Search Results (55)

This study examines Poland’s agricultural land market between 2009 and 2023 through fixed effects and spatial econometric models, highlighting economic and spatial determinants of land prices. Key results show that GDP per capita strongly increases land values (β = +0.699, p < 0.001), while agricultural gross value added (–2.698, p = 0.009), soil quality (–6.241, p < 0.001), and land turnover (–0.395, p < 0.001) are associated with lower prices. Spatial dependence is confirmed (λ = 0.74), revealing strong regional spillovers. The volume of state-owned WRSP land sales declined from 37.4 thousand hectares in 2015 to 3.1 thousand hectares in 2023, while non-market transfers, such as donations, exceeded 49,000 annually. Although these trends support farmland protection and family farms, they also reduce market mobility and hinder generational renewal. The findings call for more flexible, sustainability-oriented land governance that combines ecological performance, regional equity, and improved access for young farmers. Full article

Understanding the spatiotemporal patterns of cropland carbon and carbon water use efficiency (CWUE) and its driving factors is essential for sustainable agricultural development. Based on a multi-source remote sensing dataset, this study applies a trend analysis (Sen + Mann–Kendall), a dual-type randomized extraction algorithm, and an optimized XGBoost model to examine the spatiotemporal variations in cropland CWUE, including the water use efficiency of net primary production (WUE_NPP), water use efficiency of gross primary production (WUE_GPP), and carbon use efficiency (CUE) in Henan Province from 2001 to 2019. This study further quantifies the impact of irrigation on the cropland CWUE and explores the synergistic effects of its driving factors in irrigated areas. Results reveal significant regional differences in cropland CWUE across Henan Province. Higher multi-year average values of CUE and WUE_NPP were observed in the western region, while the WUE_GPP was more prominent in the south-central region. Over 76% of cropland areas showed a general downward trend in three indicators, with significant interannual declines. Non-irrigated cropland exhibited higher CWUE values than irrigated ones. The average values over multiple years of the WUE_GPP, WUE_NPP, and CUE of irrigated cropland were 2.51 ${\mathrm{g} \mathrm{C} \mathrm{m}}^{-2}{ \mathrm{mm}}^{-1}$, 1.08 ${\mathrm{g} \mathrm{C} \mathrm{m}}^{-2}{ \mathrm{mm}}^{-1}$, and 0.43, respectively. Sunlight was the dominant factor influencing the WUE_GPP in irrigated areas, while precipitation primarily regulated the WUE_NPP and CUE. The influence of the gross domestic product (GDP) was found to be minimal. Notably, both the leaf area index (LAI) and precipitation exhibited a shift from a positive to negative influence on CUE once their values exceeded optimal thresholds, indicating that resource overabundance can lead to physiological limitations. This study offers valuable insights into how irrigated cropland responds to the combined effects of multiple environmental and socio-economic drivers. Full article

The Malabo Declaration commits African Union member states to eliminating hunger by 2025. Progress toward this target has been uneven and poorly understood. While some countries have recorded gains in non-hunger thematic areas such as finance, trade, resilience to climate variability, and governance and accountability mechanisms, the extent to which these improvements contribute to hunger reduction remains unclear. This study investigates whether performance in non-hunger areas, as measured through the Comprehensive Africa Agriculture Development Programme Biennial Review C-scores, is statistically associated with outcomes under Commitment 3, which focuses on hunger reduction. We used random effects panel regression model covering 55 African countries from 2017 to 2023, the analysis identifies five significant predictors: agricultural GDP and poverty reduction (PC 4.1), foreign private investment (PC 2.3), multi stakeholder coordination (PC 1.2), inclusive public–private partnerships (PC 4.2), and trade policies (PC 5.2). Investment in resilience (PC 6.2) and capacity for planning and monitoring (PC 7.1) showed marginal associations. Our findings suggest that institutional presence alone does not drive hunger outcomes. We reflect that what matters is the structure, inclusiveness, and functionality of these mechanisms, including whether investments reach food-insecure populations, coordination platforms influence decisions, and policies adapt to local conditions. This study concludes that some high-performing categories fail to deliver tangible hunger reduction benefits when implementation is fragmented or disconnected from context. These findings challenge how progress is currently measured and interpreted at the regional level. Finally, we reiterate that as the region prepares for the post-2025 agenda, future strategies must directly link agricultural transformation to hunger reduction through targeted interventions and accountable institutions. Full article

