Formulation Of Development Policies Research Articles

Klasterisasi Jumlah Penduduk Provinsi Jawa Timur Tahun 2021-2023 Menggunakan Algoritma K-Means

Understanding the population data of a region is crucial for policy development and strategic planning. East Java Province, the second-largest province in Indonesia, has undergone significant population growth from 2021 to 2023. Uneven growth poses challenges in resource and infrastructure management. The K-Means algorithm clusters population data into several groups based on specific characteristics. The Elbow method is used to determine the optimal number of clusters, ensuring the accuracy of the analysis. This research aims to analyze and cluster the population distribution in each city in East Java Province, providing a more detailed and accurate depiction. The research findings reveal three significant clusters. Cluster 0 includes 21 towns, Cluster 1 comprises 4, and Cluster 2 encompasses 13. These findings have important implications for targeted development policy formulation at the city level in East Java Province. Additionally, this study contributes to the development of demographic analysis and population management, using valid methods and consistent results between RapidMiner and manual calculations. In conclusion, this research provides a solid foundation for more effective development policy formulation in East Java Province, offering essential information for sustainable population management.

Research on the Accounting and Spatial Effects of Emergy Ecological Footprint and Industrial Green GDP--The Case of Yangtze River Economic Belt

The booming development of industrial enterprises at the cost of ecological resource consumption has inevitably harmed the ecological environment, especially since the phenomenon of water resource pollution is more serious. Exploring the relationship between the ecological environment and the industrial economy is crucial to the green and sustainable development of the region. This study uses the Spatial Durbin Model (SDM) to investigate the impact of emergy ecological footprint on the industrial green of gross domestic product (GDP) under the perspective of water resources, based on the panel data of 11 provinces in Chinas Yangtze River Economic Belt (YREB) from 2012 to 2021. The results show that first, the overall industrial green GDP of the YREB has increased year by year, and the effect of water resource protection is outstanding. Second, the emergy ecological footprint has a significant positive effect on industrial green GDP, and the spillover effect is also significant. Third, heterogeneity analysis shows that the spatial relationship between emergy ecological footprint and industrial green GDP is different in different regions, and the local effect and neighborhood effect of the high industrial green economic development areas are consistent with those of the YREB, while the relationship between the low industrial green economic development areas is not obvious. This paper is of great significance for the green development of industrial enterprises in the YREB and guides the formulation of sustainable development policies.

Catalyst or Obstacle? Green innovation and total factor energy efficiency

Green innovation possesses dual externalities of “innovation” and “environmental protection”, and enhancing energy efficiency serves as a crucial means to promote high-quality economic development. Building upon the energy rebound effect, we use the balanced panel data of cities at prefecture level and above in China from 2008 to 2018 to explore the impact of urban green innovation on total factor energy efficiency (TFEE). The findings of this study indicate that, firstly, the impact of green innovation on TFEE exhibits a positive U-shaped pattern, characterized by initial suppression followed by subsequent promotion. This conclusion remains robust after undergoing a series of rigorous robustness tests. Second, high-quality green innovation is found to reach the turning point more quickly, implying that substantial green innovation can cross the turning point in smaller quantities. Thirdly, on the whole, in comparison to non-resource-based cities, resource-based cities are capable of reaching the turning point at an earlier stage. Finally, the new energy demonstration cities have not yet reached the turning point, while the non-new energy demonstration cities have crossed the turning point. This study contributes novel insights into the relationship between green innovation and TFEE, which holds significant implications for the formulation and implementation of sustainable development policies.

Characterizing urban actively populated area growth in the Yangtze River Delta using nighttime light data

Understanding the spatiotemporal evolution of urban actively populated area (UAPA) in urban agglomerations is crucial for sustainable development. This study fills a gap in previous research that overlooked urban population dynamics, leading to inaccurate UAPA characterizations. We utilized nighttime light (NTL) data, which reflects both urban construction status and population dynamics, to characterize UAPA growth pattern in the Yangtze River Delta. We developed a novel search method for extracting UAPA that demonstrated greater accuracy and adaptability than traditional threshold method. We employed expansion rate (ER) and annual growth rate (AGR), and a method for recognizing urban expansion patterns, to illustrate the characteristics and spatial changes in the Yangtze River Delta. We divided the research stage (1992–2019) into six stages based on China’s Five-Year Plan. The results demonstrated that the UAPA size at the end of the sixth stage (2016–2019) was about 6 times greater than that at the end of the first stage (1992–1995). The ER and AGR were approximately 15% during the first stage (1992–1995), and dropped dramatically following the fourth stage (2006–2010). Edge expansion is a typical predominant spatial expansion pattern for UAPA. While the proportion of patches with newly generated expansion showed an initial upward and then a downward trend, the percentage of patches with infilling expansion exhibited a pattern of first decreasing and then increasing. This study aims to provide support for future development planning and policy formulation.

