Topic Editors

Department of Agricultural Economics, Faculty of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

Novel Studies in Agricultural Economics and Sustainable Farm Management

Abstract submission deadline
closed (31 January 2024)
Manuscript submission deadline
closed (31 March 2024)
Viewed by
32751

Topic Information

Dear Colleagues,

Agricultural economics focuses on issues related to farm economics, farm management, agribusiness, informatics in agriculture, agricultural policy, rural development, social economy and rural sociology.

This Topic aims to provide relevant theoretical frameworks and the latest empirical research findings in the area of agricultural economics and sustainable farm management. We welcome novel studies on relevant themes, including either pure theoretical or applied research. We further aim to disseminate research on highly specialized agricultural economics and farm management issues through the integration of knowledge across disciplines and between science, policy and the public, presenting practical results within the agricultural economics science field.

Specifically, this Topic welcomes submissions on the following topics:

  • Agricultural economics;
  • Farm management;
  • Rural development;
  • Rural sociology;
  • Agricultural policy;
  • Marketing;
  • ICT in agriculture;
  • Agribusiness;
  • Agri-food systems: the circular economy;
  • Water resource management;
  • Precision agriculture.

Dr. Thomas Bournaris
Topic Editor

Keywords

  • agricultural economics
  • farm management
  • regional planning
  • rural development
  • sustainability
  • ICT in agriculture
  • marketing
  • agribusiness
  • rural sociology
  • precision agriculture
  • agricultural policy

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Agriculture
agriculture
3.6 3.6 2011 17.7 Days CHF 2600
Economies
economies
2.6 3.2 2013 21.4 Days CHF 1800
Sustainability
sustainability
3.9 5.8 2009 18.8 Days CHF 2400
Agronomy
agronomy
3.7 5.2 2011 15.8 Days CHF 2600

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Published Papers (23 papers)

