Analysis on Efficiency and Influencing Factors of New Soybean Producing Farms

Wang, Yanqi; Shi, Xiuyi

doi:10.3390/agronomy10040568

Cited by 5 publications

(5 citation statements)

References 20 publications

(20 reference statements)

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“…There are no farmers in the seriously lowefficiency category (TE<0.4), while there are only 7.50% farmers in the Efficiency category (0.99 ≤ TE). These results are in line with research by [25], which showed that the most soybean farmers in Heilongjiang Province, Jilin Province, Liaoning Province, and Inner Mongolia Autonomous Region were in the moderately low-efficiency and slightly low-efficiency categories. The technical efficiency of the Biosoy variety is in the slightly low efficiency and efficiency categories, and this shows that the level of technical efficiency is higher than the Anjasmoro variety.…”

Section: Technical Efficiency Of Early-maturity Soybean Varietiessupporting

confidence: 91%

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Advantages of early-maturity soybean varieties as a farmer adaptation effort to climate change in Grobogan Regency

Chanifah,

Sahara,

Susila

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The climate change impact is cropping patterns change, including unpredictable droughts and floods. These conditions require soybean farmers to adapt, one of them is adopting early maturing soybean varieties. This research aims to identify the advantages of early-maturity soybean varieties, financial feasibility, and technical Efficiency. This study collected data from 40 soybean farmers in the Grobogan Regency. Soybean farming data used in planting season III (May-August) 2021. Biosoy varieties are early maturing, compared to the Anjasmoro varieties as existing soybeans. The financial feasibility of early-maturing soybeans is analyzed by the Marginal Benefit Cost Ratio (MBCR), while technical Efficiency is by stochastic frontier. The research showed that a) advantages of Biosoy early-maturing soybeans include higher production, larger seeds, and reduced risk of crop failure due to drought; b) Biosoy varieties are feasible to develop with an MBCR level of 3.19, and c) an average technical efficiency is 0.92. Biosoy varieties demonstrated better advantages than Anjasmoro varieties. The government, as a policy maker, is expected to be able to encourage farmers to adopt Biosoy varieties and optimize production inputs to make them more efficient so that farmers can adapt to climate change adaption.

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Section: Technical Efficiency Of Early-maturity Soybean Varietiessupporting

confidence: 91%

“…If TEi approaches 1, farming becomes increasingly efficient. If TEi approaches 0, it indicates decreasing technical Efficiency.Technical efficiency levels are categorized into four classes: seriously low Efficiency (TE < 0.4), moderately low Efficiency (0.4 ≤ TE < 0.7), slightly low Efficiency (0.7 ≤ TE < 0.99), and Efficiency (0.99 ≤ TE)[25].…”

mentioning

confidence: 99%

Advantages of early-maturity soybean varieties as a farmer adaptation effort to climate change in Grobogan Regency

Chanifah,

Sahara,

Susila

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Extensive research has been conducted on the total factor productivity and the impact of inputs on output [30][31][32][33][34]. The total factor productivity of dairy farming has been measured recently [35,36].…”

Section: Introductionmentioning

confidence: 99%

Impact of Environmental Regulation on the Green Total Factor Productivity of Dairy Farming: Evidence from China

Liu

Cui

2022

Sustainability

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Environmental regulation is essential to promote green and sustainable development in dairy farming. Nevertheless, limited studies have focused on the impact of environmental regulation on the green total factor productivity (GTFP) of dairy farming. This study measures the GTFP of dairy farming in 27 provinces in China during 2009–2020 using the Slack Based Measure (SBM) model and the Malmquist–Luenberger (ML) productivity index. In addition, random effects and threshold regression models are used to measure the impact of environmental regulations on the GTFP of dairy farming. The results demonstrate the fluctuating growth of the GTFP of dairy farming and that technical efficiency is the primary driver of the GTFP growth. The annual growth rate of GTFP is the highest in large-scale dairy farming (3.27%), followed by medium-scale dairy farming (2.73%) and small-scale dairy farming (1.98%). Furthermore, environmental regulation positively affects the GTFP and has a threshold effect on the GTFP, with the urban–rural income gap as the threshold variable in medium-scale dairy farming and small-scale dairy farming. The impact on the GTFP can be significantly negative if the urban–rural income gap crosses the threshold value. Overall, this study provides some policy recommendations for attaining green and sustainable dairy farming development in China.

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“…Based on the characteristics of agricultural development and the current production situation, in order to prevent errors in omitted variables, this paper selects the following five control variables. Education level (Edu): the increase in the education level of farmers is conducive to the optimal allocation of agricultural production resources and technical efficiency 46 . At the same time, agricultural production relies more on the improvement of labor quality and technological progress, thus driving agricultural green production and changing the crude production method to improve the AGTFP.…”

Section: Variable Selection and Data Resourcementioning

confidence: 99%

“…Education level (Edu): the increase in the education level of farmers is conducive to the optimal allocation of agricultural production resources and technical efficiency 46 . At the same time, agricultural production relies more on the improvement of labor quality and technological progress, thus driving agricultural green production and changing the crude production method to improve the AGTFP.…”

Section: Variable Selection and Data Resourcementioning

confidence: 99%

The inhibitory effect of agricultural fiscal expenditure on agricultural green total factor productivity

Wang

Zhu

Wang

et al. 2022

Sci Rep

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Sustainable development of agriculture is the basis for achieving social sustainable development. As the basic industry of national economy, green development of agriculture has become an important support for building an environment-friendly society. Agricultural fiscal expenditure is a direct channel for the government to support agriculture and promote agricultural transformation. It is important to analyze the impact of agricultural fiscal expenditure (AFE) on agricultural green total factor productivity (AGTFP) for sustainable agricultural development. Therefore, this paper employs the random effect model and spatial Durbin model to empirically analyze the direct effect and spatial spillover effect of AFE on AGTFP by using the agricultural panel data of 30 provinces in China from 2008 to 2020. Then, by taking the policy proposal as the time node, this paper also conducts a time heterogeneity analysis to measure the impact of policy enactment on AFE and AGTFP. The main conclusions are as follows: (1) AGTFP exists significant positive spatial spillover effect. The "radiation effect" of agricultural green development is significant. (2) AFE can significantly reduce the AGTFP in the local area, that is, 1% increase of AFE in the local area will reduce AGTFP by 0.037%. At present, agriculture is still yield-oriented. The improvement of AFE in the local area will lead to the expansion of local agricultural production and increase pollution emission. (3) AFE has a significant negative spatial spillover effect on AGTFP, that is, for every 1% increase in AFE, the AGTFP will decrease 0.123% in geographically similar areas, while the AGTFP will decrease by 0.116% in economically and geographically similar areas. It is obvious that AFE will promote the optimization of agricultural production conditions in the province, with the "demonstration effect" on the surrounding areas, the enthusiasm of production in the surrounding areas will increase, thus expanding the pollution emission. (4) According to the analysis of different periods, AFE has a negative impact on AGTFP mainly before the reform innovation is proposed in 2015. It indicates that reform policies have a significant impact on agricultural sustainability.

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Analysis on Efficiency and Influencing Factors of New Soybean Producing Farms

Cited by 5 publications

References 20 publications

Advantages of early-maturity soybean varieties as a farmer adaptation effort to climate change in Grobogan Regency

Advantages of early-maturity soybean varieties as a farmer adaptation effort to climate change in Grobogan Regency

Impact of Environmental Regulation on the Green Total Factor Productivity of Dairy Farming: Evidence from China

The inhibitory effect of agricultural fiscal expenditure on agricultural green total factor productivity

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