Carbon emissions changes of animal husbandry in China: Trends, attributions, and solutions: A spatial shift-share analysis.

China is a major livestock producer confronting the dual challenges of rising demand for animal-based food consumption and decreasing carbon emissions. To effectively address these issues, it is crucial to understand the trends of carbon emissions from animal husbandry and the competitive advantages of carbon emission reduction in different regions. This study uses panel data from 31 provinces from 2004 to 2020 to investigate the contributing factors to carbon emissions and explore ways to reduce carbon intensity in animal husbandry. The analysis employs spatial shift-share analysis and the spatial Durbin model. Our findings indicate that life-cycle carbon emissions associated with animal husbandry in China decreased from 572.411 Mt CO2eq to 520.413 Mt CO2eq over time, with an average annual decline of 0.568 %. The annual contribution of output value and internal industry-mix adjustment to carbon emission growth is 22.639 MT CO2eq and 6.226 MT CO2eq, respectively. On the other hand, the annual contribution of carbon efficiency improvement to carbon emission reduction is much higher, at 36.316 MT CO2eq. However, there is significant regional heterogeneity in the spatial decomposition of the carbon efficiency change component. The Northeastern region, Northwest and along the Great Wall demonstrate neighborhood advantages in enhancing carbon efficiency. In contrast, the South China and Southwest regions rely more on local carbon efficiency advantages to reduce the carbon intensity of animal husbandry. Furthermore, the carbon intensity in local and neighboring areas can be reduced through environmental regulations and industrial agglomeration. While technical progress significantly negatively impacts carbon intensity in neighboring regions, it does not contribute to reducing the carbon intensity of local animal husbandry. The findings provide valuable insights for local governments, aiding them in recognizing the pros and cons of carbon reduction in animal husbandry and strengthening regional cooperation in emission reduction management.

Can Grassland Rental Lead to Herders' Rotational Grazing Under the Grassland Household Responsibility System? Evidence from Pastoral Areas in Northern China.

Grassland property rights privatization has alleviated the problem of 'the tragedy of the commons' but led to an unintended ecological consequence-traditional nomadic modes declination. However, with the grassland rental market formation in countries with property rights privatization, grassland rental has reshaped the pattern of grassland allocation and provided opportunities for herders to optimize their grazing modes. Based on the survey data of herders in northern China, we theoretically analyze and empirically test grassland rental's impact on herders' rotational grazing behavior under the household responsibility system. The results show that grassland rental promotes herders' rotational grazing, and the probability of individual rotational grazing is increased by 58.27%. By increasing the operated grazing grassland area and the number of grassland plots fenced, grassland rental promotes herders' grassland endowment match with the large-scale livestock activity space and the number of grazing blocks required for rotational grazing, reduces the input cost and operation difficulty required for rotational grazing, and increase herders rotational grazing probability. Grassland rental's impact on herder's rotational grazing is heterogeneous, showing the dependence of the number of plots fenced and the scale of grazing grassland. It has a higher promotion effect on herders with more plots fenced; It cannot promote the generation of herders' rotational grazing behavior when the rented grassland area fails to make the grassland operation scale reach the minimum threshold of rotational grazing. The study emphasizes the importance of developing a grassland rental market to promote the optimization of grazing modes in grassland privatization countries.

Effects of the promoting bacterium on growth of plant under cadmium stress.

