Nothing Special   »   [go: up one dir, main page]

You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (484)

Search Parameters:
Keywords = land reform

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
18 pages, 424 KiB  
Article
Green Finance, Land Transfer and China’s Agricultural Green Total Factor Productivity
by Xuan Liu and Xuexi Huo
Land 2024, 13(12), 2213; https://doi.org/10.3390/land13122213 - 18 Dec 2024
Viewed by 314
Abstract
Promoting the role of green finance (GF) in agricultural green transformation is essential for easing resource constraints and achieving sustainable agricultural development. Based on provincial-level data from 2006 to 2022, this study considers the China GF reform and innovation pilot zone as a [...] Read more.
Promoting the role of green finance (GF) in agricultural green transformation is essential for easing resource constraints and achieving sustainable agricultural development. Based on provincial-level data from 2006 to 2022, this study considers the China GF reform and innovation pilot zone as a quasi-natural experiment. It empirically examines the impact and mechanism of GF on agricultural green total factor productivity (AGTFP). The following results are obtained: (1) GF exerts a significant enhancement effect on AGTFP. (2) GF can improve AGTFP by increasing the degree of land transfer (LT). (3) The effect of GF on AGTFP is heterogeneous, and GF has a significant enhancement effect on high-environmental-regulation provinces, the eastern region, and nonmajor grain-producing regions. From these findings, this study suggests accelerating the development level of GF, improving LT policies, continuously stimulating rural entrepreneurial vitality, and further leveraging the role of GF in promoting agricultural green transformation through coordinating regional economic development. Full article
Show Figures

Figure 1

Figure 1
<p>Parallel trend chart.</p>
Full article ">
13 pages, 865 KiB  
Article
The Role of Psychological Capital on Climate Change Adaptation Among Smallholder Farmers in the uMkhanyakude District of KwaZulu-Natal, South Africa
by Mbongeni Maziya, Lelethu Mdoda and Lungile Pearl Sindiswa Mvelase
Climate 2024, 12(12), 213; https://doi.org/10.3390/cli12120213 - 8 Dec 2024
Viewed by 739
Abstract
Climate change and variability pose a challenge to the livelihoods of smallholder farmers. Previous studies on climate change in the context of smallholder farming have mainly focused on the influence of socio-economic factors in understanding farmers’ responses to climate change. However, little is [...] Read more.
Climate change and variability pose a challenge to the livelihoods of smallholder farmers. Previous studies on climate change in the context of smallholder farming have mainly focused on the influence of socio-economic factors in understanding farmers’ responses to climate change. However, little is known about the effect of psychological capital on climate change adaptation. There are calls for better empirical models and transdisciplinary approaches to understand the underlying drivers of climate change adaptation in smallholder farming systems. This study draws from behavioural decision research to assess psychological factors influencing climate change adaptation in the uMkhanyakude district of KwaZulu-Natal. This study adopted the Theory of Planned Behaviour to understand the effect of psychological capital on climate change adaptation. Data were collected from a sample of 400 smallholder farmers who were randomly selected from the uMkhanyakude district. Survey data were analysed using a multivariate probit regression model. The results of the multivariate probit regression model indicated that psychological capital (attitudes towards climate change, subjective norms, and trust) played an important role in influencing climate change adaptation. Climate change adaptation is also influenced by the gender of the farmer, education level, household size, and Tropical Livestock Units. These findings underscore the role of psychological capital in shaping climate change adaptation. This study recommends using transdisciplinary approaches (i.e., combining economics and psychology) in evaluating farmers’ responses to climate change. Full article
Show Figures

Figure 1

Figure 1
<p>The Theory of Planned Behaviour. Source: Adapted from [<a href="#B41-climate-12-00213" class="html-bibr">41</a>].</p>
Full article ">Figure 2
<p>Common climate change adaptation strategies in uMkhanyakude.</p>
Full article ">
18 pages, 2296 KiB  
Article
Reforming Land Public Interest Litigation in China: Addressing Legal and Practical Barriers
by Jing Zhang, Shuchen Tang, Yongcun Cui and Aitong Ji
Land 2024, 13(12), 2019; https://doi.org/10.3390/land13122019 - 26 Nov 2024
Viewed by 383
Abstract
Land public interest litigation (LPIL) has emerged as a vital mechanism for addressing China’s land crisis. It serves dual purposes: mitigating the tragedy of the commons and safeguarding the legitimate rights of vulnerable groups reliant on land. Over the past decade, China’s LPIL [...] Read more.
Land public interest litigation (LPIL) has emerged as a vital mechanism for addressing China’s land crisis. It serves dual purposes: mitigating the tragedy of the commons and safeguarding the legitimate rights of vulnerable groups reliant on land. Over the past decade, China’s LPIL framework has evolved significantly, with enhanced legislation and consistent judicial practices contributing to the prevention of further land degradation. However, an empirical analysis of 208 LPIL cases reveals a judiciary-led litigation model, with procuratorial bodies initiating 94.71% of cases, while non-governmental organizations (NGOs) and individuals account for only 3.85% and 0%, respectively. This narrow plaintiff base, coupled with significant regional disparities—74.52% of cases concentrated in the top ten provinces—and a mere 25% filing rate for administrative cases, limits the system’s effectiveness. These constraints hinder vulnerable groups’ ability to protect their rights and obscure systemic issues underlying efficient operations. To advance LPIL, China must expand plaintiff eligibility, empower NGOs, and clarify departmental boundaries. These reforms can enhance land governance, ensure equitable resource management, and contribute to sustainable development. Full article
Show Figures

