Organic farming is functionally integrated and serves as the foundation for circular agriculture. It guarantees resource efficiency in the deployment of nature-based initiatives to mitigate climate change. Organic farming is the most cost-efficient strategy for fighting climate change. Primarily the intensive generation of waste due to strong urbanization effects, the expression of consumer response is particularly powerful while purchasing organic items. This analysis’s major purpose is to examine which various aspects may be applied to consumers’ perspectives towards circular agriculture when buying organic foods. In this research, a well-constructed questionnaire was produced. Of the 1030 participants who participated in the survey, 1001 samples were examined. The major study question was, “Would the customer purchase organic food product that is good environment?” The second issue is, how do eco-label foods, knowledge about climate change, consumer education, and specific socio-demographic features impact the value of organic food consumption? According to the study’s findings, in the case of the studied customers, people’s concerns about climate change, trust, and eco-labels demonstrate a stronger preference for purchasing organic food. It is also a surprise that customer trust has a big effect on consumer buying intention. The new scientific result of the research is that, in the case of emerging countries, due to the significantly lower price level difference between organic products and traditional foods, the healthy properties of foods with an eco-label, as well as the communication of knowledge about climate change, have a significant effect on the level of consumption of organic foods.

A lack of adaptive capacities for climate change prevents poor farmers from diversifying agricultural production in Bangladesh’s drought-resilient areas. Climate change adaptation strategies can reduce the production risk relating to unforeseen climatic shocks and increase farmers’ food, income, and livelihood security. This paper investigates rice farmers’ adaptive capacities to adapt climate change strategies to reduce the rice production risk. The study collected 400 farm-level micro-data of rice farmers with the direct cooperation of Rajshahi District. The survey was conducted during periods between June and July of 2020. Rice farmers’ adaptive capacities were estimated quantitatively by categorizing the farmers as high, moderate, and low level adapters to climate change adaptation strategies. In this study, a Cobb–Douglas production function was used to measure the effects of farmers’ adaptive capacities on rice production. The obtained results show that farmers are moderately adaptive in terms of adaptation strategies on climate change and the degree of adaptation capacities. Agronomic practices such as the quantity of fertilizer used, the amount of labor, the farm’s size, and extension contacts have a substantial impact on rice production. This study recommends that a farmer more significantly adjusts to adaptation strategies on climate change to reduce rice production. These strategies will help farmers to reduce the risk and produce higher quality rice. Consequently, rice farmers should facilitate better extension services and change the present agronomic practice to attain a higher adaptation status. It can be very clearly seen that low adaptability results in lower rice yields.

One of the new fronts in food research is related to waste reuse and the impact of by-products on food nutrition intensity. These foods are Waste-to-Value (WTV) products that are suitable for demonstrating the processes of the circular economy (CE), in which another excess material is converted into a new food, generating higher nutritional properties. The manifestation of customer reaction is very strong when buying these products. Consumer findings can strongly support or hinder the development of circular systems through our purchasing decisions. In this way, it is essential to evaluate consumer WTV foods to learn about related consumer habits. Consumers can support or hinder the circular economy with their purchasing intentions. This analysis’s primary objective is to evaluate what different factors can be applied to consumers’ perception in purchasing sustainable WTV foods towards CE. In this study, a well-constructed questionnaire was prepared. Five hundred and forty-four (544) people participated in the survey, of which, 499 samples were analyzed. The primary research question was, “Would the consumer buy a sustainable Waste-to-Value (WTV) food product that affects the environment when it is produced? That is, it does not come from a circular system?” The other question is, how do the origin of products, information on production/nutritional value, consumer education, and certain socio-demographic characteristics affect the value of waste value for sustainable food consumption? According to the research results, in the case of the surveyed consumers, the younger age group (18–35 years old) shows a greater preference for buying sustainable products. It is also a surprising and new result that gender characteristics in this age group do not influence consumption patterns. Women and men showed the same preferences. Our second hypothesis is that education positively affects consumer intentions for sustainable WTV foods and especially organic products. The questionnaire did not confirm this.

