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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., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

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., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

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., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

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., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

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., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

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., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

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., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

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., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Climate change disrupts the balance of natural ecosystems and threatens the sustainable development of human society. As the leading industry in many countries, manufacturing promotes economic growth; unfortunately, it also emits large quantities of greenhouse gases. Thus, it is necessary to transform the production pattern of manufacturing into green production. Although technology innovation is the only way to tackle the issue, different types of technology innovation may lead to various environmental performances. We argue that low-carbon technology innovation (LCTI) is the key to green production. Using data of Economic Co-operation and Development (OECD) countries from 1990 to 2014, we use the patent-stock method to measure LCTI levels and analyze its development trend in OECD countries. Based on the shepherd distance function, we measure carbon efficiency and carbon productivity by the fixed-effect Stochastic Frontier Analysis (SFA) model. Then we investigate the effect of LCTI on carbon emission efficiency in manufacturing by the fixed-effect regression model. After controlling some variables, evidence shows a significant positive influence of LCTI on the environmental performance of manufacturing. The level of LCTI constantly increased in OECD countries during the study period. Among these countries, the level of low-carbon technology in the chemical industry is the highest; in most countries, the low-carbon technology of the production process grows fastest. Policy implications are further discussed., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

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 15.1% and 0.312, both had a lot of room for improvement. Furthermore, it was found that household's characteristics, family characteristics, agricultural management characteristics, social characteristics, and cognitive characteristics significantly affect smallholders' AGPT adoption, and the AGPT adoption significantly increased the TE of rice production by 18.8 to 24.5%. Besides, farmers with older age, less education, more specialized planting, more fragmented land, and more off-farm employment adopting AGPT could significantly improve the TE; the increase proportion was 29.8%, 29.5%, 21.3%, 27.2%, and 16.8%. The study also showed that the AGPT could not significantly increase the rice output value of smallholders. In addition, considering the endogeneity problem caused by sample selection bias, the study re-estimated using the endogenous transformation regression (ESR) model which showed that the promotion of AGPT to TE was still robust. The study puts forward policy recommendations on how to further promote the adoption of AGPT and improve the TE by farmers., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

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." (iii) The dynamic evolution of CEI and CEPC curve presents polarization or multipolar differential phenomenon accompanies with distinct gradient characteristics, the regional difference of agglomeration level in CEI is gradually narrowing, while the CEPC gradually expanding and the dispersion level is increasing, which implies the "intra-regional convergence and inter-regional divergence." Consequently, differential carbon reduction policies have been put forward according to the study findings., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Improving the ecological efficiency of farmland use (EEFU) has become an important part of ensuring food security and solving environmental pollution problems. At present, the Chinese government is actively promoting large-scale farmland transfer to reduce the level of farmer-/plot-scale farmland fragmentation (FF), so it is crucial to clarify the effect of landscape-scale FF on EEFU. This study applies the non-dynamic panel and threshold models in an empirical study of the municipal administrative regions along the Yangtze River Economic Belt (2000, 2005, 2010, and 2015). The results reveal that there is a single threshold for the effects of area, shape, and distance fragmentation on EEFU with farmland area per capita (FAPC) as the threshold variable. The threshold values are 1.548, 1.373, and 1.542, respectively. The effects of area and distance fragmentation on EEFU are initially promoted and then suppressed; however, shape fragmentation always has an inhibitory effect on EEFU. These findings suggest that ignoring the condition of FAPC of different regions and promoting large-scale farmland transfer blindly will give rise to the decline of EFFU. These results are conducive to the sustainable utilization of farmland and the formulation of related policies.

An objective understanding of the current situation and influencing factors of rural green development in China is an important prerequisite for effective formulation making of green development policies. Based on the panel data of 31 provinces of China from the year 1997 to 2017, this paper constructs and measures the rural green development efficiency (RGDE) based on Driving-Force, Pressure, State, Influence, Response (DPSIR) model and super-efficiency slacks-based measure (SBM) model. The results show that, the overall RGDE in China is fluctuating and rising from 1997 to 2017, and there are some differences between and within regions. The RGDE in developed areas is higher than that in developing areas, and coastal areas are higher than that in inland areas. The entire country, eastern, central, and western regions show σ convergence, which indicates that the RGDE is getting better, but there is no absolute β convergence, that means there is no "catch-up effect" between regions, but the gradient divergence showed central > eastern > western. At the same time, there is no conditional β convergence; the initial RGDE has a positive impact on the growth rate of RGDE, and the financial self-sufficiency rate promotes the growth of RGDE of the whole country and the western region, but inhibits the improvement of RGDE of the eastern region. The per capita GDP, mechanization degree, and agricultural industrial structure in rural areas did not promote the growth of RGDE. Based on the results, this paper puts forward some policy suggestions, such as promoting the classified implementation of rural green development policies, strengthening the top-level design, optimizing the existing agricultural mechanism and system, and guiding and standardizing the farmers' green production behavior.

In Bangladesh, the recent uncontrolled growth of industries near farmland and unplanned urbanization made the agricultural sector the most vulnerable and a massive threat to the food security of the country. Agricultural farms near to industrial zones face high production costs (poor air-water-soil quality, high labor cost) and low-profit margin (poor crop yield and crop loss due to frequent natural hazards). The government policy in this matter is not proper due to a lack of information. As a consequence, many of these farm owners adopt agricultural credit by themselves to manage the production cost. Basically, credit itself creates some other financial risks and the farmers needed to adopt different measures to handle these financial risks. In-depth research on this matter is important to improve the situation by providing relevant information that policymakers can plan an efficient policy framework. However, previous literature has overlooked this area of research. In this study, the researcher collected data on 400 rice farmers (debtors) from six different districts in greater Dhaka division (most degraded area in Bangladesh) and adopted probit model to analyze the influential factors affecting farmers' financial risk management adoption decision and to identify the correlations between these decisions. The empirical findings indicate that education, access to technologies, household income, savings, and distance from the industrial areas are the major factors that affect farmer's adoption choice and most of the farmers are risk-averse. Moreover, the adoption choice of one risk management tool may motivate farmers to adopt another.