The avocado has gained worldwide relevance due to its nutritional benefits, and in the last two decades, its consumption has experienced remarkable growth, driven by changes in eating habits, especially during the pandemic caused by the severe acute respiratory syndrome (SARS-CoV-2) virus. This boom has had a significant impact on exporting countries such as Peru, which stands out as a key driver of economic growth due to avocado exports. The present study aims to analyse the impact of avocado exports on Peru’s economic growth during the period 2005–2023, utilising a quantitative approach and a non-experimental design, employing the Ordinary Least Squares (OLS) model. The findings indicated that avocado exports and the gross domestic agricultural product exert a positive influence on economic growth, with a statistical significance of 97%. This suggests that a 1% rise in exports results in a 0.40% increase in GDP. Avocado exports have been instrumental in enhancing Peru’s economic competitiveness on the global stage, although challenges persist with regard to sustainability and the inclusion of small-scale producers. The study concluded with the assertion that avocado exports exert a positive effect on 0.40% of economic growth in per capita terms, with an overall significance of 97%. This finding allows us to infer, through the factors, that avocado exports play an important role in market dynamics and in contributing to Peru’s economic growth, as well as their important implications for sustainable development policies. Full article

Arable land is a crucial natural resource for human survival and development, which supports food production, ecological services, and material–energy cycling. It is not only an important production resource for agriculture but also a key guarantee for ensuring food security and sustainable agricultural development. Understanding the current utilization of arable land, exploring the spatial–temporal evolution characteristics, and analyzing the driving mechanisms behind its pattern changes are essential for the rational allocation and sustainable utilization of arable land resources. This study focuses on the utilization of arable land in Guangzhou from 2005 to 2018, employing methods such as statistical analysis and spatial econometrics to provide an in-depth analysis of the spatial–temporal distribution characteristics and driving mechanisms of arable land changes. The results show that from 2005 to 2018, the issue of the conversion of arable land to non-agricultural uses was quite severe in Guangzhou, with the primary form being the conversion of arable land into urban residential construction land. Kernel density analysis revealed that non-agriculturization in Guangzhou exhibited spatial clustering, mainly concentrated in areas with lower elevation. Using standard deviation ellipses and centroid migration analysis, it was found that the center of gravity of non-agriculturization in Guangzhou was generally distributed in a southwest–northeast direction, with a more distinct dispersion compared to the northwest–southeast direction. From 2005 to 2010, the rapid increase in the non-agriculturization rate of arable land in Guangzhou was mainly driven by population density and per capita income, both having a positive impact. From 2010 to 2015, the main driving factor shifted to regional GDP. From 2015 to 2018, regional GDP and the value of the tertiary industry became the main driving factors, but unlike the impact of GDP, the tertiary industry exerted a negative influence on non-agriculturization. Full article