Figure 1

Figure 1
<p>Legislative History of LPIL.</p>
Full article ">Figure 2
<p>2015–2023 Case Numbers of LPIL.</p>
Full article ">Figure 3
<p>Distribution of Public Interest Litigation Cases by Province.</p>
Full article ">
15 pages, 284 KiB  
Brief Report
When Mediterranean Artisanal Fishers Protect Coastal Ecosystems
by Cornelia E. Nauen
Fishes 2024, 9(12), 472; https://doi.org/10.3390/fishes9120472 - 22 Nov 2024
Viewed by 456
Abstract
According to EuroStat data, the recorded landings of fisheries products from European waters were estimated at about 6 million tons in 2001, down to 3.2 million tons in 2022. This gradual decline slowed after the entering into force of the reform of the [...] Read more.
According to EuroStat data, the recorded landings of fisheries products from European waters were estimated at about 6 million tons in 2001, down to 3.2 million tons in 2022. This gradual decline slowed after the entering into force of the reform of the European Common Fisheries Policy (CFP) at the end of 2013, but was followed by a steeper decline after 2018. This is reflected in the last assessment of the Scientific Technical and Economic Committee for Fisheries (STEPF), noting that despite progress in the NE Atlantic management, 41% of the assessed stocks in 2022 were outside safe biological limits, down from 80% in 2003. Improvements in the Mediterranean are significantly slower. A warming ocean provokes the measurable poleward migration of species and adds stress to predator–prey relations in all European seas. Within this general picture, the broad-brush landscape is influenced by policy applications more in favour of industrial exploitation and regulatory and market environments, making it very hard for many small-scale fishers (SSFs) to remain in business, let alone attract younger successors for generational transition. In crowded marine spaces, it is a challenge to allocate access rights fairly between fisheries, exclusion zones for resource and habitat protection and much-needed ecosystem recovery, platforms for fossil exploitation, wind farms, underwater cables and recreational uses. Two examples of local initiatives with faunal recovery potential in the Mediterranean are briefly presented as a bottom-up complement to more top-down management approaches. They are spearheaded by artisanal fishers, who seek to restore spawning grounds and other coastal habitats as a way to procure enough fish and other complementary activities to secure their livelihoods in the future. They are supported by local scientists and nature conservation organisations. While promising, this is still rather the exception. Here, it is argued that trust-building between artisanal fishers, conservationists and scientists, and greater systemic support to SSFs by governments, increase chances for the urgently needed structural shifts that deliver the reversal in the ongoing decline in biodiversity and ocean productivity that all aspire to, to ensure sustained social and economic benefits. Full article
(This article belongs to the Special Issue Fisheries Policies and Management)
Show Figures

Graphical abstract

Graphical abstract
Full article ">
17 pages, 3092 KiB  
Article
Floral Composition and Productivity of Leys and Permanent Grasslands in Baltic Livestock Farms
by Vilma Živatkauskienė, Giedrius Petrauskas, Vilma Kemešytė, Gražina Statkevičiūtė, Vaclovas Stukonis and Eglė Norkevičienė
Agriculture 2024, 14(12), 2115; https://doi.org/10.3390/agriculture14122115 - 22 Nov 2024
Viewed by 432
Abstract
Agricultural reforms, land consolidation, and the abandonment of livestock farming effects grassland ecosystems worldwide. Utilising data from four medium-sized livestock farms across different regions in Lithuania, we assess floristic composition, productivity, and grass quality in both permanent grasslands and leys. Our findings reveal [...] Read more.
Agricultural reforms, land consolidation, and the abandonment of livestock farming effects grassland ecosystems worldwide. Utilising data from four medium-sized livestock farms across different regions in Lithuania, we assess floristic composition, productivity, and grass quality in both permanent grasslands and leys. Our findings reveal significant differences in flora diversity, with 120 species identified in permanent grasslands compared to only 20 in leys. Additionally, dry matter yield was notably higher in leys (13.97 t ha−1) than in permanent grasslands (5.66 t ha−1), underscoring the productivity potential of leys. The crude protein levels remained stable across both types, but leys demonstrated significantly lower neutral detergent fibre content, indicating better forage quality. However, the high biodiversity of permanent grasslands supports ecosystem services. Full article
(This article belongs to the Section Crop Production)
Show Figures

