Secondary Sector Research Articles

Agricultural tax reform, capital investment, and structural transformation in China

Identifying the driving forces of structural transformation is crucial for understanding economic development. In the early 21st century, China experienced a rapid labor shift from agricultural to non-agricultural sectors. This shift is often attributed to the industrial sector’s “pull” force, while the agricultural sector’s “push” force remains less understood. This paper investigates the role of the Agricultural Tax Exemption (ATE) reform in promoting inter-sectoral labor reallocation in China, which ended over two millennia of agricultural taxation on farmers. Our results show that the introduction of the ATE reform contributed to a significant increase in the share of non-agricultural workers. Mechanism analysis reveals that this reform encouraged capital investment among farmers and improved agricultural productivity, consequently displacing surplus agricultural workers. Further analysis shows that the labor reallocation induced by the reform had significantly increased employment and output within the secondary sector, although its effect on the tertiary sector was relatively minimal.

Does vocational education pay off in China? Evidence from city-level education supply shocks

China hosts the world’s largest secondary education sector: more than 14 million adolescents enrol in secondary academic and vocational schools every year. Despite the large literature on returns to education, little evidence exists as to how these two streams compare in the country. Using 2013 China Household Income Project data, we estimate the returns to secondary vocational education both at the mean and along the conditional wage distribution. We use instrumental variables based on the considerable variation in education provision across cities and years (and a 1995 policy reform). We find that vocational education generates a large wage premium (up to 54%), especially for those of lower earnings potential. Our findings indicate that vocational education can be a good option for those who do not wish to enter tertiary education, especially the less well-off.

Contribution of Rare Earth Elements Is Key to the Economy of the Future

An econometric model was developed to analyze the contribution of various factors to the gross value added to the agricultural, manufacturing, and service sectors in the United States. The study found that variables such as rare earth element mining, the employment it generates, the domestic consumption, imports, and prices of certain elements significantly impact economic sectors. The models showed a good fit and met the necessary statistical assumptions. Rare earth elements are essential for a wide range of technological products, with China being the leading producer and consumer. This has raised concerns about the dependence on other countries. These elements significantly impact the economy’s primary, secondary, and tertiary sectors used in agriculture, manufacturing, and services. Rare earth elements’ mining and processing are complex and expensive processes, and demand is expected to continue to increase in the future.

The impact of digital infrastructure on the geographical supply chain layout of firms —— Evidence from Chinese microdata

This study investigates how the development of digital infrastructure in China affects the geographical layout of supply chains of listed companies. This work finds that (1) The development of digital infrastructure has led to firms prefer suppliers or customers nearby, rather than looking for distant supply chain partners. (2) The development of digital infrastructure can reduce the costs of the firms, and improve their productivity. However, firms with cost reduction and productivity improvement will not expand the geographical scope of their supply chains. From the perspective of the concentration of supply chains, firms reduce their dependence on the top five customers and suppliers, indicating that with the support of digital technology, firms are willing to seek new partners to achieve closer and more diversified supply chains. (3) Heterogeneous analysis shows that firms with longer operational time, located in developed regions and eastern regions, or in primary and secondary sectors will choose a closer supply chain partner under the influence of digital infrastructure. (4) Extended analysis shows that digital infrastructure in neighboring cities will weaken the preferences of firms in those regions to find supply chain partners nearby.

The Spatiotemporal Decoupling Relationship between Economic Development, Energy Consumption, and Carbon Dioxide Emissions in Xinjiang Province from 2006 to 2020

Understanding the spatiotemporal decoupling effects among economic development, energy consumption, and carbon dioxide emissions is paramount to achieving sustainable development. This relationship sheds light on how regions can grow economically while managing their energy resources efficiently and minimizing environmental impacts. This study examines the critical and globally relevant issue of spatiotemporal decoupling that includes economic development, energy consumption, and carbon dioxide emissions in Xinjiang Province from 2006 to 2020. The Tapio Elasticity Analysis Method is utilized to achieve this objective. We found that the early years showed expansive coupling, reflecting a phase where economic growth was closely tied to increases in energy consumption and emissions. However, over time, particularly post-2010, there is a noticeable shift towards weak decoupling and eventually to more substantial forms of decoupling. The primary sector displayed mostly weak and strong decoupling. The secondary sector, however, showed fluctuating decoupling states. In the tertiary sector, a generally weak decoupling was observed. A spatial analysis across Xinjiang’s prefectures and cities revealed pronounced regional variations. This investigation validates the effectiveness of regional ecological policies and illustrates the necessity of tailored strategies to foster sustainable development. Our findings provide valuable insights not only for regional policymakers but also for international stakeholders aiming to achieve sustainable development. The results underline the importance of tailored strategies in different regions, contributing to the broader understanding of sustainable development dynamics.

