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on Agricultural Economics |
| By: | Ayettey, Gideon; Goyal, Raghav |
| Keywords: | Agricultural Finance, Farm Management |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360692 |
| By: | Lettu, Sandra |
| Keywords: | Risk and Uncertainty |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360708 |
| By: | McFadden, Jonathan; Raff, Zach |
| Abstract: | Modern precision dairy farming, including a wide array of sensors, data analytics, and automation technologies, help operators implement cow level—rather than herd level—management practices. Use of one or more of these technologies can reduce average costs and increase milk yields per cow. USDAʼs Agricultural Resource Management Surveys show that U.S. adoption of precision dairy technologies increased steadily between 2000 and 2021. This report provides aggregate estimates using detailed data from a representative sample of U.S. dairy farms to understand the profitability impacts of adopting precision dairy technologies. We overview and classify precision dairy equipment into three sets of technologies (non-robotic milking, breeding, and data systems), as well as robotic milking, while documenting their increasing use relative to conventional technologies and the characteristics of operators and farms that use them. Building on this information, we develop a model to estimate the impacts of precision technologies on dairy profitability, controlling for farm size and infrastructure, demographics, high speed internet access, and other factors. This analysis is the first to quantify how the adoption of more than one class of precision dairy technologies, including robotic milking, affects dairy net returns. |
| Keywords: | Agricultural and Food Policy, Dairy Farming, Farm Management, Financial Economics, Labor and Human Capital, Production Economics, Research and Development/Tech Change/Emerging Technologies, Research Research Methods/Statistical Methods |
| Date: | 2026–01 |
| URL: | https://d.repec.org/n?u=RePEc:ags:uersrr:388984 |
| By: | Zhang, Yuanyuan |
| Keywords: | Agricultural and Food Policy |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360666 |
| By: | Lu, Hanjun; Rejesus, Roderick M. |
| Keywords: | Agricultural and Food Policy |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360659 |
| By: | Nelson, Henry |
| Keywords: | Agricultural and Food Policy |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360656 |
| By: | Ben Youssef, Slim |
| Abstract: | We evaluate the impact of gross domestic product per capita (GDPC), the value of agricultural production (VAP), and the value of agricultural production per hectare (VAPH) on the forest area in Brazil by considering annual time series data ranging from 1990 to 2022. The autoregressive distributed lag approach is used to estimate our long-run elasticities. The increase in the value of agricultural production reduces forest area in the long-run. However, the value of agricultural production per hectare and the gross domestic product per capita both have a U-shaped relationship with forest area. Indeed, with an increase in the VAPH (resp. GDPC), forest area decreases, then after a threshold point begins to increase. In Brazil, deforestation can be reversed by continuous economic growth accompanied by more propagation of environmental education within the population. Also, agricultural green technologies, as aeroponics for vegetable culture or smart agriculture, should be encouraged through subsidies or advantageous credits, as they increase the VAPH. |
| Keywords: | Value of agricultural production; Value of agricultural production per hectare; Gross domestic product per capita; U-shaped hypothesis; Autoregressive distributed lag; Brazil. |
| JEL: | C32 O44 O54 Q15 |
| Date: | 2025–12–01 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:127216 |
| By: | Lukas Vashold; Gustav Pirich; Maximilian Heinze; Nikolas Kuschnig |
| Abstract: | Mining operations in Africa are expanding rapidly, creating negative externalities that remain poorly understood. In this paper, we provide causal evidence for the impact of water pollution from mines on downstream vegetation and agriculture across the continent. We exploit discontinuities in water pollution caused by mines along river networks to compare vegetation health upstream and downstream. We find that mines significantly reduce peak vegetation downstream, impairing the productivity of croplands. These effects correspond to substantial crop losses and highlight the environmental and agricultural externalities of mining activity. |
| Keywords: | mining, agriculture, water pollution, vegetation, externality, natural resources |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:msh:ebswps:2025-9 |
| By: | Su, Yang; Yu, Jialing |
| Keywords: | Institutional and Behavioral Economics |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360718 |
| By: | Dong, Qi |
| Keywords: | Agribusiness |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360626 |
| By: | Hadda, kilani; Mohamed, Ben AMAR |
| Abstract: | This study investigates the dynamic relationships between agricultural productivity, green energy adoption, governance quality, and environmental degradation in BRICS economies over the period 2002–2023. Using a Pooled Mean Group Autoregressive Distributed Lag (PMG-ARDL) approach, complemented by FMOLS and CCR robustness estimators, the results show that agricultural productivity significantly increases long-run environmental pollution, reflecting the environmental cost of agricultural intensification. In contrast, green energy adoption and governance quality exert strong and consistent pollution-mitigating effects, underscoring their central role in promoting environmental sustainability. Overall, the findings emphasize that long-run structural factors dominate environmental outcomes in emerging agricultural economies. The study provides policy-relevant insights for advancing low-carbon and sustainable agricultural development in BRICS countries. |
