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on Agricultural Economics |
| By: | Egamberdiev, Bekhzod |
| Abstract: | Without shifting from conventional to regenerative agriculture, climate change effects are projected to worsen food security by degrading the environment and limiting agricultural development. While regenerative agriculture has become a cornerstone for reconciling environmental protection and agricultural production, regenerative agricultural practices can integrate soil health and biodiversity to improve food security outcomes. This manuscript uses the Life in Transition Survey-2016 to empirically analyse the relationships between regenerative agricultural practices (crop residue, manure application, mixed crop, zero/reduced tillage, and agroforestry) and food security outcomes. By clustering the sample into “High Regenerative Agriculture” and “Low Regenerative Agriculture”, the findings confirm that households adopting high regenerative practices are likely to improve food security outcomes reflected in dietary diversity and food expenditure. |
| Keywords: | Regenerative Agriculture, Food Security, Resilience, Central Asia |
| JEL: | N50 O13 |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:esprep:344070 |
| By: | Dylan Turner |
| Abstract: | This report examines how farmers enrolled in the Agriculture Risk Coverage (ARC) and Price Loss Coverage (PLC) programs receive their payments for the 2025 crop in October 2026. Using USDA Farm Service Agency data available as of October 1, 2026, this brief estimates that North Dakota farms will receive approximately $678 million for the 2025 crop, compared with about $26 million for the 2024 crop. Wheat accounts for about 60 percent of the 2025 total. The increase reflects both lower 2025 wheat and corn prices and the more generous program rules under the One Big Beautiful Bill Act (OBBBA), which raised reference prices, the ARC-CO guarantee, and the payment cap, and provided the higher of the ARC-CO or PLC payment for 2025. Running each year's data under both sets of program rules indicates that the new policy environment had the larger effect. Estimates are before adjusted gross income and payment limits. |
| Keywords: | Agricultural and Food Policy, Farm Management, Risk and Uncertainty |
| Date: | 2026–10–02 |
| URL: | https://d.repec.org/n?u=RePEc:ags:arpcbr:413090 |
| By: | Marie Rescan (LBE - Laboratoire de Biotechnologie de l'Environnement [Narbonne] - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CEE-M - Centre d'Economie de l'Environnement - Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier); Sophie Thoyer (CEE-M - Centre d'Economie de l'Environnement - Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier); Jean-Philippe Steyer (LBE - Laboratoire de Biotechnologie de l'Environnement [Narbonne] - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement) |
| Abstract: | The green transition cannot be achieved without profound transformations in cities, where nearly 70% of the global population is expected to reside by 2050. Urban metabolism is currently predominantly linear, characterised by high levels of resource imports and the export of most waste. The development of a circular urban bioeconomy can improve both environmental performance and urban selfsufficiency. Human biowaste and excreta are nutrient-rich resources that could partially meet the fertilisation requirements of agricultural areas within the urban hinterland. The use of wastewater sludge on agricultural soils is already practiced, but remains subject to sanitary regulations that may become more restrictive, while source separation of biowaste is improving too slowly, despite legislation mandating accessible source-separation solutions for French households as from January 2024. The transition towards greater circularity of organic matter in urban areas and their hinterland is far from straightforward and requires coordinated changes across a wide range of actors and sectors, from agriculture and food consumption, to waste-treatment infrastructures, as well as consideration of interactions between social, technical, and regulatory drivers. To explore these dynamics, we developed an agent-based model of a virtual city surrounded by peri-urban and agricultural land. The model represents the production and flows of biomass and biowaste: production of biomass (for food, energy, green space), its transformation, its use and consumption, and the sorting and partial recycling and transformation of remaining biowaste, as well as the return to soil of nutriments. It models interactions among 13 stylized agents, namely: agriculture, transformation unit, retailing, urban population, green space, 3 types of waste collectors (for biowaste, greenwaste, or mixed waste), wastewater treatment plank, composter, anaerobic digester, incinerator and landfill.We compare four scenarios varying along two axes inspired by the BETTER prospective 1 , whith low vs. high level of technology, and low or high level of environmental awareness. Our results show that even a moderate surface (approximately 15%) devoted to agriculture within the city's hinterland can meet the demand for locally produced fresh food, provided that such products are available (i.e. fruit and vegetable production). In contrast, organic matter generated within the city remains far from sufficient to supply local agriculture, even in the most virtuous scenarios, potentially constraining yields in organic farming systems which are not allowed to use mineral fertilizers. These findings suggest that, even under favourable social and regulatory conditions, nitrogen recycling major technical innovations will be required to achieve a substantially higher level of circularity between urban organic matter flows and surrounding agricultural areas. |
| Keywords: | socio-technical systems, agent-based modelling, biowaste management, circular bioeconomy |
| Date: | 2026–07–01 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05775875 |
| By: | Jacqueline Tereza da Silva (ELI - Earth and Life Institute [UCLouvain] - UCLouvain - Université Catholique de Louvain = Catholic University of Louvain); Valentin Guye (CEE-M - Centre d'Economie de l'Environnement - Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier, ELI - Earth and Life Institute [UCLouvain] - UCLouvain - Université Catholique de Louvain = Catholic University of Louvain); Aline Martins de Carvalho (USP - Universidade de São Paulo = University of São Paulo); Andrea Garcia (ELI - Earth and Life Institute [UCLouvain] - UCLouvain - Université Catholique de Louvain = Catholic University of Louvain); Federico Cammelli (CAM - University of Cambridge [Cambridge, UK]); Dominic Moran (The University of Edinburgh); Rafael de Oliveira Silva (The University of Edinburgh); Erasmus zu Ermgassen (ELI - Earth and Life Institute [UCLouvain] - UCLouvain - Université Catholique de Louvain = Catholic University of Louvain) |