Eco-environmental changes due to human activities in the Erhai Lake Basin from 1990 to 2020

Human activities have increased with urbanisation in the Erhai Lake Basin, considerably impacting its eco-environmental quality (EEQ). This study aims to reveal the evolution and driving forces of the EEQ using water benefit–based ecological index (WBEI) in response to human activities and policy variations in the Erhai Lake Basin from 1990 to 2020. Results show that (1) the EEQ exhibited a pattern of initial degradation, subsequent improvement, further degradation and a rebound from 1990 to 2020, and the areas with poor and fair EEQ levels mainly concentrated around the Erhai Lake Basin with a high level of urbanisation and relatively flat terrain; (2) the EEQ levels were not optimistic in 1990, 1995 and 2015, and areas with poor and fair EEQ levels accounted for 43.41%, 47.01% and 40.05% of the total area, respectively; and (3) an overall improvement in the EEQ was observed in 1995–2000, 2000–2005, 2005–2009 and 2015–2020, and the improvement was most significant in 1995–2000, covering an area of 823.95 km2 and accounting for 31.79% of the total area. Results also confirmed that the EEQ changes in the Erhai Lake Basin were primarily influenced by human activities and policy variations. Moreover, these results can provide a scientific basis for the formulation and planning of sustainable development policy in the Erhai Lake Basin.

Measuring Villagers’ Perceptions of Changes in the Landscape Values of Traditional Villages

This study aims to analyze the perceptions and driving factors behind villagers’ changing perceptions of landscape values in the context of drastic landscape changes in traditional Chinese villages. Empirical evidence emphasizes the interplay between local residents’ values and the local policy framework. This study establishes a method to capture the landscape values and preferences of rural community residents by combining participatory mapping with questionnaire interviews. We identified the evaluation of changing landscape values by rural residents and extracted four categories of rural development orientations, namely, economic benefits, emotional culture, public participation, and environmental protection. Furthermore, we delved into the significant heterogeneity in landscape value changes among different social groups. This study highlights the role of villagers’ value judgments in guiding the scientific formulation of traditional village conservation and development policies and promoting the socially sustainable development planning of traditional villages. The research contributes to a more comprehensive understanding of the rural community’s needs and preferences for the local landscape as well as the convergence and divergence between these needs and the government-led rural development trajectory.

Optimizing the Valuation and Implementation Path of the Gross Ecosystem Product: A Case Study of Tonglu County, Hangzhou City

Ecosystem products and services are fundamental to human survival and development. The gross ecosystem product can be defined as the total value of products and services provided by ecosystems for human wellbeing and sustainable socioeconomic development. This includes the value of production system products, ecosystem regulation services, and ecosystem cultural services. The valuation of gross ecosystem product offers crucial technical support for constructing mechanisms by which to realize them, and it holds significant importance in promoting the comprehensive green transformation of economic and social development. In this study, we introduce the definition and accounting methods of the gross ecosystem product and explore the application of the gross ecosystem product and ecosystem asset accounting in ecological benefit assessment, using Tonglu County in Hangzhou City, Zhejiang Province, as an example. Finally, we provide recommendations by which to strengthen gross ecosystem product accounting and explore mechanisms for realizing ecological values based on this foundation. The results indicate that in 2021, the total gross ecosystem product value of Tonglu County reached CNY 55.129 billion, equivalent to 1.33 times the gross domestic product of that year. Among the various services, regulatory services contributed the most to the total ecological products, with climate regulation being the largest contributor at CNY 27.199 billion, accounting for 49.34%. Tonglu County boasts abundant natural resources, which hold significant value. By conducting an audit of the total ecological products, we can precisely determine the value of the ecosystem. This aids relevant departments in estimating the value of ecological products in Tonglu County’s ecosystem. Such information can support the formulation of ecological protection and sustainable development policies in Tonglu County, while also serving as a reference for estimating the total ecological products and enhancing the ecological value in other counties.