Cadmium (Cd) pollution is a huge threat to ecosystem health. In the manuscript, pot experiments were conducted to investigate the changes in plant biomass and antioxidant indicators under different cadmium pollution levels (0, 25, 50, and 100 mg/kg) of inoculation of plant growth-promoting bacteria ZG7 on sugar beet. The results showed that the accumulation of excess Cd in sugar beet exhibited different symptoms, including reduced biomass (p < 0.05). Compared with the group treated with uninoculated strain ZG7, inoculation of strain ZG7 significantly reduced the toxicity of sugar beet to Cd and enhanced its antioxidant capacity, with no significant differences in root biomass and increases in leaf biomass of 15.71, 5.84, and 74.12 under different Cd concentration treatments (25, 50, and 100 mg/kg), respectively. The root enrichment of Cd was reduced by 49.13, 47.26, and 21.50%, respectively (p < 0.05). The leaf fraction was reduced by 59.35, 29.86, and 30.99%, respectively (p < 0.05). In addition, the enzymatic activities of sucrase, urease, catalase, and neutral phosphatase were significantly enhanced in the soil (p < 0.05). This study helps us to further investigate the mechanism of cadmium toxicity reduction by inoculated microorganisms and provides a theoretical reference for growing plants in cadmium-contaminated agricultural fields.

The combination of microorganisms and phytoremediation is becoming a popular research topic. The selection of suitable plant growth promoting bacteria can not only promote the growth and development of plants and enhance their cadmium resistance, but also improve the soil quality. And the results of this study will be important for growing edible plants and improving soils in cadmium-contaminated areas.

Perceived Value, Government Regulations, and Farmers' Agricultural Green Production Technology Adoption: Evidence from China's Yellow River Basin.

Farmers' agricultural green production technology (AGPT) adoption behavior has attracted extensive attention, while few studies explored the interactive effect of perceived value and government regulations in this process. Therefore, we analyze the interaction effect between perceived value and different government regulations on farmers' AGPT adoption by the Poisson regression model, using micro-survey data from 1491 households in China's Yellow River basin. Furthermore, we examine the heterogeneous effect of perceived value and government regulations on farmers' AGPT adoption behavior considering the change in production scale and farmers' age. The results suggest that perceived value can substitute for incentive government regulation and guiding government regulation, respectively. While binding government regulation can inhibit the promotion effect of perceived value on farmers' AGPT adoption. In addition, the larger the production scale, the more influential the effects of perceived value and government regulations on farmers' AGPT adoption are. In contrast, with the increase in farmer's age, the promotion effect of perceived value becomes weak while the effect of government regulations experiences a U-shaped trend. Finally, the conclusions and policy implications are set forth.

The role of climate-adaptive technological innovation in promoting agriculture carbon efficiency: impact and heterogeneity in economic development.

Achieving global climate change mitigation targets requires low-carbon production in agriculture. In such an endeavor, a new classification of climate-adaptive technology is defined to affect agriculture towards the low-carbon direction, but such an impact has seldom been empirically tested in the literature. In this paper, we investigate the impact of climate-adaptive technological innovation on agricultural carbon efficiency, a proxy for low-carbon agriculture. We use a stochastic directional distance function framework and a cross-country dataset covering 38 OECD countries. Additionally, we test the heterogeneous impact, considering that regional economic development is a crucial condition for deploying advanced technologies. The findings show that climate-adaptive technological innovation can promote carbon efficiency in agriculture, and this aggregate effect hides significant heterogeneity at different levels of economic development. The higher the economic development level is, the better climate-adaptive technological innovation contributes to improving agricultural carbon efficiency. Then, related policy implications are set forth.

What government interventions are effective in regulating the use and recycling of high-standard mulch film in China?

The widespread use of ultra-thin mulch films has been considered the root cause of China's difficulties in recycling waste mulch films and their severe residue and pollution. Therefore, environmental regulation to guide farmers to use and recycle high-standard mulch has become a key measure to prevent and control mulch pollution at the source. In this paper, we review environmental regulation measures for mulch pollution and their implementation characteristics in the northwest dry farming restoration region as a case study, and explore their impact on the use and recycling of high-standard mulch. ​The results show that China's environmental regulations on mulch use and recycling can be classified into three types: guidance, incentives, and restrictions. However, the measures implemented so far primarily consist of guidance, while the restrictive and incentive regulations are inadequate. The percentage of farmers using and recycling high-standard mulch under environmental regulations is relatively high (88.18% and 79.83%, respectively), but there is still room for improvement. The study also reveals that while environmental regulations promote the use of high-standard plastic film and its recycling, not all measures are equally effective. Specifically, the implementation of measures such as benefits publicity, price subsidies, technical training, behavior supervision, and punishment mechanisms can be effective in improving farmers' adoption of high-standard plastic mulch; publicizing the hazards of mulch residue, training on recycling techniques, establishing recycling sites, regulating recycling practices, and penalizing violations can effectively help increase the recycling rate of used mulch film. Finally, this study provides a valuable reference for improving regulatory policies for mulch pollution control.