Impact of sectoral economic performance and fiscal capacity on public health expenditure in South Africa

This study analyses the long-run relationship between, and the direction and magnitude of impact of sectoral economic growth and fiscal capacity on government health expenditure. The study was carried out to validates the Wagner hypothesis from sectoral perspective and revenue-expenditure hypothesis for South Africa for the period 1984–2020. Fully modified least squares and dynamic least squares and canonical cointegration regression were used to achieve the objectives of the study. Empirical regression results showed that there is a negative impact of the secondary sector GDP on public health expenditure. Thus, invalidating the Wagner hypothesis and suggesting that secondary sector GDP cannot serves as an answer for public health expenditure. However, there was a positive relationship between tertiary sector GDP and public health expenditure. The study make case for unceasing provision of an enabling environment that continuously support growth of the tertiary sector.

Implementing distributed leadership in Irish voluntary secondary schools from the principals’ perspective

ABSTRACT In 2018, the Irish Department of Education and Skills (DES) officially recommended a distributed leadership model as a new approach to leadership and management in post-primary schools. Policy implementation guidance was circulated to school management via DES circular CL003/2018. This study investigates the perspective of voluntary secondary school principals implementing CL003/2018 within the voluntary secondary school sector, where the role of the school principal is pivotal in its implementation. A pragmatic approach to the research methodology led to the adoption of a case study methodology within a mixed-method sequential quantitative > qualitative research design. The quantitative research instrument was an online survey distributed to a census population of voluntary secondary school principals in Ireland. Using Zoom, semi-structured interviews with ten voluntary secondary school principals informed the qualitative research. The findings are examined and interpreted within the literature on distributed leadership, with the concepts of power, accountability, and sustainability emerging from the research. The research identifies recommendations on professional learning for principals to develop sustainable leadership capacity within the voluntary secondary school sector, and the essential time to hold strategic leadership team meetings.

Predictors of Symptom Reduction and Remission Among People with Anxiety: Secondary Analyses from a Randomized Controlled Trial.

Despite the substantial disease burden of anxiety disorders, only limited or conflicting data on prognostic factors is available. Most studies include patients in the secondary healthcare sector thus, the generalizability of findings is limited. The present study examines predictors of symptom reduction and remission in patients with anxiety disorders in a primary care setting. 214 patients with anxiety disorders, recruited as part of the Collabri Flex trial, were included in secondary analyses. Data on potential predictors of anxiety symptoms at 6-month follow-up was collected at baseline, including patient characteristics related to demography, illness, comorbidity, functional level, life quality, and self-efficacy. The outcomes were symptom reduction and remission. Univariate and multivariate linear and logistic regression analyses were conducted to assess the associations between predictor variables and the outcome, and machine-learning methods were also applied. In multiple linear regression analysis, anxiety severity at baseline (β = -6.05, 95% CI = -7.54,-4.56, p < 0.001) and general psychological problems and symptoms of psychopathology (SCL-90-R score) (β = 2.19, 95% CI = 0.24,4.14, p = 0.028) were significantly associated with symptom change at 6months. Moreover, self-efficacy was associated with the outcome, however no longer significant in the multiple regression model. In multiple logistic regression analysis, anxiety severity at baseline (OR = 0.54, 95% CI = -1.13,-0.12, p = 0.018) was significantly associated with remission at 6months. There was no predictive performance of the machine-learning models. Our study contributes with information that could be valuable knowledge for managing anxiety disorders in primary care.