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14 pages, 1374 KiB  
Article
Assessing Production and Marketing Efficiency of Organic Horticultural Commodities: A Stochastic Frontier Analysis
by Etty Puji Lestari, Sucihatiningsih Dian Wisika Prajanti, Fauzul Adzim, Faizul Mubarok and Arif Rahman Hakim
Economies 2024, 12(4), 90; https://doi.org/10.3390/economies12040090 - 12 Apr 2024
Viewed by 415
Abstract
Inefficiency is a problem in the production process, including in the organic farming sector. Over a long term period, this problem can disrupt the productivity of agricultural crops. This research aims to analyze the production and marketing efficiency of organic cabbage farming in [...] Read more.
Inefficiency is a problem in the production process, including in the organic farming sector. Over a long term period, this problem can disrupt the productivity of agricultural crops. This research aims to analyze the production and marketing efficiency of organic cabbage farming in the Kopeng agropolitan area, Indonesia. We utilized a Cobb–Douglas production efficiency analysis with the Stochastic Frontier Analysis (SFA) approach. The variables in this study include organic cabbage production, land area, seedlings, organic fertilizers, organic pesticides, and labor. We conducted in-depth interviews with 60 organic cabbage farmers in Kopeng, Indonesia, from January to August 2023. The research results showed that organic cabbage cultivation was economically inefficient in production, technical, and marketing. The use of organic fertilizers, the ability to diversify products on limited land, and the use of pesticides, have not been utilized optimally yet. The results of the marketing efficiency analysis showed that it was efficient. Organic plants were believed to have their market share and to have a higher selling value than non-organic ones. The implication was that the government needed to provide training in producing organic fertilizers and pesticides to reduce production costs so that organic farming could be technically and financially efficient. This research enriched the discussion regarding the need to analyze production and marketing efficiency to find strategies to increase organic cabbage productivity. Full article
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13 pages, 4919 KiB  
Article
Analysing the Cost of Concentrated Feed and Income from Meat in Relation to Relative Growth Rate and Kleiber’s Ratio in Intensive Fattening of Latvian Dark-Headed Lambs
by Ilva Trapina, Daina Kairisa and Natalia Paramonova
Agriculture 2024, 14(4), 593; https://doi.org/10.3390/agriculture14040593 - 08 Apr 2024
Viewed by 561
Abstract
One of the goals of the breeding program of the Latvian national sheep breed Latvian dark-head (LT; Latvijas tumšgalve) is the improvement of meat productivity, in parallel with good reproduction characteristics. The main part of the costs is the cost of feeding, which [...] Read more.
One of the goals of the breeding program of the Latvian national sheep breed Latvian dark-head (LT; Latvijas tumšgalve) is the improvement of meat productivity, in parallel with good reproduction characteristics. The main part of the costs is the cost of feeding, which can be reduced by raising sheep with high feed efficiency. This goal can be achieved by selecting sheep based on feed efficiency indicators. The fattening data of 100 LT lambs were analysed using the relative growth rate (RGR) and Kleiber’s ratio (KR) indicators. The statistical difference was determined between low- and high-efficiency groups by calculating the cost of concentrate feed and income from meat realisation. The difference in the cost of concentrate feed was found after 60-days of intensive fattening and on the day needed for fattening up to 50 kg of live weight of lambs. When calculating the income of lamb meat, the differences between low and high RGR and/or KR efficiency groups were established. Thus, selecting high-ranking RGR and KR sheep can improve the cost and/or income of LT sheep breeders in Latvia. Full article
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30 pages, 1103 KiB  
Article
The Economic Security of Households Affected by the COVID-19 Pandemic in Rural Java and Madura
by Ernoiz Antriyandarti, Umi Barokah, Wiwit Rahayu, Herdis Herdiansyah, Ihsannudin Ihsannudin and Fadhil Adi Nugraha
Sustainability 2024, 16(5), 2091; https://doi.org/10.3390/su16052091 - 02 Mar 2024
Viewed by 611
Abstract
Every facet of life, including health, social, and economic aspects, has undergone a tremendous transformation due to the COVID-19 pandemic. This condition is exacerbated by socioeconomic fragility and vulnerability amid economic uncertainty, with an enormous debt burden and inequality increasingly spreading to regions. [...] Read more.
Every facet of life, including health, social, and economic aspects, has undergone a tremendous transformation due to the COVID-19 pandemic. This condition is exacerbated by socioeconomic fragility and vulnerability amid economic uncertainty, with an enormous debt burden and inequality increasingly spreading to regions. Elements of society in Indonesia experience the problem of a lack of income and capital, in addition to vulnerability and helplessness. Social, economic, community–institutional, and resource vulnerabilities are inevitable; therefore, they must be identified, anticipated, and dealt with to avoid worsening. This research aims to identify the affected households and their economic resilience when facing the COVID-19 pandemic. A mixed approach with a sequential exploratory strategy was employed, whereby qualitative data were first collected and analyzed. Based on the findings of the first stage, quantitative data were obtained and examined in the second stage. This study was conducted in two rural locations with distinct characteristics: the Gunungkidul District on Java Island and the Bangkalan District on Madura Island. These findings demonstrate the economic resilience of households in Bangkalan and Gunungkidul. The factors that significantly influence economic resilience are household income, assets, and product availability in the market. Full article
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15 pages, 707 KiB  
Article
Floods, Poverty, and Happiness of Rural Farmers in Northern Benin
by Alice Bonou, Sameen Zafar and Suman Ammara
Economies 2024, 12(3), 52; https://doi.org/10.3390/economies12030052 - 21 Feb 2024
Viewed by 1137
Abstract
Floods destroy crop production; nevertheless, the extent of their impact on farmers’ livelihoods in developing countries has been poorly investigated. This paper contributes to the growing evidence-based assessment of the impacts of shocks on communities. It assessed the post-disaster livelihood of farmers affected [...] Read more.
Floods destroy crop production; nevertheless, the extent of their impact on farmers’ livelihoods in developing countries has been poorly investigated. This paper contributes to the growing evidence-based assessment of the impacts of shocks on communities. It assessed the post-disaster livelihood of farmers affected by the 2012 flooding in the semi-arid zone of Benin. To this end, a survey was conducted on 228 farmers in two municipalities of the flood-prone part of the semi-arid zone of Benin (Malanville, Karimama). Information on the well-being of households was collected using semi-structured interviews. Data were analyzed using income and consumption approaches focusing on poverty and on subjective assessment using happiness approach. Additionally, a probit model was used for a poverty assessment. The survey revealed that flooded farmers were amongst the poorest in the study system. Seven variables determined poverty in this study: household size, location, the percentage of the farm size that was flooded, fishing, the farmer’s gender, farm size, and “holding a secondary activity”. Regarding happiness, 99% of the flooded farmers were unhappier after the flood in 2012. The results clearly show that being subjected to floods increases the incidence of poverty. The capacity of flood risk management and governance should be strengthened in the study system. Full article
