Human activities and environmental deterioration have resulted in land use transition (LUT), which seriously affects the ecosystem service value (ESV) of its region. Therefore, relevant policy measures are urgently needed. Nevertheless, research on the relationships between LUTs and ESVs from the overall watershed scale is lacking. Thus, the geo-information Tupu method was applied to analyze the dynamic patterns of LUT based on land use data from 1990, 2000, 2010, and 2018 of the Yellow River Basin (YRB). Then, a newly revised ecosystem services calculation method was utilized to the responses of ESV to LUTs. The results indicated that the Tupu units of the LUT were mainly based on the mutual transformation of grassland and unused land, and cultivated land and forestland, which were widely distributed in the upper and middle reaches of the basin. The spatial distribution was concentrated, and the expansion’s trend was also obvious. Moreover, the conversion of cultivated land into construction land was mainly distributed in the lower reaches of the basin. During 1990–2018, the total ESV fluctuated and increased (+10.47 × 10⁸ USD) in the YRB. Thereinto, the ESV of grassland (45%) and forestland (30%) made the greatest contribution to the total ESV. As for different reaches, the ESV increased in the upstream, but decreased in the midstream and the downstream. In terms of contribution rate, the conversion of unused land into grassland (12.477%) and grassland into forestland (9.856%) were the main types to enhance the ESV in the YRB, while the conversion of forestland into grassland (−8.047%) and grassland to unused land (−7.358%) were the main types to reduce the ESV. Furthermore, the range of ecological appreciation zones was widely distributed and scattered, while the range of ecological impairment zones was gradually expanded. These findings could have theoretical support and policy implications for land use planning and environmental services in the YRB.

Sustainable intensification practices (SIPs) involve a process to produce high yields for existing land without affecting the environment. The significance and relevance of SIPs in a Pakistani context demands an investigation. Hence, this study takes the initiative to investigate the determinants regarding the adoption of these practices. Based on the evidence, we selected five SIPs, namely, improved seeds, organic manure, crop rotation, intercropping, and low tillage. Furthermore, this study analyzes the adoption of SIPs with randomly collected data from 612 farmers through multistage sampling. A multivariate probit model (MVP) is employed to analyze the mutually dependent adoption decisions and identify the factors associated with them. The results revealed that education, the area under cultivation, access to information, extension access, social participation, rainfall variability, and temperature increase significantly predict the adoption of SIPs. The adoption of organic manure and crop rotation was highest between all the ecological zones, whereas low tillage was the least adopted practice. Adoption intensity in mixed cropping zones was slightly higher than the other ecological zones. Moreover, the findings also reveal the important synergies amid natural resource management and input-based SIPs. Hence, the study highlights the perseverance and importance of social groups and recommends the government to formulate comprehensive policies to facilitate institutional access and elevate the adoption level amongst the farming community.

In the wake of recent climate changes, extension services have become crucial drivers in disseminating information about the latest agriculture technologies and facilitating sustainable agricultural productivity. Pakistan’s traditional extension cannot yield the expected outcomes which corroborate the introduction of a participatory approach, mainly in farmers’ field schools. Using farm-level data from Punjab province, the current study examined the impact of farmers’ field schools (FFS) on adopting sustainable agriculture practices (SAPs) and citrus yield. The study employed recursive bivariate probit and propensity score matching to explore the objectives. The findings revealed that FFS participants had a higher SAPs adoption than non-participants, demonstrating the positive impact of FFS on the uptake of SAPs. Moreover, the treatment effect showed that FFS participants had a higher yield than the non-participants. The results suggest strengthening and enhancing FFS reach among citrus growers.

Climate change adaptation is increasingly recognized by subsistence farmers in Pakistan. The problem of climate change is severe, and smallholders are often resource constrained when it comes to adapting to it. However, such constraints can be overcome through collective responses. Therefore, it is necessary to evaluate the impact of collective action among smallholder farmers to determine how it influences local adaptation processes. This study explores the impact of farmer’s collective action groups (CAGs) on adopting climate-smart agricultural (CSA) practices in poverty-stricken areas of rural Punjab, Pakistan. The data was collected through a cross-sectional survey, and for the analysis purpose, the Recursive bivariate probit regression (RBP) model was employed. The first stage estimates of RBP models suggest that the farmer’s decision to participate in CAGs is mainly influenced by factors such as education, credit access, climate change risk perception, and peer influence. The second stage estimates showed a positive and significant impact of farmers’ participation in collective action groups on adopting climate change adaptation strategies across all three models. The study concludes that the farmers participating in collective action groups have a higher climate change adaptation level. It is recommended that the pro-poor policies be designed to negate the entry barriers, facilitate the inclusion of the farmers in the collective action groups, and enhance climate change adaptation among smallholders.

Amid recent climate difficulties, integrated soil fertility management (ISFM) strategies are vital in restoring soil fertility, enhancing yield, and achieving the farmer community’s well-being. This study examines ISFM’s adoption and impact on wheat yields in Punjab, Pakistan, by employing an endogenous switching regression model (ESRM). The selection equation highlights the multiple factors such as age, gender, education, extension access, credit access, and social influence as essential predictors of ISFM adoption. Treatment effects showed that the average wheat yield is higher for adopters. The findings suggest refining the current institutional system will enhance adoption and food security by improving agricultural production.

This study investigated the impact of China’s agricultural subsidy policy on farmers’ commercial production, indicated by sales market participation. A nationally representative survey data, panel Tobit model, IV Tobit model, and the Correlated Random Effects (CRE) approach were used. The findings reveal that farmers receiving agricultural subsidies have improved crop sales’ share of total output value. Mechanism analysis reveals that agricultural subsidies have driven up farmland scale and increased agricultural labor supply in production, incentivizing the motive for profit maximization among farmers. Meanwhile, agricultural subsidies also encourage farmers to cultivate more grain crops. Policymakers should continue deepening the reform of agricultural subsidies and promoting farmer specialization and commercial production. Moderate-scale operation of farmland should be one of the targets of agricultural subsidies.