Oasification and desertification are two essential processes of land use and cover (LULC) change in arid regions. Compared to desertification, which is widely regarded as the most severe global ecological issue, the importance of oasification has not received universal recognition. However, neglecting oasification can lead to detrimental outcomes to the effectiveness of ecological governance by affecting the comprehensiveness of environmental policies proposed only based on desertification. Therefore, this study incorporates oasification into the examination of desertification by analyzing land use data for five representative periods spanning from 1980 to 2020, as well as socioeconomic and environmental data from 2000 to 2010. The aim is to evaluate the spatial and temporal dynamics of oasification and desertification in the Manas River Basin and identify the underlying factors driving these processes. The findings indicated that (1) the general trend of oasification and desertification exhibited the expansion of oases and the retreat of deserts. Specifically, the oasification area showed a “decrease-increase-decrease” pattern over time, while the desertification area consistently decreased. (2) In terms of spatial distribution, oasification and desertification displayed a transition from scattered and disordered patterns to an overall more organized pattern, with the hotspot area of desertification shifting from Shawan County to Manas County over time. (3) Population density, average land GDP, soil type and annual precipitation significantly influenced the degree of oasification, with driving force q-values above 0.4, which were the key factors driving oasification. Population density and average land GDP significantly affected the degree of desertification, with driving force q-values above 0.35, which were the key factors driving desertification. The driving force of all factors increased significantly after the interaction, and socioeconomic factors influenced oasification and desertification more than other factors. The study’s findings aim to provide a scientific basis for land resource use, ecological governance and sustainable development in the Manas River basin.

Open innovation (OI) has great significance in innovation management. OI builds a bridge between firms and other organizations, which can help firms to quickly integrate into value chain innovation and discover the value stored in external resources, and thus can improve the performance of firms. The Chinese economy is accelerating its high-quality development. In this process, the importance of social capital is emphasized. However, less evidence is provided to discuss whether and how social capital from the resource perspective affects OI and firm performance. Therefore, we constructed a moderating model to deeply examine the mechanisms of the two models of the effects of inbound OI and outbound OI on firm performance and the impact of multidimensional social capital within it from the resource perspective. Our sample comprises 6899 observations of 1850 A-share listed manufacturing firms in China from 2016 to 2020. Considering the lag of resources into firm profitability, we decided to lag the firm performance by one year behind other indicators, so the sample data cover the period of 2016–2021. Then, we used Excel 2019 to complete the calculations of indicators and used multiple regression analysis of STATA17 to test the hypotheses. It is found that inbound and outbound OI have an inverted U-shaped relationship with firm performance. Institutional and technological social capital positively moderates the relationship between inbound and outbound OI and firm performance. Compared with the other two types of social capital, market social capital is the most widely owned among the sample firms, but its moderating effect is insignificant. The findings enrich and expand theoretical research on OI and firm performance and guide firms to implement OI, promoting their sustainable development.

The rational allocation of land use space is crucial to carbon emissions reductions and economic development. However, previous studies have either examined inter-objective trade-offs or intra-objective trade-offs within a single objective and lacked multilevel and comprehensive studies. Therefore, this paper integrates inter- and intra-objective carbon mitigation and economic efficiency trade-offs to comprehensively study the interaction between land pattern demand and space due to policies. The research methods were mainly multi-objective planning, a gray model, and patch-generating land use simulation model, and the study area was the less-developed urban agglomeration—the Tianshan north slope urban agglomeration. The results of the study show that the total change area of the study area from 2000 to 2020 was 5767.94 km², the grassland area was transferred out the most, 3582.59 km², accounting for 62.11%, and the cultivated land area was transferred in the most, 3741.01 km². Compared with 2020, the simulated land use pattern obtained for 2030 has significantly changed. In addition, the total economic benefits and total carbon emissions under the economic and low-carbon objectives changed in the opposite direction. The four landscape patterns under the three scenarios of economic and low-carbon objectives changed in the same direction, and the degree of landscape fragmentation, agglomeration, and regularity under the low-carbon objective was better than that under the economic objective. The study results are essential references for future land resource management, carbon mitigation, and sustainable development of urban agglomerations.