Land use conflicts represent an increasing challenge to sustainable development, particularly in regions undergoing rapid urbanization. This study investigated the spatiotemporal dynamics of land use conflicts and their ecological implications in Tianshui City from 1980 to 2020. The main objectives were to identify patterns of spatial heterogeneity, explore the driving factors behind these conflicts, and analyze their relationship with the ecological risks. The results indicate the following findings. In terms of spatiotemporal heterogeneity, early land use changes were primarily driven by structural factors, such as topography and climate, with a Nugget/Still ratio of <0.30 observed from 1980 to 2000. After 2000, however, stochastic factors, including an average annual urbanization rate increase of 5.2% and a GDP growth rate of 9.1%, emerged as the dominant drivers, as reflected in a Nugget/Still ratio > 0.36. Regarding conflict intensity, high-conflict areas expanded by approximately 1110 square kilometers between 1980 and 2020, predominantly concentrated in fertile agricultural regions such as the Weihe River Basin and urban core areas. Conversely, non-conflict zones decreased by 38.7%. In terms of ecological risk correlation, bivariate LISA cluster analysis revealed a significant spatial autocorrelation between severe land use conflicts and ecological risks (Moran’s I = 0.62, p < 0.01). High-risk clusters in areas transitioning from arable land to built-up land increased by 23% after 2000. Predictions based on the future land-use simulation (FLUS) model suggest that by 2030, high-intensity conflict areas will expand by an additional 16%, leading to intensified competition for land resources. Therefore, incorporating ecological safety thresholds into land spatial planning policies is essential for reconciling the conflicts between development and conservation, thereby promoting sustainable land use transitions. Full article

Protective forests are vital to ecological security in arid desert regions, but their spatial distribution is often inefficient. This study aims to optimize the spatial distribution of protective forests in Alaer City using a combination of the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and the Future Land Use Simulation (FLUS) model. The optimization focuses on three objectives: economic benefits, ecological benefits, and food security. A neural network model is applied to analyze forest distribution suitability based on spatial factors. The results show that the optimized distribution significantly enhances GDP, carbon sequestration, water yield, and food production, while reducing soil erosion. The forest area is mainly concentrated along rivers, agricultural fields, and desert edges, with increased coverage at the Taklamakan Desert’s periphery improving wind and sand resistance. The FLUS model is validated with high accuracy (90.73%). This study provides a theoretical foundation for the sustainable development of protective forests, balancing ecological and economic goals in Alaer City. Full article

Land, as the foundation of all productive activities, plays a crucial role in achieving high-quality development across regions. China’s current land allocation model, which focuses on land quota distribution, has several drawbacks and does not address the conflict between limited land availability and increasing demand. To maximize land use benefits, it is essential to develop scientifically sound allocation plans that effectively adjust land structure and layout. However, existing research often relies on single-attribute geographic or linear programming models which do not meet the multidimensional needs of modern territorial planning. Additionally, commonly used CGE models often overlook the critical role of construction land. To address these gaps, this study introduces a multi-scale, multi-type China Territorial Spatial Planning Simulation Model (CTSPM). This model integrates cultivated, forest, grassland, and construction land, simulating the land use changes driven by socioeconomic impacts through price mechanisms. By employing a land use transition matrix, the CTSPM enhances practical applicability and improves predictions for residential and non-agricultural construction land. It provides a scientific tool for evaluating land policies, supporting interdepartmental negotiations on land quotas, and contributing to natural resource governance and territorial spatial planning. Using the CTSPM, we simulated various high-quality development scenarios and derived the following conclusions: (1) An increase in Total Factor Productivity (TFP) significantly boosts regional economic development and the demand for non-agricultural land; a 1% increase in TFP leads to a 1.48% rise in actual GDP and a 0.19% increase in total non-agricultural land demand. (2) At the regional level, eastern regions experience a greater impact on total land demand compared to central and western regions. (3) In terms of land use types, cultivated and grassland areas show a decreasing trend, while forest and construction land areas are increasing. Full article

In order to contribute to the body of knowledge on sustainable poverty reduction by exploring the relationship between rural and structural transformations and rural poverty incidence in Asian developing countries, this paper selected China, the Philippines, and Vietnam as case studies. Based on a comparison with the provincial data from those three countries, both the graphic and regression analysis suggest that structural and rural transformations matter in rural poverty reduction in these three countries. There is strong evidence showing that raising the share of non-agricultural GDP and the share of rural off-farm employment significantly contributes to rural poverty reduction in all three countries. More importantly, with the expansion of the non-farm sectors in both urban and rural areas, high-value agricultural share has a statistically significant and negative correlation with rural poverty in China and Vietnam over time, while such a negative correlation is much weaker or even does not exist in the Philippines. This paper further concludes with several implications for policymakers to promote inclusive structural and rural transformations. Full article

