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The purpose of this paper is to examine the dynamic of consumers' perceptions of GM food and explore whether their knowledge of GM technology is associated with a significant change.

This paper presents a meta-analysis of 156 primary studies reporting a total of 225 attitudes toward genetically modified foods. To identify the impact of consumers' knowledge of GM technology, the authors estimate multivalued treatment effects model.

The results of this study show that consumers' attitudes show a U shape during 2001–2022. That is, the rise in opposition to genetically modified foods has been reversed. In addition, this study also shows that the increase in consumers' knowledge of genetically modified technology contributes to their changes in attitude.

This paper is the first study that empirically investigates the dynamics of Chinese consumers' attitude to genetically modified foods, and shows the rise in opposition to genetically modified foods has been reversed, which has important implication for commercialization of genetically modified crops in China.

The purpose of this study is to investigate genetically modified food labeling effects on dietary restrained consumers’ perception and purchase intention based upon various labels and food type – whole versus processed.

A 2 (food type: whole vs processed) × 2 (product label: genetically modified organism [GMO] vs nongenetically modified organism [non-GMO]) research design was used in two steps. In the first step, the authors distributed 1,000 surveys, of which 858 surveys were used, and in the second step, the authors distributed 1,000 surveys and were able to use 891 surveys.

Results show that respondents with higher levels of dietary restraint have higher levels of perceived healthfulness. In addition, respondents with higher perceived healthfulness levels have a higher level of purchase intention for whole/GMO products, whole/non-GMO products, processed/GMO products and processed/non-GMO products. Moreover, the results show that individuals have higher purchase intention for whole/non-GMO than the whole/GMO products, whole/GMO than the processed/non-GMO products and processed/non-GMO than the processed/GMO products.

A future longitudinal study with assigned tracking numbers is suggested. Given that four different blocks were randomized, comparing data among individual participants would be interesting, as the ability to compare responses would be feasible among the four separate blocks.

The results of this study may assist the government in policy development, food manufacturers in labeling techniques used and consumers by increasing transparency and information availability.

Despite the susceptibility of cotton crops to pest attacks in the Malwa Region of Indian Punjab, no crop insurance policy has been implemented there– not even the Pradhan Mantri Fasal Bima Yojana (PMFBY), which is a central scheme. Therefore, this paper attempts to gauge the likely impact of the PMFBY on Punjab cotton farmers and assess the changes needed for greater uptake and effectiveness of PMFBY.

The authors have conducted a primary survey to conduct this study. Initially, the authors compared the costs of cotton production with the returns in two scenarios (with and without insurance). Additionally, the authors have applied a logistic regression framework to examine the determinants of the willingness of farmers to participate in the crop insurance market.

The study finds that net returns of cotton crops are conventionally small and insufficient to cope with damages from crop failure. Yet, PMFBY will require some modifications in the premium rate and the level of indemnity for its greater uptake among Punjab cotton farmers. Additionally, using the logistic regression framework, the authors find that an increase in awareness about crop insurance and farmers' perceptions about their crop failure in the near future reduces the willingness of the farmers to participate in the crop insurance markets.

The present study looks for the viability of PMFBY in Indian Punjab for the cotton crop, which can also be extended to other crops.

Punjab could also use crop insurance to encourage diversification in agriculture. There is a need for special packages for diversified crops under any crop insurance policy. Crops susceptible to volatility due to climate-related factors should be identified and provided with a special insurance package.

There exist very scant studies that have discussed the viability of a central crop insurance scheme in the agricultural-rich state of India, i.e. Punjab. Moreover, they do not also focus on crop losses accruing due to pest and insect attacks.

In a context where the promotion of a more sustainable agriculture is clearly aimed at, the paradoxical combination of sustainable agricultural practices (SAP) with chemical pesticides use instead of biological pest management techniques is recurrent in Sub-Saharan African (SSA) countries like Burkina Faso. Chemical pesticides are harmful to the environment and health. This paper aims to analyze the role of farmer education on the mode of adoption of SAP.

An endogenous treatment effect model is used with survey data on 1,898 rural households in Burkina Faso.

The results show a positive causal effect of farmer education on sustainable and chemical pesticide-free agriculture adoption.

Formal education appears to be general. This research could be extended to consider the role of training or extension services. More detailed results, focusing on spatial effects, could reinforce those of the present research.

Unlike previous studies, this paper addresses for the first time the paradoxical behavior of combining SAP with chemical pesticides use. It shows that farmer education contributes to explain it and is therefore a determining factor for a more sustainable agriculture.

Substantial pressure from civil society and investors has forced governments around the world to take climate neutrality initiatives. Several countries have pledged their nationally determined contributions towards net-zero. However, there exist various obstacles to achieving the same and the agriculture sector is one of them. Thus, this study identifies and models the critical barriers to achieving climate neutrality in the agriculture food supply chain (AFSC).

Sixteen barriers are identified through a literature survey and are validated by the questionnaire survey. Furthermore, the interactions amongst the barriers are estimated through the application of the “weighted influence non-linear gauge system (WINGS)” method which considers the both intensity of influence and the strength of the barrier. To mitigate these barriers, a framework based on green, resilient and inclusive development (GRID) is proposed.

