The Impact of Purchasing New Agricultural Machinery on Fuel Consumption on Farms DOI Open Access
Maciej Kuboń, Michał Cupiał, Anna Szeląg-Sikora

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 16(1), P. 52 - 52

Published: Dec. 20, 2023

The aim of this study was to see how purchases new agricultural machinery affected fuel consumption on farms. This study, conducted in the Małopolska region Poland, covered two reporting periods (before and after purchase machinery). analysis included factors relevant indicators analyzed, including changes consumption, area agrotechnical treatments, working time, installed power. To evolves under different conditions, following variables were used as grouping variables: farms, power largest tractor, index technological modernization (ITM), groups crops, machinery. Statistical showed significant differences between analyzed groups. research that increased In population studied, volume by 8% compared initial period. increase mainly due more powerful tractors, while productivity technology modern ones did not compensate for demand.

Language: Английский

Spatiotemporal evolution characteristics, influencing factors of land use carbon emissions, and low-carbon development in Hubei Province, China DOI Creative Commons

Mengjiao Fan,

Zhanqi Wang,

Zhibin Xue

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102567 - 102567

Published: March 20, 2024

Against the backdrop of global warming, carbon emissions have become a major concern. Carbon from land use (CELU) play significant role in shaping efforts to reduce and achieve neutrality. Using China Land Cover Dataset (CLCD) alongside socioeconomic data, we conducted comprehensive CELU calculations for Hubei Province. Our approach involves integrating Markov time transfer matrix delineate spatiotemporal evolution characteristics CELU, employing Tapio elastic adaptation model analyze decoupling economic development, leveraging geographic detectors identify primary influencing factors their interactions, both internally externally. Subsequently, formulated recommendations low-carbon development response our findings. The key results are as follows. (1) Between 1995 2019, total Province exhibited consistent increase, characterized by an initial acceleration growth followed gradual slowdown. (2) During same period, witnessed multiple types decoupling, with weak emerging prevailing trend. (3) explanatory power (q-values) internal external ranged 0.179 0.935. Moreover, interaction these exceeded 0.5, indicating overall effect. This study presents strategy that offers robust scientific basis government policymakers craft emission reduction strategies. Additionally, it serves valuable reference fostering long-term high-quality development.

Language: Английский

Citations

22

Land productivity and environmental sustainability for G7 economies: Does an inverted U‐shaped curve exhibit green finance? DOI Open Access
Zeeshan Khan, Ramez Abubakr Badeeb, Sher Ali

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Abstract Land productivity including both water and agriculture are equally important for sustainable environment. The study investigate the role of land along with non‐linear effect green finance on Specifically, this research aims to land, productivity, finance, environmental taxes technologies sustainability in Group Seven (G7) countries, covering timeframe 1990–2020. also scrutinized innovation regulations This uses novel panel data methods that robust nonparametric data. empirical confirmed be nonnormally distributed; therefore, quantile regression approach is used. results an inverted U‐shaped curve as its linear term positive, nonlinear negatively impacts carbon emissions. supports idea effective a group seven economies; however, magnitude should increase. Moreover, agricultural regulations, impact By contrast, increasing economic activities, such gross domestic product, increase recommends focus G7 countries achieve target COP 27 address climate change.

Language: Английский

Citations

1

Identifying potential rural residential areas for land consolidation using a data driven agent-based model DOI
Xiang Zhao,

Bocheng Cai,

Jianhua He

et al.

Land Use Policy, Journal Year: 2024, Volume and Issue: 145, P. 107260 - 107260

Published: July 8, 2024

Language: Английский

Citations

7

Land use spatial optimization for city clusters under changing climate and socioeconomic conditions: A perspective on the land-water-energy-carbon nexus DOI

Xiaoxu Cao,

Haijun Wang, Bin Zhang

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 349, P. 119528 - 119528

Published: Nov. 20, 2023

Language: Английский

Citations

13

Land consolidation of dryland-to-paddy conversion in China: Analysis of spatial patterns, impacts on cropland ecosystem services, and adaptive management strategies DOI

Weihong Guo,

Jing Ma, Xiaojun Song

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 108, P. 107594 - 107594

Published: June 29, 2024

Language: Английский

Citations

5

Impact of selected land fragmentation parameters and spatial rural settlement patterns on the competitiveness of agriculture: Examples of selected European and Asian countries DOI
Jarosław Janus, Ela Ertunç, Zlatica Muchová

et al.