Figure 1

Figure 1
<p>Research sites in different districts of Lithuania are marked by dots and numbers. (1) Kėdaniai Distr.; (2) Zarasai Distr.; (3) Šilalė Distr.; (4) Lazdijai Distr.</p>
Full article ">Figure 2
<p>Dry matter yield of permanent grasslands and leys in 2019–2020. Dots represent group means. Groups followed by the same letters are not significantly different (Tukey’s HSD, <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 3
<p>Dry matter yield of permanent grasslands in 2019 and 2020. Error bars represent the standard deviation. The letters indicate significant differences (Tukey’s HSD, <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 4
<p>The quality of the first-cut dry matter yield in 2019 and 2020. (<b>A</b>) Crude protein; (<b>B</b>) neutral detergent fibre. Error bars represent the standard deviation. Groups followed by the same letters are not significantly different (Tukey’s HSD, <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 5
<p>Fresh matter yield composition of permanent grasslands in the Kėdainiai, Lazdijai, Šilalė, and Zarasai Districts in 2019 and 2020.</p>
Full article ">Figure A1
<p>Seasonal temperature (<b>A</b>) and precipitation (<b>B</b>) patterns across research sites in Lithuania (2019–2020).</p>
Full article ">
16 pages, 1319 KiB  
Article
Mechanism of Population Outflow and Ecological Pressure Reflux in China’s Pastoral Area: S-C Gacha’s Case
by Mingming Fan and Gongbu Zeren
Land 2024, 13(11), 1936; https://doi.org/10.3390/land13111936 - 17 Nov 2024
Viewed by 419
Abstract
In China’s rural areas, as populations flow into cities, dependence on land has significantly decreased, leading to widespread land abandonment; however, the relationship between population and land in pastoral areas differs. This study conducted a five-year tracking survey on Sunite Right Banner in [...] Read more.
In China’s rural areas, as populations flow into cities, dependence on land has significantly decreased, leading to widespread land abandonment; however, the relationship between population and land in pastoral areas differs. This study conducted a five-year tracking survey on Sunite Right Banner in Xilingol League (Inner Mongolia), where macro data and in-depth home interviews were used for the mechanisms’ analysis. The findings demonstrate that the pastoral regions’ ecological pressure has increased with population immigration. There are several factors influencing such interaction between people and rangeland: First is the cost mechanism. The increasing cost of livestock production leads herders to increase their reliance on grazing rental systems to increase the number of livestock. The grazing rental system generates income for those migrating to adjacent urban regions. Second is the institutional mechanism. The “three-separating property right systems”, a recent rural land institutional reform policy, has marketized rural individualized rangelands, leading herders to focus more on the exchange value of rangelands rather than the use value, including ecological functions. Consequently, both lessors and lessees engage in high-intensity utilization of their individualized grazing lands. Third is the natural mechanism. Climate fluctuations influence herders’ migration patterns, prompting them to leave and return to grazing lands. These ecological dynamics force herders to oscillate between survival and development, intensifying pressure on the grasslands during favorable years and preventing them from recovering while increasing the occurrence of poor years, such as droughts. Fourth is the consumption mechanism. Herders who have migrated to urban regions must continue relying on rangeland resources to sustain their livelihoods. However, lower economic outputs of livestock production hardly catch up with the higher consumption levels in urban regions, which leads migrated herders to increase their pressure on rural rangelands. The final factor is a combination of the previous four mechanisms. The interplay between these previously mentioned four mechanisms encouraged higher herder population outflow, though their reliance on rangeland resources has continued. Based on the results, we argue that these dynamic relations between rural population change and land use patterns are becoming common issues across pastoral regions in Inner Mongolia, demanding innovative solutions. Full article
Show Figures

Figure 1

Figure 1
<p>Location of the study area—Sunite Right Banner of Inner Mongolia, China.</p>
Full article ">Figure 2
<p>Permanent population in urban and pastoral areas of Sunit Right Banner from 1991 to 2023<a href="#fn006-land-13-01936" class="html-fn">6</a>.</p>
Full article ">Figure 3
<p>Number of livestock in Sunit Right Banner between 1991 and 2019<a href="#fn007-land-13-01936" class="html-fn">7</a>.</p>
Full article ">Figure 4
<p>Proportion of feeding time by forage in sheds and by natural grazing<a href="#fn015-land-13-01936" class="html-fn">15</a>.</p>
Full article ">
25 pages, 4548 KiB  
Article
Land Stewardship and Development Behaviors Under an Ecological-Impact-Weighted Land Value Tax Scheme: A Proof-of-Concept Agent-Based Model
by Dakota B. Walker, Alican Mertan, Joshua Farley, Donna Rizzo and Travis Reynolds
Land 2024, 13(11), 1795; https://doi.org/10.3390/land13111795 - 31 Oct 2024
Viewed by 693
Abstract
Sprawling land development patterns have exacerbated ecological degradation, social fragmentation, and public health problems. Perverse incentives arise from the ability to privatize collectively created value in land rents and socialize ecological costs. Land value taxation (LVT) has been shown to encourage urban infill [...] Read more.
Sprawling land development patterns have exacerbated ecological degradation, social fragmentation, and public health problems. Perverse incentives arise from the ability to privatize collectively created value in land rents and socialize ecological costs. Land value taxation (LVT) has been shown to encourage urban infill development by reducing or eliminating rent-seeking behavior in land markets. However, despite its purported benefits, this tax reform is value monistic in its definition of optimal land use and, therefore, does little to address the lack of non-market information to inform land use decisions. We propose an ecological-impact-weighted land value taxation policy (ELVT) which incorporates the ecological footprint of land use into one’s land value tax burden. We test both proposed policies (LVT and ELVT) relative to a “status quo” (SQ) property tax scheme, utilizing a conceptual spatially explicit agent-based model of land use behaviors and housing development. Our findings suggest that both tax interventions can increase the capital intensity and decrease the land intensity of housing development. Furthermore, both tax interventions can lead to a net profit loss for speculators and a decrease in the average housing unit price. The ELVT scheme is shown to significantly increase urban nature provisions and dampen the loss of ecological value across a region. Full article
Show Figures

