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In the context of carbon peaking and neutrality, effectively controlling agricultural carbon emissions has gained academic attention. As an essential form of agricultural service scale management, this study investigates whether and how trusteeship affects the carbon emission behavior in planting production.

The authors established a theoretical framework to analyze the impact of agricultural production trusteeship on carbon emissions from planting. China's provincial panel data in the 2012–2021 period were selected to test the impact, mechanisms and heterogeneity of agricultural production trusteeship on carbon emissions from planting using the bidirectional fixed effect model and the panel correction standard error regression model.

The findings indicate that agricultural production trusteeship significantly inhibits carbon emissions from planting, especially in the dimensions of fertilizer input, pesticide application, agricultural film use and mechanical fuel. Agricultural production trusteeship primarily affects the intensity of these carbon emissions through contiguous farmland management and planting structure adjustment. Further examinations revealed that the influence of agricultural production trusteeship on carbon emissions from planting was heterogeneous with respect to geographical location, proportion of non-farming income and scale of agricultural production.

This study is the first to systematically evaluate the impact of agricultural production trusteeship on carbon emissions from planting.

The purpose of this study is to simulate the climate change impacts on winter wheat production and evaluate the possibilities of using various varieties and shifting planting date as two climate change adaptation strategies in Kerman Province, Iran.

Two types of global circulation model and three scenarios for three periods were used. Daily climatic parameters were generated by LARS-WG (Long Ashton Research Station-Weather Generator). The CERES-wheat model was used to simulate future winter wheat growth, development and production.

The results showed that CO₂ had no effect on the phenology of winter wheat, and the negative impact of temperature on the grain yield was higher than the positive effect of CO₂ enrichment. The length of the reproductive growth period of the winter wheat was significantly shortened as affected by the negative impacts of rise in temperature. The simulated results indicated that the grain yield of common (medium maturing) variety of winter wheat will decline, ranging from −0.27 to −18.71 per cent according to future climate changes. Adaptation strategies showed that the early maturing variety had a higher and more stable grain yield under climate change conditions than medium and delayed maturing varieties. Earlier planting date (20 October) increased wheat grain yield under future climatic conditions than common (November 5) planting date. In reverse, later planting (November 20) would accelerate harmful effects of climate change on wheat grain yield.

The results highlighted the potential of early maturing variety and early planting date as the appropriate agronomical approaches for mitigating harmful impacts of climate change on winter wheat production in arid regions.

This study analyzes the factors which affect the alfalfa cultivation acreage in China and estimates the development of alfalfa planting by the supply model.

Based on the characteristics and actual conditions of alfalfa cultivation in China, a naïve empirical model was created to analyze the impact of various influencing factors on the cultivation acreage of alfalfa.

The analysis of influential factors shows that China's alfalfa planting conforms to naïve price behavior. The prices of alfalfa and per capita arable land occupancy have a positive effect on the cultivation acreage, while the price of competitive crops and transportation costs have a negative effect on the production of alfalfa. Lastly, the 2012 alfalfa subsidy policy has a significant negative impact on alfalfa cultivation acreage.

Due to the limited research on alfalfa supply in China, there is a lack of available research data and statistical data. A large number of data in this study are mainly indirect data derived and calculated from other industrial data. The measurement results may not be fully accurate.

This study represents the first empirical analysis of the characteristics of the factors influencing alfalfa cultivation acreage in China. The secondary data were used to analyze the influence of various control variables on the cultivation acreage of alfalfa, which is different from existing research.

This case highlights the green agriculture initiative of the Honliv High Tech Agricultural Development Co., Ltd. towards agriculture environmental protection and better life. In this process, the Honliv Company confronted many difficulties, such as addressing the green transformation concerns of the team, identifying the sustainable agriculture target, the project selection of red globe grape products, the planning of a demonstration vineyard and green marketing. Nevertheless, with the Red Globe Grape of the “Honliv brand” had won the certification of China’s “Grade A” green food mark, and its green marketing initiatives, such as the “picking and demonstration model” had won people’s identification. The company was awarded the honorary titles of “Red Globe grape planting demonstration base with the Chinese characteristics” and “pollution-free science and technology demonstration unit of Chinese fruits and vegetables.” By discussing the Honliv Company’s experience and difficulties during the sustainable agriculture transformation process, one can realize the importance of green agriculture initiatives for creating a better life for humans.

This paper examines the performance of smallholder rice farms established using improved planting technologies – broadcasting, dibbling and transplanting – under different production systems – rain-fed and irrigation – in Ghana.

Using recent cross-sectional data of 200 smallholder rice farmers from the upper east region of Ghana, this study employed multinomial logit model and descriptive and inferential statistics for the analysis.

The results revealed that rice production under irrigation system contributes significantly to increasing farm productivity and profitability. Rice farmers who adopted dibbling and transplanting technologies under both irrigation and rain-fed production system obtained higher productivity and profitability than those who used broadcasting technology. Adoption of improved rice planting technologies by smallholder farmers is significantly influenced by education, farm size, improved rice varieties, sales outlets, hired labour and percentage of paddy sold.

The sample size is relatively small, even though findings are still very important in terms of policy formulation for improved smallholder farm performance in a developing country like Ghana.

This study calls for collaborative efforts by government, donor agencies and NGOs to establish irrigation facilities and/or expand existing ones, increase sensitization and dissemination of improved planting technologies, as well as intensify the input subsidy programme in Ghana.

To the best of the authors knowledge, this is the first study that focuses on farmers' choice of rice planting technologies under irrigation and rain-fed production systems, and how these technologies impact on smallholder farm performance in Ghana.