How Does Artificial Intelligence Impact Green Development? Evidence from China

Artificial intelligence not only changes the production methods of traditional industries but also provides an important opportunity to decouple industrial development from environmental degradation and promote green economic growth. In order to further explore the green value of AI, this paper constructs an indicator of industrial robot penetration at the regional level, based on the idea of Bartik’s instrumental variable, and measures green development efficiency using the improved Super-SBM model. Based on a comprehensive explanation of the influence mechanism, a spatial measurement model and mediating effect model are constructed to test the spatial spillover effect and transmission mechanism between AI and green development. This study shows that (1) there is a significant inverted U shape in the impact of AI on green development; (2) the heterogeneity analysis finds that the structural dividend of AI is more obvious in capital-intensive and technology-intensive areas, which can more fully release its empowering effect on green development; (3) AI can not only directly affect green development but also indirectly affect green development by promoting green technology innovation and optimizing industrial structures, etc.; (4) AI has a significant inverted U-shaped spatial spillover effect on green development, and the development of local AI has a radiation-driven effect on the green development performance of its spatially related areas. The research methodology of this paper can be used for future research, and the results could provide support for the formulation of regional AI applications and green development policies.

The Role of Employees’ Attitude Towards Quality Improvement Through the Mediating Effect of Leadership

Purpose: This study investigates the intricate relationships among employee attitude, leadership, and quality improvement within organizational contexts. Leveraging a robust analytical framework, the research examines the mediating effect of leadership between employee attitudes and quality improvement. Theoretical reference: The resource-based view serves as a managerial framework employed to identify the strategic resources that a company can leverage to attain a lasting competitive advantage. Methods: Applying a cross-sectional survey methodology, structured questionnaires were distributed to employees within the private sector of Saudi Arabia. The data analysis was conducted utilizing the PLS-based structural equation modeling method. Results and conclusion: The findings affirm the hypothesis that positive employee attitudes significantly shape effective leadership. Moreover, the study illuminates the influential role of employee attitudes in steering quality improvement initiatives. The interconnectedness of these constructs underscores the importance of cultivating a positive workplace culture to foster both effective leadership and continuous quality enhancement. Implications of research: This study contributes valuable insights to the understanding of organizational dynamics, emphasizing the pivotal role of positive employee attitudes in shaping effective leadership and driving quality improvement efforts. Practical implications extend to human resource management, leadership development, and organizational policy formulation. Originality/value: The study offers actionable insights for creating a workplace environment conducive to organizational excellence.

Collaborative Strategy in Improving the Quality of Extracurricular Services in Elementary Schools

The aim of this research is to find out the cooperation strategy for improving the quality of extracurricular services at MI Mambaul Ulum Bondowoso. This research uses a qualitative-descriptive approach. School leaders, teachers, and parents are informants who participated in this study. Data collection methods involve in-depth interviews, observations of educational activities, and document analysis. Source triangulation and data triangulation techniques are used to ensure the validity of the data. Research findings reveal some findings. First, extracurriculars can support each other and create holistic education. Second, integrated extracurricular service quality implementation also involves coordinated teacher resources, being a benchmark in reaching students with diverse motivations, and contributing to future development policy formulation.

Evaluation on evolution of spatial relationship between carbon emissions and economic growth in Beijing-Tianjin-Hebei region.

The Beijing-Tianjin-Hebei region is not only an important economic center in China, but also one of the major regions contributing to China's carbon emissions. Revealing the spatial distribution between carbon emissions and economic growth is essential for the formulation of low-carbon development policies. Following the principle from macro to micro, this paper investigates the spatial evolution trend and distribution characteristics between carbon emissions and economic growth in the Beijing-Tianjin-Hebei region from 2005 to 2020 by applying imbalance index model, the rank-scale rule, and decoupling index model. The results show that the imbalance index of carbon emissions decreased between 0.0601 and 0.0533 in a fluctuating way, indicating that the imbalance of spatial distribution of carbon emissions decreases. The imbalance index of economic growth increased between 0.0738 and 0.0851, indicating that economic growth has become more disequilibrated, and the spatial evolution of carbon emissions is not coordinated with economic growth. The Zipf dimension of carbon emissions declined from 1.1806 in 2005 to 0.9594 in 2020, and carbon emissions declined in big cities and increased in cities of the middle order. The Zipf dimension of economic growth increased from 1.1384 in 2005 to 1.2388 in 2020, and the economic growth monopoly in big cities increased. The decoupling coefficient of carbon emissions to economic growth declined, and the driving effect of economic growth on carbon emissions diminished. It is recommended that the Beijing-Tianjin-Hebei region should coordinate the allocation of factors and coordinate industrial adjustment. Hebei should accelerate industrial upgrading and establish a diversified industrial system.