| Keywords: | Environmental pollution- Agricultural productivity- - Green innovation- PMG -BRICS |
| JEL: | Q18 Q28 Q47 |
| Date: | 2025–10–14 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:127353 |
| By: | Leonardo Viotti; Luis Diego Herrera; Garo Batmanian; Franck Berthe; Rachael Kramp |
| Abstract: | Diseases originating from wildlife pose a significant threat to global health, causing human and economic losses each year. The transmission of disease from animals to humans occurs at the interface between humans, livestock, and wildlife reservoirs, influenced by abiotic factors and ecological mechanisms. Although evidence suggests that intact ecosystems can reduce transmission, disease prevention has largely been neglected in conservation efforts and remains underfunded compared to mitigation. A major constraint is the lack of reliable, spatially explicit information to guide efforts effectively. Given the increasing rate of new disease emergence, accelerated by climate change and biodiversity loss, identifying priority areas for mitigating the risk of disease transmission is more crucial than ever. We present new high-resolution (1 km) maps of priority areas for targeted ecological countermeasures aimed at reducing the likelihood of zoonotic spillover, along with a methodology adaptable to local contexts. Our study compiles data on well-documented risk factors, protection status, forest restoration potential, and opportunity cost of the land to map areas with high potential for cost-effective interventions. We identify low-cost priority areas across 50 countries, including 277, 000 km2 where environmental restoration could mitigate the risk of zoonotic spillover and 198, 000 km2 where preventing deforestation could do the same, 95% of which are not currently under protection. The resulting layers, covering tropical regions globally, are freely available alongside an interactive no-code platform that allows users to adjust parameters and identify priority areas at multiple scales. Ecological countermeasures can be a cost-effective strategy for reducing the emergence of new pathogens; however, our study highlights the extent to which current conservation efforts fall short of this goal. |
| Date: | 2026–01 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2601.13349 |
| By: | Taheripour, Farzad; Wolf, Rayan |
| Keywords: | Agricultural and Food Policy |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360655 |
| By: | De Marchi, Elisa |
| Keywords: | Institutional and Behavioral Economics |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360713 |
| By: | Turner, Dylan |
| Abstract: | The One Big Beautiful Bill Act (OBBBA) permits the first net expansion of base acres since 2002. This paper estimates the magnitude and distribution of additional base acres under OBBBA using USDA Farm Service Agency crop acreage data. Under the main scenario incorporating recent Federal Register implementation guidance, approximately 39.9 million acres would be eligible for addition, which would be prorated down to the 30 million acre statutory cap. Corn receives the largest allocation (10.2 million acres), followed by soybeans (8.3 million) and wheat (7.1 million). North Dakota, Texas, Minnesota, South Dakota, and Missouri lead among states. Using estimated 2025 crop year payment rates, these additional base acres could generate hundreds of millions of dollars in additional ARC/PLC payments, with corn alone valued at approximately $414–634 million. Estimation of alternative scenarios reveals that estimates are particularly sensitive to the treatment of forage crops; excluding forage from eligible non-covered commodities reduces estimated additional base acres from 30 million to 18.6 million. Under the assumption that the main scenario is representative of how the update will be implemented, this suggests additional base acres will be concentrated in areas with high forage crop production. |
| Keywords: | Agricultural and Food Policy, Agricultural Finance, Farm Management |
| Date: | 2026–01–27 |
| URL: | https://d.repec.org/n?u=RePEc:ags:arpcwp:388986 |
| By: | Mull, Daniel |
| Keywords: | Agricultural Finance, Farm Management |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360686 |
| By: | Wang, Yuhan |
| Keywords: | Agricultural and Food Policy |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360660 |
| By: | Stevens, Andrew |
| Keywords: | Agricultural and Food Policy |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360632 |
| By: | Chatellier, Vincent |
| Abstract: | Global trade in animal products, excluding trade between European Union (EU) Member States, has increased significantly over the past two decades, reaching € 226 billion in 2023. This represents approximately 17% of total agricultural and agri-food trade. With a trade surplus of nearly € 50 billion in 2024, the EU has the largest trade surplus in animal products in the world. Despite the implementation of several free trade agreements, the EU’s trade balance has improved considerably over the past twenty years, in particular due to dairy products and pork. While trade agreements with the United Kingdom and Canada have been beneficial for European trade, more restrictive measures were introduced in 2025 with respect to Ukraine to curb the substantial rise in exports (notably poultry) since the outbreak of the war. |