Analysis of the factors influencing the water-energy-food system stress in China.

Water, energy and food security are at the heart of the UN 2030 Agenda for Sustainable Development. Maintaining water-energy-food (WEF) system security is critical to sustainable socio-economic development. To clarify the trends in China's WEF system stress, this paper analyses the spatial and temporal heterogeneity of WEF system stress using panel data for 30 Chinese provinces from 2002 to 2020. Using an extended STIRPAT model, we discuss the influencing factors of WEF system stress and forecast the WEF system stress index (WEF_SI) for 2021-2030. We find that China's WEF_SI has a significant positive spatial autocorrelation, with energy stress being the dominant stress in China's WEF system. Second, GDP per capita, urban population density, education level per capita, technology level and effective irrigated area have spatial and temporal heterogeneity in their effects on WEF system stress. Third, the prediction results show that China's WEF system stress will decrease in 2021-2030 but to a lesser extent. The government should coordinate the relationship between water, energy and food based on the evolutionary characteristics and projected trends of each element and formulate differentiated policies according to the resource endowment of each region to promote the coordinated development of the WEF system.

Psychological distance and physical distance induced residents' heterogeneous willingness to pay for transboundary watershed ecosystem services in the Wei River Basin, China.

Under the framework of payment for transboundary watershed ecosystem services (ESs), identifying midstream and downstream residents' preference and willingness to pay (WTP) for ESs provided by the upstream is crucial for sustainable watershed management. The residents' preferences and WTP are not evenly distributed within the watershed. This study uses a choice experiment assessing the spatial impact of physical distance (including residents' watershed location and distance to waterbody) and psychological distance on residents' preference and WTP for the Wei River Basin ESs. The results showed that midstream and downstream residents' preference and WTP for the ecological attributes have a significant distance-decay effect, either the physical distance to the upstream exit or physical and psychological distance to the waterbody. However, compared with the residents in the midstream, the residents downstream have a stronger preference and WTP for upstream ecological governance. Besides, the distance-decay effect differs between urban and rural residents. There is a psychological distance-decay effect in rural residents' preference for water quality and a physical distance-decay effect in their preference for water quantity, entertainment area, and cost; there is a physical distance decay effect in urban residents' preference for entertainment areas. The above differences lead to heterogeneity in WTP and total economic value (TEV) for ESs. When calculating the TEV of the transboundary watershed ES and charging the public, policymakers should consider the location of the residents, the physical and psychological distance to the water body, and the difference between urban and rural areas.

Regulation and decarbonization: how can environmental regulations more effectively facilitate industrial low-carbon transitions?

Environmental policies play an important role in the process of industrial low-carbon transition in developing countries. From the perspective of the impact condition and mechanisms, we discuss how to improve their effectiveness to give full play to the positive impact of environmental regulations. Based on provincial industrial data from 2003 to 2019 in China, this study uses a threshold regression model and endogenous regression to reveal the impact condition and mechanisms of environmental regulations on industrial low-carbon transition. The results suggest that (1) technological innovation capability and cost-bearing capacity are the key conditions for environmental regulations to exert a positive impact on low-carbon transition. (2) Environmental regulations have a positive impact on low-carbon transition through technological innovation (technology), resource reallocation (capital), and skill premium (labor). Research on the implementation conditions and mechanisms of environmental regulations will help policy-makers formulate appropriate and reasonable environmental regulations and eliminate the obstacles between environmental regulations and low-carbon transition, while an assessment of China's environmental policies will provide a reference for environmental governance in other developing countries.