Valuation of environmental goods and services are frequently spatially heterogeneous, the significance of this heterogeneity for policy analysis is gradually recognized. For the valuation of environmental goods and services in the context of attaining a better environmental status across Heihe River basin (HRB), Northwest of China by 2020, a survey was conducted employing choice experiment approach across the entire river basin. In this research we estimate the impact of distance from inland rivers' origin (spatial attribute) on the inhabitants' willingness to pay for restoration of ecological attributes. A total of 11 ecological attributes were selected including 6 land related attributes and 5 water related attributes. The present study displays the outcomes of the research planned to examine differences in willingness to pay across different locations/distances. A total of five cities and 33 surround villages/townships were included to examine for location effect, while four ad hoc base distances split samples were recognized for distance effect i.e. ≤100 km, ≤200 km, ≤300 and > 300 km from rivers' origin. The results of mixed logit model recognized that people living at different locations value the attributes differently. For instance the people of Zhangye region are willing to pay RMB 95.66 annually for improvements in biodiversity while in Gaotai the individuals' willingness to pay (WTP) for the same attributes was RMB 45.68. Similarly, the respondents' living nearer to the origin of river were willing to pay relatively higher amount for the upgradation in the degraded ecosystem services than the remainders. The results of willingness to pay obtained by Krinsky Robb method confirmed that the attributes quality of agricultural products and water quality were the most preferred attributes with the willingness to pay RMB 91.09 and 122.89 respectively. The significant results of willingness to pay may serve as a reference for sustainable improvements and uplifting of the degraded ecological attributes.

The growing appreciation of distance decay as an important parameter necessary for estimating willingness to pay (WTP) is hugely recognized in the literature. In this paper, we estimated the extent to which distance decay and individual's socioeconomic characteristics influence the WTP for restoration of environmental quality attributes in the Heihe River Basin. A choice experiment technique was used to evaluate the household's WTP for the improvements in local environmental attributes. The results of mixed logit model significant impact of distance on the individual's WTP for the improvements in environmental attributes. Findings of the study revealed that people living within 25 km from the river are willing to pay more for an increase in the river water quality level, a reduction in sandstorm days, and an increase in the area of the east Juyan Lake than the people living within the range of 50 km and much more compared to 50 km away from the river. Based on the socioeconomic characteristics, it is concluded that the level of education, age, household's annual income, and household size have a significant effect on the WTP. Results of the implicit prices for each attribute showed the preferences of the inhabitants for every attribute, where the highest WTP in pooled data was recorded for river water quality level (i.e., RMB 124.81/year) and the lowest for leisure and entertainment (i.e., RMB 0.40/year). The highest WTP for water quality suggests that water quality level was the most favored attribute compared to others, subject to the given conditions of water quality and the river basin.

This study mainly focuses on welfare impacts from improving considerably degraded river stretches of Heihe river basin and to determine the impact of spatial heterogeneity on willingness-to-pay (WTP) for integrated river basin management (IRBM). The significant WTP values for ecological attributes improvement revealed that the respondents of Heihe river basin significantly support the integrated ecological restoration program. However, socioeconomic characteristics and residential location have a significant impact on WTP values for different ecological attributes. The results demonstrate that water quality is the most preferred variable among all the river attributes in the study area. For example, in Zhangye, Gaotai, Ejinaqi, Minle, and Sunan the respondents were willing to pay 90.6, 160.44, 377.15, 65.40, and 139.21 Yuan per year, respectively, for a one-grade improvement in current water quality. Our findings also show that all the major counties of the basin concern more about water quality representing the relative importance of river water and express the maximum WTP for its improvement, while all major counties also share a low WTP for improvements in conditions of the leisure and entertainment. The differences in socioeconomic characteristics and ecological status of the respondents partially explain the disparity in utility from IRBM. In conclusion, the results based on only specific sub-basin of river basin may over or underestimate the welfare estimate.

Improvements in the ecological attributes of inland rivers have been projected to provide considerable non-market benefits, and the monetary valuation of these attributes has steadily increased over the past several decades. The present study addresses the spatial heterogeneity of the public's preference for ecological attributes and the distance-decay effect of willingness to pay (WTP) to improve various attributes of the river basin. The results revealed that spatial heterogeneity exists among the individuals; for example, the respondents of Liangzhou County prefer a large improvement in the natural landscape, forest coverage, and eco-tourism and are willing to pay 491.89, 369.32, and 338.37 yuan per year, respectively, for one unit improvement in these ecological attributes. Similarly, the respondents of Jinchang County value and are willing to pay 447.60, 431.81, and 318.18 yuan for one unit improvement in tourism, forest coverage, and natural landscape, respectively. Furthermore, the results from the random parameter logit model show a significant distance-decay effect of the household WTP for ecological attributes. For example, the respondents living within 5 km of the river are willing to pay more money, that is, 832.61, 365.62, and 353.05 yuan per year for improving the natural landscape, water quantity, and grass cover, respectively. As the distance from the river increases, the corresponding WTP decreases, meaning that the respondents (users) living near the Shiyang River Basin are willing to pay more for ecological attribute improvement than those living far away from the river.