The objective was to estimate the difference in cost, revenue, and profit between unassisted and assisted calvings on western Canadian cow-calf operations. Historical records of individual animal production measures from 2015 to 2020 and industry-described inputs were used in a modified decision tree model. The incidence of assisted calvings in heifers and cows was 4.6 and 2%, respectively. Assisted heifers and cows had an expected profit of −$227.43 and −$67.06 CAD per calving, respectively, while unassisted heifers and cows had an expected profit of −$76.11 and $120.12 CAD per calving, respectively. Calving assistance can impact the profitability of western Canadian cow-calf operations.

The adoption of fungus-resistant grapevines may be a key strategy for substantially reducing fungicide use in pesticide-intensive viticulture. In a representative survey conducted among 436 grapevine growers in Switzerland, we elicited growers’ expected share of land devoted to fungus-resistant varieties in ten years. More specifically, using regression analyses, we explore the main predictors behind the stated adoption intentions. We find that one-third of new plantings in the next decade will be fungus-resistant varieties. As a result, the expected share of land devoted to fungus-resistant varieties in ten years is 27.4% (compared to 10.2% in 2022), thus increasing by 169%. Farmer- and farm characteristics explain most of the adoption dynamics, especially growers’ beneficial health perceptions about fungus-resistant varieties, which correlate positively with their expected land share devoted to these varieties. Moreover, non-organic grapevine growers are particularly likely to increase their land devoted to these varieties. These findings have important implications for agricultural policy and industry in Europe and elsewhere, facilitating the expected plantation increase using a policy mix tailored to farmer- and farm-level characteristics.

This paper tests the pollution emissions and institutional quality nexus in Africa. Specifically, we analyze the effect of the political regime and the quality of political governance on CO2 emissions. To control for endogeneity, we apply the system generalized method of moments on a dynamic panel of African countries over the period 1996–2020. The key finding suggests that better institutions have a negative and significant effect on pollution in Africa. The findings also validate the environmental Kuznets curve hypothesis. Moreover, the results support the pollution haven hypothesis. Finally, if digitalization significantly curbs pollution, then industrialization, natural resources, as well as the intensive use of energy, are considered as positive predictors. All the sensitivity and robustness tests globally validate the strength of the negative association between the good quality of institutions and the level of polluting emissions in Africa. The results call for some policy recommendations in environmental regulation for African economies.

Land protection not only supports vital ecosystem services but also poses important challenges for social equity. Three key concerns emerge from economic frameworks about land protection policies: potential lost local economic development, reinforcement of existing structural inequalities, and disparities in access to the benefits of protected land. This article reviews evidence for each concern and identifies research needs as well as potential improvements in policy that could better support equity goals. Pathways forward towards greater equity include specific mechanisms that can ensure local communities benefit from land protection, attention to issues of spatial impacts and timing, explicit prioritization of equity in land protection initiatives, and community-centred processes. Economists have and can continue to play a role in strengthening these dimensions of land protection policies.

Most proposed solutions in the Global Green New Deal literature involve finance and technology transfers to address the imbalance between the Global North and Global South, while providing little discussion of the internal socioeconomic structures within countries in the Global South. This article uses China as a case study to show that without addressing the issue of domestic informality, the potential benefits of a Global Green New Deal are less likely to be fully realised in the Global South. We use the Input-Output method and our originally constructed data on formal and informal employment to calculate the informal employment share in two exemplary renewable energy sectors: solar and wind. We find that more than half of the jobs created in the solar and wind energy sectors, with a given level of spending, will be in the informal economy, and hence are associated with low wages and little social welfare protection. The results imply that, without addressing informality, both renewable energy sectors perpetuate the informal structure in the broader economy. We also question the capitalist nature of ‘green jobs’ created by the Green New Deal. Based on the results, we call for a more organic integration of a Global South perspective in the studies of a Global Green New Deal.

Human civilisation faces a series of existential threats from the combination of five global and human-engineered challenges, namely climate change, resource depletion, environmental degradation, overpopulation and rising social inequality. These challenges are arguably being manifested in both an increased likelihood and magnified impact of catastrophes like forest fires, prolonged droughts, pandemics and social dislocation/upheaval. This article argues that in understanding and addressing these challenges, important lessons can be drawn from what has repeatedly caused organisational failures. It applies the ‘Ten Pathways to Disaster’ model to a series of disasters/catastrophic events and then argues this model is salient to understanding inadequate responses to the five threats to civilisation. The article argues that because these challenges interact in mutually reinforcing ways, it is critical to address them simultaneously not in isolation.

In recent years, ‘environmental economics’ has provided the dominant logic underpinning policies for ‘sustainable development’ in the form of government managed price-based and rights-based mechanisms. The advocacy of property rights in environmental management is taken further in the libertarian ‘free market’ approach and this ‘privatisation’ perspective is reflected in the growing use of property rights instruments in climate change policy. This article examines the efficacy of using economic instruments in the environmental context where ‘market ecology’ promotes the commodification of environmental ‘goods’ and ‘bads’ and their management by market forces. It argues that the pricing of ‘nature’ or its useful properties is a crude abstraction that implies ecological values can be alienated, but this is incompatible with the material and relational qualities of such values. The limits of this conceptualisation are further demonstrated through an examination of the Kyoto Protocol’s Clean Development Mechanism (CDM), a price and property rights instrument which enables private project developers in developing countries to produce carbon credits in order to offset greenhouse gas pollution in developed countries. The evident negative social and environmental effects flowing from implementation of the CDM reinforce the limitations of economic logic in the environmental context.