Figure 1

Figure 1
<p>Feedback interactions among environmental and agent attributes.</p>
Full article ">Figure 2
<p>High-level model process sequence.</p>
Full article ">Figure 3
<p>Initial spatial distribution of land use and ecological value, as well as resulting ecological potential and natural beauty.</p>
Full article ">Figure 4
<p>Housing units per acre for housing created by “developer” agents from single simulation run. <span class="html-italic">Note.</span> Pre-specified initial development (fixed across all land use scenarios) not shown in the figure creates a small urban core and scatter outer development for all simulations.</p>
Full article ">Figure 5
<p>Urban densification, housing availability, and ecological integrity metrics for each land use scenario and tax scheme.</p>
Full article ">Figure 6
<p>Percentage change in Monte Carlo average likelihood of development for LVT and ELVT relative to SQ tax scheme.</p>
Full article ">Figure 7
<p>Changes in wealth and tax burden by agent and house type for the baseline land use scenario.</p>
Full article ">Figure 8
<p>Select urban densification, housing availability, and ecological integrity metrics for sweep of percentage of agents of speculator type.</p>
Full article ">Figure 9
<p>Select urban densification, housing availability, and ecological integrity metrics for sweep of <span class="html-italic">eco_burden_denom</span> values.</p>
Full article ">Figure 10
<p>Select urban densification, housing availability, and ecological integrity metrics for sweep of LVT_rt.</p>
Full article ">
16 pages, 1295 KiB  
Article
Investigating How Policies and Other Conditions Contribute to Influencing Agricultural GHG Emissions in the EU
by Francesco Galioto, Irene Criscuoli, Andrea Martelli, Maria Valentina Lasorella, Ilaria Falconi, Danilo Marandola, Giovanni Dara Guccione and Francesca Varia
Land 2024, 13(11), 1745; https://doi.org/10.3390/land13111745 - 24 Oct 2024
Viewed by 682
Abstract
The present study aims at investigating the potential impacts of agricultural policies on GHG emissions from agriculture across the European Union. The study begins by providing evidence on how the key CAP reforms contributed to the structural changes the European agriculture faced in [...] Read more.
The present study aims at investigating the potential impacts of agricultural policies on GHG emissions from agriculture across the European Union. The study begins by providing evidence on how the key CAP reforms contributed to the structural changes the European agriculture faced in the past. Based on these facts, we introduce the context of implementation of the 2014–2022 Common Agricultural Policy (CAP), within which many interventions were designed to improve sustainability and increase competitiveness, and we formulate hypotheses on how CAP instruments can contribute differently to influencing GHG emissions from agriculture. The hypotheses formulated concern the following: (1) the influence of the income support payment on land prices and, consequently, on land distribution between small and large landowners; (2) the influence of the coupled payment on agricultural specialization; (3) the influence of agri-environmental-climate measures on the sustainable management of agricultural lands. These causalities can have direct and indirect effects on GHG emissions from agriculture. The method of qualitative comparative analysis (QCA) is used to investigate the above-mentioned causalities and to cluster observations based on similar combinations of conditions (i.e., drivers) and outcomes (i.e., positive or negative variations in GHG emissions from agriculture between the end and the beginning of the CAP programming period). The results reveal that the increase in GHG emissions from agriculture over the study period is mainly attributable to the low share of agricultural land under management contracts targeting climate change mitigation and carbon sequestration through the CAP. CAP payments coupled with production were found to contribute to further increasing GHG emissions from agriculture in some eastern and northern EU countries. Livestock concentrations, income support payments and the high price of agricultural land drive the increase in GHG emissions for other central and eastern EU countries. The paper concludes by addressing existing shortcomings due to conflicting interventions in the current CAP strategic plans. Full article
Show Figures

Figure 1

Figure 1
<p>Variations in GHG emissions from agriculture (2022–2014% var). Source: our elaboration on Eurostat [<a href="#B12-land-13-01745" class="html-bibr">12</a>]. Notes: Since the entry into force of the Withdrawal Agreement that established the UK’s exit from the EU (on 31 January 2020 at midnight CET), the UK must be considered as a third country. However, it has been included for the purposes of this research. CY—Cyprus; HU—Hungary; BG—Bulgaria; SL—Slovenia; IE—Ireland; CZ—Czech Republic; PL—Poland; LU—Luxemburg; SE—Sweden; DK—Denmark; HR—Croatia; FI—Finland; MT—Malta; RO—Romania; AT—Austria; LV—Latvia; PT—Portugal; BE—Belgium; NL—Netherlands; FR—France; EE—Estonia; ES—Spain; IT—Italy; UK—United Kingdom; DE—Germany; LT—Lithuania; SK—Slovakia; EL—Greece.</p>
Full article ">Figure 2
<p>Analysis of necessity. Notes: ~, negated condition; +, set union. Performance indicators: Consistency—Presence of cases showing opposite outcomes; Coverage—Presence of cases not explained by the relation; Relevance of Necessity—Presence of the negated outcome when the condition is absent. Range of performance indicators: 0 (low performance)–1 (high performance). Cases situated below the diagonal are consistent. Cases in the upper left quadrant are deviant for consistency; cases in the lower left quadrant are influencing the coverage trivialness. Performance thresholds: Consistency, 0.900 (required); Coverage, 0.600; Relevance of necessity, 0.500.</p>
Full article ">Figure 3
<p>Analysis of sufficiency. Intermediate solutions for the outcome (GHG, graph <b>A</b>) and its absence (~GHG, graph <b>B</b>). Notes: Cases situated above the diagonal are consistent. In the upper-left quadrant are deviant cases for coverage; in the lower-right quadrant are deviant cases consistent in kind. Performance thresholds: Consistency, 0.750; PRI, 0.600.</p>
Full article ">Figure A1
<p>Calibration of the outcome and conditions. Note: On the y-axis we report the fuzzy scores used for the analysis and on the x-axis the raw scores drawn from official data. The dotted lines are alternative thresholds used to check for robustness. The threshold was set at 0 for both the outcome and the structural conditions addressing a variation for the period of investigation, while median values were used to define thresholds for policy conditions and 0.5 for the binary SAPS condition. A certain arbitrariness can be identified in the selection of median values for policy conditions. For these conditions we performed a robustness check consisting of running the same QCA procedure described in the main text but using alternative calibration thresholds. The outcome of the robustness check did not contradict the original one, but it was found to be less robust, considering the higher skewness associated with the alternative calibration thresholds.</p>
Full article ">
19 pages, 2091 KiB  
Article
Spectral Discrimination of Common Karoo Shrub and Grass Species Using Spectroscopic Data
by Christiaan Johannes Harmse and Adriaan van Niekerk
Remote Sens. 2024, 16(20), 3869; https://doi.org/10.3390/rs16203869 - 18 Oct 2024
Viewed by 879
Abstract
Rangelands represent about 25% of the Earth’s land surface but are under severe pressure. Rangeland degradation is a gradually increasing global environmental problem, resulting in temporary or permanent loss of ecosystem functions. Ecological rangeland studies aim to determine the productivity of rangelands as [...] Read more.
Rangelands represent about 25% of the Earth’s land surface but are under severe pressure. Rangeland degradation is a gradually increasing global environmental problem, resulting in temporary or permanent loss of ecosystem functions. Ecological rangeland studies aim to determine the productivity of rangelands as well as the severity of their degradation. Rigorous in situ assessments comprising visual identification of plant species are required as such assessments are perceived to be the most accurate way of monitoring rangeland degradation. However, in situ assessments are expensive and time-consuming exercises, especially when carried out over large areas. In situ assessments are also limited to areas that are accessible. This study aimed to evaluate the effectiveness of multispectral (MS) and hyperspectral (HS) remotely sensed, unmanned aerial vehicle (UAV)-based data and machine learning (random forest) methods to differentiate between 15 dominant Nama Karoo plant species to aid ecological impact surveys. The results showed that MS imagery is unsuitable, as classification accuracies were generally low (37.5%). In contrast, much higher classification accuracies (>70%) were achieved when the HS imagery was used. The narrow bands between 398 and 430 nanometres (nm) were found to be vital for discriminating between shrub and grass species. Using in situ Analytical Spectral Device (ASD) spectroscopic data, additional important wavebands between 350 and 400 nm were identified, which are not covered by either the MS or HS remotely sensed data. Using feature selection methods, 12 key wavelengths were identified for discriminating among the plant species with accuracies exceeding 90%. Reducing the dimensionality of the ASD data set to the 12 key bands increased classification accuracies from 84.8% (all bands) to 91.7% (12 bands). The methodology developed in this study can potentially be used to carry out UAV-based ecological assessments over large and inaccessible areas typical of Karoo rangelands. Full article
(This article belongs to the Section Ecological Remote Sensing)
Show Figures