| Abstract: | Background Cattle ranching is the leading proximate driver of deforestation in Brazil. Efforts to eradicate deforestation could incur a trade-off between forest conservation and agricultural production, as conservation constrains the supply of new agricultural land and requires investments in traceability and improved agricultural production, potentially negatively affecting consumer welfare through increased retail prices. We estimated the effect of deforestation on consumer prices using supply chain data for 2980 beef products in Brazil. MethodsWe investigated the effect of deforestation on retail prices using a regression model with neighbourhood fixed effects and covariates, including sanitary inspection level, product type, distance from meatpacker to retail store, supply chain monitoring, and retail store size. The model was informed by a directed acyclic graph and the analysis plan was preregistered.Findings We found no evidence that deforestation rates in regions where beef products were sourced affected retail price (R$-1⋅26/kg, 95% CI -2⋅66 to 0⋅13 [US$0⋅26/kg, 0⋅515 to 0⋅025]). Similarly, the implementation of sustainable procurement criteria by meatpackers did not affect prices (R$-1⋅71/kg, -4⋅00 to 0⋅57 [US$0⋅33/kg, -0⋅78 to 0⋅11]). The main predictors of price were product type, sanitary inspection, and supply chain length.Interpretation Beef products with varying deforestation footprints appeared to be marketed through similar supply chains and priced similarly to consumers. This lack of transparency along the supply chain creates a market failure and weakens incentives for sustainable production. |
| Date: | 2026–09 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05774933 |
| By: | Dylan Turner |
| Abstract: | This report examines the One Big Beautiful Bill Act (OBBBA) and raised federal crop insurance premium subsidy rates beginning with the 2026 crop year, and the USDA Risk Management Agency extended the higher 80 percent rate to the Enhanced Coverage Option (ECO). Using 2026 Summary of Business records, this brief estimates the added premium subsidy North Dakota producers received in the first year of the new rates. North Dakota producers received approximately $91.6 million in added subsidy, about 9.4 percent more than the same policies would have received under the 2025 rates. More than half of the gain came through ECO and the Supplemental Coverage Option (SCO), whose sales grew sharply in 2026. |
| Keywords: | Agricultural and Food Policy, Risk and Uncertainty |
| Date: | 2026–10–06 |
| URL: | https://d.repec.org/n?u=RePEc:ags:arpcbr:413130 |
| By: | Guglielmo Maria Caporale; Luis Alberiko Gil-Alana; Oluwadare O. Ojo |
| Abstract: | This study investigates the persistence and mean-reversion properties of major agricultural commodity prices in the Middle East and North Africa (MENA) region using a fractional integration framework. The analysis focuses on wheat, rice, maize, sugar, and soybeans under alternative specifications for the error process, including white-noise, Bloomfield autocorrelated, and seasonal autoregressive errors. The results are found to depend critically on the specification of the disturbances. Under white-noise and seasonal autoregressive errors, the estimated fractional differencing parameters exceed one for all commodities, indicating strong persistence and providing little evidence of mean reversion. However, allowing for autocorrelation as in the Bloomfield specification lowers the estimates below unity for all commodities. Significant mean reversion is found for wheat, rice, and soybeans in the case of the original series, while only soybeans exhibit significant mean reversion in the case of the logged series. Thus, agricultural price shocks do not all have permanent effects: their persistence varies across commodities and depends on the underlying error structure. These findings have implications for strategic reserves, agricultural trade, food-price stabilization, and food-security policies in the MENA region. |
| Keywords: | agricultural price shocks, mean reversion, MENA region, fractional integration, persistence |
| JEL: | C22 Q11 Q13 Q18 |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:ces:ceswps:_13025 |
| By: | Takuma Kunieda (School of Economics, Kwansei Gakuin University); Keisuke Okada (Faculty of Economics, Kansai University); Yasuyuki Sawada (Faculty of Economics, The University of Tokyo); Akihisa Shibata (Department of Economics, Osaka University of Economics) |
| Abstract: | Building on the two-sector growth model of Matsuyama (1992), this paper explores how the Green Revolution contributed to structural transformation through market-based price adjustments. To address the endogeneity of relative agricultural prices, we employ shiftshare (Bartik) instrumental variables drawing on the innovative methodologies and datasets developed by Gollin et al. (2021) and Huang (2024). We further construct a novel projected-TFP instrument to isolate realized agricultural productivity gains attributable to the Green Revolution. Our empirical findings show that the Green Revolution significantly increased agricultural productivity, lowered agricultural prices, and facilitated structural transformation when market mechanisms function effectively. Importantly, institutional quality critically shapes this price-transmission mechanism: weak institutions distort the transmission of agricultural productivity gains into relative prices and thereby impede structural transformation. To quantify these distortions and the associated misallocation, we construct a price-based misallocation (PBM) index that captures institutionally mediated distortions in relative-price adjustment. Overall, our findings show that the benefits of the Green Revolution depend not only on technological progress itself but also on the institutional environment through which productivity gains are transmitted into market prices. These findings highlight the importance of institutional reforms and targeted policies to reduce distortions and maximize the gains from agricultural innovation. |
| Date: | 2026–09 |
| URL: | https://d.repec.org/n?u=RePEc:tky:fseres:2026cf1281 |
| By: | Kee, Hiau Looi; Constantinescu Neagu, Ileana Cristina |