The impact of exchange rates is a significant concern affecting trade in the SADC region. This study’s purpose is to assess the threshold effects of exchange rates on agricultural exports from SA to SADC from 2010 to 2022. A panel threshold estimation technique is applied to assess the exchange rates effects in different regimes that can be below or above the threshold value. This can reveal non-linear relationships that are often overlooked in traditional linear models. In this analysis, exchange rates are disaggregated into appreciation and depreciation, as it is critical to determine how these changes affect agricultural exports, which has not been achieved in previous studies. The findings of this study confirm the existence of a non-linear relationship between several key variables (depreciation, South Africa’s GDP, the GDP of the SADC, and South Africa’s population and agricultural exports). This contributes new insights to the existing literature on the SADC economies. The policymakers could implement an exchange rate stabilisation mechanism and promote the diversification of both market destinations and agricultural export products. The SADC economies could consider adopting flexible exchange rate regimes that respond to market forces, while taking into account external shocks and economic indicators to mitigate the effects of depreciation shocks. Furthermore, the findings from this study can aid policymakers in formulating effective strategies for managing exchange rates fluctuations and promoting agricultural export growth. The findings show that different segments of agricultural exports can inform targeted interventions aimed at supporting exporters, and relevant industries within the SADC region. These results can aid policymakers to develop strategies to support sustainable agricultural practises, and ensure that the sector can meet the growing demands of a larger population. Full article

Agricultural diversity, productivity, and human well-being have been popular topics in recent decades, partly fueled by our quest for sustainability. However, the exact nature of the interconnections among these global priorities remains an area yet to be fully understood and explored. We contribute to this literature by examining how community well-being interacts with distinct levels of diversity and productivity in cropping systems across multiple U.S. communities. Using data at the county-level from 2010 to 2019, we first analyze how well-being varies across communities that differ in their levels of crop diversity and productivity. Then, we investigate how well-being varies across both diversity–productivity characteristics and farming intensity levels. We employ mapping techniques in conjunction with descriptive statistics to uncover and visualize patterns in well-being across contexts. Study findings show a consistent pattern of high levels of well-being across most diversity–productivity categories, with the notable exception of areas that are both highly diverse and highly productive. In addition, places with substantial commercial operations, and where agriculture contributes greatly to overall GDP and employment generally appears to have higher well-being scores compared to other places. Our analysis also reveals that there is more variability in the index of community well-being within each group than across groups of counties. Overall, the results suggest that the differences in community well-being are not solely determined by agricultural indicators, such as diversity–productivity characteristics and farming intensity levels, but also depend on contextual factors, such as social infrastructure, non-agricultural job opportunities, or local economic diversification. Full article

Safe drinking water is essential to a healthy lifestyle and has been recognised as a human right by numerous countries. However, the realisation of this right remains largely aspirational, particularly in impoverished nations that lack adequate resources for water quality testing. Kenya, a Sub-Saharan country, bears the brunt of this challenge. Pesticide imports in Kenya increased by 144% from 2015 to 2018, with sales data indicating that 76% of these pesticides are classified as highly hazardous. This trend continues to rise. Over 70% of Kenya’s population resides in rural areas, with 75% of the rural population engaged in agriculture and using pesticides. Agriculture is the country’s main economic activity, contributing over 30% of its gross domestic product (GDP). The situation is further exacerbated by the lack of monitoring for pesticide residues in surface water and groundwater, coupled with the absence of piped water infrastructure in rural areas. Consequently, contamination levels are high, as agricultural runoff is a major contaminant of surface water and groundwater. The increased use of pesticides to enhance agricultural productivity exacerbates environmental degradation and harms water ecosystems, adversely affecting public health. This study proposes the development of a wireless sensor system that utilizes radio-frequency identification (RFID), Long-range (LoRa) protocol and a global system for mobile communications (GSM) for monitoring pesticide prevalence in groundwater sources. From the system design, individuals with limited literacy skills, advanced age, or non-expert users can utilize it with ease. The reliability of the LoRa protocol in transmitting data packets is thoroughly investigated to ensure effective communication. The system features a user-friendly interface for straightforward data input and facilitates broader access to information by employing various remote wireless sensing methods. Full article

