investment, private, and public) show huge potential with 32.2% on average to enhance their performance if they move toward the frontier of the production possibility curve. This suggests that Indian policymakers should regulate much stronger regulations for firms, especially for the use of agricultural inputs such as energy (fertilizers), with performance-oriented financial measures for sustainable agriculture. To determine the strategic variables for these firms to enhance their performance, Tobit regressions showed that fertilizers use (−3.350%) appears to have the highest negative impact on environmental efficiency. On the other hand, credit access (2.710%) has the highest positive impact on environmental efficiency, implying that policymakers should provide subsidies to firms in the form of soft loans (or credit access) for the purchase of high-quality fertilizers and to adopt energy-saving equipment/technology to minimize the use of chemical fertilizers in India.


2019 ◽  
Vol 65 (No. 6) ◽  
pp. 249-258 ◽  
Author(s):  
Truc Linh Le ◽  
Pai-Po Lee ◽  
Ke Chung Peng ◽  
Rebecca H. Chung

This study assessed the change in productivity and environmental efficiency of agriculture for nine East Asian countries for the time period from 2002 to 2010. Data were collected and then analysed by data envelopment analysis (DEA) approaches, including Malmquist total factor productivity (TFP) index and slacks-based measure (SBM) with the consideration of undesirable outputs. The results showed that there existed relatively large differences in productivity growth and environmental performance in the agricultural sector between countries in the sample. Overall, the countries examined in the present study experienced a decline in TFP due to decreases in technical efficiency. Taiwan, Japan, and Korea were found to show growths in productivity and fully efficient environmental performances throughout the study period, while Thailand was identified as having the lowest environmental efficiency score. Therefore, agriculture production and operation models in Taiwan, Japan, and Korea could serve as good references for the other six countries.<br />


2016 ◽  
Vol 8 (11) ◽  
pp. 78
Author(s):  
Mariarosaria Agostino

<p>The impact of organic farming on greenhouse gas emissions is a much debated issue, which has been predominantly investigated by case studies. This paper seeks to provide empirical evidence at an aggregate level, considering a sample of OECD countries, in the period 1990-2010, and applying both parametric and non-parametric approaches. According to the results obtained, organic agriculture seems negatively associated to per capita emissions. However, it does not appear robustly associated with improvements in environmental efficiency in the agricultural sector. These findings, conditioned to some extent by the availability of unbalanced panel data, suggest the need for further research to assess the role that organic agriculture could play in mitigating climate change.</p>


2020 ◽  
Vol 21 (6) ◽  
Author(s):  
Truc-Linh Le ◽  
Thi-Thuy-Hai Luu ◽  
Nga Huynh ◽  
Rebecca H. Chung

Abstract. Le TL, Luu TTH, Huynh N, Chung RH. 2020. Environmental efficiency of rice production in Vietnam: An application of SBM-DEA with undesirable output. Biodiversitas 21: 2710-2715. In Vietnam, the agricultural sector is one of major sources of the country’s greenhouse gas (GHG) emissions and over half of that comes from rice cultivation. This study evaluates the environmental efficiency of 400 rice farms in the Mekong Delta using slack-based measure (SBM) data envelopment analysis (DEA) with considering the total amount of CO2-equivalent (CO2-eq) emissions in the rice field as undesirable output. The findings revealed that the average environmental efficiency score of the farmers was very low, just only 0.461. Only 2.25% of the sample farms were environmentally efficient while majority of them (58%) obtained the efficiency values less than the mean indicating that their environmental efficiency needs to be further improved. The small rice farms were higher in environmental efficiency scores compared with large farms. The sample rice farmers who are members of agricultural cooperatives obtained a significantly higher environmental efficiency than the non-cooperative members. The estimated results of input and bad output excesses showed that about 1.35 tons of CO2-eq ha-1 could be reduced and an average of 54.18 kg N ha-1 could be saved in order to improve the environmental performance of rice production in the study area.


2017 ◽  
Vol 1 (1) ◽  
Author(s):  
La Ode Jabuddin ◽  
Ayub M Padangaran ◽  
Azhar Bafadal Bafadal

This study aims to: (1) Knowing the dynamics of fiscal policy and the performance of the agricultural sector, (2) Analyze the factors that influence fiscal policy and the performance                   of the agricultural sector, and (3) Analyzing the impact of fiscal policy on the performance of the agricultural sector. The data used in this study were pooled 2005-2013 data in the aggregate. Econometric model the impact of fiscal policy on the performance of the agricultural sector is built in the form of simultaneous equations, consisting of 7 equations with 25 total variables in the model, 7 endogenous variables, 12 exogenous variables, and 6 variables lag. The model is estimated by 2SLS method SYSLIN procedures and historical simulation with SIMNLIN procedure.The results showed that: (1) The development of fiscal policy in Southeast Sulawesi from year to year tends to increase, (2) The performance of the agricultural sector from the aspect of GDP has decreased, from the aspect of labor is still consistent, in terms of investment to grow positively, and assign roles which means to decrease the number of poor people, (3) factors affecting fiscal policy is local revenues, equalization funds, other revenues, as well as the lag fiscal policy, (4) the factors that affect the performance of the agricultural sector from the aspect GDP is labor, direct expenditure and GDP lag; from the aspect of labor is the total labor force, investment, land area, direct expenditure, as well as the lag of labor; from the aspect of investment is influenced by GDP per capita, land area, interest rates and investment lag; as well as from the aspect of poor people, are affected by population, investments, direct expenditure and poverty lag, (5). Fiscal policy impact on the agricultural sector GDP increase, a decrease in the number of poor, declining agricultural laborers, and a decrease in the amount of investment in the agricultural sector.Keywords: Fiscal policy, the performance of the agricultural sector, the simultaneous equations


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