| Abstract: | This paper analyzes the trade policies, including tariffs and non-tariff measures, of major markets for Ghana’s exports. Based on the latest available data, it shows that high-income countries rely more heavily on non-tariff measures than on tariffs, while developing countries tend to impose more restrictive tariff barriers than high-income countries. In several developed markets, Ghana benefits from low or zero tariffs through preferential access and unilateral preference schemes. However, Ghanaian exports in these markets still face substantial non-tariff measures, particularly in agricultural products such as cocoa beans, cocoa paste and butter, and coconuts and cashews. These non-tariff measures primarily take the form of sanitary and phytosanitary measures and technical barriers to trade. To improve market access in these destinations, Ghanaian exporters must comply with requirements related to product conformity, quality standards, testing, and labeling. The recent European Union Deforestation Regulation further illustrates the growing importance of non-tariff measures affecting Ghana’s exports. |
| Date: | 2026–09–28 |
| URL: | https://d.repec.org/n?u=RePEc:wbk:wbrwps:11471 |
| By: | Fil Kristensen, Iryna (CIRCLE, Lund University); Grillitsch, Markus (CIRCLE, Lund University); Pugh, Rhiannon (CIRCLE, Lund University); Krautscheid, Lena (CIRCLE, Lund University); Morgan, Kevin (Cardiff University) |
| Abstract: | This paper examines how power-knowledge relations shape the mobilization, recognition, and suppression of local knowledge in food system transformation. Drawing on Foucault's subjugated knowledges, we analyse how experiential, place-based expertise encounters institutional resistance within regional governance frameworks. Through case studies from Skåne and Värmland, Sweden, we identify forms of transformative local knowledge, strategies actors employ to sustain them, and mechanisms of their marginalization. Our findings reveal how governance routines, regulatory norms, and national policy agendas constrain transformative potential, while demonstrating how local actors' agency creates alternative pathways for systemic change. |
| Keywords: | Sustainability transitions; Local knowledge; Food systems transformation; Place-based governance |
| JEL: | O38 Q01 Q18 |
| Date: | 2026–09–25 |
| URL: | https://d.repec.org/n?u=RePEc:hhs:lucirc:2026_001 |
| By: | Ankit Sikarwar; Kathryn Grace |
| Abstract: | Climate change has many forms including warming, extreme weather, and seasonal variability. Drought lies at their intersection, posing both immediate shocks and long term consequences for populations. In such conditions demographic implications remain insufficiently understood. Existing research relies on broad hydrometeorological thresholds that overlook the temporal and livelihood-specific dimensions through which households experience climatic variability. This study strengthens the empirical basis of climate–fertility research by examining how complex and context-sensitive drought exposure shapes women’s fertility intentions in Kenya. In this article, we first describe the spatial and temporal complexity of drought using the Standardized Precipitation Evapotranspiration Index (SPEI), a high resolution measure of drought widely used in climate science, then spatially and temporally harmonize the place-based measure with Kenyan women’s fertility intentions from the most recent nationally representative Kenya Demographic and Health Survey. Using this spatially harmonized data we estimate multilevel logistic models, adjusting for key demographic and socioeconomic predictors of fertility preferences. Results reveal a distinct temporal divergence - immediate drought exposure (past 6 months) was associated with lower odds of wanting a(nother) child, particularly in rural areas, whereas longer drought exposure (past 24 months) is associated with increased fertility intentions in both rural and urban settings. Also, with longer drought exposure there is an increase in uncertain fertility intentions. These effects are robust across exposure measurement strategies but are captured most sharply by the seasonally weighted score that aligns monthly drought with the agricultural calendar. These findings highlight the importance of temporally and contextually refined exposure metrics for understanding how climate variability shapes reproductive intentions. |
| Keywords: | climate change, drought, exposure, fertility intentions, Kenya, East Africa, CHANGEMENT CLIMATIQUE / CLIMATE CHANGE, INTENTIONS DE FECONDITE / FERTILITY INTENTIONS, SECHERESSE / DROUGHT, EXPOSITION AU RISQUE / RISK EXPOSURE, KENYA / KENYA, AFRIQUE ORIENTALE / EAST AFRICA |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:idg:wpaper:ri2r8qabkrjgnh2_uhjd |
| By: | Ortiz-Riomalo, Juan Felipe; Ramírez-Ramón, David; Engel, Stefanie; Koessler, Ann-Kathrin |
| Abstract: | Perceived and geographical distance among relevant actors can hinder prosocial behaviour and challenge environmental governance. Perspective-taking (the act of considering another's perspective and circumstances) can help overcome these challenges, but its impact is far from straightforward and depends on the mechanisms it activates. We further conceptualise and explore these, focusing on the potential impacts of perspective-taking on values, perceptions and affect. Our exploratory analysis is based on an extended literature review and (qualitative and quantitative) data from an economic experiment involving 205 farmers in the lower section of an Andean watershed. In the experiment, farmers decided on a donation that would support farmers upstream, who are relatively less well-off but have contributed to stable water provision downstream. Some participants were induced to engage in perspective-taking either through a video or a field visit before deciding on their donation. We elicited their reasons for (not) donating and systematically analysed these. We show that perspective-taking fosters values (namely, outgroup solidarity and other-regarding preferences), perceptions (of closeness), and affect (compassion) among otherwise distant actors. Yet prosocial behaviour is only strongly associated with other-regarding preferences. Values, so far underexplored, thus emerge as a key pathway linking perspective-taking with prosocial behaviour. However, a comparison across experimental conditions suggests that this impact of perspective-taking arguably depends on the information medium, which shapes participants' assessments of both others' relative needs and the possibilities for helping. This value-based pathway, along with the specific impact of perspective-taking procedures, invites future research. |