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20 pages, 13994 KiB  
Article
Agricultural Land Suitability Assessment at the County Scale in Taiyuan, China
by Juan Xu, Cuicui Jiao, Dalun Zheng and Luoxin Li
Agriculture 2024, 14(1), 16; https://doi.org/10.3390/agriculture14010016 - 22 Dec 2023
Viewed by 1126
Abstract
Conducting agricultural land suitability assessments (ALSA) scientifically is crucial for ensuring food security and fostering sustainable agricultural development. This study assessed the suitability of agricultural land in Taiyuan using a geographic information system (GIS) and the analytic hierarchy process (AHP), integrating factors such [...] Read more.
Conducting agricultural land suitability assessments (ALSA) scientifically is crucial for ensuring food security and fostering sustainable agricultural development. This study assessed the suitability of agricultural land in Taiyuan using a geographic information system (GIS) and the analytic hierarchy process (AHP), integrating factors such as topography, soil, water sources, and social conditions at a 1 km spatial resolution. The primary aim was to map the spatial distribution of agricultural land suitability and understand county-level variations. Given the irreversible impact of urban development on land use and the critical importance of ecological conservation, corresponding subtractions for urban and natural protected areas have been applied in this study during the assessment of agricultural land suitability. The findings revealed that Taiyuan’s agricultural land suitability generally falls within an intermediate range, without areas classified as completely unsuitable (lowest rank) or suitable (highest rank). The agricultural land suitability does not reach the extreme conditions of being “unsuitable” (lowest rank) nor “suitable” (highest rank), reflecting an overall intermediate potential for agricultural production across the entirety of Taiyuan. The spatial distribution indicates higher suitability in the east and lower in the west, with 33.1% of Taiyuan’s territorial area deemed relatively suitable, 61.3% moderately suitable, and only 5.6% generally suitable for agricultural production. Recommendations include focusing on high-economic-return crops in suitable areas, adopting drought-resistant varieties and enhancing agricultural infrastructure in moderately suitable areas, and prioritizing ecological conservation in generally suitable areas. Additionally, county-level strategies suggest differentiated agricultural models: agritourism and boutique agriculture in urban conflict areas like Qingxu and Wanbailin; cultivation of cold-resistant crops in ecologically fragile areas like Loufan; and sustainable agricultural practices like planting drought-resistant crops in water-scarce regions like Yangqu. This comprehensive assessment offers valuable insights for optimizing agricultural land allocation in Taiyuan, balancing economic development with ecological sustainability. Full article
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24 pages, 2546 KiB  
Article
Technological Advancements and the Changing Face of Crop Yield Stability in Asia
by Zsolt Hollósy, Muhammad Imam Ma’ruf and Zsuzsanna Bacsi
Economies 2023, 11(12), 297; https://doi.org/10.3390/economies11120297 - 11 Dec 2023
Viewed by 1616
Abstract
Recent technological advancements have revolutionized agriculture in Asia, leading to significant changes in crop yield stability. This study examines the changing face of crop yield stability in Asia resulting from the increasing adoption of innovative technologies in agriculture. Through a review of current [...] Read more.
Recent technological advancements have revolutionized agriculture in Asia, leading to significant changes in crop yield stability. This study examines the changing face of crop yield stability in Asia resulting from the increasing adoption of innovative technologies in agriculture. Through a review of current research and case studies, the impact of technology-driven changes on yield levels, variability, and predictability is explored. The study applies a yield stability index (YSI) to evaluate the yield stability of six crops in seven Asian countries during two periods (1961–1994 and 1995–2020), comparing the countries, crops, and stability changes between the two segments. The novelty of the research is the application of YSI, which, contrary to usual stability metrics, can distinguish between rare large extreme yields and frequent minor fluctuations, and based on this feature, evaluates the suitability of the prevailing technologies to local environmental conditions. The YSI is used to evaluate the stability of technologies, indicating whether the technologies can respond well to the annual variations of environmental conditions. Positive YSI values indicate stable technologies that can respond well to the annual variations of environmental conditions, and the concept of a well-technologized crop is used for crops in countries with stable positive YSI values, indicating the suitability of the actual crop to the actual geographical environment. These results can guide production technology developments and the introduction or abandonment of certain crops in certain geographical zones, especially regarding the implications of climate change and global warming. This study highlights the transformative power of technology in improving crop yield stability and food security in Asia, while discussing the potential challenges associated with these changes and the need for continued research to address them. Full article
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21 pages, 550 KiB  
Article
How Can the Digital Economy Promote the Integration of Rural Industries—Taking China as an Example
by Zepu Zhang, Chen Sun and Jing Wang
Agriculture 2023, 13(10), 2023; https://doi.org/10.3390/agriculture13102023 - 18 Oct 2023
Cited by 3 | Viewed by 2052
Abstract
The rapid development of China’s digital economy has promoted the digital transformation of Chinese society and become a new driving force for China’s social development. Furthermore, increasing farmers’ income is the central task of China’s “three rural issues” project, and the integrated development [...] Read more.
The rapid development of China’s digital economy has promoted the digital transformation of Chinese society and become a new driving force for China’s social development. Furthermore, increasing farmers’ income is the central task of China’s “three rural issues” project, and the integrated development of primary, secondary, and tertiary rural industries is an important way to revitalize rural industries and broaden farmers’ income channels, so it is very important to promote the integrated development of rural industries. In the context of the rapid development of China’s digital economy, it is of great significance to study how the digital economy promotes the integration of rural industries. Therefore, this study analyzed how China’s digital economy promotes the integration of rural industries by using the panel data and regression models of 30 provinces (municipalities and districts) in China from 2011 to 2021. The results show that (1) there is a significant positive relationship between the development level of the digital economy and the level of rural–industrial integration and that the development of the digital economy promotes the process of rural–industrial integration; (2) intermediary effect analysis shows that as the digital economy promotes rural–industrial integration, scientific and technological innovation levels and rural human capital are important intermediary channels; and (3) spatial analysis shows that the development of the digital economy can not only promote the integration of rural industries in the province but also have a positive spatial spillover effect on neighboring provinces. Therefore, it is necessary to create a good atmosphere for the development of the digital economy, constantly promote the development of the digital economy, pay attention to scientific and technological innovation and rural talent training, and promote the integration and coordinated development of the digital economy and rural industries between regions in order to improve the level of rural–industrial integration and contribute to the rural revitalization strategy. Full article