| Keywords: | International Relations/Trade, Livestock Production/Industries |
| Date: | 2026–01–23 |
| URL: | https://d.repec.org/n?u=RePEc:ags:inrasl:388971 |
| By: | Zebiao Li; Xueying Wu; Chengyi Tu |
| Abstract: | The global food system has metamorphosed from a loose aggregation of bilateral exchanges into a highly intricate, interdependent Global Food Trade Network (FTN). This comprehensive review synthesizes the extant literature to examine the FTN through the rigorous lens of complex network science, moving beyond traditional economic trade models to quantify the system's topological architecture. We delineate the network's historical transition from a unipolar, efficiency-driven system dominated by Western hegemony to a multipolar, regionalized structure characterized by high clustering and scale-free heterogeneity. Special emphasis is placed on the dual nature of connectivity, which functions simultaneously as a buffer against local production variances and a conduit for global contagion. By conceptualizing the FTN as a multiplex system-distinguishing between the robust topology of wheat, the brittle regionalism of rice, and the polarized "dumbbell" structure of soy-we elucidate the distinct structural vulnerabilities inherent in modern food security. Furthermore, we analyze the impact of recent high-magnitude shocks, specifically the COVID-19 pandemic and the Russia-Ukraine conflict, illustrating the critical trade-off between logistical efficiency and systemic resilience. The review concludes by assessing the future trajectory of the network under anthropogenic climate change, predicting a poleward migration of comparative advantage that necessitates a paradigm shift from isolationist protectionism to cooperative network redundancy. |
| Date: | 2026–01 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2601.12710 |
| By: | Ganapathi, Hamsa |
| Keywords: | Research Methods/Statistical Methods |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361108 |
| By: | Thais Diniz Oliveira (Food Systems and Global Change, College of Agriculture and Life Science, Cornell University, Ithaca, NY, USA); Paula Pereda (Dept. of Economics, University of São Paulo, São Paulo, Brazil); Ademir Rocha (Dept. of Economics, Federal University of Amazonas, Manaus, Brazil); Samuel Bicego (Dept. of Economics, University of São Paulo, São Paulo, Brazil); Ana Clara Duran (NEPA, University of Campinas (UNICAMP), Campinas, Brazil) |
| Abstract: | Carbon footprints have emerged as a key measure of anthropogenic pressure on the environment and are crucial for designing mitigation policies. However, obtaining an accurate assessment of these footprints requires accounting for the full range of emission sources and the regional variability embedded in production and consumption chains. To address these important issues, we quantify the carbon footprints of Brazilian households by combining multiple datasets and methodologies. We account for all major emission sources in Brazil (land-use change, agriculture and livestock, energy, industry, and waste) using a state-level multi-regional input–output (MRIO) framework integrated with household consumption microdata. Our analysis reveals that food, housing, and transport are the dominant drivers of per capita emissions among Brazilian households, with beef and dairy products emerging as key contributors within food consumption. Emissions increase sharply with income, shifting from food-related emissions in lower-income households to transport, housing, and services in wealthier ones. These results highlight the need for integrated climate policies that account for the full spectrum of emission sources while addressing regional disparities and income-related heterogeneity in emissions patterns. |
| Keywords: | Carbon footprints; Brazil; Region-specific; Emissions sources; Sustainability; Multi-regional input-output (MRIO) |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:ris:nereus:022143 |
| By: | Bachev, Hrabrin |
| Abstract: | There has been a fundamental modernization of the wastewater management system in Bulgaria during the EU pre-accession and membership periods. The transition toward sustainable management of wastewaters has been associated with the modern disposal of generated sludge from wastewater treatment plants and the increasing agricultural utilization of this material. The agricultural utilization wastewater management chain emerged and gradually extended as the amount of produced sludge increased and its share was effectively utilized in agriculture. This paper analyses the evolution and challenges of agricultural inclusion in sustainable wastewater management in Bulgaria. It is based on the incorporation of the interdisciplinary New Institutional Economics methodology, official data, and numerous in-depth interviews with representatives of the wastewater treatment plants, responsible authorities, farmers participating and not involved in sludge utilization, and other related agents. The study has found that there has been a significant modernization of the formal institutional environment (rules, regulations, standards, agencies) and incentive structure for agricultural sludge production, transportation, and utilization in recent years. Nevertheless, the potential for inclusion of agriculture in water treatment plants’ sludge utilization has not been entirely