Figure 1

Figure 1
<p>Images and spectral reflectance based on the analytical spectral device of three species examined in the study: (<b>a</b>) <span class="html-italic">Ruschia intricata</span>, (<b>b</b>) <span class="html-italic">Pteronia glomerata</span> and (<b>c</b>) <span class="html-italic">Geigeria filifolia</span>.</p>
Full article ">Figure 2
<p>Optimal analytical spectral device (ASD) wavelengths identified using guided regularised random forest.</p>
Full article ">Figure 3
<p>Optimal remotely sensed hyperspectral (HS) wavelengths identified using guided regularised random forest.</p>
Full article ">Figure 4
<p>Percentage accuracy for discriminating between the 15 species using all 1522 wavelengths from the analytical spectral device data set vs only the selected 16 wavelengths as predictor variables in the random forest classifier.</p>
Full article ">Figure 5
<p>Percentage accuracy for discriminating between the 15 species using all 224 wavelengths from the unmanned aerial vehicle hyperspectral data set vs only the selected 12 wavelengths as predictor variables in the random forest classifier.</p>
Full article ">
20 pages, 971 KiB  
Article
Assessing the Impact of Productive Safety Net Program on Soil and Water Conservation Practices in the Amhara Sayint Woreda, Ethiopia
by Yemata Demissie, Alem-meta Assefa, Mare Addis and William A. Payne
Agriculture 2024, 14(10), 1818; https://doi.org/10.3390/agriculture14101818 - 15 Oct 2024
Viewed by 840
Abstract
Land degradation is a critical issue in Ethiopia, exacerbating food insecurity by reducing agricultural productivity. Soil and water conservation (SWC) practices are essential to control erosion and increase food production. However, there is a lack of comprehensive evaluations on the impact of Ethiopia’s [...] Read more.
Land degradation is a critical issue in Ethiopia, exacerbating food insecurity by reducing agricultural productivity. Soil and water conservation (SWC) practices are essential to control erosion and increase food production. However, there is a lack of comprehensive evaluations on the impact of Ethiopia’s Productive Safety Net Program (PSNP) on SWC practices. This study aimed to assess the contribution of the PSNP to SWC in the Amhara Sayint Woreda. The researchers used a mixed-method approach, combining quantitative and qualitative data. Multistage sampling was used to select households, and data were collected through questionnaires, interviews, focus groups, and observations. The study provided empirical evidence that the PSNP has a positive impact on SWC practices. Key factors influencing SWC participation include age, family size, education, plot size, livestock ownership, credit service, and access to extension services. The results suggest that the PSNP should improve payment for public work participants implementing SWC, undertake institutional reform, and increase public awareness of the benefits of SWC in reversing land degradation and improving food security. This study uniquely contributes to the understanding of how the PSNP influences the varying degrees of participation in SWC practices, filling a critical research gap. The findings can inform policymakers and program managers to enhance the PSNP’s effectiveness in promoting sustainable land management and food security in Ethiopia. Full article
(This article belongs to the Section Agricultural Economics, Policies and Rural Management)
Show Figures