| Keywords: | perspective-taking, values, prosocial behaviour, environmental governance |
| JEL: | D64 Q57 D91 H41 Q25 Q24 Q10 Q58 |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:esprep:344049 |
| By: | Coordinators:; Oswalt, Sonja N.; Bush, Renate; Murray, Lara T.; Walker, David |
| Abstract: | This publication provides authoritative updates to the Nation’s forest resource statistics reported in “Forest Resources of the United States, 2017” and the 2020 Resources Planning Act (RPA) Assessment using adapted Forest Inventory and Analysis data. Resource data tables present estimates of forest area, volume, mortality, growth, removals, timber products output, and more in various ways within the context of changes since 1953. Downloadable tables are available via the Research Data Archive at: https://doi. org/10.2737/WO-GTR-107-s1 |
| Keywords: | Land Economics/Use, Productivity Analysis, Research and Development/Tech Change/Emerging Technologies, Resource/Energy Economics and Policy |
| Date: | 2026–02 |
| URL: | https://d.repec.org/n?u=RePEc:ags:usdami:413140 |
| By: | Killian Baué (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CEC - Chaire Economie du Climat - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres); Marielle Brunette (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Philippe Delacote (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CEC - Chaire Economie du Climat - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres); Antonello Lobianco (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement) |
| Abstract: | Extreme weather events increasingly challenge forest ecosystems, requiring effective post-crisis interventions. Coping strategies for supply shocks in the forest sector typically rely either on temporal adjustments, such as storage to smooth supply disruptions, or on spatial reallocations, such as transport subsidies to redistribute supply. This study compares these two approaches by simulating crisis wood storage and transport subsidies following a large-scale windstorm affecting French forests. Using the French Forest Sector Model (FFSM), a bioeconomic partial equilibrium framework, we simulate sectoral and carbon sink responses across spatial and temporal scales, and develop a social welfare indicator integrating producer and consumer surplus, policy costs, and carbon externalities. Results reveal trade-offs. Storage stabilizes prices and keeps them higher, at the expense of producer and consumer surplus, but increases overall social welfare through better preservation of the forest carbon sink and greater spatial equity: it reduces transfers toward less affected regions and benefits more severely windstorm-impacted regions. Transport subsidies increase wood mobilization as well as producer and consumer surplus, but perform worse in terms of social welfare gains, and tend to favor regions spared by the windstorm at the expense of those that would need support the most. These contrasting regional patterns highlight how each policy redistributes the burden of the shock across territories, with storage promoting convergence and transport subsidies reinforcing pre-existing disparities. Trade-offs thus arise between market performance and carbon sink preservation, between spatial scales of intervention, and between short- and long-term temporal considerations, offering policy-relevant insights for future forest crisis management. |
| Keywords: | Climate change adaptation, Carbon assessment, Economic instruments, Forest management, Bioeconomic modelling, Forest multi-risk |
| Date: | 2026–09–28 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05774021 |
| By: | Simoens, Machteld Catharina (Institute for Political Science, RWTH Aachen University); Dabard, Caroline Hélène (Independent researcher); Friedrich, Jonathan (CIRCLE, Lund University); Garzon, Juan (Independent researcher); Zoll, Felix (Leibniz Centre for Agricultural Landscape Research (ZALF)) |
| Abstract: | This scoping literature review focuses on the operation and orientation of social innovations (SI) in agri-food systems in order to understand their role in sustainability transformations. It aims to analyse and synthesise the types of cases studied, their characteristics, how they form relations, the societal problems they respond to and their contributions to transformation processes. The review is based on 86 empirical English articles published in Scopus and Web of Science between 2013 and 2023, covering 168 empirical SI cases. The data reveal limited geographical variation and a Eurocentric focus in the study of SI, but diverse spatial and operational foci of SI cases. We identify seven SI types: community food networks, food equity initiatives, capacity-building programs, agri-cooperatives, social agri-enterprises, agri-environmental initiatives, and techdriven agri-services. These often localized solutions address different internal and external relations, aim to respond to a variety of societal needs and problems, and are rhetorically linked to transformations of various kinds. In addition to providing insights into key trends in the operation and orientation of SI, this analysis contributes to the discussion on the transformative potential of SI, including the ambivalent role of strong ties between SI and the state. Furthermore, this study identifies potential research avenues for the study of SI in agriculture and food. In particular, we call for reflexivity in researchers' normative assumptions, more rigorous reporting of relations and transformative contributions, and more systematic approaches to better integrate findings across SI cases as well as with adjacent concepts. |
| Keywords: | transformative change; transition; social enterprise; rural development; alternative food network; agri-food system |
| JEL: | O35 Q10 Q56 |
| Date: | 2026–09–25 |
| URL: | https://d.repec.org/n?u=RePEc:hhs:lucirc:2025_003 |
| By: | Gonzalez Vazquez Ignacio (European Commission - JRC); Mariscal De Gante Martin Alvaro (European Commission - JRC); Lobeto Martin Manuel |