Farmers' adoption behavior of conservation tillage technology: a multidimensional heterogeneity perspective.

Adopting conservation tillage technology can promote sustainable agriculture development. There have been many studies on all farmers' conservation tillage behaviors, but few studies are based on a farmer's multidimensional heterogeneity perspective. Given the background, we conduct an empirical evaluation using micro survey data from 819 households in the middle and upper reaches of the Yellow River Basin. This paper uses the entropy method to classify farm households into three types: economically dominant, resource dominant, and socially dominant. Furthermore, we use the Heckman sample selection model to discuss the factors that affect the adoption of conservation tillage technology by different types of farmers. The results show that land fragmentation degree can inhibit economically dominant farmers conservation tillage technology adoption behavior. Social relations can positively influence resource dominant farmers. The share of non-farm income will positively impact socially dominant farmers. This paper further proposes policy implications, based on the findings that different types of farmers have various factors influencing conservation tillage technology adoption behavior.

Informal Institutions Moderate the Relationship Between Environmental Emotion and Grassland Governance Behavior.

Clarifying the behavior motivation of herders participating in grassland governance has important theoretical and practical significance for the construction of ecological civilization and economic development in pastoral areas. Based on the data from 425 households in the Inner Mongolia Autonomous Region, this paper constructs a Double-Hurdle model to explore the impact of informal institutions and environmental emotion (individual emotion, collective emotion, and intergenerational dependence) on herders' grassland governance. The results show that informal institutions promote herders' willingness and payment for participating in grassland governance, and collective emotions hinder herders' participation, showing a "free-ride" mentality. Informal institutions moderate the relationship between collective emotions and grassland governance behavior. Informal institutions also help herders understand the collective sense of responsibility and morality behind grassland protection, thereby reducing the "free-ride" mentality. Therefore, it is necessary to maintain the informal institutions' role as a "glue" in the traditional culture of pastoral areas and to promote the realization of policy goals.

Spatial-temporal and structural differences in the carbon footprints embedded in households food waste in urban and rural China.

Household food waste (HFW) accounted for about 66% of global food waste's total carbon footprints (CF). Based on China's macro-panel food consumption data, this paper measures the urban-rural and provincial differences in the HFW CF from scale, structure, and temporal-spatial evolution perspectives. The results indicate that HFW and CF continue to grow, and the total CF and per capita HFW in urban households are higher than in rural households. The structural differences between urban and rural HFW CF vary significantly over time and spaces, which reflected that rural households in the southeastern coastal areas have higher per capita HFW CF than urban in 2019. The research results help to clarify the distribution and evolution pattern of HFW CF in China and offer new ideas for the differentiated governance of CF reduction in the food system.

Path relationship of consumers' perceived susceptibility and severity of health problems with their purchase of buckwheat functional foods in China.

Although the nutritional and health benefits of buckwheat foods have been widely discussed and evaluated, studies on consumer perceptions of the health benefits of buckwheat functional foods and how these perceived benefits influence their consumption are scarce. On the basis of the theory of planned behavior, this study aimed to explore consumers' purchase intention and behavior toward buckwheat functional foods while assessing the impact of their perceived susceptibility and severity of health concerns on the purchase decisions for such foods. Using data from 1077 participants collected in person from Southwest China, we compared the influencing factors between consumer groups based on whether they were aware of the nutritive and health benefits of buckwheat. The results indicated that, apart from consumers' perceived behavioral control, their perceived susceptibility and perceived severity of three selected common health problems, perceived value and efficacy of buckwheat, and subjective norms were strong predictors of consumers' purchase decisions. Moreover, perceived susceptibility and severity were effective antecedents of the perceived value and efficacy of buckwheat, respectively. Consumers aware of buckwheat's nutritive and health benefits of buckwheat were less affected by perceived efficacy. This study highlights that the higher the susceptibility to the three selected common health problems, the greater the internal and behavioral changes toward the purchase of buckwheat functional foods. These findings reveal factors affecting consumers' healthy eating beliefs, which can be beneficial for both policymakers and marketers in formulating healthy diet policies and strategies in developing countries.