Figure 1

Figure 1
<p>Conceptual framework of the study.</p>
Full article ">Figure 2
<p>Map of the study area (<b>a</b>) Map of Ethiopia; (<b>b</b>) Map of Amhara Region.</p>
Full article ">
26 pages, 4120 KiB  
Article
How Does High-Standard Farmland Construction Affect Agroecological Efficiency—From the Perspective of Factor Endowment
by Jin Ren, Xinrui Chen, Zimeng Miao and Tingting Gao
Land 2024, 13(10), 1673; https://doi.org/10.3390/land13101673 - 14 Oct 2024
Viewed by 821
Abstract
Based on the factor endowment theory and the agriculture-induced technological innovation theory, this study examines the impact of high-standard farmland construction (HFC) on agricultural ecological efficiency (AEE) and sustainable agricultural development. Using empirical data from 30 provinces in China between 2005 and 2022, [...] Read more.
Based on the factor endowment theory and the agriculture-induced technological innovation theory, this study examines the impact of high-standard farmland construction (HFC) on agricultural ecological efficiency (AEE) and sustainable agricultural development. Using empirical data from 30 provinces in China between 2005 and 2022, it explores how high-standard farmland construction techniques can enhance AEE, considering factor endowment preferences and geographical characteristics. Empirical research indicates that high-standard farmland significantly enhances AEE, particularly in the eastern region, the main grain-producing areas, and the regions with less geographical fluctuation. Additionally, agricultural innovations, capital accumulation, and land circulation reinforce the benefits of such construction, whereas labor mobility has a moderating effect. Quantile regression analyses show that the impact of HFC on AEE initially increases and then diminishes, potentially due to inadequate post-management and maintenance. Consequently, the study recommends that the government enhance policy support and supervision for high-standard farmland projects, integrate agricultural technology with capital accumulation, optimize human resource allocation, guide labor mobility, and reform land transfer systems to boost AEE and sustainability. Full article
Show Figures

Figure 1

Figure 1
<p>The development track of China’s HFC [<a href="#B23-land-13-01673" class="html-bibr">23</a>].</p>
Full article ">Figure 2
<p>Theoretical framework.</p>
Full article ">Figure 3
<p>The national average development level of HFC. Note: The national average development level of HFC is ascertained by computing the annual mean values across the 30 provinces in China.</p>
Full article ">Figure 4
<p>AEE level in 2005. Note: The data are from the National Geographic Information Public Service Platform (<a href="https://www.tianditu.gov.cn/" target="_blank">https://www.tianditu.gov.cn/</a> (accessed on 31 July 2024)), and the audit number is GS (2024) 0650. Due to space limitations, the development level of agroecological efficiency in China is only shown in 2005 and 2022. <a href="#land-13-01673-f005" class="html-fig">Figure 5</a> is the same as <a href="#land-13-01673-f004" class="html-fig">Figure 4</a>.</p>
Full article ">Figure 5
<p>AEE level in 2022.</p>
Full article ">
19 pages, 3746 KiB  
Article
Spatiotemporal Evolution of Land Use Structure and Function in Rapid Urbanization: The Case of the Beijing–Tianjin–Hebei Region
by Xiaoyang Li and Zhaohua Lu
Land 2024, 13(10), 1651; https://doi.org/10.3390/land13101651 - 10 Oct 2024
Viewed by 797
Abstract
The rapid increase in urbanization is accompanied by the evolution of land use structure and function. Since its reform and opening up, China has entered a stage of rapid urbanization, which has brought about higher requirements in terms of rational allocation within land [...] Read more.
The rapid increase in urbanization is accompanied by the evolution of land use structure and function. Since its reform and opening up, China has entered a stage of rapid urbanization, which has brought about higher requirements in terms of rational allocation within land use structure and the optimization of land use function. However, most existing studies have evaluated the structure and function of land use separately, resulting in a decoupling of the two, and have not accurately depicted the spatiotemporal characteristics of the evolution of land use. Here, based on statistical data and remote sensing image data, we constructed a dual evaluation index system for land use structure and function which uses the characteristics of land use structure to evaluate the property of land use function directly. We used the entropy weight method to characterize the spatiotemporal evolution of urbanization and land use structure and applied a land use function deviation degree model to discuss the evolution path for land use function. Our results showed that the dominant dimension of urbanization changed from eco-environmental urbanization to economic urbanization in the rapid economic development stage. In terms of quantity within land use structure, urban-agricultural-ecological spaces have developed in a synergistic direction. Regarding the quality of land use structure, its development level exhibited an upward trend in Beijing and Hebei, while Tianjin demonstrated a U-shaped development trajectory. With urbanization development, the dominant function of regional land use has evolved to a higher level of synergy in the Beijing–Tianjin–Hebei region. These results offer inspiration for formulating regional dynamic land use policy and phased planning of urbanization development in rapidly urbanizing regions. Full article
Show Figures