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19 pages, 2487 KiB  
Article
Optimization Model and Application for Agricultural Machinery Systems Based on Timeliness Losses of Multiple Operations
by Jian Sun, Yiming Zhang, Haitao Chen and Jinyou Qiao
Agriculture 2023, 13(10), 1969; https://doi.org/10.3390/agriculture13101969 - 09 Oct 2023
Viewed by 1128
Abstract
Present agricultural practices confront issues such as mismatches between tractors and implements, imprecise machinery allocation, and excessive machinery investment. Optimization of agricultural machinery systems was a potent remedy for these concerns. To address inaccuracies in calculating objective functions and the incompleteness of constraints [...] Read more.
Present agricultural practices confront issues such as mismatches between tractors and implements, imprecise machinery allocation, and excessive machinery investment. Optimization of agricultural machinery systems was a potent remedy for these concerns. To address inaccuracies in calculating objective functions and the incompleteness of constraints in existing models for agricultural machinery system optimization, a comprehensive mixed integer nonlinear programming (MINP) model for agricultural machinery system optimization was established. The model introduced timeliness loss costs for multiple key operations across various crops into the objective function, and constraints were enhanced by including operation sequence constraints and boundary constraints on initiation and completion dates of those key operations. Taking corn and soybeans as examples, timeliness loss functions of sowing and harvesting operations were derived through experiments. Solving the MINP model by Lingo (V.14.0) software, improvements in total power, workload per unit power, and total operational costs were shown when comparing the optimized machinery system through the MINP model against current systems. When the model omitted considerations for timeliness loss functions and operation sequence constraints, issues arose including an increase in total operational costs and an inversion of operation sequence. The model’s application in devising machinery allocation plans for production units of various operational scales revealed a gradual decrease in total power and costs per unit area with expanding scale, approaching stability when scale exceeded 1600 hm2. This study enriches theory and methodology for optimizing agricultural machinery systems, provides theoretical and technological underpinnings for rational machinery acquisition, and promotes the high-quality progression of comprehensive agricultural mechanization. Full article
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14 pages, 730 KiB  
Article
Factors Influencing Farmers’ Vertical Collaboration in the Agri-Chain Guided by Leading Enterprises: A Study of the Table Grape Industry in China
by Wen Li, Chenying Liu, Qizhi Yang, Yulan You, Zhihang Zhuo and Xiaolin Zuo
Agriculture 2023, 13(10), 1915; https://doi.org/10.3390/agriculture13101915 - 29 Sep 2023
Viewed by 927
Abstract
Leading agricultural enterprises attracting farmers to participate in vertical collaboration within the industry chain can expedite the process of agricultural industrialization and help achieve rural revitalization. This study focuses on table grape growers in the Yangtze River Delta region of China as the [...] Read more.
Leading agricultural enterprises attracting farmers to participate in vertical collaboration within the industry chain can expedite the process of agricultural industrialization and help achieve rural revitalization. This study focuses on table grape growers in the Yangtze River Delta region of China as the research subjects. Instead of examining the impact of specific elements individually on farmers’ involvement in vertical collaboration within the industry chain, this study emphasizes the combination of multiple factors influencing farmers’ engagement. Employing a fuzzy-set qualitative comparative analysis and adopting a configurational perspective, this research investigates how six factors—growers’ age, ratio of sales income to household income, production scale, market distance, financial support, and technical support—combine to influence farmers’ participation in vertical collaboration within the industry chain. This study reveals that leading enterprises can indeed promote farmers’ participation in vertical cooperation within the agricultural chain, and four pathways are identified. Based on these findings, three configurations are summarized: risk-averse, resource-constrained, and burden-alleviating. Specific strategies and recommendations for targeting each of these configurations are proposed based on the findings, along with policy suggestions for regulating the six factors, both by the enterprises themselves and by the government. Full article
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21 pages, 1229 KiB  
Article
Total-Factor Energy Efficiency and Its Driving Factors in China’s Agricultural Sector: An Empirical Analysis of the Regional Differences
by Jianxu Liu, Shutong Liu, Jiande Cui, Xuefei Kang, Qing Lin, Rossarin Osathanunkul and Changrui Dong
Agronomy 2023, 13(9), 2332; https://doi.org/10.3390/agronomy13092332 - 06 Sep 2023
Viewed by 974
Abstract
Improving agricultural energy efficiency is essential in reducing energy consumption and achieving agricultural sustainable development. This paper aims to measure the agricultural total-factor energy efficiency in China rather than the partial-factor energy efficiency while taking full account of regional heterogeneity and to investigate [...] Read more.
Improving agricultural energy efficiency is essential in reducing energy consumption and achieving agricultural sustainable development. This paper aims to measure the agricultural total-factor energy efficiency in China rather than the partial-factor energy efficiency while taking full account of regional heterogeneity and to investigate the driving factors of agricultural total-factor energy efficiency. The empirical results showed that the average value of agricultural total-factor energy efficiency is 0.814 in China, and the technological gap ratio is 0.853. The regional difference in agricultural total-factor energy efficiency was quite obvious. Higher agricultural energy inputs are associated with higher agricultural total-factor productivity. The total value of potential agricultural energy savings in 30 provinces of China reached 1704.41 billion tons of standard coal. In terms of the absolute amount of agricultural energy saving, the amount was largest in the low-energy-input area, which was 113.87 million tons of standard coal, accounting for 66.81% of the total potential saving amount. Furthermore, we used the Tobit model to analyze the influencing factors of agricultural total-factor energy efficiency. We found that the proportion of agriculture to GDP has a positive impact on agricultural total-factor energy efficiency, while the per capita income of farmers, fiscal support for agriculture, the illiteracy rate of farmers, agricultural labor input, and agricultural capital stock have a negative impact on agricultural total-factor energy efficiency. Finally, we proposed policy implications in terms of agricultural technological progress, agricultural infrastructure, technical training, etc. Full article