| Abstract: | This report provides a workplace-level study of the 'twin transition' in the agriculture sector, through an in-depth case study of SAMA 2.0, a satellite-based precision-agriculture platform for rice production in the Guadalquivir marshes (Seville, Spain), developed through a collaboration between the University of Seville, a private technology provider and the Federación de Arroceros de Sevilla. Drawing on eight semi-structured interviews and contextualised with EU-wide worker-survey data, it depicts a sector where basic digital tools are now generalised but advanced, sector-specific technologies remain incipient. The clearest synergy runs from greening to digitalisation: producers' voluntary move to integrated production drove a cumulative digitisation of administrative work. The converse effect—precision farming reducing water, fertiliser and pesticide use—is promising but, given the tool's early adoption phase, remains to be demonstrated. A collaborative governance model linking researchers, producers and public funding emerges as the key enabling factor. |
| Date: | 2026–09 |
| URL: | https://d.repec.org/n?u=RePEc:ipt:laedte:202610 |
| By: | Adrien Bilal; Diego R. Känzig; Krzysztof Lisiecki |
| Abstract: | This paper documents large indirect mortality impacts of climate change. Exploiting natural global temperature variability, we find that 1°C of warming increases annual mortality by 2.5 deaths per 1, 000 individuals, compared to 0.1 deaths per 1, 000 due to the associated local heat exposure. Using external estimates of the impact of global income on mortality, we show that the macroeconomic effects of global temperature changes explain two thirds of the gap between these estimates. We use this evidence to estimate damage functions in a neoclassical growth model that links mortality and economic activity and accounts for adaptation to mortality impacts. Mortality contributes $400 per ton of CO₂ to the Social Cost of Carbon, or one quarter of total climate damages. These results suggest that economic adaptation has a double dividend by also reducing climate-related mortality. |
| JEL: | E01 I15 O44 Q51 Q54 Q58 |
| Date: | 2026–09 |
| URL: | https://d.repec.org/n?u=RePEc:nbr:nberwo:35832 |
| By: | Yifei Zhang; Andrew Keller; Shawn Arita; Sandro Steinbach |
| Abstract: | Publicly subsidized insurance programs can create incentives for subsidy capture when insured products closely resemble privately traded financial instruments. Livestock Risk Protection (LRP) is one such case because it provides price insurance through a contract that closely resembles an exchange-traded put option. Using LRP endorsement records and matched CME options data for 2020–2025, we document that endorsement activity clusters around CME option expiration dates, especially for feeder cattle and lean hogs. Because producer-level derivatives positions are unobserved, however, timing patterns alone cannot identify subsidy capture. We therefore simulate returns to combined LRP-CME strategies using observed contract terms, option prices, and trading frictions, including bid-ask spreads, margin requirements, and financing costs. We find that the subsidy-created premium wedge is observable at purchase, but realized gains are small, commodity-specific, and concentrated in low-volatility environments where realized volatility falls below implied volatility. Even in those favorable cases, combined strategies substantially worsen downside outcomes relative to holding LRP alone. Additional evidence shows that clustering persists across volatility regimes and after the 2025 revisions to the LRP Handbook, suggesting that observed timing patterns may reflect contract alignment and routine hedging practices, instead of widespread economically meaningful subsidy capture. |
| JEL: | G22 Q14 Q18 |
| Date: | 2026–09 |
| URL: | https://d.repec.org/n?u=RePEc:nbr:nberwo:35819 |
| By: | Suzon Garnier (ASTRO - Agrosystèmes tropicaux - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Célestine Guillou (ASTRO - Agrosystèmes tropicaux - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Lynda Aissani (UR OPAALE - Optimisation des procédés en Agriculture, Agroalimentaire et Environnement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Lisette Ibanez (CEE-M - Centre d'Economie de l'Environnement - Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier); Jean-Denis Mathias (UR LISC - Laboratoire d'ingénierie pour les systèmes complexes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Anne Tremier (UR OPAALE - Optimisation des procédés en Agriculture, Agroalimentaire et Environnement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Jean-Marc Blazy (ASTRO - Agrosystèmes tropicaux - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Carla Barlagne (ASTRO - Agrosystèmes tropicaux - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement) |
| Abstract: | Small island territories such as Guadeloupe face acute challenges in solid waste management and limited recycling of organic residues. Strengthening better household biowaste management is essential to advancing a circular bioeconomy and reducing waste management costs. Composting offers a locally adapted solution that can enhance soil quality, support domestic resource valorization, and divert organic waste from landfills. However, adoption remains limited by behavioural and infrastructural barriers. This study investigates the attitudinal and sociodemographic determinants shaping household biowaste sorting and composting practices in Guadeloupe. The research draws on the COM-B model, which conceptualises behaviour as the interaction of capability, opportunity, and motivation. It also uses the Behaviour Change Wheel to identify key behavioural drivers and design targeted interventions for home and community composting. A household survey (n = 241) was conducted, and behavioural determinants were analysed using binomial probit modelling, principal component analysis, and hierarchical cluster analysis. Results show that physical constraints, such as lack of space and psychological barriers, including perceived complexity and forgetfulness, are the most significant obstacles to composting. Environmental motivation alone is insufficient to induce behavioural change. Three household profiles were identified: indifferent households, motivated and practising households, and motivated but constrained households. Recommendations of targeted policy levers are proposed for each profile to better foster circularity in biowaste management. The study highlights the importance of integrating behavioural insights into circular bioeconomy policies. Differentiated strategies combining education, incentives, and infrastructural support can effectively enhance domestic composting and organic resource recovery in Guadeloupe. |
| Keywords: | Policies, Interventions, Typology, Guadeloupe, Behaviour Change Wheel, COM-B, Composting, Household biowaste |
| Date: | 2026–12 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05756516 |
