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The quantitative understanding of the safe input management practices of vegetable producers is essential for both food safety and environmental protection. The purpose of this study is to investigate the current status of safe production in vegetable enterprises and examine the key risk factors affecting the safe production of vegetables from the perspective of agricultural inputs.

Based on the theory of risk analysis, a framework of safe vegetable production risk analysis is constructed from the perspective of production input behaviour. Based on 202 valid questionnaires in Beijing, China, this paper identifies direct risks in input management through statistical descriptive analysis; determines weights through an expert elicitation process and calculates weighted safety values accordingly; and finally uses a categorical regression model to explore the indirect risks affecting corporate safety production.

The results show that direct risk factors include seed treatment risk, pesticide and fertilizer use criteria risk, pesticide and fertilizer operation risk, and pesticide application object risk. The production safety value of Beijing's enterprises is found to be high in the north and south regions, and low in the central region. Finally, some indirect risk factors, namely the cognition of agricultural product safety laws, the cognition of pesticide safety intervals, the cognition of prohibited pesticides and the possession of brands, are found to have positive and significant impacts on the safe production behaviour of enterprises.

These findings provide entry points for interventions aimed at reducing dependence on pesticides and fertilizers and promoting input management for safe vegetable production in enterprises, thus avoiding vegetable safety incidents due to improper practices in the production chain.

This paper seeks to provide an in‐depth discussion on the impact of agricultural biotechnology in developing and least developed countries (LDCs) as well as the concomitant biosafety concerns that might have an impact on trade and the environment whilst highlighting the importance of choosing development pathways that are conducive to the specific needs of these nations without endangering the biodiversity and affecting people's health.

The paper adopts a socio‐legal approach by undertaking a content analysis of decided cases, relevant treaties and existing studies conducted in areas related to agricultural biotechnology within the framework of sustainable development imperatives.

The paper suggests that developing countries venturing into agricultural biotechnology need to enrich the technology according to their needs and capabilities in order to be able to weigh the benefits against the risks in the production and import of genetically modified organisms (GMOs) specifically via the implementation of the “precautionary principle” and viable “risk assessment” techniques which conform to their existing international law obligations in view of the findings that most of these nations have not formulated adequate legal and institutional frameworks supported with the necessary expertise to regulate, monitor, and ensure safety of agricultural GMOs produced and/or imported by them.

The issues and suggestions in this paper will enable the development process of developing and least developed economies to conform to the tenets of sustainable development and minimize the loss of Earth's biodiversity.

The paper is of practical use to stakeholders and policymakers alike venturing into agricultural biotechnology. It pools the findings of a cross‐section of studies to look at the implications therein and the arising biosafety and trade issues with special reference to developing and LDCs.

The purpose of this paper is to analyse the effects of member size and external incentives (food safety certification and target market) on cooperative’s product quality, using data collected from 135 apple producing cooperatives in China.

Given that different indicator variables were used to measure apple quality, the authors employed a principle component analysis method to reduce the measurement dimension. An ordinary least square regression was employed to analyse the effects of member size and selective incentives of agricultural cooperatives on product quality.

The empirical results show that member size and cooperative’s product quality bear an inverse “U-shape” relationship, and food safety certification and target market variables tend to positively and significantly influence cooperative’s product quality. In particular, the cooperatives with more food safety certificates and targeting supermarkets and export enterprises are more likely to supply high-quality products.

This study provides the first attempt to measure apple quality and investigate the factors that influence cooperative’s product quality.

Private retail and brand-driven sustainable procurement standards are influencing global agri-food markets, shifting trade and export priorities and reshaping food supply chains. Using the case of Australian beef, the authors construct and evaluate three procurement activity “portfolios” and evaluate how these activity sets pull towards or against diverse organisational goals and/or science-based sustainability objectives.

A review of the academic and practitioner literature identified three key pillars for sustainable Australian beef procurement: animal welfare, environmental management and climate change (i.e. emissions). A subset of sustainable beef production activities (n = 100) was identified through this review plus semi-structured interviews with Australian beef retailers and industry bodies. This activity set was filtered (n = 40) and scored by a panel of science experts via a series of workshops and an additional survey. Using these data, the authors use a k-means cluster analysis (k = 3) to consider the strong or weak contributions of each activity portfolio towards typical sustainable beef goals.

