Unlocking biogas potential: Spatial analysis, economic viability, and climate resilience in southern regions of Khyber Pakhtunkhwa, Pakistan.

Across the world, the growing embrace of anaerobic digestion for deriving energy from biogas presents substantial economic and environmental benefits. This strategic approach carries particular significance for Pakistan, which is actively striving to meet its renewable energy objectives. The study focuses on a comprehensive examination of the spatial distribution of biogas potential originating from livestock farm manure in the southern areas of Khyber Pakhtunkhwa.

Navigating China's carbon neutrality journey: insights from policy instruments and implementation strategies across provincial regions.

China's critical reliance on well-crafted public policies, coupled with the effective execution of central government directives at the local level, drives the achievement of the "dual carbon" goal including the peaking of CO emissions and attaining carbon neutrality. Therefore, examining policy records can unveil the holistic strategy for attaining carbon neutrality during the period of peak CO emissions; at the same time, it can also highlight the potential obstacles in policy implementation. In this study, we adopt a policy instruments perspective to investigate data related to policies addressing peak CO emissions across 29 provincial administrative regions in China.

Untangling the causal mechanisms and spatial dynamics of digital financial development's impact on energy intensity: insights from panel data of Chinese provinces.

The prime focus of the present investigation delves into the linkage between digital financial services and energy intensity within the geographic confines of China, utilizing provincial-level panel data spanning from 2011 to 2021. Digital finance has rapidly developed due to changes in information technology, and its role in achieving green transformation, reducing energy consumption, and lowering energy intensity in Chinese society is critical. By conducting empirical analysis utilizing diverse models, we have tested our hypotheses and found that digital finance's improvement can contribute to the reduction in energy intensity at the regional level while still considering endogeneity concerns.

Variation of digital economy's effect on carbon emissions: improving energy efficiency and structure for energy conservation and emission reduction.

The significance of accurately assessing the influence of digital economy growth upon reducing emission of carbon in the context of worldwide climate governance cannot be overstated. This is crucial in encouraging low-carbon economic advancement at national level, achieving carbon peak and neutrality as soon as possible, and creating a shared future for humanity. A mediating effect model is established using cross-country panel data from 100 countries, ranging from 1990 to 2019, to assess the influence of digital economy development upon emission of carbon and to explore its underlying mechanism.

Role of agricultural credit guarantee policies in encouraging green agricultural development: farmers' perspectives and responses, and the regulatory function of household capital.

Green agriculture is anticipated to be the leading trend for achieving sustainable and high-quality development in the agricultural sector in the future. The success of credit guarantee policies in promoting green agricultural development is closely linked to the level of participation and response from farmers in securing agricultural credit guarantee loans. We examined how farmers in Xiji, Ningxia, perceive agricultural credit guarantee policies and their involvement in such loans by analyzing 706 survey responses.

Investigating the rationale for low-carbon production techniques in agriculture for climate change mitigation and fostering sustainable development via achieving lowcarbon targets.

In China, agricultural activities are a major source of greenhouse gas emissions, ranking second only to another significant source. This presents a significant obstacle to reducing emissions and jeopardizes both the availability of food and the sustainable growth of agriculture. It is primarily the farmers who utilize cultivated land and are thus accountable for the initiation of these emissions.

Analysis of financial support efficiency and influencing factors of listed seed companies from the perspective of energy consumption and carbon emissions.

The seed industry has a prominent role in strengthening ecological stability and national food security as it provides the basic ground for agriculture sector. In the current research, the effectiveness of financial support provided to listed seed enterprises and its influencing factors from the perspectives of energy consumption and carbon emissions are examined using a three-stage DEA-Tobit model. The dataset for the underlined study variables mainly comes from the financial data published by 32 listed seed enterprises and the China Energy Statistical Yearbook from 2016 to 2021.

Does green finance promote agricultural green total factor productivity? Considering green credit, green investment, green securities, and carbon finance in China.

The Chinese government has proposed a "double carbon" target as a response to climate change and has been incorporated in the vision 2035. Agriculture's green development is intrinsically related to financial support, but conventional financial mechanisms fall short in their efforts to foster economic growth and curb environmental degradation. The current research examines the theoretical effects of green finance on agricultural green total factor productivity in the context of "double carbon.

Does location of the households' matters? Identifying the households' willingness to pay and preference heterogeneity in advancement of vulnerable ecosystem services: An approach of choice experiment.

The present research underlines the need to expand far outside bundling or hierarchical providing strategy that often focuses on a specific habitat or ecosystem and creates a location-based strategy that considers how dependency in other parts of the region with ecosystem functions and processes leads to complements and resources' trade-offs. Thus, for assessment of spatial heterogeneity based on willingness to pay (WTP) for upgrading environmental attributes across Heihe River Basin (HRB), a choice experiment survey was carried out in the entire river basin. The HRB is one of the big inland river in the Northwestern region of China and is selected on basis of its geomorphological and geographical significance.