Agricultural Economic Evidence and Policy Prospects under Agricultural Trade Shocks and Carbon Dioxide Emissions.

With the development of the market economy, agricultural trade has become more and more significant for the development of the agricultural economy, which has triggered people's further thinking and exploration on the impact of agricultural trade on agricultural carbon emissions. This paper takes the measurement of trade implied carbon as the carbon dioxide emission index under the impact of agricultural trade and analyzes the impact of trade implied carbon and implied carbon balance on carbon emission. Taking the impact of Sino-US agricultural trade as an empirical background, this paper measures the impact of environmental changes in agricultural trade opening on China's agricultural development and its carbon emissions, so as to predict changes in China's regional agricultural carbon emissions performance. After calculation, it is found that the scale of China's exports has decreased by 0.089%, which is lower than the decline of 0.361% in the United States. The trade conflict has a significant impact on China's import and export structure. Under the scenario of mutual tariffs on agricultural products, China's exports to the United States are expected to decrease by 6.28%, while China's imports from the United States decreased by 13.02%. The Sino-US agricultural trade dispute will reduce China's carbon emissions by 0.013% and the United States' carbon emissions by 0.024%, which is related to the negative impact on the economy. Improving the performance of agricultural carbon emissions is not only the need for the green and sustainable development of the agricultural economy but also conducive to improving the international competitiveness of agricultural products.

Performance Evaluation Model of Agricultural Enterprise Technology Innovation Based on GA-BP Neural Network.

With the continuous development of my country's economy and society, how to effectively evaluate the technical innovation performance of agricultural enterprises has become the focus of research. This paper firstly processes and analyzes the technical innovation performance data of agricultural enterprises, and then processes and converts the technical innovation performance data of agricultural enterprises; then, through the analysis of the technical innovation performance data of agricultural enterprises, the key characteristics of the technical innovation performance of agricultural enterprises are excavated. Finally, a performance evaluation model based on agricultural enterprise technology innovation is proposed, and the validity of the model is verified with examples.

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 24.6 %. The carbon footprint intensity (CFI) indicated an evident spatiotemporal heterogeneity and transferred over time, with an average growth rate of 19.82 %. The CFI Theil index and its contribution rate both confirmed that intra-regional difference is the main source of the overall difference, among which, the CFI Theil index displayed the distribution feature of "western (11.50 %) > central (11.12 %) > eastern (10.56 %) > northeast (6.61 %). The contribution rate of CFI illustrated the spatial pattern of "eastern (33.74 %) > central (21.07 %) > western (19.87 %) > northeast (5.24 %). Furthermore, the influencing effects of GDP per capita, planting structure, population density and urbanization level on CF and CFI also demonstrate evident spatiotemporal heterogeneity.

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. In this study, we evaluated the impact of study area elevation (a spatial attribute) on residents' willingness to pay for rehabilitation of environmental attributes. The study incorporates 6 ecological attributes in order to examine the differences in people's willingness to pay at various elevation levels. A total of five cities and 33 surrounding villages and townships were surveyed, while five elevation groups were made on an ad hoc basis to split samples, i.e., 1000-1600 m, ≤1600-2200 m, ≤2200-2800 m, > 2800-3400 m, and 3400-4000 m. The results of the mixed logit model recognized that people living at different elevations value rehabilitation of varying environmental attributes differently. For example, the inhabitants in Group 1 (1000-1600 mm) are willing to pay RMB 6.70 per year for biodiversity upgrades; while the WTP of the people for the same attributes is RMB 32.68 in Group 5 (3400-4000 mm). The Krinsky Robb approach confirmed that agricultural product quality and greenhouse gases (GHGs) were the most highly valued attributes, with a willingness to pay of RMB 90.40 and RMB 47.17, respectively. Applying these results as a reference for sustainable improvements and uplift of deteriorated ecological qualities is an example of how they may be helpful in bettering the world.