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22 pages, 1409 KiB  
Article
Economic Development and Pesticide Use in EU Agriculture: A Nonlinear Panel Data Autoregressive Distributed Lag Approach
by Eleni Zafeiriou, Christos Karelakis, Inmaculada Martínez-Zarzoso, Konstantinos Galanopoulos and Dimitra Gkika
Agriculture 2023, 13(9), 1693; https://doi.org/10.3390/agriculture13091693 - 28 Aug 2023
Cited by 3 | Viewed by 1330
Abstract
Within the regime established by the Directive on Sustainable Use of Pesticides (SUDP); the present work explores the relationship between pesticides’ agricultural use per hectare of cropland and the GDP per capita of the rural population for twenty-five EU countries to unveil the [...] Read more.
Within the regime established by the Directive on Sustainable Use of Pesticides (SUDP); the present work explores the relationship between pesticides’ agricultural use per hectare of cropland and the GDP per capita of the rural population for twenty-five EU countries to unveil the efficiency of the current EU strategy. With the econometric tool of panel nonlinear autoregressive distributed lag (NARDL) cointegration technique; we try to capture potential asymmetries in the agricultural use of pesticides concerning positive and negative variations in agricultural income. The findings validate the existence of a long-run relationship that supports an Environmental Kuznets Curve (EKC); i.e., an inverted U-shaped relationship between the variables; since increasing agricultural income is related to reductions in the use of pesticides after the turning point. Even though this result is not validated in the short run; our findings confirm the existence of a steady-state situation with asymmetric responses to pesticides. In terms of policy implications; more measures need to be taken; along with the education of farmers; aiming to enhance their consciousness towards environmental issues and; in consequence; for them to prefer environmentally friendly plant protection methods over chemical ones. Full article
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22 pages, 886 KiB  
Article
Promotion Effect of Agricultural Production Trusteeship on High-Quality Production of Grain—Evidence from the Perspective of Farm Households
by Xiaoyan Sun, Youchao Wang, Fengying Zhu, Xiaoyu Liu, Jianxu Liu and Songsak Sriboonchitta
Agronomy 2023, 13(8), 2024; https://doi.org/10.3390/agronomy13082024 - 30 Jul 2023
Viewed by 1089
Abstract
Based on the survey data of five large grain-producing provinces in China, we have studied the promotion effect of the agricultural production trusteeship on the high-quality production of grain by using a propensity score matching method. The empirical results show that the high-quality [...] Read more.
Based on the survey data of five large grain-producing provinces in China, we have studied the promotion effect of the agricultural production trusteeship on the high-quality production of grain by using a propensity score matching method. The empirical results show that the high-quality production of the grain level increases by 0.292, with an increase of 87.4% after farm households participate in agricultural production trusteeship. The level of high efficiency, premiumization, greenization, and branding of grain production increased by 0.234, 0.373, 0.208, and 0.158, respectively. However, there are differences in the facilitation effects of different trusteeship services, with the best promotion effect of agricultural material supply services, followed by post-harvest services, and then land management services and cultivating and harvesting services. The average treatment effect on the treated (ATT) is 0.287, 0.230, 0.158, and 0.139, respectively. Meanwhile, there are differences in the promotion effects for farm households with different factor endowments. The promotion effect is better for small farm households with three laborers or less, a land management scale of 10 mus or less, and one type of agricultural machinery or less. Therefore, in order to give full play to the promotion effect of agricultural production trusteeship on high-quality production of grain, the government should vigorously support its development and guide more smallholders to choose agricultural production trusteeship. Full article
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18 pages, 826 KiB  
Article
Effect of Agricultural Production Trusteeship on Agricultural Carbon Emission Reduction
by Xiaoyan Sun, Shuya Guang, Jingjing Cao, Fengying Zhu, Jianxu Liu and Songsak Sriboonchitta
Agriculture 2023, 13(7), 1457; https://doi.org/10.3390/agriculture13071457 - 24 Jul 2023
Viewed by 1068
Abstract
Based on the survey data of five large grain-producing provinces in China, this paper studies the effect of agricultural production trusteeship on agricultural carbon emission reduction by using a propensity score matching method. The empirical results show that the carbon emission of wheat [...] Read more.
Based on the survey data of five large grain-producing provinces in China, this paper studies the effect of agricultural production trusteeship on agricultural carbon emission reduction by using a propensity score matching method. The empirical results show that the carbon emission of wheat reduces by 7.107 kg/mu, with a decrease rate of 15.5% after participating in agricultural production trusteeship. Among them, chemical fertilizers, manpower input, agricultural chemicals and diesel oil, respectively, reduce with rates of 14.2%, 27.7%, 14.1%, and 6%. However, there are differences in the facilitation effects of different trusteeship services, with the best promotion effect of field management services, followed by cultivation, planting and harvest services, and then agricultural material supply services, for which the average treatment effects on treated (ATT) is −6.160, −5.732 and −5.530, respectively. Meanwhile, there are differences in the promotion effects for farm households with different factor endowments. The promotion effect is better for small farm households with one type of agricultural machinery or less, and an operation scale of 7 mu or less. Therefore, in order to better play the role of agricultural production trusteeship in agricultural carbon emission reduction, the government should vigorously support its development and guide more smallholders to choose agricultural production trusteeship. Full article
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14 pages, 910 KiB  
Article
Determination of Energy Consumption and Technical Efficiency of Cotton Farms in Türkiye
by Yeşim Aytop
Sustainability 2023, 15(14), 11194; https://doi.org/10.3390/su151411194 - 18 Jul 2023
Viewed by 1443
Abstract
This study aimed to examine the efficiency of cotton farms and the energy requirements of the input and output of cotton in Türkiye. Data were collected from 657 cotton farms, and the results showed that the energy input of machinery (28.69%) had the [...] Read more.