used, and the policy target in the area has not been effectively reached. The main impediments for the later arethe significant transition and compliance costs for related agents, inadequate public information, training, and support, environmental and health risks, opposition of landowners, businesses, eco-groups and residents, and uncertain directions of policy development. In the future following actions are needed to promote agricultural use of sludge: clearer policies for wastewaters management, waste disposals and agricultural sludge utilization, including development of a national strategy for sludge management; better enforcement of formal regulations and quality standards in agricultural utilization wastewaters management chain; introducing measures to reduce institutionally determined (production and transaction) costs for agents; support specialized training, information and independents assessment on agricultural sludge utilization; use CAP and other EU instruments to support agents’ efforts to adapt to formal requirements and extend sustainable treatment, disposal, transportation, agricultural utilization and commercialization of sludge. |
| Keywords: | wastewaters, sludge, management, agricultural utilisation, Bulgaria |
| JEL: | Q10 Q12 Q13 Q15 Q16 Q18 Q5 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:127457 |
| By: | Karagulle, Yunus Emre; Grant, Jason H. |
| Keywords: | International Relations/Trade |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361053 |
| By: | Okunola, Akinbode |
| Keywords: | Production Economics |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361084 |
| By: | Hejazi, Mina |
| Keywords: | Food Consumption/Nutrition/Food Safety |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361154 |
| By: | Bista, Bishal |
| Keywords: | Agricultural and Food Policy |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360663 |
| By: | Jo, Jungkeon |
| Keywords: | Agricultural and Food Policy |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360650 |
| By: | Kim, Yunjin; lfft, Jennifer |
| Keywords: | Agricultural Finance, Farm Management |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360693 |
| By: | Das, Abhipsita; Cuffey, Joel |
| Keywords: | Food Consumption/Nutrition/Food Safety |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360921 |
| By: | Denis Krylov (Bank of Russia, Russian Federation) |
| Abstract: | Movements in food prices have a major input in consumer price index and, thus, a significant impact on the living standards. Given the increased volatility of world food prices, it is essential that we understand the impact of this external driver of inflation on domestic price trends in order to produce a more accurate forecast of inflation and conduct a more efficient monetary policy. This work presents a VARX model applied to data from 2003 to 2021. Statistically significant impact of world food prices on domestic consumer and producer food prices in Russia was observed in 2003-2014, both at nation level and across its regions. After 2014, when there was a transition to a floating exchange rate, inflation targeting policy, accelerated development of import-substituting agricultural production and the Russian government employment of a more active trade policy in agriculture and food products, the average pass- through effect declined materially and is no longer statistically significant. The overall pass-through effect is greater in the case of rising world prices compared to decreasing world prices, while no statistically significant differences are found among regions. Meanwhile, the pass-through effect of world food prices on internal producer prices exhibits a significant regional heterogeneity. |
| Keywords: | world food prices, pass-through effect, Russian regions, consumer prices, producer prices, vector autoregression |
| JEL: | C32 E31 F42 R11 |
| Date: | 2024–02 |
| URL: | https://d.repec.org/n?u=RePEc:bkr:wpaper:wps126 |
| By: | Yu, Jian |
| Keywords: | Food Consumption/Nutrition/Food Safety |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360912 |
| By: | Kim, Yunjin; lfft, Jennifer |
| Keywords: | Agricultural and Food Policy |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360667 |
| By: | Chen, Danhong; Rahi, Berna |
| Keywords: | Teaching/Communication/Extension/Profession |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361136 |
| By: | Ollinger, Michael; Lim, Kar Ho |
| Keywords: | Food Consumption/Nutrition/Food Safety |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360915 |
| By: | Liao, Yanjun (Penny) (Resources for the Future); Wibbenmeyer, Matthew (Resources for the Future); Drunkenmiller, Hannah; Iovanna, Richard; Thompson, Alexandra (Resources for the Future); Holmes, Brandon (Resources for the Future) |