In the case of developing countries, it is not clear which crisis management tools will ensure sustainable development in a sustainable and environmentally friendly way, as well as reducing CO₂ emissions in addition to ensuring GDP growth. The next analysis discusses the details of this issue. The study explores the connection between per capita GDP, emission of CO₂, combustible energy, and waste consumption. The Hausman test ratifies that the regression model with the fixed effect is the proper method for the panel balanced data from 1990 to 2019 in the selected 13 countries of the EU. This study ordered the data into three categories (for 13 selected countries, the top nine EU countries (in GDP), and Visegrad countries (Hungary, Slovakia, Czech Republic and Poland)). The study found a significant positive effect of combustible energy and waste consumption and the negative impact of CO₂ emission on GDP per capita. The cointegration test confirms that all three variables are cointegrated. This implies a long-term link among all three variables in the context of all three types of the selected panel. The Granger causality results ensure that there is a two-way cause–effect relation between the variables. The study strongly recommends that developed European Union countries (the top nine EU countries) increase energy production from biomass-based renewable energy and waste to stimulate economic growth. The same strategy was not recommended in the Visegrad countries because of the much lower GDP growth due to the N-shaped Kuznets curve. In these countries, it is advisable to avoid unexpected increases in CO₂ emissions from biomass and fossil fuel-burning, to achieve greenhouse gas reductions using other circular, platform-based models instead of simple biomass energy production. Due to the low level of energy efficiency and the lack of application of technological innovation, the energy use of biomass can significantly slow down GDP growth in less developed EU countries (such as the V4 countries).

Combustible renewable energy can be an effective instrument to confirm sustainable development in reducing CO₂ emissions to Gross Domestic Product (GDP) per capita in developing countries. However, connecting to some developing regions, the main research question is to what extent, in EU post-communist fast-developing countries (Visegrad Countries/Czech Republic, Slovakia, Hungary, Poland), will meeting the climate change preferences affect the use of biomass for energy and waste incineration, and how will this affect GDP growth? In addition, of course, what the Balkan countries can learn from this is also very important. The study investigates the relationship between GDP per capita, CO₂ emissions, and Combustible Energy and Waste Consumption (CEWC). According to the Hausman test, the regression model along with random effect is the appropriate method for panel-balanced data as of 2008 to 2020 concerning Balkan countries. The data was divided into three categories: 10 Balkan countries, 4 countries without access to the sea (Kosovo, Bosnia and Herzegovina, Serbia, and Macedonia), and Visegrad countries. The study discovered a substantial positive influence of CEWC on GDP per capita and a significant negative influence of CO₂ emissions. The cointegration test confirms the cointegration of all three variables. This means that all three variables have a long-term relationship concerning the sense of each three forms of the chosen panel. The Granger causality findings shows the variables have a two-way causative relationship. The biomass energy use can dramatically hamper GDP growth in Visegrad and less developed Balkan countries without sea water, due to low energy productivity and a lack of technical innovation. The study recommended that instead of using energy production from simple biomass, these countries can use other circular, platform-based models to prevent unexpected rises in CO₂ emissions and achieve Green House Gas (GHG) reductions. Therefore, this should be given more attention when setting climate and renewable energy policy targets, because they can significantly slow down economic growth.

This paper analyzes the factors affecting the willingness to pay of urban households concerned with efficient waste management in Bangladesh. The multistage random sampling approach selected 1400 families from seven major cities in Bangladesh. This study addresses the socioeconomic and environmental factors that influence urban households’ willingness to pay for improved waste management services in Bangladesh. This study uniquely contributes to the literature by providing a large-scale empirical analysis of 1470 households using a logit model, revealing income, education, and environmental awareness as key predictors of WTP. Detailed survey data from respondents were then analyzed using a logit model based on the contingent valuation method. Indeed, the logit model showed that six variables (education, monthly income, value of the asset, knowledge of environment, and climate change) had a statistically significant effect on the WTP of the households. The results show that 63% of respondents were willing to pay BDT 250 or more per month. The most influential factors driving this willingness to pay were income (OR = 1.35), education level (OR = 1.45), and environmental awareness (OR = 3.56). These variables all contribute positively towards WTP. The idea is that families have some socioeconomic characteristics, regardless of which they are ready to pay for a higher level of waste collection. It is recommended that government interference be affected through various approaches, as listed below: support for public–private sector undertaking and disposal, an extensive cleaning campaign, decentralized management, cutting waste transport costs, and privatization of some waste management systems. These could be used to develop solutions to better waste management systems and improve public health.