Assessment of Smart Technologies in Regional Innovation Systems: A Novel Methodological Approach to the Regionalisation of National Indicators

Innovation systems consist of different organisations from the quadruple helix, as well as the interactions and linkages between them. Smart technologies and ICT play a key role in the efficiency of systems. At the same time, regional scale is considered crucial for studying innovation in systems. However, the lack of many important data at the regional level compounds the efforts to study them. The paper proposes a novel methodological approach to the regionalisation of national-level indicators in order to address this issue. This is based on the model fit approach, using regressions to “regionalise” national-level indicators based on similar indicators that are available. The approach is tested on the data for Greek NUTS 2 regions and produces regional-level estimates for four innovation indicators, based on four available indicators that are found to be strongly correlated to them. However, the same approach can be used for any EU country or the whole of the EU. The results, their prospects for future research, and potential applications are considered. Overall, the availability of regional-level indicators is considered crucial for the formulation of impactful development policies.

Have Pesticides and Fertilizers Improved Agricultural Development? The Threshold Effect Based on China’s Agricultural Film Usage

The use of agricultural films, pesticides, and fertilizers has increased in China, leading to the degradation of the agricultural ecological environment. Based on the panel data of 30 provinces in China from 2010 to 2021, this paper takes agricultural film usage as the threshold variable to study the impact of pesticide and fertilizer usage on agricultural development. The research results show that a single threshold effect of agricultural film usage is significant. When agricultural film usage is both a core and threshold variable, that is lower than the threshold value, every 1% increase in agricultural film usage will reduce agricultural output value by 0.9862%, and the impact is significant. When agricultural film usage crosses the threshold value, every 1% increase in agricultural film usage will increase agricultural output value by 1.1843%, and the impact is significant. When pesticide usage is the core variable, regardless of whether agricultural film usage is below or above the threshold, pesticide usage promotes agricultural development. Its impact is significant. When fertilizer input is a core variable, regardless of whether agricultural film usage is below or above the threshold, the use of fertilizers hinders agricultural development. The impact of fertilizer input on agricultural development is significant. Through empirical testing, this paper explores the deep relationship between agricultural film usage, pesticide usage and fertilizer input on agricultural development. These can effectively allocate agricultural production factors, transform the mode of agricultural economic growth, achieve the coordinated development of the ecological environment and agricultural economy and provide data support for the formulation of agricultural green development policies.

Unraveling interactions and priorities under sustainable development goals in less-developed mountainous areas: case study on the National Innovation Demonstration Zone for the 2030 Agenda for Sustainable Development, China.

Understanding the intricate relationships between progress and the United Nations' 17 Sustainable Development Goals (SDGs) is vital for informed and adaptable sustainable development policy formulation. This study focused on the Lincang National Innovation Demonstration Zone for the 2030 Agenda for Sustainable Development (LC-NIDZASD) in China. By evaluating sustainability scores at the county level from 2011 to 2020, the trade-offs and synergies among SDGs were explored. Priority SDGs for development were identified, and targeted recommendations were established based on these findings. The key findings are as follows: (1) The SDG index scores of Lincang and its counties showed an increase from 2011 to 2020, with scores riding from 42.1 to 52.2. SDG6 (Clean Water and Sanitation) and SDG12 (Responsible Production and Consumption) had the highest scores, while SDG1 (No Poverty) and SDG4 (Quality Education) increased significantly. However, the COVID-19 pandemic led to a decrease in the scores of SDG1, SDG8 (Decent Jobs and Economic Growth), and SDG17 (Partnerships for the Goals) in 2020 decreased compared to 2019. Decreased scores in SDG13 (Climate Action) and SDG15 (Life on Land) may be attributable to climate change. (2) The relationship between "Objectives" and ''Governance" appears to be synergistic, while ''Essential Needs" mainly shows a trade-off relationship with ''Objectives" and ''Governance." (3) To promote achievements in the construction of LC-NIDZASD, priority should be given to SDG3 (Health and Well-Being), SDG8, SDG9 (Industry, Innovation, and Infrastructure), and SDG12; SDG4 should not be ignored. (4) Overall, Lincang has made significant progress in sustainable development. However, to further consolidate these achievements, adjustments should be made for SDG7 (Energy Consumption and Production Structure). Efforts should be made to strengthen climate governance measures and improve warning and forecasting capabilities to promote the synergistic development of SDG7 (Affordable and Clean Energy) and SDG13 with other SDGs. This study's dynamic monitoring of changes in the SDGs in Lincang provides valuable insights into the synergies and trade-offs among these goals. Appropriate prioritization across various SDGs can allow for timely adjustments in sustainable management policies, ultimately contributing to the successful operation of the LC-NIDZASD.