| Abstract: | The Conservation Reserve Program (CRP), the nation’s largest working-lands conservation program, retires environmentally sensitive cropland in exchange for rental payments. While CRP’s ecological benefits are well documented, its socioeconomic effects on rural communities are less understood, though they are central to ongoing policy debates regarding the program’s future. This report provides a comprehensive national assessment of CRP’s impacts on property values over the period 2012–2022, and on rural business activity, employment, and migration from 2001 to 2022. The analysis yields several key insights.CRP generates modest but measurable gains in nearby residential property values. Using a repeat-sales hedonic framework and a data set of more than 12 million transactions, we find that increases in CRP enrollment near a home raise sale prices. A 10-hectare increase in CRP land within 1 km increases property values by about 0.5–0.7 percent. Tree-cover CRP generates the greatest gains, at roughly 2 percent for the same increment, likely reflecting salient aesthetic improvements, wildlife habitat restoration, and enhanced recreational amenities. Based on current CRP enrollments, these localized amenity gains add an estimated $3 billion to residential real estate nationwide, or roughly $60 million annually.CRP enrollment supports rural economic activity, particularly in agricultural and local service industries. Despite longstanding concerns that retiring cropland weakens rural economies, our analysis at the industry, county, and year levels finds that CRP is associated with small but consistently positive increases in rural employment and business activity. A 1, 000-acre increase in county CRP enrollment raises rural employment by roughly 0.06 percent per year over the first three years, with gains tapering off by year five. On average, this implies an additional 8 rural jobs per 1, 000 acres enrolled. Establishment counts show similar patterns. Effects are strongest within agriculture and closely related industries, but spillovers appear in retail, recreation, hospitality, and other local non-tradable sectors. These effects could be explained by stabilized farm income, land management labor needs, and amenity-driven recreation spending.CRP does not contribute to sustained rural depopulation. Using IRS county-level migration data, we find no evidence that CRP accelerates out-migration or long-term population loss. CRP enrollment is associated with a small, short-run reduction in net in-migration (less than one basis point), but this effect reverses within three years. Over a five-year period, the program’s net effect on migration is essentially zero. These results counter the perception that CRP exacerbates rural decline.Overall, the findings indicate that the CRP has supported rural communities while delivering substantial environmental benefits. In recent years, the program’s impacts on property values, local employment, and sectoral activity have been positive but moderate, and concerns about depopulation linked to land retirement are not supported by empirical evidence. From a policy perspective, the results suggest that the CRP can advance conservation objectives without harming rural economies. It is important to recognize that CRP spending primarily represents transfer payments to landowners, meaning that the observed external benefits to local communities constitute net social gains. As policymakers debate whether to pare down or strengthen the program, these results underscore the importance of considering its broader socioeconomic implications. They also highlight opportunities to align CRP design more closely with rural development goals. In particular, while tree cover tends to be more costly to establish and maintain than other cover types, it generates the most pronounced positive effects in both property and labor markets, suggesting that its relative benefits may justify its higher costs. |
| Date: | 2026–01–20 |
| URL: | https://d.repec.org/n?u=RePEc:rff:report:rp-26-02 |
| By: | Gilbert, Rachel |
| Keywords: | Food Consumption/Nutrition/Food Safety |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360907 |
| By: | Huynh, Cong Minh |
| Abstract: | This paper examines whether and how local governance quality shapes household economic resilience to climate shocks in Vietnam - one of the world’s most climate-vulnerable emerging economies. Combining nationally representative microdata from three rounds of the Vietnam Household Living Standards Survey (2018, 2020, 2022) with province-year indicators of disaster severity and governance performance (PAPI), we estimate a pooled ordinary least squares (OLS) and interaction model with two-way fixed effects at the province and year levels to identify the moderating role of governance in the climate shock–income relationship. The results show that climate shocks significantly reduce household per-capita income, but higher-quality provincial governance substantially attenuates these losses. Marginal effects indicate that in high-governance provinces, the income-dampening effect of shocks becomes negligible. Moreover, governance benefits are markedly larger for vulnerable groups, including poor, rural, and agricultural households, suggesting that institutional quality can be inherently pro-poor in climate-stressed contexts. These findings advance the resilience and governance literature by providing micro-level causal evidence from a developing country and highlight governance strengthening as a core policy lever for climate adaptation, equitable development, and inclusive growth. |
| Keywords: | Climate shocks; Governance quality; Household economic resilience; Vietnam |
| JEL: | O17 O18 O43 Q54 |
| Date: | 2025–12–12 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:127322 |
| By: | Wibbenmeyer, Matthew (Resources for the Future); Liao, Yanjun (Penny) (Resources for the Future); Drunkenmiller, Hannah; Iovanna, Richard |