This research investigates the role of public sector innovation outcomes, e.g. trademark innovation, information and communication technology (ICT), renewable energy, and governance, in the sustainable development of Bangladesh during 1980–2019. Utilising the dynamic autoregressive distributed lag (DARDL) simulation approach, this study divulges a favourable long-term influencing profile of public sector innovation outcomes, i.e. trademark innovation, ICT, and renewable energy on sustainable development, while governance has a heterogeneous impact. Besides, the findings from the DARDL simulations area plots display 10% counterfactual shocks to the public sector innovation outcomes on sustainable development. Furthermore, the Kernel-based regularised least square machine learning algorithm approach used in the study examines the marginal effects of the public sector innovation outcomes on sustainable development for robust findings. Therefore, the policy suggestions are solely concerned with the public sector’s adoption of more innovation dynamics through appropriate policy formulation.

The iron and steel industry generates around 10 % of global greenhouse gas emissions. The bulk of the emissions originates from the iron ore reduction. In this reduction, coal is used as a reagent. Steelmakers could switch to hydrogen-based direct reduction using hydrogen instead of coal as a reagent to reduce iron ore to pig iron. This would eliminate the CO2 emissions from the equivalent process in a traditional blast furnace. However, the process requires massive amounts of electricity. This paper looks at the economics of such a switch to “green steel.” We assess a marginal increase in the production of a hypothetical green steelmaker. We also undertake an investment appraisal of a green plant, based on an ongoing installation in Northern Sweden, but also briefly consider a possible/planned investment in the US. This appraisal is complemented by computing the survival function for the net present value in a systematic sensitivity analysis. It seems highly unlikely that a green steel plant can be socially profitable. If the green plant displaces conventional steel produced within the European Union’s cap-and-trade system for greenhouse gases, total emissions remain more or less unaffected; permits and emissions are simply reshuffled. Hence, if end-users of green steel pay a premium, they might pay for an illusion.

We analyse the relationship between individuals' subjective wellbeing (SWB) and measures of their country's sustainability. SWB data are sourced from the World Values Survey; sustainability is measured by ecological footprint (EF) and by components of the World Bank's adjusted net savings (ANS) series. ANS, a measure of weak sustainability, represents changes in a country's capital stock including financial, physical, human and natural capital. We show that an increase in strong sustainability, measured by EF and by ANS's natural capital component, is associated with reductions in SWB over the next decade followed by a rebound in SWB over the subsequent decade. We show also that the perfect substitutability assumptions on which ANS is calculated do not hold. Our findings highlight an important political challenge: governments that run sustainable policies may decrease the near-term wellbeing of citizens. This can reduce government's short-term popularity even though the improved sustainability may raise future wellbeing.

This paper explores the driving forces behind household waste generation in the Portuguese municipalities. The focus of the analysis is to empirically test the validity of the waste Kuznets curve (wKc) hypothesis, which postulates an inverted U-shaped relationship between waste generation and economic activity. Panel data is collected for 307 municipalities over the 2009–2018 period. Estimating the fixed-effects model and its dynamic versions of the waste generation equation, the decoupling hypothesis is confirmed, although it is only observed in the richest region of Lisbon and three other municipalities. Results suggest that the productive structure of the local economies is important for explaining waste generation behavior. Population ageing contributes negatively to waste generation, while population density and the development dichotomy are not important drivers in this process. Finally, tourism inflows have a positive effect on municipal waste generation, although the size of the impact is minimal.

This work examines the interaction between demographic features and environmental constraints in Caribbean small island developing states. Specifically, it aims to clarify human capital dynamics when migration and environmental quality matter. To do so, two main ingredients are introduced in an overlapping generations model: countries may benefit from migration through a brain gain or remittances, and production emits pollution that hinders the accumulation of human capital. Two cases emerge from the analysis. In the first case, an environmental policy is sufficient to correct the externality, and migration should stay at a relatively low level. In the second case, if pollution emissions are high relative to the effectiveness of environmental policy, migration leads to an increase in per capita output and human capital. This only happens if the emigration rate is already high, because it leads to a reduction in demographic pressure on the environment.

We analyze the economic costs and benefits of “community-led total sanitation” (CLTS), a sanitation intervention that relies on community-level behavioral change, in a hypothetical rural region in sub-Saharan Africa with 200 villages and 100,000 people. The analysis incorporates data on the effectiveness of CLTS from recent randomized controlled trials and other evaluations. The net benefits of this intervention are estimated both with and without the inclusion of a positive health externality, that is, the additional reduction in diarrhea for an individual when a sufficient proportion of other individuals in the community construct and use latrines and thereby decrease the overall load of waterborne pathogens and fecal bacteria in the environment. We find that CLTS interventions would pass a benefit–cost test in many situations, but that outcomes are not as favorable as some previous studies suggest. The model results are sensitive to baseline conditions, including the value of time, income level used to calculate the value of a statistical life, discount rate, case fatality rate, diarrhea incidence, and time spent traveling to defecation sites. We conclude that many communities likely have economic investment opportunities that are more attractive than CLTS, and recommend careful economic analysis of CLTS in specific locations.