| By: | Csaba Burger (Magyar Nemzeti Bank (Central Bank of Hungary)); Péter Szabó (Eötvös Loránd University); Rita Pongrácz (Eötvös Loránd University) |
| Abstract: | Climate change elevated the relevance of fire risk projections for the future, which are essential for estimating the potential changes to expected economic losses, including the changing risk exposure of banking assets and insurance policies. And while the use of empirical models is required to lend credibility to this undertaking, human-induced fires, particularly stubble (or crop residue) fires, distort the observed relationship between weather and fire risk. This paper presents an empirical-statistical model to estimate future fire risk using MODIS satellite data for fire occurrences, the Keetch-Byram Drought Index (KBDI) as weather-based input, and CORINE Land Cover information. The model is developed for Hungary at a 5 km resolution over the period 2001-2024. In addition, we account for the Human Factor (HF) in fire risk by introducing a Google Trends-based proxy reflecting legislation and public awareness of fire. Alternative definitions of this variable are also tested. Incorporating the HF mitigates omitted variable bias, improves the explanation of past fire occurrences, and reverses the overall KBDI-fire risk relationship to the expected positive sign. Under the pessimistic RCP8.5 scenario, current fire occurrence risk is projected to double by the end of the century, with a potential of reaching a fivefold increase in extreme years, assuming the present HF in fire prevention and land cover flammability remain constant. |
| Keywords: | climate change; fire risk; central banking; KBDI; causal graphs |
| JEL: | G21 G22 Q10 Q54 |
| Date: | 2026–06–01 |
| URL: | https://d.repec.org/n?u=RePEc:mnb:wpaper:2026/2 |
| By: | Feras Kaokash (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Marielle Brunette (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Stéphane Krebs (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement) |
| Abstract: | Between 2018 and 2021, an unprecedented crisis led to the destruction of 360 million cubic meters of spruce trees by the European spruce bark beetle in Central Europe, with France also being severely affected (Grand Est, Bourgogne-Franche-Comté, Auvergne-Rhône-Alpes, Normandy). Climate change, through an increase in droughts and heat waves, acts as a dual factor by weakening the trees' defenses and accelerating the bark beetles' life cycle. This study presents an agent-based model developed in NetLogo that simulates these dynamics at the individual level (each tree and each bark beetle) on a spatial grid. The model incorporates local climate projections from 1850 to 2100 and links tree growth and vigor to phenology and the dynamics of cooperative insect attacks. The results show that individual rules allow for the emergence of complex large-scale dynamics; the model reproduces the spatial spread of bark beetle outbreaks from tree to tree. Furthermore, without calibration, the model successfully simulates a population peak that coincides temporally with the actual crisis observed in Europe. Designed as an interdisciplinary bridge between ecology, economics, and decision support (as part of the X-RISKS project), this model is currently being enhanced to incorporate a "manager" agent that simulates human decision-making and a detailed water balance. |
| Abstract: | Entre 2018 et 2021, une crise sans précédent a entraîné la destruction de 360 millions de mètres cubes d'épicéas par le scolyte typographe en Europe centrale, touchant également fortement la France (Grand Est, Bourgogne-Franche-Comté, Auvergne-Rhône-Alpes, Normandie). Le changement climatique, par la multiplication des sécheresses et des épisodes de chaleur, agit comme un double facteur en affaiblissant les capacités de défense des arbres et en accélérant le cycle de développement des scolytes. Ce travail présente un modèle à base d'agents développé sous NetLogo qui simule cette dynamique à l'échelle de l'individu (chaque arbre et chaque scolyte), sur une grille spatiale. Le modèle intègre des projections climatiques locales de 1850 à 2100, et met en relation la croissance et la vigueur des arbres avec la phénologie et la dynamique d'attaque coopérative des insectes. Les résultats montrent que les règles individuelles permettent l'émergence de dynamiques complexes à grande échelle, le modèle reproduit la propagation spatiale des foyers de scolytes d'arbre en arbre. De plus, de manière non calibrée, le modèle parvient à simuler un pic de population qui coïncide temporellement avec la crise réelle observée en Europe. Pensé comme un pont interdisciplinaire entre l'écologie, l'économie et l'aide à la décision (dans le cadre du projet X-RISKS), ce modèle est en cours d'enrichissement pour intégrer un agent "gestionnaire" simulant la décision humaine et un bilan hydrique fin. |
| Keywords: | Spruce, Ips typographus, Bark beetle, Water balance, Drought, Climate change, Agent-based model, ABM, NetLogo, Forest, Crisis, Scolyte, Ips typographe, Épicéa, Crise, Forêt, Modèle à base d'agents, Simulation spatiale, Changement climatique, Sécheresse, Bilan hydrique |
| Date: | 2026–09–28 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05774023 |
| By: | Antoine Nebout (UMR PSAE - Paris-Saclay Applied Economics - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Noémi Berlin (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique); Emmanuel Kemel (HEC Paris - Ecole des Hautes Etudes Commerciales); Emmanuel Paroissien (UMR PSAE - Paris-Saclay Applied Economics - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement) |
| Abstract: | This paper explores the relationships between overall diet quality and attitudes toward risk and time using a general population survey. We combine a food frequency questionnaire and a choice-based preference module to elicit individual risk and time preferences. The online questionnaire was administered to a socioeconomic panel representative of the French population. We show that risk and time preferences are associated with individual heterogeneity in key aspects of diet quality, a result that holds across a wide range of robustness checks. Using a hierarchical Bayes framework, we jointly estimate individual risk aversion and impatience parameters and show that associations hold for both model-free and structural estimates of risk and time preferences. We further show that these associations account for a substantial share of the heterogeneity in dietary outcomes beyond sociodemographic controls. Risk and time preferences contribute to both the income–diet-quality and education–diet-quality gradients, but in opposite directions, resulting in a limited net contribution to explaining socioeconomic inequalities in diet quality. |