| Abstract: | Conservation programs are often viewed as competing with local economic activity, yet they may also generate environmental amenities for nearby communities. We estimate how land enrolled in the Conservation Reserve Program (CRP)—the largest US payments-for-ecosystem-services program—affects residential property values. Using nationwide field-level CRP data from 2012–2022 linked to home transactions, we apply a repeat-sales hedonic framework to identify how changes in nearby CRP land influence transaction prices of the same properties. We find that CRP enrollment produces meaningful appreciation of home values: a 10-hectare increase in CRP land within 1, 000 meters raises home values by roughly 0.5 percent, with especially strong effects for land converted to tree cover. Placebo and robustness tests confirm that results are not driven by county-level economic trends or development pressure. Our estimates imply that CRP lands increase US residential property values by $48–68 million annually, highlighting local benefits beyond payments to participating landowners.Keywords: Payments for Ecosystem Services, Land Conservation, Environmental Amenities, Hedonic Pricing |
| Date: | 2026–01–20 |
| URL: | https://d.repec.org/n?u=RePEc:rff:dpaper:dp-26-02 |
| By: | Cho, Whoi; Wang, Tong |
| Keywords: | Teaching/Communication/Extension/Profession |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361135 |
| By: | Mele, Marco; Costantiello, Alberto; Anobile, Fabio; Leogrande, Angelo |
| Abstract: | This paper evaluates the structural, environmental, and climatic factors influencing carbon dioxide emissions from the building sector (CBE) in 27 European Union member states from 2005 to 2023. This analysis uses panel data from the World Bank and four econometric models—Random Effects, Fixed Effects, Dynamic Panel GMM, and Weighted Least Squares—coupled with machine learning and clustering to provide a robust analysis of emissions. The econometric models show that all models support a negative relationship between agriculture, forestry, and fishing value added (AFFV) and forest area (FRST), suggesting that a robust rural economy and substantial natural carbon sinks are accompanied by lower emissions in the building sector. On the other hand, water stress (WSTR), PM2.5 pollution, heating and cooling degree days, and nitrous oxide emissions (N2OP) are found to significantly, yet positively, affect CBE. Tests of diagnostic analyses support Fixed Effects and Weighted Least Squares models, whereas results from GMM models are limited by instrument validity violations. In machine learning analysis, K-Nearest Neighbors (KNN) models are found to be most diagnostic, with all performance metrics being improved, establishing a prominent role for coal electricity, water stress, agricultural intensities, and climatic factors. Subsequently, a solution with 10 clusters, selected using Bayesian Information Criteria and silhouettes, identified a set of environmental and economic characteristics based on differences between low- and high-emission groups. High-emitting groups result from agricultural intensification, pollution, and low energy efficiency, while low-emitting groups are associated with renewable energy, low pollution, and a favorable climate. This analysis, hence, presents a multifaceted assessment of building sector emissions, with climatic, structural, and energy transition patterns as driving factors for meeting decarbonization targets for the European Union. |
| Keywords: | Building-sector carbon emissions; Panel data econometrics; Machine learning prediction; Environmental and climatic drivers; Cluster analysis |
| JEL: | C3 C33 C38 Q41 Q54 Q56 |
| Date: | 2025–12–12 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:127321 |
| By: | Arpita Khanna (National University of Singapore); Minhaj Mahmud (Asian Development Bank); Nidhiya Menon (Brandeis University) |
| Abstract: | This study empirically investigates the impact of climate change on the incidence of noncommunicable diseases among older population in India. Using demographic and health surveys from 2019–2021 linked with georeferenced meteorological data at local levels, and a specification that controls for long-term local climate trends as well as individual and household characteristics, we show that unanticipated heat shocks have significant impacts on the prevalence of hypertension, high blood glucose levels, and overweight or obese status. The impact of heat shock on hypertension is somewhat more evident among urban, lower caste, and lower educated men, while the impact on glucose levels is more pronounced among the higher educated in urban settings. Body mass index is particularly sensitive to heat shocks in older rural women and individuals with higher education. Engagement in occupations more exposed to outdoor work (agriculture/manual) and lifestyle factors tied to wealth status are some explanatory mechanisms. |
| Keywords: | climate;temperature;older people;blood pressure;glucose level;BMI;India |
| JEL: | Q54 I12 J14 O13 |
| Date: | 2026–01–26 |
| URL: | https://d.repec.org/n?u=RePEc:ris:adbewp:022142 |
| By: | Ma, Yao |
| Keywords: | Industrial Organization, Demand and Price Analysis |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360977 |
| By: | Antoine Dechezleprêtre (CERNA i3 - Centre d'économie industrielle i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique); Adrien Fabre (CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École nationale des ponts et chaussées - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique, ETH Zürich - Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich]); Tobias Kruse (OCDE / OECD - Organisation de Coopération et de Développement Economiques = Organisation for Economic Co-operation and Development); Bluebery Planterose (EU Tax - EU Tax Observatory); Ana Sanchez Chico (OCDE / OECD - Organisation de Coopération et de Développement Economiques = Organisation for Economic Co-operation and Development); Stefanie Stantcheva (Department of Economics, Harvard University - Harvard University, NBER - National Bureau of Economic Research [New York] - NBER - The National Bureau of Economic Research, CEPR - Center for Economic Policy Research) |