The obtained results reveal that lack of collaboration amongst AFSC stakeholders, lack of information and education awareness, and lack of technical expertise obtained a higher rank (amongst the top five) in three indicators of the WINGS method and thus are the most significant barriers.

This paper is the first attempt in modelling the climate neutrality barriers for the Indian AFSC. Additionally, the mitigating strategies are prepared using the GRID framework.

The aim of this study is to (1) construct a standard framework for assessing the capability of bioenergy enterprises' digital green innovation partners; (2) quantify the choice of partners for digital green innovation by bioenergy enterprises; (3) propose based on a dual combination empowerment niche digital green innovation field model.

Fuzzy set theory is combined into field theory to investigate resource complementarity. The successful application of the model to a real case illustrates how the model can be used to address the problem of digital green innovation partner selection. Finally, the standard framework and digital green innovation field model can be applied to the practical partner selection of bioenergy enterprises.

Digital green innovation technology of superposition of complementarity, mutual trust and resources makes the digital green innovation knowledge from partners to biofuels in the enterprise. The index rating system included eight target layers: digital technology innovation level, bioenergy technology innovation level, bioenergy green level, aggregated digital green innovation resource level, bioenergy technology market development ability, co-operation mutual trust and cooperation aggregation degree.

This study helps to (1) construct the evaluation standard framework of digital green innovation capability based on the dual combination empowerment theory; (2) develop a new digital green innovation domain model for bioenergy enterprises to select digital green innovation partners; (3) assist bioenergy enterprises in implementing digital green innovation practices.

In this paper we report on the outcomes of a scenario planning project in Melbourne's (Australia) inner northern suburbs, which was undertaken in the context of an extended lockdown during Melbourne's second wave of COVID-19 infections. In this project, the researchers sought to identify the ways in which young people and youth service providers understood the challenges that the pandemic was creating for young people and the provision of youth services, and through the 5 years up to 2025.

The project was shaped by a scenario planning methodology that produced three research informed scenarios of possible futures for young people in Melbourne's inner north in 2025. The project conducted a series of structured video interviews with young people, and semi-structured interviews with stakeholders that asked participants to reflect on the context of the pandemic, and what the future might hold in relation to young people's pathways and health and well-being, and the futures of their communities and the planet.

The scenario planning methodology revealed many concerns, uncertainties and anxieties that were shared, but which also varied between young people and stakeholders – both about the immediacy of the pandemic, and its aftermaths and intersection with future crises.

The scenario planning approach offers sociologies of education and youth a means to do the future-oriented, “hopeful” work that multiple crises for young people demand. Scenario planning is an “affirmative” exercise in hope by which sociologies can “stay with the trouble” that we find ourselves in, and that the pandemic has amplified.

The main purpose of this paper is to explore whether the nature of innovation is accumulative or radical and to what extent past year accumulation of technology stock can predict future innovation. More importantly, the authors are concerned with whether a change of policy regime or a variance in the quality of technology will moderate the nature of innovation.

The authors examined a dataset of 3.6 million Chinese patents during 1985–2015 and constructed more than 5 million citation pairs across 8 sections and 128 classes to track knowledge spillover across technology fields. The authors used this citation dataset to calculate the technology innovation network. The authors constructed a measure of upstream invention, interacting the pre-existing technology innovation network with historical patent growth in each technology field, and estimated measure's impact on future innovation since 2005. The authors also constructed three sets of metrics – technology dependence, centrality and scientific value – to identify innovation quality and a policy dummy to consider the impact of policy on innovation.

Innovation growth is built upon past year accumulation and technology spillover. Innovation grows faster for technologies that are more central and grows more slowly for more valuable technologies. A pro-innovation and pro-intellectual property right (IPR) policy plays a positive and significant role in driving technical progress. The authors also found that for technologies that have faster access to new information or larger power to control knowledge flow, the upstream and downstream innovation linkage is stronger. However, this linkage is weaker for technologies that are more novel or general. On most occasions, the nature of innovation was less responsive to policy shock.

This paper contributes to the debate on the nature of innovation by determining whether upstream innovation has strong predictive power on future innovation. The authors develop the assumption used in the technology spillover literature by considering a time-variant, directional and asymmetric matrix to model technology diffusion. For the first time, the authors answer how the nature of innovation will vary depending on the technology network configurations and policy environment. In addition to contributing to the academic debate, the authors' study has important implications for economic growth and industrial or innovation management policies.

The purpose of this paper is to analyze the impact of different information source on consumer attitudes toward genetically modified food.

The data used in this study are obtained from a large-scale nationwide consumers' survey in urban China conducted by the China Center for Agricultural Policy, Peking University, in 2020. A descriptive analysis between information sources and consumer attitudes toward GM food was conducted. Based on the collected data, an econometric model on the determinants of consumer attitudes was constructed and used for analysis.

This study shows that the impact of new media is currently no different than that of traditional media, indicating that the media campaign successfully reduced the spread of rumors and misinformation regarding GM food. Moreover, this study also shows that consumers whose main information source regarding GM foods is school hold more positive feelings toward such food.

This study contributes to the existing literature by examining the impact of information source on consumer attitudes toward GM food. To reverse consumers' negative attitudes, China has launched a widespread media campaign since the first decade of the 2000s. Results of this study show that authorities' efforts to manage and surveil new media have yielded the desired outcome.