This study aimed to examine the efficiency of cotton farms and the energy requirements of the input and output of cotton in Türkiye. Data were collected from 657 cotton farms, and the results showed that the energy input of machinery (28.69%) had the most significant share in the total energy input, followed by electricity (22.79%) and nitrogen (20.75%). The total energy consumption of cotton was 83,869.49 MJ ha−1. In cotton production, the energy use efficiency, energy productivity, specific energy, and net energy were measured to be 0.87, 0.07, 17.31, and −23,043.92 MJ per hectare. Cotton plants consumed more indirect energy (51.99%) than direct energy (48.01%) and more non-renewable energy (89.96%) than renewable energy (10.04%). According to the data envelopment analysis results, the average technical efficiency of cotton farms was 0.84. Inefficient farms can reduce their inputs by approximately 16% without reducing the amount of cotton production. Allocative efficiency, pure technical efficiency, and scale efficiency of cotton farms were determined at 0.570, 0.539, and 0.640, respectively. Human labour, machinery, diesel, nitrogen, and phosphate energy use should be reduced for inefficient farms to become more efficient. Full article
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28 pages, 1040 KiB  
Essay
Can Joining the Agricultural Industry Chain Alleviate the Problem of Credit Rationing for Farmers?
by Nan Zhao and Dehong Lv
Agriculture 2023, 13(7), 1382; https://doi.org/10.3390/agriculture13071382 - 12 Jul 2023
Cited by 1 | Viewed by 1047
Abstract
To solve the problem of credit rationing for farmers that shackles the transformation and upgrading of the agricultural industry and to improve the effect of agricultural industry chains in helping farmers, this paper empirically examines the effect of joining agricultural industry chains on [...] Read more.
To solve the problem of credit rationing for farmers that shackles the transformation and upgrading of the agricultural industry and to improve the effect of agricultural industry chains in helping farmers, this paper empirically examines the effect of joining agricultural industry chains on supply-based and demand-based credit rationing for farmers, using the probit and tobit models based on the microscopic research data of 991 farmers in Shaanxi Province, China, and explores its specific effect mechanism. The study finds that agricultural industry chains can increase farmers’ credit by reducing the information asymmetry between farmers and banks, reducing agricultural business risks, and forming effective collateral and guarantee mechanisms, and that they have significant mitigating effects on farmers’ supply-based quantity rationing and demand-based price rationing, risk rationing and transaction cost rationing. Credit enhancement mechanisms such as information systems, commercial credit, orders, guarantees, production services and government support in agricultural industry chains have significant effects on alleviating farmers’ credit rationing, while insurance has limited effects on alleviating farmers’ credit rationing. There are differences in the effects of agricultural industry chains on alleviating various types of credit rationing of heterogeneous farmers in terms of scale, and the effects of joining agricultural industry chains on alleviating supply-based and demand-based credit rationing of large-scale farmers are more obvious than those of small farmers. Compared with the existing studies, this paper incorporates the credit rationing produced from farmers’ own reasons into the analysis framework, and introduces credit-enhancing variables of agricultural industry chains to test their specific mechanisms on farmers’ credit rationing. The findings of this study can provide a theoretical basis for promoting the innovation of financial models of agricultural industry chains, which is of great practical significance for improving the system of agricultural industry chains in developing countries, strengthening the role of industrial chains in absorbing small farmers, and promoting the modernization of agricultural industries with financial assistance. Full article
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19 pages, 3156 KiB  
Article
Does Precision Technologies Adoption Contribute to the Economic and Agri-Environmental Sustainability of Mediterranean Wheat Production? An Italian Case Study
by Adele Finco, Deborah Bentivoglio, Matteo Belletti, Giulia Chiaraluce, Marco Fiorentini, Luigi Ledda and Roberto Orsini
Agronomy 2023, 13(7), 1818; https://doi.org/10.3390/agronomy13071818 - 08 Jul 2023
Viewed by 1996
Abstract
The European Green Deal has set a concrete strategic plan to increase farm sustainability. At the same time, the current global challenges, due to climate change and fuels and commodity market crises, combined with the COVID-19 pandemic and the ongoing war in Ukraine, [...] Read more.
The European Green Deal has set a concrete strategic plan to increase farm sustainability. At the same time, the current global challenges, due to climate change and fuels and commodity market crises, combined with the COVID-19 pandemic and the ongoing war in Ukraine, affect the need for quality food and necessitate the reduction of negative external effects of agricultural production, with fair remuneration for the farmers. In response, precision agriculture has great potential to contribute to sustainable development. Precision agriculture is a farming management system that provides a holistic approach to managing the spatial and temporal crop and soil variability within a field to improve the farm’s performance and sustainability. However, farmers are still hesitant to adopt it. On these premises, the study aims to evaluate the impacts of precision agriculture technologies on farm economic, agronomic, and environmental management by farmers adopting (or not) these technologies, using the case study method. In detail, the work focuses on the period 2014–2022 for two farms that cultivate durum wheat in central Italy. The results suggest that the implementation of precision technologies can guarantee economic and agri-environmental efficiency. The results could serve as a basis for developing a program to start training in farms as well as to suggest policy strategies. Full article
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19 pages, 1209 KiB  
Article
Temporal and Spatial Evolution of Rice Productivity and Its Influencing Factors in China
by Xiao Wang, Jiaojiao Li, Jia Li, Yu Chen, Jinming Shi, Jianxu Liu and Songsak Sriboonchitta
Agronomy 2023, 13(4), 1075; https://doi.org/10.3390/agronomy13041075 - 07 Apr 2023
Cited by 2 | Viewed by 1310
Abstract
Ensuring sustainable levels of rice yield has become a significant concern in recent years. To improve yields in rice production, it is essential to increase factor inputs and productivity. However, current research primarily focuses on general grain productivity, rather than rice. In this [...] Read more.
Ensuring sustainable levels of rice yield has become a significant concern in recent years. To improve yields in rice production, it is essential to increase factor inputs and productivity. However, current research primarily focuses on general grain productivity, rather than rice. In this study, utilize the DEA-Malmquist index to present a comprehensive temporal and spatial analysis of rice productivity and its determinants in China. Our findings reveal that the overall efficiency of rice production in China exhibits a fluctuating upward trend, with technological progress being the primary driver of improvement in production efficiency. Moreover, rice production efficiency demonstrates a distribution pattern that decreases from east to west, with resource endowment, production conditions, socioeconomic development levels, and the political system being crucial factors influencing efficiency. This study proposes novel ideas for structural adjustments and regional divisions within China’s rice industry and provides a theoretical foundation for governments to develop evidence-based policies. Full article
(This article belongs to the Topic Novel Studies in Agricultural Economics and Sustainable Farm Management)