| Abstract: | This paper explores global perceptions and understanding of climate change and policies, examining factors that influence support for climate action and the impact of different types of information. We conduct large-scale surveys with 40, 000 respondents from 20 countries, providing new international data on attitudes toward climate change and respondents' socioeconomic backgrounds and lifestyles. We identify three key perceptions affecting policy support: perceived effectiveness of policies in reducing emissions, their impact on low-income households, and their effect on respondents' households (self-interest). Educational videos clarifying policy mechanisms increase support for climate policies; those merely highlighting climate change's impacts do not. (JEL C83, D83, D91, Q54, Q58) |
| Keywords: | experiment, green energy, carbon tax, climate policies, Climate change |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05459604 |
| By: | Karwowski, Nicole |
| Keywords: | Food Security and Poverty |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361147 |
| By: | Timsina, Krishna P.; Acharya, Ram N. |
| Keywords: | International Relations/Trade |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361056 |
| By: | Du, Xiaodong |
| Keywords: | Risk and Uncertainty |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360701 |
| By: | Rizwan, Noormah |
| Keywords: | Environmental Economics and Policy |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360775 |
| By: | Huaide Chen; Hailiang Yang |
| Abstract: | We compiled the first high-frequency rice price panel for Taiwan from August 1945 to March 1947, during the transition from Japanese rule to China rule. Using regression models, we found that the pattern of rice price changes could be divided into four stages, each with distinct characteristics. Based on different stages, we combined the policies formulated by the Taiwan government at the time to demonstrate the correlation between rice prices and policies. The research results highlight the dominant role of policy systems in post-war food crises. |
| Date: | 2025–12 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2512.07492 |
| By: | Inam, Munib; Buck, Steven |
| Keywords: | Environmental Economics and Policy |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360795 |
| By: | Lin, Jessie |
| Keywords: | International Development |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361026 |
| By: | Akat, Shara; Dennis, Elliott |
| Keywords: | Marketing |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360857 |
| By: | Jones, Jordan W.; Wilson, Kaitlyn |
| Keywords: | Food Consumption/Nutrition/Food Safety |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360909 |
| By: | Rehm, Bodo |
| Keywords: | Marketing |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360865 |
| By: | Lin, Lin; Ortega, David L. |
| Keywords: | Agribusiness |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360618 |
| By: | Kedar, Vishnu |
| Keywords: | Marketing |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360831 |
| By: | Cai, Qingyin; Cakir, Metin |
| Keywords: | Industrial Organization, Demand and Price Analysis |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360972 |
| By: | Zhu, Junjian; Rutledge, Zachariah |
| Keywords: | International Relations/Trade |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361051 |
| By: | Le Wang; Boyuan Zhang |
| Abstract: | Forecasting agricultural markets remains a core challenge in business analytics, where nonlinear dynamics, structural breaks, and sparse data have historically limited the gains from increasingly complex econometric and machine learning models. As a result, a long-standing belief in the literature is that simple time-series methods often outperform more advanced alternatives. This paper provides the first systematic evidence that this belief no longer holds in the modern era of time-series foundation models (TSFMs). Using USDA ERS data from 1997-2025, we evaluate 17 forecasting approaches across four model classes, assessing monthly forecasting performance and benchmarking against Market Year Average (MYA) price predictions. This period spans multiple agricultural cycles, major policy changes, and major market disruptions, with substantial cross-commodity price volatility. Focusing on five state-of-the-art TSFMs, we show that zero-shot foundation models (with only historical prices and without any additional covariates) consistently outperform traditional time-series methods, machine learning models, and deep learning architectures trained from scratch. Among them, Time-MoE delivers the largest accuracy gains, improving forecasts by 45% (MAE) overall and by more than 50% for corn and soybeans relative to USDA benchmarks. These results point to a paradigm shift in agricultural forecasting: while earlier generations of advanced models struggled to surpass simple benchmarks, modern pre-trained foundation models achieve substantial and robust improvements, offering a scalable and powerful new framework for highstakes predictive analytics. |
| Date: | 2026–01 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2601.06371 |
| By: | Aomar Ibourk; Sana Hninou |