The study examines the effects of adoption of sustainable land management practices on farm households’ technical efficiency (TE) and environmental efficiency, using household-level data from Ghana. We employ selectivity biased-corrected stochastic production frontier to account for potential bias from both observed and unobserved factors. The empirical results show that adopters exhibit higher levels of TE and output, compared with the nonadopters. However, the results reveal that adopters are found to use excess herbicides that could have adverse environmental consequences. The results also reveal that extension services and access to credit positively and significantly correlate with TE.

Empowering farmers to increase productivity by educating them on conservation agriculture (CA) could contribute to reducing vulnerability, alleviating food insecurity, and fighting poverty while being ecologically sustainable in the Democratic Republic of the Congo. This study assesses the effect of a CA-promotion agriculture program. Findings suggest that location of the farm, training, having accessed credit, belonging to a farmers’ group, and being a vulnerable female all drove adoption to varying degrees and directions. Results also suggest that policy makers and CA practitioners should emphasize the ability that CA has to increase income and food security, which could widen CA adoption.

The aim of our study is to investigate how innovation is taking place through different research and development (R&D) activities and to establish a link between innovation and business sustainability in the context of Indian pharmaceutical companies. Our study is based on the secondary data. Sample data of 37 Indian pharmaceutical companies listed on the National Stock Exchange have been used based on the stratified sampling technique. For empirical analysis we have performed descriptive statistics, correlation matrix, and panel regression analysis as statistical techniques with the help of STATA 12.0 statistical package. R2 value can predict 100 and 98.20% variability in return on assets (ROA) and return on equity (ROE) in model 1 and model 2, respectively. In model 1, the value of c2 is 1.48 and its corresponding p value is 0.00 (<0.05) which means that the model is a good fit for interpretation. R&D intensity is having a positive effect on ROA and the effect is statistically significant at 1% level. Advertising and marketing intensity, capital intensity, leverage ratio and operating expenditure to the total assets ratio are having positive effect on ROA but the effect is not statistically significant. In model 2, the value of F statistics is 8025.62 and its corresponding p value is 0.00 which is <0.05. It means that the model is a good fit for study. R&D intensity is having a positive effect on ROE and the effect is statistically significant at 1% level. Advertising and marketing intensity, capital intensity and operating expenditure to the total assets ratio have positive effect on ROE and the effect is statistically significant at 1% level. Leverage ratio is having a negative effect on ROE but the effect is statically significant at 10% level.

Air pollution is a persistent and well-established public health problem in India: emissions from coal-fired power plants have been associated with over 80,000 premature deaths in 2015. Premature deaths could rise by four to five times this number by 2050 without additional pollution controls. We site a model 500 MW coal-fired electricity generating unit at eight locations in India and examine the benefits and costs of retrofitting the plant with a flue-gas desulfurization unit to reduce sulfur dioxide emissions. We quantify the mortality benefits associated with the reduction in sulfates (fine particles) and value these benefits using estimates of the value per statistical life transferred to India from high income countries. The net benefits of scrubbing vary widely by location, reflecting differences in the size of the exposed population. They are highest at locations in the densely populated north of India, which are also among the poorest states in the country.

Potato farmers in Ecuador rely on chemical inputs to manage pests and optimize yields. Integrated pest management techniques lower production costs, reduce pesticide exposure, and improve long-term agricultural sustainability. Public extension does not, however, exist in Ecuador, and cost-effective means of communicating complex messages to producers are needed. We analyze cost-effectiveness of alternative dissemination methods, including farmer field schools (FFS), field days, pamphlets, and word-of-mouth transmission. Field days and pamphlets have strong impacts on adoption, especially considering their low costs. FFS are effective, but expensive. Evidence also indicates significant diffusion from FFS to non-FFS farmers, indicating high complementarity across methods.

To analyze compliance with one aspect of the regulation of stormwater discharge, we estimate a random-utility model of the probability that a builder uses a silt fence to control sediments on a lot with a house under construction in an urbanizing county of South Carolina. The probability increases if the builder is responsible to the subdivision's developer or if a homeowners association exists. The probability also increases as the cost to install a silt fence decreases or the number of houses under construction per built house in a subdivision increases. The results can help county officials target inspection to improve compliance.

Survey evidence from U.S. organic farmers is evaluated to identify the factors influencing effectiveness ratings of cooperative extension advisors by organic farmers. A nonlinear logit model is specified for the ratings provided by organic producers, and critical demographic and management factors that influence the ratings are identified. The impact of the organic farmers' status in transitioning to organic production is highlighted. The results indicate that part-time, newer adopters of organic farming methods are more likely to rate extension service providers as effective providers of information. Scenarios to predict extension effectiveness when interacting with specific groups of organic farmers are developed.