A portfolio-based view of sustainable procurement puts the trade-offs between activities and the need for clear sustainability prioritisation into sharp focus. The authors find that individual strategies may be singularly more or less impactful, complex or popular, but when combined as a suite of activities enacted towards a particular goal or set of goals, essential for success. The authors find that obtaining balance across sustainable beef pillars versus within specific pillars can narrow the optimal set of activities that can succeed against multiple sustainability goals.

For procurement managers, the balance between clear focus and multidimensional progress is a difficult challenge. It requires the bold identification and articulation of an organisation’s interlocking corporate, industry or environmental objectives and flexibility on the strategies, tools and resources required. The authors posit that shifting away from a focus on rigid metrics may be useful in breaking the impasse on meaningful action.

Using a set of known activities and strategies that a procurement manager might draw from in operationalising sustainability goals, the authors cluster activities into three discrete activity portfolios. Each portfolio requires differing levels of effort, implementation complexity and potential for within-pillar and cross-pillar impact (i.e. co-benefits). Assessing the evidence and potential for cross-pillar impacts of individual strategies is a complex undertaking, indicative of the systems and tangled interactions that characterise sustainability science more broadly.

By assessing how the procurement function can be leveraged and operationalised towards sustainability goals through a lens of optimal portfolio management, the authors provide a way forward for the procurement managers working within large retailers and agri-food businesses to progress towards multiple sustainability pillars simultaneously.

The purpose of this paper is to investigate the effects of extreme weather conditions on runoff, nutrient, and soil loss from agriculture‐dominated catchments at different locations in Norway.

Four catchments have been selected to study the potential effects of climate change on runoff and nutrient loss. The catchments are part of the Agricultural Environmental Monitoring Programme in Norway (JOVA) and represent different climatological conditions, agricultural production systems/practices, and soil types. Different characteristics were calculated on the basis of existing measurements and evaluated with respect to climate change.

In four selected catchments, climate change is predicted to lead to an increase in runoff. Under similar land use and tillage methods, this will most likely lead to an increase in nutrient and soil loss. Milder winters as a consequence of climate change might lead to extreme runoff conditions and severe erosion, caused by a combination of frozen soil, snowmelt, and intense rainfall. Existing large diurnal variations in discharge have to be taken into consideration in the future design of hydrotechnical implementations. Information about the potential effects of climate change on runoff generation, the magnitude of the different hydrological flow paths, and their potential effects on nutrient and soil loss processes is necessary in choosing the right mitigation measures.

Long time series on runoff and water quality (such as those collected in small agriculture‐dominated catchments as part of the Agricultural Environmental Monitoring Programme in Norway (JOVA)) are rare, but indispensable in evaluating the potential effects of climate change on nutrient and soil loss.

A systems perspective of waste management allows an integrated approach not only to the five basic functional elements of waste management itself (generation, reduction, collection, recycling, disposal), but to the problems arising at the interfaces with the management of energy, nature conservation, environmental protection, economic factors like unemployment and productivity, etc. This monograph separately describes present practices and the problems to be solved in each of the functional areas of waste management and at the important interfaces. Strategies for more efficient control are then proposed from a systems perspective. Systematic and objective means of solving problems become possible leading to optimal management and a positive contribution to economic development, not least through resource conservation. India is the particular context within which waste generation and management are discussed. In considering waste disposal techniques, special attention is given to sewage and radioactive wastes.

Taking Huangshan City as an example, the purpose of this paper is to explore the relationship between gross products of agriculture (GPA), its main composition as well as their influential intermediate inputs, followed by some suggestion, in order to optimize agricultural industrial structure and distribute the ratio of various inputs in agriculture, farming, forestry, animal husbandry and fishery, so as to improve GPA of Huangshan City.

This paper is characterized by an exploratory research by using the grey incidence analysis based on the grey systems theory initiated by Chinese professor Julong Deng. The original data processed in the model are quoted from the Statistical Yearbook of Huangshan City.