Selection of the Use of Various Poverty Indicators in the Formulation of Development Policies in Papua Province 2002-2022

Poverty is a frequent topic of conversation. The purpose of this study is to examine the relationship between the poverty rate, the people living in poverty, the depth of the poverty index, and the severity of the poverty index in Papua Province from 2002 to 2022. Data analysis entails using descriptive analysis and correlation analysis techniques. While no clear association is found between the poverty rate indicator and the number of individuals living in poverty, a positive correlation exists between the poverty rate indicator and the poverty depth index. Additionally, there is a direct relationship between the poverty rate indicator and the poverty severity index, though with a low correlation coefficient. Conversely, no significant association is observed between the depth of the poverty index and the number of destitute individuals. Furthermore, a negative link is noted between the poverty severity index and the population of individuals living in poverty. Notably, a highly significant correlation exists between the depth and severity of the poverty index in Papua Province. The government of Papua Province should prioritize poverty reduction activities by selecting one of the four available alternatives. These tasks are required to achieve this requirement.

Spatial responses of ecosystem services to carbon emission efficiency based on spatial panel models in the Yangtze River Economic Belt

Enhancing carbon emissions efficiency (CEE) is one of the effective ways to improve ecosystem services (ESs) and achieve sustainable developments. For Yangtze River Economic Belt (YREB), China, achieving better CEE is essential after three decades of developments. This would require an integrated understanding of the relationship between CEE and ESs, which is spatially explicit. This study analyzed multi-source data between 1990 and 2020 in YREB with consideration to the spatial relationships between CEE and total ecosystem services (TES) and the spatial spillover effects of CEE. By adopting a spatial econometrics method, it further analyzed the spatial response mechanism between CEE and TES, which is important for developing sustainable land use strategies and managing ecosystems. The analyses showed that food productivity (FP), carbon sequestration and oxygen production rate (CSOP), water retention (WR), and soil conservation (SC) increased from 1990 to 2020. Moreover, the maldistribution of water systems and the difference in coverage of cultivated land and forestland together led to different spatial distributions of TES in YREB–a high TES cluster in the east and gradual decrease of TES toward the west. CEE throughout the region showed a slight upward trend, with the highest CEE exhibiting a congregated pattern in the middle and lower reaches. The overall spatial correlation between CEE and TES is significantly negative, and CEE has significant spatial spillover effect on TES, meaning that increased CEE in a specific region will lead to degraded TES in neighboring regions, which also presented empirically-supported recommendations for optimizing land use zoning and fostering sustainable development at a regional scale. And the study provides concrete evidence that TES is determined not only by CEE in-situ, but also surrounding regions. Therefore, the spatial negative spillover effects of CEE should be fully considered in the formulation of sustainable development policies, specifically in inter-regional cooperation.