| Abstract: | This study investigates the impact of female agricultural cooperatives on women’s empowerment in Morocco, with a focus on the rural Marrakech-Safi region. The research evaluates the effectiveness of these cooperatives in enhancing women’s empowerment through economic opportunities, participatory governance, and leadership roles. The Global Empowerment Index (GEI) was adopted to measure empowerment across five key dimensions: personal decision-making, economic decision-making, household decision-making, freedom of mobility, and participation in community activities. A multilevel analysis was performed using data from 225 cooperative members, selected through a combination of convenience and purposive sampling. The findings reveal that cooperatives fostering leadership roles, economic opportunities, and participatory governance significantly enhance women’s autonomy and control over resources. However, persistent challenges such as limited market access and insufficient resources continue to hinder the full potential of these cooperatives. By examining the interplay between cooperative models and regional factors, this research offers actionable recommendations. These include improving access to training programs tailored to women in cooperatives, establishing mentorship initiatives to foster long-term empowerment and skill development, expanding targeted microcredit, investing in sustainable infrastructure, and promoting digital integration for direct market access. Nevertheless, the study’s regional scope and reliance on cross-sectional data represent limitations, underscoring the need for future research to explore diverse contexts and longitudinal perspectives. |
| Date: | 2025–06 |
| URL: | https://d.repec.org/n?u=RePEc:ocp:rpaagr:pp_11-25 |
| By: | Yan, Wenshou; Wang, Ruoxuan; Huang, Kaixing |
| Abstract: | Large-scale hydropower dams are among the most costly and controversial infrastructure projects, yet credible evidence on their regional economic impacts is scarce. This paper provides the first quasi-experimental estimate of the impact of the Three Gorges Project—the world’s largest dam—on regional economic growth. Using a difference-in-differences design with county level data, we find that the project raised GDP per capita in directly affected counties (which account for 11.6% of China’s GDP) by 9.1%. These gains were driven by improved navigation and trade, industrial land creation, and a moderated local climate—not merely by increased electricity supply. The project has also significantly accelerated the economic shift from agriculture to industry and services. However, the benefits were starkly unequal: downstream counties saw a 13.8% increase, while upstream counties experienced negligible gains, a divergence explained by asymmetric changes in land avail able for development. A cost-benefit analysis shows that considering only direct power revenues yields a negative return (-65.5%), but incorporating regional growth spillovers reveals a strongly positive return of 322.3%. Our findings demonstrate that the economic justification for mega-dams hinges on their indirect growth effects, which are large but spatially concentrated. |
| Keywords: | Mega-dams, Regional economic growth, Spatial heterogeneity, Cost-benefit analysis |
| JEL: | O13 O18 O53 Q25 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:127196 |
| By: | Choe, Kyoungin; Rejesus, Roderick |
| Keywords: | Production Economics |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361081 |
| By: | Pan, Chenyu |
| Keywords: | Agribusiness |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:360627 |
| By: | Kim, Dongin; Steinbach, Sandro |
| Keywords: | International Relations/Trade |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361044 |
| By: | Cooray, Ayesha; Rejesus, Roderick |
| Keywords: | Production Economics |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361087 |
| By: | Suzana Gueiros Teixeira (Technology Center, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil) |
| Abstract: | This article presents an application to the Amazon Fund, developed on the period of 2023/ 2024, based on demand from concerns which have risen in the recent decades. Therefore, the selected themes are proposed based on the developments of economic demands that mandatorily have impacted the region and, among local and regional impacts, global impacts such as those associated with Environment and Climate Security issues, understanding their complexity is of both Local and Global Governance, focused to be met on the current proposal. The work proposal is directed to the Amazon Fund in attendance to the Amazon Forest challenges from the Brazilian Legal Amazon area that, under the Ecological Territory Zoning, will focus on the Military Domain Zone. Among the Military Areas within the Amazon, some are of HistoricCultural valued Defense Sites, such as the Historical Fortification of Príncipe da Beira, in English Prince of Borders, which has been raised craved into the Amazon Forest in the State of Rondônia (constructed on the period of 1776 to 1783, by the Portuguese), neighboring Bolivia by an Amazonian River named Itenez Guaporé. The name of the river is of an indigenous nature, meaning Desert Valley or Possibly Waterfall River. The project proposal intends to positively impact on the local environmental biome and provide sustainable actions towards the area with topics which involve Defense. The background of information regarding this work, is based on open sources, nonetheless, we must alert that are of Defense and Security Interests. |
| Keywords: | Amazonian Defense Intelligence, Forest, Illicit, Historical Heritage |
| Date: | 2025–11 |
| URL: | https://d.repec.org/n?u=RePEc:smo:raiswp:0601 |