The effect of the global COVID-19 pandemic on the secondary sector in Côte d‘Ivoire

The effect of the global COVID-19 pandemic on the secondary sector in Côte d‘Ivoire

How is Economic Structure Transformed? Evidence: West Kalimantan Province of Indonesia

The Covid19 pandemic hit negatives contraction in economic structure. In West Kalimantan province, despite negative growth, primary and secondary sectors surprisingly drive positives contraction on the growth of mining, electricity, and agriculture. Based on this situation, we investigate the possibility of the structural transformation process during the pandemic. We translate Lewis's transformation theory to the chart of primary, secondary, and tertiary to see how the trendlines work generally. We use Static-Dynamic Location Quotient, Klassen typology, and Shift Share analysis, then discover negatives contraction in 2020 not significantly affected each sectors, but the pattern indicates the failed of transformation process between tertiary-primary, and the primary naturally proved as the main sector in economic structure. The critical point of our finding is the failure of structural transformation process potentially caused and locked by the failure of labour shifting.

Analisis Determinan Sektor Pertanian dan Sub Sektor Unggulan di Kabupaten Muaro Jambi

This research aims to determine the contribution of the agricultural sector to the GRDP of Muaro Jambi Regency, to determine and analyze what factors influence the growth of GRDP in the agricultural sector in Muaro Jambi Regency, and to determine and analyze the leading agricultural sector in Muaro Jambi Regency. Analysis year 2002-2022. The analytical method used is quantitative descriptive analysis and qualitative analysis. The results of the research show that the economic growth of Muaro Jambi Regency in 2002-2022 is 39.38%, the factors that influence the growth of GRDP in the agricultural sector in Muaro Jambi Regency are the area of agricultural land and investment in the agricultural sector, while the workforce in the agricultural sector and agricultural production are not has a significant effect on the growth of GRDP in the agricultural sector in Muaro Jambi Regency. The leading agricultural sector in Muaro Jambi Regency, as a result of location quotient analysis, is that there are 8 economic sectors classified as basic sectors and 9 non-basic sectors. The results of the dynamic location quatient analysis show that there are 8 economic sectors that have prospective potential and there are 9 economic sectors that do not have prospective potential. The results of the classic shift share analysis show that Jambi Province influences the increase in GDP of Muaro Jambi Regency, the highest economic shift value is in the primary sector, the second secondary sector and the third tertiary sector.

Do the sector-orientation and the origin of foreign direct investment explain types of corruption in Sub-Saharan Africa?

This paper focuses on analysing the effects of sector orientation and the origin of FDI on the types of corruption. The GMM technique and the IV-2SLS on a panel of Sub-Saharan African countries were used. Globally, we find that FDI increases political corruption in SSA. Moreover, the study shows that sector orientation and the origin of FDI have significant effects on each type of corruption. Primary sector FDI enhances public sector corruption and reduces judicial corruption. Secondary sector FDI increases executive, public, and judicial corruption. In the tertiary sector, executive and public corruption are enhanced while judiciary corruption is reduced. Regarding the origin, FDI from France increases public sector corruption whereas FDI from China and the USA reduces it. Executive corruption is reduced by FDI, regardless of its origin. FDI from France and the USA discourages judiciary corruption while FDI from China increases it. FDI from China reduces legislative corruption, while FDI from the USA tends to increase it. Furthermore, the analysis of the transmission channels shows education and development levels as important channels through which FDI could reduce corruption in SSA. Relevant policy implications derived from this study include the necessity for policy-makers to combat all types of corruption and mostly public corruption.

Corporate Debt Dynamics: Sectoral Clustering Analysis Using NACE Classification in Slovakia