Implementing a novel deep learning technique for rainfall forecasting via climatic variables: An approach via hierarchical clustering analysis.

Variations in rainfall negatively affect crop productivity and impose severe climatic conditions in developing regions. Studies that focus on climatic variations such as variability in rainfall and temperature are vital, particularly in predominant rainfed areas. Forecasting rainfall is very essential in the agriculture sector due to the dependence of many people, while it is very complex to accurately predict rainfall due to its dynamic nature.

An Estimation of the Effect of Green Financial Policies and Constraints on Agriculture Investment: Evidences of Sustainable Development Achievement in Northwest China.

Farming' community actively participating as micro-actors in green finance schemes is critical for regional planning and development. On the basis of the extent to which financial progress and sustainable development are coordinated, in a difference-in-differences approach, this article employed 2350 small investigations to estimate the influence of green-finance strategies on peasants' agriculture investment and developed a mediation effect method. It investigates the role of peasant managerial variability in mediating the influence of financial constraints.

Exploring the spatiotemporal heterogeneity and influencing factors of agricultural carbon footprint and carbon footprint intensity: Embodying carbon sink effect.

Due to the combined effects of carbon emission and carbon sink, agriculture is acknowledged as an essential contributor to achieve the Chinese government's carbon neutrality goal of 2060, and carbon footprint (CF) and carbon footprint intensity are substantial indicators to reveal the carbon emission level. For these reasons, the Theil index technique and extended STIRPAT model were employed to evaluate their spatiotemporal heterogeneity and influencing factors using panel data from 31 provinces for the period 1997-2019. The findings revealed that the CF showed an increasing trend with an annual growth rate of 24.

Quantifying the spatial preferences heterogeneity to upgrade the endemic ecological attributes for a cleaner environment: Evaluating the feasibility of benefit transfer among sub-basins of an inland river.

The role of wetlands in the conservation of global biodiversity is very significant due to the provision of various benefits to households. The assessment of these benefits and general public perception in terms of their willingness to pay for restoring the degraded ecosystem services is also heterogeneous because of their spatial preferences. This research employed a choice experiment technique to evaluate willingness to pay of the households to improve the current degraded ecosystem services and assessed benefit transfer among upper, middle and lower sub-basins of Heihe River.

Identifying the impact factors of sustainable development efficiency: integrating environmental degradation, population density, industrial structure, GDP per capita, urbanization, and technology.

To accomplish the high-quality development target in Yellow River Basin, the current study investigates the impact factors of the rural sustainable development efficiency in Yellow River Basin from the period of 1997 to 2017, by using Super efficiency Slack-based Measure, improved STIRPAT, and the OLS regression. The findings illustrate that rural sustainable development efficiency in Yellow River Basin is maintaining a fluctuating upward trend during the investigation. The impact factor analysis reveals that at the entire basin level, the population density and industrial structure have the greatest impact on rural sustainable development efficiency, while the technology level has the least impact.

Prioritizing stakeholders' preferences for policy scenarios of vulnerable ecosystems with spatial heterogeneity in choice experiment: Coupling stated preferences with elevation.

Understanding public preferences and evaluating the river basin are essential for effective river basin management, and enhancing its environmental attributes can provide considerable non-market benefits. As such, the study explores the heterogeneity in people's preferences and rankings of river ecosystem services based on their willingness to pay (WTP) to upgrade these services. A research survey was conducted throughout the river basin using a choice experiment approach.

The asymmetric effects of crops productivity, agricultural land utilization, and fertilizer consumption on carbon emissions: revisiting the carbonization-agricultural activity nexus in Nepal.

Agriculture plays an integral part in facilitating socioeconomic development in Nepal. However, it is also associated with environmental concerns which need to be controlled for the sake of ensuring environmental and agricultural sustainability in tandem. Against this backdrop, this current study aims to check whether shocks to the levels of agricultural productivity, land utilization for crop production, and fertilizer consumption influence the carbon dioxide emission figures of Nepal over the 1965-2018 period.

Identifying impact of international trade and renewable energy consumption on environmental quality improvement and their role in global warming.

There is a lack of proper research that highlights the impact of institutional quality (IQ) and renewable energy consumption (REC) on the carbon emission (CE). The significance of IQ and REC in the achievement of zero CE is highlighted in this research. The current research reports the effects of these important factors on the consumption-based carbon emissions in the G-7 countries from 1995 to 2018.

Role of institutional quality and renewable energy consumption in achieving carbon neutrality: Case study of G-7 economies.