(This article belongs to the Section Farming Sustainability)
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16 pages, 2967 KiB  
Article
Trade-Offs and Synergies between Ecosystem Services Provided by Different Rural Landscape
by Fabio Bartolini and Daniele Vergamini
Agronomy 2023, 13(4), 977; https://doi.org/10.3390/agronomy13040977 - 25 Mar 2023
Viewed by 1853
Abstract
Ecosystems in rural areas play a crucial role in promoting human well-being and economic development by providing essential resources such as food, water, raw materials, and energy. Furthermore, rural ecosystems offer various services, such as recreational opportunities, climate regulation, biodiversity conservation, and environmental [...] Read more.
Ecosystems in rural areas play a crucial role in promoting human well-being and economic development by providing essential resources such as food, water, raw materials, and energy. Furthermore, rural ecosystems offer various services, such as recreational opportunities, climate regulation, biodiversity conservation, and environmental mitigation. However, a narrow focus on provisioning services has led to the standardisation of landscapes, decreased levels of biodiversity and reduced ecosystem services in several areas. Moreover, diverse rural landscapes can enrich the provisioning, regulating, cultural, and supporting services. While much research has explored the relationship between land use, landscape, and ecosystem services, there is still a need to better understand the trade-offs and synergies between these factors in providing ecosystem services. To address this gap, we conducted an empirical analysis of the perception of ecosystem services provided by different rural landscapes in the Tuscany region. Specifically, we used the concept of morphotypes, which describes ‘invariants’ that distinguish six different rural landscape typologies in the region. We surveyed 28 experts to identify rural landscape contributions to 17 ecosystem services. Our results provide empirical evidence and insight into the mechanisms necessary to align the provision of ecosystem services by rural landscapes with current and future needs. Full article
(This article belongs to the Topic Novel Studies in Agricultural Economics and Sustainable Farm Management)
(This article belongs to the Section Farming Sustainability)
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23 pages, 2839 KiB  
Article
National Modern Agricultural Industrial Parks: Development Characteristics, Regional Differences, and Experience Inspiration—Case Study of 200 NMAIPs in China
by Lisi Ling, Xueyuan Chen, Yongchang Wu, Shanwei Li, Jiajia Wei and Qun Zhou
Agronomy 2023, 13(3), 653; https://doi.org/10.3390/agronomy13030653 - 24 Feb 2023
Cited by 1 | Viewed by 2506
Abstract
Agricultural industries are the foundation of the modernization of agricultural and rural areas in China. National Modern Agricultural Industrial Parks (NMAIPs) provides a considerable nationwide platform for agricultural industries. We take 200 NMAIPs in China as objects. Through spatial analysis, the Herfindahl–Hirschman index, [...] Read more.
Agricultural industries are the foundation of the modernization of agricultural and rural areas in China. National Modern Agricultural Industrial Parks (NMAIPs) provides a considerable nationwide platform for agricultural industries. We take 200 NMAIPs in China as objects. Through spatial analysis, the Herfindahl–Hirschman index, and the SBM-DEA model, we analyzed the development characteristics and regional differences of NMAIPs from the muti-level perspective of national planning, provincial coordination, and county implementation to propose policy recommendations aimed at sustainable and high-quality development. The results are as follows: (1) Regarding geospatial characteristics, NMAIPs are unevenly distributed, with a decreasing gradient from east to west. The direction is east (northward) to west (southward), consistent with the direction of the Hu line. The distribution density shows that the east is dense and the west is sparse. (2) For industrial concentration, the leading industries in NMAIPs tend to be homogenous. The HHI indicates that the homogenization of leading industries is widely represented in each province. The low oligopolistic areas are in the central and eastern regions of China, while the highly oligopolistic locations are in the western and northeastern provinces. (3) In inputs–outputs efficiency, the comprehensive technical efficiency is high but not optimal, while the distribution of values is high in the south and low in the north. Ten provinces are non-effective. According to inputs and outputs, the ineffective contribution of population of townships covered, occupied area and the capital from the collective economy are development barriers, and the high output value of NMAIPs cannot fully drive the employment and income of farmers. Further improvements are needed in terms of both pure technical efficiency and scale efficiency, and adjustments to scale operations should be in response to different returns to scale. Our research results provide policy recommendations for NMAIPs, including the establishment of a multi-level management mechanism, balancing regional development, diversifying and coordinating regional leading industries, and improving the efficiency of utilization factors. Full article
(This article belongs to the Topic Novel Studies in Agricultural Economics and Sustainable Farm Management)
(This article belongs to the Section Farming Sustainability)
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20 pages, 701 KiB  
Review
Can the Adoption of ICT and Advisory Services Be Considered as a Tool of Competitive Advantage in Agricultural Holdings? A Literature Review
by Georgios Kountios, Christos Konstantinidis and Ioannis Antoniadis
Agronomy 2023, 13(2), 530; https://doi.org/10.3390/agronomy13020530 - 12 Feb 2023
Cited by 8 | Viewed by 2746
Abstract
Knowledge of better farming methods has been a crucial step upon which agriculture has grown over time. Knowledge, on the other hand, is a currency transferred from one person to another with the vision to improve the quality of life of the other [...] Read more.
Knowledge of better farming methods has been a crucial step upon which agriculture has grown over time. Knowledge, on the other hand, is a currency transferred from one person to another with the vision to improve the quality of life of the other person. Agricultural knowledge has been transferred from one generation to the next based on the experience of one society and whatever knowledge they have developed in their existence. This shows that possession of a better and deeper understanding of agricultural processes and strategies is vital in developing the agricultural sector within a particular society. Therefore, better ways of acquiring agricultural knowledge together with improved methods of transmission of the same knowledge is primary in the advancement of agriculture within a group of people. In the last years, farming and agriculture have made significant strides in utilizing Information and Communication Technology (ICT), particularly in the realm of growers’ reach to market-based knowledge. Information and communication technology is being incorporated in several interventions that aim to properly educate producers about agriculture. In this context, ICT also helps them hold a competitive advantage in the process. This article addresses numerous cutting-edge initiatives that use Information and communication technology’s purpose of providing agricultural knowledge to farmers. Its assessment focuses primarily on answering the question of the intensity of change brought about by ICT and advisory services in agriculture. This focus enables this review to give a clear and conclusive view of how the two factors are creating a competitive advantage amongst different farmer groups and localities. Full article