Research background: Many authors are currently exploring the impact of the industry on the financial structure of enterprises since there are statistically significant differences across various sectors, exposing the industry as a critical factor influencing corporate indebtedness. Clusters of sectors with homogeneous patterns of indebtedness and comparable levels of debt in various economic conditions may be determined, and, therefore, firms and their debt levels should be systematically examined and evaluated. Purpose of the article: The main aim of this paper is to evaluate the level of debt in the Slovak environment on a sample of 19,480 firms from various sectors and to identify the relationships among them to identify sectors with homogeneous patterns of indebtedness and, consequently, comprehend which sectors are the most stable and independent. Methods: Because NACE classification provides a framework for gathering and presenting statistical data based on many economic sectors, the number of input data was reduced based on cluster analysis. Using Ward's hierarchical clustering method using squared Euclidean distance, selected indebtedness ratios were used to define the sectors with comparable debt levels. To determine if there were statistically significant differences between the calculated debt ratios related to the economic sector, the Kruskal-Wallis test was performed. Subsequently, as the results indicated significant differences across various indebtedness ratios, a post hoc analysis was performed. Findings &amp; Value added: A group of NACE activities in which enterprises are sufficiently comparable that it is appropriate to evaluate their debt levels using the chosen indebtedness ratios are considered to be in sectors C, F, G and H, which included to tertiary sector, while the sectors K, R and S may also be grouped in one cluster, while form the secondary sector. The key relevance of our findings is the benchmarking of selected sectors about indebtedness, which may be used to further examine their growth in each of the V4 nations, which is an essential area for the evolution of the European economy as a whole. Studies considering a relatively significant amount of capital structure determinants may be beneficial to owners and managers, regulators, and financial institutions since debt policy affects firm performance, value, and survival.

Navigating Through Disruption: How are School Principals Leading Digital Learning in Secondary Schools in Ireland

The COVID-19 pandemic forced school leaders to rapidly adopt digital technologies, sparking new awareness and discussions about digital education and its transformation. Despite significant advances, these changes may be minor compared to the potential impact of artificial intelligence and immersive technologies in education. This paper explores digital learning leadership in Ireland’s secondary school sector using the ISTE Standards for Educational Leaders as a guiding conceptual framework. Qualitative interviews with school principals from various secondary school types provide insights into their existing leadership practices and anticipate their future needs. Key findings revealed digital learning visions integrally woven into the school’s broader learning and educational vision and fresh assessments of student digital competence. They highlighted the salience of the school context in decision-making and the drive for more strategic deployment of formal leadership positions and relationships within and between schools. The implication of these findings underscores the imperative of professional learning models for school leaders that are sensitive to the unique context of each school, their bespoke opportunities and challenges, and the rapid advancements in digital technologies.

Konsep Transformasi Struktural Pada Sektor Industri

This study discusses the structural transformation of the industrial sector in Indonesia, which has undergone significant changes in the past two decades. This transformation is characterized by a decline in employment in primary sectors such as agriculture, and an increase in secondary and tertiary sectors, such as manufacturing and trade. This study aims to analyze the impact of structural transformation in industry on employment, the influence of structural transformation in industry, and the role of government in industrial transformation. The research method involves secondary data analysis from various sources and case studies. The results show that government intervention, improvement of labor skills, collaboration between sectors, and strict environmental protection are the keys to successful sustainable industrial transformation. The implications of this research lead to more integrated and sustainable policy recommendations to support optimal structural transformation.

Incidence and geographic differences in keratinocyte carcinoma and Bowen's disease in office‐based dermatological practice between 2013 and 2022: A nationwide Danish registry‐based study

AbstractBackgroundRates of keratinocyte carcinoma (KC) across Europe are impacted by population demographics and geography. Regional differences in KC occurrence exist, but few European studies investigate incidences of specific subtypes in the secondary healthcare sector on a national level.ObjectivesTo determine geographical differences in incidence rate and lifetime risk of KC subtypes across Denmark, including nodular and superficial basal cell carcinoma (BCC), squamous cell carcinoma (SCC) and the KC precursor, Bowen's disease (BD), identified in office‐based dermatological practice.MethodsBased on a nationwide registry (The Danish Skin Cancer Registry), all patients in Denmark's five regions with a histologically‐ or clinically verified KC or BD registered in a state‐funded office‐based dermatology practice between 2013 and 2022 were included. Trends in national‐ and region‐specific age and sex standardised tumour incidence rates (STIR) were calculated. Further, national lifetime risk of each tumour subtype was estimated.ResultsBetween 2013 and 2022, the combined STIR for KC/BD rose 172% nationally from 180 to 489 per 100,000 person‐years (PY). This increase reflected rising rates of nodular BCC, SCC, and BD, while superficial BCC incidence was relatively stable. Regional differences in STIR for combined KC/BD were observed, with the Capital Region and North Jutland generally demonstrating higher rates than Zealand, Southern‐ and Central Denmark (e.g., North Jutland vs. Southern Denmark: 714 vs. 405/100,000PY). While the estimated lifetime risk of developing at least one KC or BD tumour was 21.8%, risk varied with tumour subtype, resulting in subtype‐specific risks of 16.4%, 5.1%, 1.9% and 1.3% for nodular BCC, superficial BCC, SCC, and BD, respectively.ConclusionsIn Denmark's secondary dermatological care sector, incidence of nodular BCC, SCC and BD continues to rise with an overall lifetime risk nearing 22%. While KC incidence is increasing in Denmark, the study detected differences in geographical trends and rate increases of specific tumour subtypes.