Figure 1

Figure 1
<p>The theoretical framework of a sustainable development system between urbanization and land use.</p>
Full article ">Figure 2
<p>The geographical location of the BTH region.</p>
Full article ">Figure 3
<p>The tradeoffs and synergy process of land use functions.</p>
Full article ">Figure 4
<p>Urbanization development level. (<b>A</b>) Comprehensive urbanization development level in the BTH region. (<b>B</b>–<b>D</b>) Various dimensions of urbanization development level in Beijing, Tianjin, and Hebei.</p>
Full article ">Figure 5
<p>The proportion of land area types in the BTH region.</p>
Full article ">Figure 6
<p>The development level of urban, agricultural, and ecological spaces. (<b>A</b>) Comprehensive development level of land use structure in the BTH region. (<b>B</b>–<b>D</b>) Development level of urban, agricultural, and ecological spaces in Beijing, Tianjin, and Hebei.</p>
Full article ">Figure 7
<p>Land use function deviation index of the BTH region.</p>
Full article ">Figure 8
<p>Evolution path of land use function in the BTH region. (<b>A</b>) Evolution path of land use function in Beijing. (<b>B</b>) Evolution path of land use function in Tianjin. (<b>C</b>) Evolution path of land use function in Hebei. <b>II</b> and <b>III</b> represent living function zones; <b>IV</b> and <b>V</b> denote production function zones; and <b>I</b> and <b>VI</b> signify ecological function zones.</p>
Full article ">Figure 9
<p>Correlation characteristics between urbanization and land use functions in the BTH region. (Note: the significance level is 0.05).</p>
Full article ">Figure 10
<p>Evolution of land use function of the whole BTH region. <b>II</b> and <b>III</b> indicate the living function zone; <b>IV</b> and <b>V</b> indicate the production function zone; <b>I</b> and <b>VI</b> indicate the ecological function zone.</p>
Full article ">
19 pages, 7462 KiB  
Article
Spatiotemporal Changes and Driving Mechanisms of Cropland Reclamation and Abandonment in Xinjiang
by Yuling Fang, Shixin Wu, Guanyu Hou and Weiyi Long
Land 2024, 13(9), 1476; https://doi.org/10.3390/land13091476 - 12 Sep 2024
Viewed by 771
Abstract
Since China’s reform and opening up in 1978, the reclamation and abandonment of cropland in Xinjiang have become significant features of the land use change in the arid land of Northwest China. However, the spatiotemporal changes and driving mechanisms of cropland reclamation and [...] Read more.
Since China’s reform and opening up in 1978, the reclamation and abandonment of cropland in Xinjiang have become significant features of the land use change in the arid land of Northwest China. However, the spatiotemporal changes and driving mechanisms of cropland reclamation and abandonment over long time periods are still unclear, but this is crucial in understanding cropland changes in inland arid land, providing important insights for land management and agricultural development. Based on 40 years of remote sensing data on resources and the environment, this study examines the spatiotemporal characteristics of cropland reclamation and abandonment in Xinjiang over four periods since 1980. Additionally, it uses an optimal parameter geographical detector model to quantify the driving factors for each period. The results indicate that cropland reclamation experiences a “slow decrease–rapid increase” trend, forming a “V-shaped” pattern, while abandonment shows a “rapid decrease–slow decrease–slow increase” trend, forming a “U-shaped” pattern. These trends can be divided into three periods: 1980–1990 (unstable growth), 1990–2010 (stable growth), and 2010–2020 (growth with constraints). The movement pattern of cropland reclamation’s center of gravity is “slightly southeast–slightly northeast–southwest”, whereas the abandonment’s center of gravity shifts “northeast–southwest–northeast”. Further analysis reveals that the impact of agricultural technological investment and infrastructure on cropland reclamation has increased, while the influence of natural environmental factors has decreased. Although climate and water resources remain key factors in cropland abandonment, the influence of economic and social factors has gradually diminished, and the impact of agricultural mechanization has steadily risen. Full article
Show Figures

Figure 1

Figure 1
<p>Geographic location and land use of the study area in 2020: (<b>a</b>) location of Xinjiang, China; (<b>b</b>) distribution of regions in Xinjiang and percentages of land use types in 2020; (<b>c</b>) cropland area in each region. Note: NWNX (Northwestern Northern Xinjiang), CNST (Central Northern Slope of the Tianshan Mountain), YLB (Yili Basin), THA (Turpan–Hami Area), NTB (Northern Tarim Basin), WTB (Western Tarim Basin), and STB (Southern Tarim Basin). The map is based on standard map No. GS (2019) 1822 downloaded from the service website of standard maps, National Administration of Surveying, Mapping and Geoinformation, with no changes in the base map.</p>
Full article ">Figure 2
<p>Area of cropland reclamation and abandonment change types and area of unchanged cropland in Xinjiang in four periods.</p>
Full article ">Figure 3
<p>Spatial distribution of cropland reclamation and its reclamation area and average annual reclamation rate in Xinjiang in different periods. Note: NWNX (Northwestern Northern Xinjiang), CNST (Central Northern Slope of the Tianshan Mountain), YLB (Yili Basin), THA (Turpan–Hami Area), NTB (Northern Tarim Basin), WTB (Western Tarim Basin), and STB (Southern Tarim Basin).</p>
Full article ">Figure 4
<p>Spatial distribution of cropland abandonment and its abandonment area and average annual abandonment rate in Xinjiang in different periods. Note: NWNX (Northwestern Northern Xinjiang), CNST (Central Northern Slope of the Tianshan Mountain), YLB (Yili Basin), THA (Turpan–Hami Area), NTB (Northern Tarim Basin), WTB (Western Tarim Basin), and STB (Southern Tarim Basin).</p>
Full article ">Figure 5
<p>Area and rate of cropland reclamation and abandonment by region in four periods. Note: NWNX (Northwestern Northern Xinjiang), CNST (Central Northern Slope of the Tianshan Mountain), YLB (Yili Basin), THA (Turpan–Hami Area), NTB (Northern Tarim Basin), WTB (Western Tarim Basin), and STB (Southern Tarim Basin).</p>
Full article ">Figure 6
<p>Maximum <span class="html-italic">q</span> values for each driver in the four periods: (<b>a</b>) cropland reclamation; (<b>b</b>) cropland abandonment. Note: ***, **, * indicate <span class="html-italic">p</span> &lt; 0.01, <span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">p</span> &lt; 0.1, respectively.</p>
Full article ">Figure 7
<p>Results of interaction detector for drivers of cropland reclamation in four periods: (<b>a</b>) 1980–1990; (<b>b</b>) 1990–2000; (<b>c</b>) 2000–2010; (<b>d</b>) 2010–2020.</p>
Full article ">Figure 8
<p>Results of interaction detector for drivers of cropland abandonment in four periods: (<b>a</b>) 1980–1990; (<b>b</b>) 1990–2000; (<b>c</b>) 2000–2010; (<b>d</b>) 2010–2020.</p>
Full article ">
21 pages, 2255 KiB  
Article
Treating the Symptoms as Well as the Root Causes: How the Digital Economy Can Mitigate the Negative Impacts of Land Resource Mismatches on Urban Ecological Resilience
by Huangying Gu, Guanyu Guo and Chengming Li
Land 2024, 13(9), 1463; https://doi.org/10.3390/land13091463 - 9 Sep 2024
Cited by 2 | Viewed by 995
Abstract
In the era of the digital economy (DE), the traditional economic growth paradigm is no longer applicable. To explore whether the DE can improve the urban ecological problems left behind by rough economic growth, this study examines the effects of land resource mismatch [...] Read more.
In the era of the digital economy (DE), the traditional economic growth paradigm is no longer applicable. To explore whether the DE can improve the urban ecological problems left behind by rough economic growth, this study examines the effects of land resource mismatch (LRM) on urban ecological resilience (UER) and evaluates the mitigating influence of the DE. This analysis utilizes data from 280 prefectural-level cities in China over the period from 2007 to 2021 and reveals that LRM significantly undermines UER, with this conclusion remaining robust across a series of tests. Additionally, the detrimental impact of LRM on UER is more pronounced in megacities, cities with high levels of economic development, and those with a lower degree of advanced industrial structure. In further analysis, this study finds that the digital economy can optimize the allocation of land resources, thereby enhancing urban ecological resilience, which has the effect of “treating the root causes”. In addition, digital government and digital infrastructure, as key elements of the digital economy, also mitigate the negative impacts of land resource misallocation on urban ecological resilience, having the effect of “treating the symptoms”. Finally, this study proposes policy suggestions such as optimizing ecological layout, deepening land reform, and promoting digital government and infrastructure construction to provide a theoretical basis and practical guidance for local governments to enhance UER and help build a new model of greener, more resilient, and sustainable urban development. Full article
Show Figures