| Abstract: | Cet article explore les relations entre la qualité globale de l'alimentation et les attitudes face au risque et au temps à partir d'une enquête menée auprès de la population générale. Nous combinons un questionnaire sur la fréquence alimentaire et un module de préférences basé sur les choix afin de déterminer les préférences individuelles en matière de risque et de temps. Le questionnaire en ligne a été administré à un panel socio-économique représentatif de la population française. Nous montrons que les préférences en matière de risque et de temps sont associées à l'hétérogénéité individuelle concernant des aspects clés de la qualité de l'alimentation, un résultat qui se confirme à travers un large éventail de tests de robustesse. À l'aide d'un cadre bayésien hiérarchique, nous estimons conjointement les paramètres individuels d'aversion au risque et d'impatience, et démontrons que ces associations se vérifient tant pour les estimations sans modèle que pour les estimations structurelles des préférences en matière de risque et de temps. |
| Keywords: | Nutritional inequality, Time preference |
| Date: | 2026–12 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05762319 |
| By: | Enang, Imowo; Omeihe, Kingsley Obi |
| Abstract: | This study employs systematic and meta-analysis methodologies to examine how sustainability factors are integrated within project management frameworks and to evaluate their impact on project success outcomes across diverse organisational contexts. Following rigorous PRISMA guidelines, an extensive literature search yielded 25 studies investigating environmental and social sustainability integration in project processes and their relationship to performance indicators across multiple sectors. Complementary meta-analysis of 22 papers containing statistical datasets on sustainability adoption levels and associated success measures provided quantitative validation of key relationships. The research concludes that while sustainability integration approaches have made significant progress in addressing explicit organisational gaps, enhanced participatory oversight mechanisms, a fundamental shift to participative feedback loops, and holistic integration of technical, social, and contextual dimensions remain crucial for maximizing impacts. The implications emphasise the importance of interdisciplinary collaboration, adaptive learning systems, and inclusive decision-making processes that prioritize stakeholder engagement throughout project lifecycles. Future research should focus on developing comprehensive evaluation frameworks, exploring emerging sustainability concepts, and establishing governance models that foster transparency and shared decision making power. |
| Keywords: | sustainability; project outcomes |
| Date: | 2025–04–01 |
| URL: | https://d.repec.org/n?u=RePEc:gpe:wpaper:54466 |
| By: | Hoos, Max (Department of Environmental Social Sciences, Eawag: Swiss Federal Institute for Aquatic Science and Technology); Truffer, Bernhard (Department of Environmental Social Sciences, Eawag: Swiss Federal Institute for Aquatic Science and Technology); Hoekman, Jarno (Copernicus Institute of Sustainable Development, Faculty of Geosciences, Utrecht University) |
| Abstract: | Arguing against techno-determinism remains one of the cornerstones of innovation studies. Scholars have relentlessly shown how social conditions and strategic choices determine the pace and direction of technological development, supporting the idea that innovation can be steered towards societal goals such as economic competitiveness, employment or sustainability. Most scholarly attention, however, focused on the processes that generate new varieties of products and technologies, while the selection environment determining their direction is left largely unspecified. In this paper, we draw on insights from economic sociology to propose a conceptual framework for unpacking key structures and mechanisms of the selection environment through which societal values act upon technology development during periods of normative contestation. Central to our approach is the concept of valuation devices, understood as the organizational forms and material infrastructures embedded in institutional arrangements through which values are attributed to technologies and products. Beyond identifying these devices as strategic vehicles for actors to steer technology development, we show how they conjointly constitute a valuation ecosystem that shapes the directionality of a field. This framework is applied to the European food packaging sector, where proliferating health and environmental concerns have spurred a range of technological trajectories characterised by diverging strategies and goals. We retrace how actors advance distinct valuation devices to address evolving concerns about food packaging, and how the emerging valuation ecosystem shapes directionality by structuring corridors of legitimate innovation pathways. The paper concludes that deeper conceptual engagement with the selection environment opens promising new research perspectives for innovation studies. |
| Keywords: | Directionality; Valuation; Selection environment; Innovation pathways |
| JEL: | L50 L65 O31 O33 Z13 |
| Date: | 2026–09–25 |
| URL: | https://d.repec.org/n?u=RePEc:hhs:lucirc:2025_011 |
| By: | Brauw, Alan de; Uddin, Mohammad Riad; Wagner, Julia |
| Abstract: | The Char Development and Settlement Project (CDSP-IV), implemented between 2011 and 2024 (originally scheduled for completion in 2018), was designed to reduce poverty and hunger among the population living on newly accreted coastal chars, through improved and more secure sources of livelihoods. The project adopted a comprehensive package of interventions. Key activities included investments in embankments, dykes, drainage systems and social forestry to reduce erosion and protect against storms; construction of roads, markets, cyclone shelters, and water and sanitation facilities to enhance connectivity and resilience; land settlement and titling to secure household land rights; livelihood support through agricultural training, microfinance and non-farm income generation; and institutional development to strengthen local water management groups, farmer forums and social forestry groups. This impact assessment of CDSP-IV was conducted between December 2024 and February 2025 using a quantitative approach that combined household and community-level surveys. |