A Prediction Hybrid Framework for Air Quality Integrated with W-BiLSTM(PSO)-GRU and XGBoost Methods

Air quality issues are critical to daily life and public health. However, air quality data are characterized by complexity and nonlinearity due to multiple factors. Coupled with the exponentially growing data volume, this provides both opportunities and challenges for utilizing deep learning techniques to reveal complex relationships in massive knowledge from multiple sources for correct air quality prediction. This paper proposes a prediction hybrid framework for air quality integrated with W-BiLSTM(PSO)-GRU and XGBoost methods. Exploiting the potential of wavelet decomposition and PSO parameter optimization, the prediction accuracy, stability and robustness was improved. The results indicate that the R2 values of PM2.5, PM10, SO2, CO, NO2, and O3 predictions exceeded 0.94, and the MAE and RMSE values were lower than 0.02 and 0.03, respectively. By integrating the state-of-the-art XGBoost algorithm, meteorological data from neighboring monitoring stations were taken into account to predict air quality trends, resulting in a wider range of forecasts. This strategic merger not only enhanced the prediction accuracy, but also effectively solved the problem of sudden interruption of monitoring. Rigorous analysis and careful experiments showed that the proposed method is effective and has high application value in air quality prediction, building a solid framework for informed decision-making and sustainable development policy formulation.

The development of seawater agriculture: Policy options for a changing climate

Being complementary to traditional agriculture, seawater agriculture uses seawater to irrigate salt-tolerant crops either on land or on the surface of the sea. Developing seawater agriculture is an important mitigation strategy to address food insecurity. This paper aims to define the policy options for the development of seawater agriculture, based on a marginal efficiency analysis of the seawater agricultural household economic optimisation model. The results indicate that, to develop seawater agriculture, the use of high-tech materials and advanced technology are required along with the use of market-oriented business philosophy and modern management tools to upgrade the agricultural system. In practice, the formulation of development policies regarding seawater agriculture should focus on four aspects: 1) Top-level design planning and optimisation regarding the spatial aspects of seawater agriculture development, 2) increasing fiscal and financial support as well as enhancing the capacity of science and technology, 3) strengthening environmental protection and improving the safety aspects of production, and 4) supporting the diversification of business models and promoting the synergetic development diversified businesses. Given the expected increases in the world population in the coming decades, the development of policy to support seawater agriculture may be a crucial driving force in delivering food security.

Future Scenarios of Firewood Consumption for Cooking in the Mexican Tropical Region

Within domestic food cooking, burning firewood in three-stone fires (TSF) is a common practice by more than 16 million users in the Mexican tropical climate region (CR-TR). This article aims to evaluate the implementation of improved firewood cookstoves (ICS) to replace TSF in the CR-TR by constructing firewood consumption scenarios covering 2018–2050. The results show that in CR-TR, with the implementation of ICS, the consumption of 354.95 PJ of firewood, 36.6 Mt of CO2e, 1.29 Mt of CO, and 163.78 kt of PM2.5 can all be avoided. The most important reduction in firewood consumption, CO2e emissions and CO and PM2.5 pollutants, occurs in exclusive firewood users and mixed users who utilize firewood as the primary fuel source, both of whom are low socioeconomic level in rural areas. Furthermore, most paying-for-firewood users often show negative mitigation costs and a high 50% IRR, while all non-paying-for-firewood users have mitigation costs ranging from 7.74 to 41.23 USD/tCO2e. At the end of the results section, we perform a sensitivity analysis of the relevant parameters, which complements this study. Therefore, implementing ICS will contribute to the solution of climate change, deforestation, and facilitate the formulation of sustainable development policies for the most vulnerable population sector of the Mexican CR-TR.

Non-State Actor's Strategy in Advocating the Movement to Reject Development Policy

Geothermal is one of the potential renewable energy sources in Indonesia. This great potential makes the government try to develop geothermal energy development, one of which is in Mount Talang. However, the development received a rejection from the community, including non-state actors. This study looks at the strategy of the YLBHI Padang Legal Aid Institute in advocating the movement against the construction of geothermal energy-powered power plants. The studying conducted for 6 (six) months. This research design uses qualitative methods. The data sources we collect are interview data, observation results, official texts or policies, journal articles, websites on the internet, newspapers, social media, and youtube. The advocacy strategies carried out by LBH YLBHI Padang are; understanding strategic issues, building opinions and facts to the public, building coalition networks with civil society such as local communities, NGOs, students, national networks, and academics, designing goals and strategies as well as monitor and assess movements. The result of the advocacy carried out by LBH YLBHI Padang was the "temporary" suspension of constructing a geothermal energy power plant in Mount Talang. This research ends with research recommendations such as the need for inclusive stakeholder involvement in the formulation of development policies and 2) the need to grow civil society in the regions to become non-structural control for the government.