Figure 1

Figure 1
<p>Supplement of state-owned construction land (10,000 hectares) and total GDP (billions of yuan) in China.</p>
Full article ">Figure 2
<p>Land (10,000 hectares, %) used for industrial, mining, and warehousing in China.</p>
Full article ">Figure 3
<p>Average price (yuan per square meter) of various land in China.</p>
Full article ">Figure 4
<p>Theoretical mechanism.</p>
Full article ">Figure 5
<p>Spatial distribution of UER in China. (<b>a</b>) Spatial distribution of UER in China in 2007; (<b>b</b>) Spatial distribution of UER in China in 2007.</p>
Full article ">Figure 6
<p>Spatial distribution of LRM in China. (<b>a</b>) Spatial distribution of LRM in China in 2007; (<b>b</b>) Spatial distribution of LRM in China in 2007.</p>
Full article ">Figure 7
<p>Propensity score plots before and after matching. (<b>a</b>) Propensity score before PSM matching; (<b>b</b>) Propensity score after PSM matching.</p>
Full article ">
23 pages, 1161 KiB  
Article
Land Regulation and Local Service Provision: Can Economic Growth and Environmental Protection Be Achieved Simultaneously?
by Xiaodong Zhang, Kaifeng Duan, Lun Yang and Xiaokun Wei
Land 2024, 13(9), 1422; https://doi.org/10.3390/land13091422 - 3 Sep 2024
Viewed by 892
Abstract
This study examines the impact of China’s industrial land approval reform (ILAR) on the provision of subnational services. Utilizing the 2011 pilot reform policy approved by the State Council, we utilize a staggered Difference-in-Differences (DID) method to determine the reform’s impact on local [...] Read more.
This study examines the impact of China’s industrial land approval reform (ILAR) on the provision of subnational services. Utilizing the 2011 pilot reform policy approved by the State Council, we utilize a staggered Difference-in-Differences (DID) method to determine the reform’s impact on local economic growth and environmental protection. The findings reveal that the reform enhances local economic development and decreases pollution levels. Additionally, the reform significantly decreases land resource misallocation in pilot cities, enhancing productivity. We also find that local governments allocate more land to the tertiary sector through this reform, achieving industrial upgrading. The optimization effects are more pronounced in cities with higher fiscal pressure. Based on these findings, we recommend that policymakers sustain decentralization efforts and consider further incentives for cities under fiscal stress. We fill a gap in the literature by linking land use regulation with subnational service provision, contributing to the understanding of the socioeconomic benefits of decentralization and local government service levels. Full article
(This article belongs to the Section Land Socio-Economic and Political Issues)
Show Figures

Figure 1

Figure 1
<p>Research framework.</p>
Full article ">Figure 2
<p>Parallel trend tests. Notes: This figure shows the results of the parallel trends tests according to Equation (3). Panel (<b>a</b>) reports the estimated results on <span class="html-italic">PM25</span>, and Panel (<b>b</b>) reports the estimated results on <span class="html-italic">Light</span>.</p>
Full article ">Figure 3
<p>Placebo tests. Notes: This figure shows the results of the placebo tests. Panel (<b>a</b>) reports the estimated results on <span class="html-italic">PM25</span>, and Panel (<b>b</b>) reports the estimated results on <span class="html-italic">Light</span>.</p>
Full article ">
Back to TopTop