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. The results show that China's AGTP showed a trend of first rising and then falling, and the average value is 1.0525. AGTP has obvious regional unbalanced development, and the regional differences are expanding. It shows that AGTP between adjacent areas is closely linked. The Moran's I index shows that AGTP has a significant positive spatial correlation. The local Moran's I index shows that AGTP is concentrated in Northwest, Northeast, and North China, and green technological is degraded in East and South China. From the spatial spillover effects of AGTP, the level of agricultural economic development, real GDP per capita, and urbanization have significantly promoted AGTP in the local and neighboring areas, while the agricultural internal structure and the level of labor inhibit AGTP in the local and neighboring areas. In addition, the administrative environmental policy (ENVP) and the economic environmental policy (ECOP) have negative impacts in neighboring areas, while the policy has negative spillover effects and positive spillover effects in the local area, respectively. Therefore, we should adhere to the concept of green development, pay attention to the regional exchange of green technology, concentrate policies on low-low concentration areas, and increase the follow-up tracking and supervision mechanism of the policy design and implementation process.

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 0.58% during the study period, with reductions of 1.07%, 0.29%, 0.79%, and 0.46% in the Eastern, Western, Central, and Northeastern regions, respectively. In the meantime, the resources drag effect changed in individual regions and across regions. The results on energy drag are most notable. Policies such as "West-to-East Electricity Transmission" and "West-to-East Gas Transmission" promoted economic growth of the Eastern and Western Region, facilitating continued growth in both regions and attracted the return of labor to the Western region. The results indicate that the policies such as west-to-east energy transfer for helping to even out the economic growth conditions in different regions. Labor force mobility has also been important to alleviate resource dependence of agricultural production in Central regain, while other regions have managed to continually grow through improvements in inefficiency. Also, growth in some regions/provinces continues to depend upon increases in water, land, and energy availability and export. This will become increasingly problematic as the social prices of these inputs rise to account for environmental damage. Therefore, the government should adjust the industrial structure of each region to optimize use of resource endowments, alleviate dependence on natural resources, and achieve sustainable economic development.

Effects of social interactions and information bias on the willingness to pay for transboundary basin ecosystem services.

Payments for watershed ecosystem services are the most important forms of global water environmental protection. Transboundary basin ecological compensation policies in China are mainly based on the central government's appropriation to local governments or transfer payments between local governments. However, watershed ecosystem services face many problems such as the lack of interprovincial horizontal compensation policies and insufficient public participation. Most of China's rivers are distributed in vast rural areas, and the livelihoods of farmers living in these areas are highly dependent on the water environment. Since a watershed usually spans multiple administrative regions, the inconsistency between the natural and administrative boundaries of the river affects the completeness of the ecosystem services' information exchange between the service providers and payers. To promote interprovincial government water management cooperation and spark the farmers' enthusiasm for participating in the payments for watershed ecosystem services, this study examines the mechanism by which social interactions can affect farmers' willingness to pay (WTP) by mitigating the information bias. The results show that information bias plays a mediating role in the effect of social interactions on WTP. Additionally, the cadres/associations' and village-level interactions can effectively reduce the information bias of farmers, thereby increasing their WTP for transboundary basin ecosystem services. Moreover, the intensity of the psychological ownership of the watershed and government credibility have a significant moderating effect on the above-mentioned mechanisms. This study suggests that it is necessary to broaden the source channels of farmers' information on upstream ecological governance, improve the completeness of farmers' information, and curb the negative impact of information bias on WTP. Simultaneously, it is necessary to improve the government credibility and cultivate the farmers' sense of belonging and responsibility toward the watershed.