(This article belongs to the Topic Novel Studies in Agricultural Economics and Sustainable Farm Management)
(This article belongs to the Section Farming Sustainability)
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18 pages, 331 KiB  
Article
Greek Agricultural Processing Industries: Relationships between Critical Success Factors and Enterprise Resource Planning implementation
by Asimina Kouriati, Christina Moulogianni, Thomas Bournaris, Eleni Dimitriadou and Stefanos A. Nastis
Agronomy 2023, 13(2), 423; https://doi.org/10.3390/agronomy13020423 - 31 Jan 2023
Viewed by 1288
Abstract
This study aims to identify the relationships between critical factors and successful Enterprise Resource Planning implementation in the agricultural processing companies of Central Macedonia’s (Greece) region. Therefore, critical factors are taken into account collectively, as aspects of ERP implementation and its life cycle. [...] Read more.
This study aims to identify the relationships between critical factors and successful Enterprise Resource Planning implementation in the agricultural processing companies of Central Macedonia’s (Greece) region. Therefore, critical factors are taken into account collectively, as aspects of ERP implementation and its life cycle. Based on that, two versions of the particular information system’s management were presented, aiming to its success in the Greek agricultural processing field. The methodology which was used in order for the purposes of this analysis to be served, was that of Partial Least Squares Structural Equation Modeling. Through the answers given, it was determined whether the importance shown to the two different versions of critical factors is related to the degree of ERP systems’ success—or not—and in which way. Based on that, two management versions of ERP system are provided but also the scientific literature regarding the Greek and Central Macedonian field, is enriched. Lastly, helpful guidelines are developed in order for professionals and managers to understand the ways in which critical factors can be taken into account so as for the successful implementation of ERP in agribusinesses -specialized in the field of agricultural products processing- to be feasible. Full article
(This article belongs to the Topic Novel Studies in Agricultural Economics and Sustainable Farm Management)
(This article belongs to the Section Farming Sustainability)
22 pages, 829 KiB  
Article
Fuzzy-Set Qualitative Comparative Analysis of Factors That Influence Skilled Talents Scarcity in Agricultural Industry: Case Study of 14 Cities in Hunan Province
by Juan Yang, Yadong Zhang and Lingming Chen
Agronomy 2022, 12(12), 3155; https://doi.org/10.3390/agronomy12123155 - 12 Dec 2022
Cited by 3 | Viewed by 1358
Abstract
As skilled talent is the core element in optimizing the industrial structure, clarifying the factors that influence the lack of skilled talent in the agricultural industry is essential. The lack of skilled talent in the agricultural industry is a complex problem. The author [...] Read more.
As skilled talent is the core element in optimizing the industrial structure, clarifying the factors that influence the lack of skilled talent in the agricultural industry is essential. The lack of skilled talent in the agricultural industry is a complex problem. The author based this study on the push–pull theory and used the fuzzy-set qualitative comparative analysis (FSQCA) research method to explore the “joint effect” of the factors that affect the lack of skilled talents in the agricultural industry in 14 cities of Hunan Province. This paper found that indicators such as the rural industry status, rural medical level, agricultural and forestry financial investment, urbanization construction, regional economic development level, and local government officials were all presented under sufficient conditions. These influencing factors have a “combined effect” on the agricultural industry’s lack of skilled talent. The rural industry status indicator was the core condition, appearing in all the configurations. This article’s main marginal contribution is that it defined three conditional configurations for the lack of “present” agricultural skilled talents, and dependent configurations are consistent. Among the three conditional configurations, the “rural industry + economic construction and financial investment” configuration is the most powerful way to retain skilled agricultural talents. In addition, the causal relationship between the lack of “present” agricultural industry skilled talents and the lack of “absent” agricultural industry skilled talents are asymmetric. The primary task is to develop rural industries to solve the problem of the shortage of skilled talent in the agricultural industry. Additionally, then implement the ‘industry+‘ combination policy. So the government must create related policies in the following areas: the supply of essential public services in rural areas, the economic construction of prefectures, the development of county urbanization, and the financial investment in agriculture, forestry, and water conservancy. Full article
(This article belongs to the Topic Novel Studies in Agricultural Economics and Sustainable Farm Management)
(This article belongs to the Section Farming Sustainability)
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14 pages, 663 KiB  
Article
Spatial–Temporal Evolution Characteristics of Agricultural Economic Resilience: Evidence from Jiangxi Province, China
by Yongmei Ye, Ping Zou, Weihang Zhang, Xieqihua Liu, Bin Liu and Xiaolan Kang
Agronomy 2022, 12(12), 3144; https://doi.org/10.3390/agronomy12123144 - 11 Dec 2022
Cited by 2 | Viewed by 1436
Abstract
To promote the resilient and coordinated development of regional economies, in this study, to construct an index system, we used the entropy weight method to measure the agricultural economic resilience of 11 prefecture-level cities in Jiangxi province, China during 2011–2020, and we analyzed [...] Read more.
To promote the resilient and coordinated development of regional economies, in this study, to construct an index system, we used the entropy weight method to measure the agricultural economic resilience of 11 prefecture-level cities in Jiangxi province, China during 2011–2020, and we analyzed the characteristics of their spatial-temporal pattern evolution. We used the Theil index method to analyze the main sources of their spatial differences. The results showed that: First, the mean value of agricultural economic resilience of prefecture-level cities in Jiangxi trended upward during 2011–2020. Among the prefecture-level cities, Ganzhou had the highest mean agricultural economic resilience value, while Yingtan had the lowest. From the perspective of regional division, the agricultural economy in southern Jiangxi was the most resilient, whereas that in northeast Jiangxi was the least. Second, since 2011, the overall difference in agricultural economic resilience in the four regions of Jiangxi has trended downward, with the inter-regional difference being the main source of the overall difference. Based on this, we provide the following policy implications: first, to continuously enhance the intrinsic dynamics of the agricultural economic resilience and strengthen policy support in Jiangxi; second, to coordinate the development of regional agricultural economic resilience and achieve overall improvement. Full article
(This article belongs to the Topic Novel Studies in Agricultural Economics and Sustainable Farm Management)
(This article belongs to the Section Farming Sustainability)
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