During the planting process, agricultural products produce large amounts of greenhouse gas (GHG) emissions. This has placed tremendous pressure on sustainable global development. Many countries and regions in the world have adopted intensive subsistence cultivation methods when planting maize; however, limited studies exist on these methods. The main purpose of this research is to show the impact of climate change on maize yields and carbon footprint (CF) in South Korea over 10 years, find the proper operating method and promote the advanced combination of inputs for the sustainable development of maize farmers.

This study used survey data from the South Korea Rural Development Administration of 2010, 2014 and 2019 to estimate the CF of maize planting under intensive subsistence cultivation. Life-cycle assessment was used to determine the CF. Farmers were grouped according to significant differences in yield and GHG emissions. Linear regression was used to measure the dependence of the main contributors on the CF production and carbon efficiency.

In South Korean maize planting, N in chemical fertiliser was the most significant contributor to the CF and organic fertiliser was the most significant input. The use of chemical and organic fertilisers significantly affects the production of the CF and carbon efficiency. Households in the high-yield and low-GHG emission groups are more sustainable because they generate the least GHG when producing and earning through maize cultivation. Globally, maize production in South Korea has a relatively low CF and maize production produces fewer GHG.

This study provides information for policymakers to determine key operational options for reducing GHG emissions using intensive subsistence cultivation of maize production in South Korea and other countries.

Hospital landscape is not a useless space within hospital buildings anymore. It is considered as a supportive area providing mental and physical peace. However, the planting design of the hospital landscape and the way it should be in order to not disrupt wayfinding performance is neglected. This paper, which is a case study, aims at investigating the effects of planting design in Kerman hospitals’ landscapes on the users’ wayfinding using space syntax techniques.

This research focuses on the effects of planting design on the users’ wayfinding in hospitals. In so doing, library research, computer simulation and analysis with the University College London (UCL) Depthmap software, and comparison techniques are used. Based on axial maps, the measures of integration, connectivity and intelligibility are considered for analysing the wayfinding process of individuals.

The findings show that planting configurations in the hospital landscape can affect individuals’ wayfinding. Integrated and regular planting design in addition to combining planted areas with the hospital buildings can pave the way for intelligible space and easier wayfinding.

According to the authors’ knowledge, the current study is the first to use the space syntax techniques in the health-care landscape architecture in terms of planting design and wayfinding. As wayfinding is an important issue in health-care spaces, the study findings can greatly help the health-care building designers and the related organizations to pay attention to the hospital landscape as much as hospital indoors.

Purpose – The purpose of the research aims to observe the high growth of corn crops with a different cropping pattern.

Design/Methodology/Approach – The research is conducted based on field experiments with Group Randomized Design (hereafter RAK shortened from Cluster Random Design). The treatment of cropping pattern I is that corn crops are planted in one row with the size of plot 9 m × 4 m, and the distance planting of the crops is 70 cm × 40 cm. Cropping pattern II is that corn crops are planted in two rows with the size of plot 9 m × 4 m, and the distance planting is 70 cm × 40 cm. Cropping pattern III is that corn crops are planted in three rows with the size of plot 9 m × 4 m, and the distance among the crops is 70 cm × 40 cm.

Findings – The result of research shows that the highest corn crops are from cropping pattern II.3 at age 15 and 30 after planting time (called HariSetelahTanam or HST). The increase of cropping rows from one row to two rows indicates that intra-specific competition are more dominant. The growth of crops is faster because they need full sunlight at vegetative and generative stages. The need of full sunlight at the growing stage causes the increasing of stem height of crops to enable the crops to receive the sunlight optimally due to the continuity of photosynthesis process. The increasing growth of stem diameter is in accordance with the growth speed of height plant at the same age.

Research Limitations/Implications – This research intends to find out the best growing process of the plant. Further research is needed to study the outcome of final product of the plant.

Practical Implications – This is to see the utilization of the best cropping pattern and optimal land utilization.

Originality/Value – High growth of corn crops and stem diameter (Zea may, S) with a different cropping pattern has not yet been published.

The purpose of this paper is to analyze the heterogeneity of regional grain production distribution in China, by examining the regional heterogeneity of absolute and relative changes in grain planting acreage, and explain it in terms of increasing labor costs and difficulties in agricultural inputs adjustment.

The study uses data from official statistical yearbooks and the satellite remote sensing image data of Landsat TM 30 m. Multivariate analysis is conducted to examine the effect of labor cost, difficulty in replacing agricultural input factors and other factors underpinning changes in grain acreage and grain structure adjustment.

The heterogeneity of changes in grain acreage and proportion of arable area for grain production are mainly determined using the labor cost and difficulties in the replacement of agricultural input factors.

To the best of the authors’ knowledge, this study is the first to systematically analyze the heterogeneity in restructuring grain production at provincial level and its causes. The results not only provide evidence of grain production restructuring at regional level, but also contribute to the understanding of the law of structural change in agricultural production.

The paper aims to measure the effects of market liberalization on Chinese farmers' crop planting decisions.

The effects are measured using a censored, two‐stage, least‐square regression.

The results show that the effects of market liberalization on planting decisions are more significant in the case of crops with minimum support price (rice, wheat, and corn) than in the case of crops where planting decision is determined by market prices (cotton and soybean). The effects appear to be different across regions and time zones and more significant in 1993 than in 2005.

The result suggests that market liberalization along the past ten years achieved significant effects in Chinese farmers planting decision. This outcome should be taken into consideration when evaluating and implementing future Chinese agricultural policy income‐based interventions as a means to meet domestic food security goals and increase farmers' income level.