Habitat International, Journal Year: 2023, Volume and Issue: 140, P. 102911 - 102911

Published: Aug. 30, 2023

Language: Английский

Citations

12

Energy Efficiency in Agricultural Production—Experience from Land Consolidation in Poland and Finland DOI Creative Commons
Monika Balawejder, Artur Warchoł,

Kalle Konttinen

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(22), P. 7598 - 7598

Published: Nov. 15, 2023

Land consolidation in rural areas is greatly influenced by a number of social, agricultural, and economic factors. They extend the time complicate activities related to implementation this project. huge investment, requiring good up-to-date map. Up-to-date data that reflects reality are basis for efficient land areas. To improve creation project, most appropriate solution would be place all necessary create project on “geoportals” websites. Providing websites geoportals Poland Finland form map portal enable both visual substantive analysis spatial changes Therefore, article pursues two main scientific goals. The first purpose analyze history scope order learn specifics given country. Comparisons analyses were made authors’ experience with described. second goal compare availability geospatial context methodology performing areas, which leads increased energy efficiency agricultural production reducing need energy, especially fuel machinery. results from table list summary available free. Thanks it, contractors around world will have opportunity familiarize themselves perhaps use when creating Good planning lead effective economical space. This part 2030/2050 strategy. Reducing costs, lower consumption, smaller carbon footprint. what striving as countries belonging European Union.

Language: Английский

Citations

11

Exploring the application of ICTs in decarbonizing the agriculture supply chain: A literature review and research agenda DOI Creative Commons

Asmae El Jaouhari,

Jabir Arif, Ashutosh Samadhiya

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(8), P. e29564 - e29564

Published: April 1, 2024

The contemporary agricultural supply chain necessitates the integration of information and communication technologies to effectively mitigate multifaceted challenges posed by climate change rising global demand for food products. Furthermore, recent developments in technologies, such as blockchain, big data analytics, internet things, artificial intelligence, cloud computing, etc., have made this transformation possible. Each these plays a particular role enabling agriculture ecosystem be intelligent enough handle today's world's challenges. Thus, paper reviews crucial technologies-enabled chains understand their potential uses developments. review is supported 57 research papers from Scopus database. Five areas analyze applications technology reviewed chain: safety traceability, security system management, wasting food, supervision tracking, businesses decision-making, other not explicitly related chain. study also emphasizes how can help promote decarbonization. An application framework decarbonized suggested based on research's findings. identifies contribution decision-making chains. offers guidelines academics, policymakers, practitioners managing successfully enhanced productivity

Language: Английский

Citations

4

How does land consolidation in redesigned agricultural enterprises affect CO 2 emissions? DOI Creative Commons
Müge Kirmikil, Şerife Tülin Akkaya Aslan, Kemal Sulhi Gündoğdu

et al.

Environmental Pollutants and Bioavailability, Journal Year: 2025, Volume and Issue: 37(1)

Published: Feb. 27, 2025

Language: Английский

Citations

0

Road to green urbanization: how does urbanization process affect the green land use efficiency DOI Creative Commons

Ruoxi Yang,

Jiayao Wang, Minghao Xu

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 25, 2025

Introduction As the process of urbanization accelerates, high energy consumption, pollution, and low land use efficiency have led to many significant negative impacts on production daily life. Methods In order investigate impact construction green its potential mechanisms, indicators China’s evaluation system are constructed, SBM-GML model is used measure efficiency. Based this, data from 30 provinces in China 2013 2023 test them using fixed effects, mediating effects threshold effects. Results (1) The can directly contribute improvement use. This conclusion remains valid after conducting endogeneity robustness tests. (2) effect shows that increase synergistic industrial agglomeration promote optimization structure, thus indirectly promoting (3) a exists relationship between level economic development efficiency, based process. deepens, role improving gradually strengthens. (4) Heterogeneity analysis reveals has more driving cities eastern China. Discussion paper suggests optimizing allocation resources accelerating terms green. Attention should be given regional differences carbon emissions during urbanization, it essential continuously optimize realized low-carbon model. Special attention paid enhancing emission control underdeveloped regions, nationwide

Language: Английский

Citations

0