| Keywords: | Community/Rural/Urban Development |
| Date: | 2025–09–11 |
| URL: | https://d.repec.org/n?u=RePEc:ags:unadia:413141 |
| By: | Arnaud Natal (IFP - Institut Français de Pondichéry - MEAE - Ministère de l'Europe et des Affaires étrangères - CNRS - Centre National de la Recherche Scientifique, BSE - Bordeaux Sciences Economiques - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique, UB - Université de Bordeaux); Christophe Jalil Nordman (IRD [Ile-de-France] - Institut de Recherche pour le Développement, LEDA-DIAL - Développement, Institutions et Mondialisation - LEDa - Laboratoire d'Economie de Dauphine - IRD - Institut de Recherche pour le Développement - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique, IFP - Institut Français de Pondichéry - MEAE - Ministère de l'Europe et des Affaires étrangères - CNRS - Centre National de la Recherche Scientifique) |
| Abstract: | Since the early 2000s, alongside the growing quantitative turn in economics, new data collection instruments have emerged in the tradition of village studies -namely, integrated small-scale surveys. This article conceptualises these types of surveys. Integrated small-scale surveys combine detailed, longitudinal, and multi-level data collection. They capture the complexity of rural dynamics while maintaining methodological flexibility and contextual depth. Drawing on six case studies in Asia and Africa, this article illustrates how these surveys enrich development research with granular and multidimensional information. Despite their advantages, they face persistent challenges in terms of data representativeness, longitudinal management, technical complexity, and promotion and openness to the community. The article calls for greater recognition of these surveys as key tools for understanding rural transformation in Southern countries. |
| Keywords: | livelihoods, rural development, micro-level data, Village studies |
| Date: | 2027–04 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05575021 |
| By: | Stefano Blando |
| Abstract: | Before a flood, governments decide where to invest in protection; after it, how much of the loss to compensate. The European Union informs the first decision with a composite index that ranks every subnational unit by vulnerability. This paper tests the ranking by comparing Italian provinces struck by the same flood between 2005 and 2024. The published index does not order provinces by the losses they suffer, with or without controls for hazard, exposure and income ($\rho$ between -0.06 and 0.09). The failure lies in what it weights. As published, the index mostly measures economic development, while losses follow water: they arrive in recurring groups of provinces that share a river basin, and more than half of the ranking error lies between those groups. In a pre-registered test that rebuilds it and eight rivals at every forecast origin from 2010 to 2020, the index comes last on both questions an allocator asks. On where damage will land, its top ten provinces capture 16 per cent of later damage, less than a random draw; Italy's public flood hazard map, blind to losses, captures 44. On who loses more from the same water, its rank correlation with later losses is 0.03; its own components, reweighted on past losses, reach 0.42. Neither repair needs new data. The misranked loss is paid locally. Of EUR 12.3 billion recorded over 2013-2022, 85 per cent was not covered by national transfers, and prevention funding, scored the same way, does no better than chance. Because correlated losses cluster within borders, national pools in Europe need 39 per cent more reserve than cross-border pools of the same size. The index fails the same way across 1, 142 European units, where the repairs are weaker. |
| Date: | 2026–09 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2609.36349 |
| By: | Steve Coffey; Gabriel Ehrlich; John C. Haltiwanger; Ron S. Jarmin; David Johnson; Tod Johnson; Matthew D. Shapiro |
| Abstract: | This paper presents early results from the RESET Demonstration Project, an initiative that constructs price and sales indices using item-level transactions data. The project’s overarching goal is to demonstrate the feasibility and advantages of leveraging modern transactions data for economic measurement by pointing toward a future in which official economic statistics are rebuilt on 21st-century data and technology. The paper introduces new inflation measures for Food at Home and evaluates them on two fronts: how they compare to current official statistics and what they offer as novel measures that capture more accurately the dynamics of consumer choice. The paper also addresses the challenges of producing reliable and credible official statistics from item-level transactions data and reports findings on recent Food at Home inflation trends. |
| JEL: | C80 E30 |
| Date: | 2026–09 |
| URL: | https://d.repec.org/n?u=RePEc:nbr:nberwo:35817 |
| By: | Schneider Kevin (European Commission - JRC); Klinnert Ana (European Commission - JRC) |
| Abstract: | This report documents the Environmental Master Tables (ENVMAT) framework, a comprehensive data integration system linking heterogeneous environmental datasets with microeconomic data from the Farm Accountancy Data Network (FADN) based on geolocations. The framework addresses fundamental data interoperability challenges: temporal misalignment between high-frequency environmental observations and annual economic reporting, spatial mismatch between gridded environmental data and point-based observations, and heterogeneity across environmental data sources. We integrate high-resolution climate reanalysis data (AgERA5), soil moisture data (GLEAM), and soil property maps (ESDAC) with approximately 900, 000 FADN observations from 2011 to 2021. A three-phase modular workflow performs dataset-specific processing, multi-scale spatial integration via zonal summary statistics, and produces temporally aligned master tables with optional imputation of missing values. The resulting database provides approximately 10, 000 environmental variables capturing temporal dynamics and spatial heterogeneity across point, 5km radius buffer, and NUTS3 integrations. The framework establishes a reproducible template for environmental-economic data integration at scale, supporting a broad range of applications in policy analysis and environmental economic research. |
| Date: | 2026–09 |
| URL: | https://d.repec.org/n?u=RePEc:ipt:iptwpa:jrc145995 |