This paper draws some important conclusions. First, in terms of large, intermediate inputs in animal husbandry production and fishery production are two important aspects which affect the growth potentiality of agricultural gross products in Huangshan City. This also reflects that the development potentialities of fishery and animal husbandry are larger. Second, the level of agricultural modernization is relatively low in Huangshan City, the growth of agricultural output relies on a large number of inputs such as fertilizers, pesticides, but it also reflects the agriculture production system has huge potentiality to increase in Huangshan City from the side. Third, agriculture producer services as a whole is still relatively weak in Huangshan City. It is difficult to adapt to the development of modern agriculture and agricultural modernization. Finally, the results show that intermediate inputs have different influence on farming, forestry, animal husbandry and fishery.

Suggestion are also proposed to the related policy makers as follows: to vigorously develop animal husbandry and fishery in order to optimize agricultural industrial structure of Huangshan City, to improve agricultural modernization level, to speed up the service support system construction of agriculture production, to optimize the allocation of inputs in farming, forestry, animal husbandry and fishery reasonably.

Agricultural carbon productivity considers the dual goals of “agricultural economic growth” and “carbon emission reduction”. Improving agricultural carbon productivity is a requirement for promoting green and low-carbon development of agriculture. Agricultural production agglomeration is widespread worldwide, but the relationship between agricultural production agglomeration and agricultural carbon productivity is inconclusive. This paper aims to study the impact of agricultural production agglomeration on agricultural carbon productivity, which is conducive to a better understanding of the relationships among agglomeration, agricultural economic development and carbon emission, better planning of agricultural layout to build a modern agricultural industrial system and achieve the goal of carbon peaking and carbon neutrality.

Based on China's provincial data from 1991 to 2019, this paper uses non-radial directional distance function (NDDF) and Metafrontier Malmquist–Luenberger (MML) productivity index to measure total factor agricultural carbon productivity. Subsequently, using a panel two-way fixed effect model to study the effect and mechanism of agricultural production agglomeration on agricultural carbon productivity, and the two-stage least squares method (IV-2SLS) is used to solve endogeneity. Finally, this paper formulates a moderating effect model from the perspective of the efficiency of agricultural material capital inputs.

The empirical results identify that Chinese provincial agricultural carbon productivity has an overall growth trend and agricultural technological progress is the major source of growth. There is an inverted U-shaped relationship between agricultural production agglomeration and agricultural carbon productivity. The input efficiency of agricultural film, machine and water resources have moderating effects on the inverted U-shaped relationship. Agricultural production agglomeration also promotes agricultural carbon productivity by inhibiting agricultural carbon emissions in addition to affecting agricultural input factors and its internal mechanisms are agricultural green technology progress and rural human capital improvement.

This paper innovatively adopts the NDDF–MML method to measure the total factor agricultural carbon productivity more scientifically and accurately and solves the problems of ignoring group heterogeneity and the shortcomings of traditional productivity measurement in previous studies. This paper also explains the inverted U-shaped relationship between agricultural production agglomeration and agricultural carbon productivity theoretically and empirically. Furthermore, from the perspective of agricultural material capital input efficiency, this paper discusses the moderating effect of input efficiency of fertilizers, pesticides, agricultural film, agricultural machines and water resources on agricultural production agglomeration affecting agricultural carbon productivity and answers the mechanism of carbon emission reduction of agricultural production agglomeration.

The purpose of this paper is to analyze agricultural total factor productivity (TFP) and input redundancies in different regions of China, and to bring out the policy implications for improving efficiency in agricultural production as well as environment protection.

Based on the provincial panel data during 1995-2014, the agricultural productivity of China and its regional disparity are analyzed. First, the agricultural TFP and its decomposition are dynamically evaluated by means of data envelopment analysis-Malmquist productivity index. Second, the agricultural radial production efficiency in year 2014 and the input redundancy changes from 1995 to 2014 are measured based on the BCC-slacks-based measure model.

The results showed that the overall agricultural TFP of China grew 4.3 percent annually during 1995-2014, mainly as a result of technical progress. However, the declines of technical efficiency and scale efficiency slowed down the agricultural TFP growth. The TFP growth in the Western region and Central region far exceeded the Eastern region in last few years. In 2014, most effective decision-making units were in the Western region. The input redundancies in the agricultural production increased substantially after 2006, especially for the pesticide use amount, reservoir capacity and agricultural machinery power.

Combining the dynamic and static analyses, the paper fulfilled the study of China’s agricultural productivity and the input redundancies in recent years, and also presented the regional disparities.