This research emphasized the significance of institutional quality and renewable energy consumption in achieving the desired objective of zero carbon emissions. Following the COP21 (Paris Conference), many countries have fixed their national level objectives for achieving the carbon neutrality and to tackle the problem of global warming. Many researchers have focused their efforts on the aspects that contribute to environmental degradation.

The spatiotemporal dynamic and spatial spillover effect of agricultural green technological progress in China.

The progress of agricultural green technology is an important means and fundamental way to achieve high-quality development of agriculture. The current study takes the panel data of 31 provinces in China from 1998 to 2018 and uses the Epsilon Based Measure-Global Malmquist-Luenberger (EBM-GML) model to measure China's agricultural green technological progress (AGTP) and discusses its dynamic evolution characteristics in the spatiotemporal dimensions. Finally, we analyze the spatial spillover effects of AGTP by the spatial Dubin model.

An impact of climate change and groundwater salinity on shadow price of water, farmers' revenue, and socioeconomic and environmental indicators in district Kohat-Pakistan.

Globally, agricultural productivity is adversely impacted due to climatic changes as the temperatures rises and precipitation decreases, and especially in Pakistan, which ultimately enhanced groundwater salinity and harmed water quality in the country. However, the impacts of groundwater salinity and climate change on farmers' revenue have not been fully understood in Pakistan. Therefore, the focus of current research is the assessment of shadow price of water, farmers' revenue, and socioeconomic and environmental indicators affected by variations in groundwater salinity, precipitation, and temperature.

An insight into the drag effect of water, land, and energy on economic growth across space and time: the application of improved Solow growth model.

Economies that depend on natural resources can experience a resource drag effect when economic growth is limited by constraints on the availability of those resources. Therefore, this study uses panel data and the improved Solow growth model to explore the resource drag effect on China's regional economic growth from 1987 to 2017 and makes innovative contributions to address these four gaps in the previous literature: the resources gap, the consistent measurement gap, the regional gap, and the temporal gap. The empirical results indicate that the resource drag effect reduced China's overall annual economic growth by 0.

Tracking sustainable development efficiency with human-environmental system relationship: An application of DPSIR and super efficiency SBM model.

Sustainable development of the Yellow River Basin, China, has gained comprehensive realistic and academic attention as a significant part of high-quality development. Current study used the 30 years (1997-2017) panel data of 9 provinces and constructed Drivers, Pressure, State, Impact and Response analysis framework and super efficiency Slack-Based Measure (DPSIR-SBM) model to evaluate rural sustainable development efficiency (RSDE). For the reason, the convergence, divergence and their influencing factors are discussed from three aspects, which are σ convergence, absolute β convergence and conditional β convergence.

Regional difference decomposition and its spatiotemporal dynamic evolution of Chinese agricultural carbon emission: considering carbon sink effect.

The current study aims to analyze the regional differences and spatiotemporal dynamic evolution of carbon emission intensity (CEI) and carbon emission per capita (CEPC) of planting industry with consideration of carbon sink effect. The results indicate that: (i) The CEI and CEPC of China's planting industry present significant non-equilibrium distribution characteristic during the investigate period, provinces with high CEI are mainly distributed in major agricultural provinces, while high CEPC provinces are mainly located in northeast and individual central provinces with large planting industry. (ii) Inter-regional difference is the principal course of the total differences, the CEI Theil index demonstrates gradient decreasing pattern of "western > central > eastern > northeast," the contribution rate of CEI Theil index shows "northeast > eastern > central > western," the CEPC Theil index shows the spatial pattern of "northeast > central > western > eastern," and the contribution rate of CEPC Theil index presents the spatial pattern of "eastern > central > western > northeast.

Research on the impact of agricultural green production on farmers' technical efficiency: evidence from China.

Agricultural green production (AGP) and efficiency improvement of smallholders' management are the objective requirements for the development of China's modernized agriculture and the understanding of the rural vitalization strategy. Based on field survey data of 582 rice farmers in Shaanxi Province, this study used the Logit model to analyze the determinants of smallholders' adoption of agricultural green production technology (AGPT) and used the propensity score matching (PSM) method to measure the effect of AGPT on the technical efficiency (TE) of rice production and the heterogeneity of this influence among smallholders. Results showed that the AGPT adoption rate and the mean of rice production TE were 15.

Environmental improvement value of agricultural carbon reduction and its spatiotemporal dynamic evolution: Evidence from China.

A large increase in carbon emission and other greenhouse gases have attracted much attention around the world for decades. As the second largest carbon emission source in the world, the agricultural carbon emission and the environmental improvement value of agricultural carbon reduction (EIVACR) should not be ignored. Based on the theory of resource economic value, the current study divided 31 provincial-level administrative units of China into three major regions.