As one of the most perilous industries, agriculture presents both fatal and non-fatal risks to farmers. Pakistan, a notable Asian nation, heavily depends on agriculture, which constitutes 23% of its GDP and employs 37.4% of its workforce. The study investigates the challenges within Pakistan’s agriculture sector and enriches the existing literature by gathering data on agricultural machine-related injuries in Pakistan during 2022–2023. The survey, conducted from November 2022 to April 2023, involved 55 respondents, predominantly from Sindh and Punjab. The findings indicate a total of 507 injuries, with approximately a quarter being fatal (121 incidents). Sindh emerges as a significant hotspot, with the majority of injuries documented there. With respect to the key sources of injuries, the fodder cutter is a primary source of injuries with 201 injuries documented, accounting for approximately 40% of all injuries. Threshers contributed to 197 injuries, approximately 39% of the total, and about 52 are tractor-related injuries, making up about 10% of machine injuries. Regarding the severity and demographics of injuries, about 38% of cases involve amputation, with a higher incidence among males (77%) and individuals aged 15–34 years (65%). It is important to acknowledge the study’s limitations, including a small participant pool and a brief data collection period. This research advocates for safety regulations, accident reduction measures, and increased safety awareness among farmers, aiming to foster a safer and more sustainable agricultural environment in Pakistan. Full article

This study investigates how life expectancy is influenced by CO₂ emissions, health spending, GDP, water usage, agricultural output, and renewable and non-renewable energy consumption within the Aral Sea basin, which is an environmentally catastrophic zone in the world. This research utilized data from the years 2002 to 2020 and employed various econometric approaches, including FMOLS, DOLS, and Driscoll–Kraay. The outcomes of the study reveal that health spending, GDP, water productivity, agriculture output, energy consumption, and human capital have a positive impact on life expectancy, but CO₂ emissions have a negative impact on life expectancy. The most important policy takeaway from this study is the need to develop and implement comprehensive policies that take into account health spending, GDP, water, agricultural output, energy consumption, and education level in order to ensure life longevity. Full article

Sustainable Development Goals (SDGs) serve as a reference point in the global policy-making process, with their quantitative evaluation at various scales integrating spatial planning still under exploration. Major Function Oriented Zone (MFOZ) planning in China emerges as an innovative strategy, focusing on ecosystem services to achieve sustainable development. This study takes MFOZ planning as an example, and assesses SDG implementation within the MFOZ framework, focusing on 288 cities. Then, this study analyzes the zoning types of SDG realization status through cluster analysis. Based on this, we explore the influencing factors of the SDGs from the perspective of socioeconomic and environmental characteristics, and ecosystem services, and propose target strategies. The research found that there are four zoning types according to the SDG realization status, including mixed-oriented with high consumption and output (24.3%), non-agriculture-oriented with low consumption and high output (12.5%), agriculture-oriented with low consumption and output (55.9%), and agriculture-oriented with high consumption and output (7.3%) cities. Most cities do not demonstrate high efficiency in resource consumption output, and the realization status of SDGs urgently needs to improve. Socio-economic development during urbanization challenges SDGs, while the traditional environmental measures have limited effects. Ecosystem services could help improve SDGs, including GDP growth rate, and reduce water resource development intensity and carbon emissions. Focusing solely on numerical values of SDGs, such as water efficiency, may harm ecosystem services and go against sustainable development. This research underscores the necessity of adapting SDG strategies to the unique contexts of cities and has practical significance for enabling more targeted and effective strategies for SDG implementation, integrating spatial planning, and aligning local efforts with global sustainability aspirations. Full article