Is complementary medicine and diagnosis associated among spinal patients in the secondary sector: a cross-sectional study

PurposeThe services defined as complementary and alternative medicine/healthcare (CAM) are used to varying degrees according to the nature of the health problem, and musculoskeletal disorders, in particular, often lead to the use of CAM. Chronic pain is often cited as a reason for using CAM, and it is also the cardinal symptom of patients with back pain referred for specialist care. However, previous studies do not consider the heterogeneity of back pain when examining the use of CAM. Thus, this study aimed to explore the associations between CAM use and clinical findings incl. ICD-10 diagnostic codes in such a context.MethodsIn a cross-sectional study, a logistic regression analysis examined associations between CAM use and clinical findings at a public outpatient spine department. Chi-squared test examined the association between self-reported reasons for CAM use and the diagnostic groups.ResultsOf the 432 patients in the study population, 23.8% reported using CAM within 12 months prior to clinical assessment. CAM use was associated with being female and of younger age. Seeking CAM was not associated with clinical findings nor diagnosis, and no statistically significant association between the reasons for seeking CAM and the diagnostic groups was described.ConclusionsAmong patients referred to specialist care for back pain, this study provides no evidence that the spinal condition should be expected to lead to the use of CAM. Only the individual demographic findings, specifically age and gender, were associated with CAM use.

Konsep Transformasi Struktural Pada Sektor Industri

Structural transformation is a process of transition from traditional economic system to modern economic system. Structural transformation is characterized by a shift in labor and investment from the primary sector to the secondary sector and the latter to the tertiary sector. Economic growth accompanied by structural transformation can be achieved by: (1) increasing productivity in each sector and (2) shifting labor from low-productivity to high-productivity sectors. One of the primary sectors in Indonesia is agriculture. Agriculture is an important sector for Indonesia. Indonesia is a country that is undergoing structural transformation the structural transformation of the economy generally from traditional agriculture to the agro-industrial sector and the non-agricultural sector (agribusiness) that creates higher added value (BPS, 2015)

Substantial increase of heat-induced labor and economic loss in China under rapid economic and environmental temperature growth

Exposure to heat stress causes diminished work performance and leads to economic loss. In the last two decades, China has experienced both rapid economic development and environmental warming; however, the spatiotemporal variations of association between environmental heat and labor loss have been rarely investigated behind this double impact. Here, we evaluated the variation in China's heat-induced labor productivity loss and related economic cost from 2001 to 2019 and investigated the effect of economic development and regional warming. We found that decline in labor productivity because of heat stress increased significantly (p < 0.05 for heavy-intensity work), and the corresponding economic loss also exhibited a drastic increase by 6- to 9-fold. The relative economic loss showed a slight but nonsignificant increase with an average value of 0.54% of the annual total earnings. At the sub-regional and sectoral level, adverse effects were more prominent in the southeast region, and the secondary industry sectors, such as construction and manufacturing, contributed to larger proportions of economic losses. The transformation of industrial structure made economic sectors more vulnerable to heat exposure, and increasingly preventive effects of air-conditioning use were noted on economic damage due to heat-induced productivity decline (36.0% relative economic benefits in 2019 compared to 9.7% in 2001). Our findings could provide a deep insight into heat burden on occupational health and heat adaptation strategies regionally under climate change, especially in developing areas with higher temperature and humidity environment.

Defining Aspects of the New Economy in Valea Jiului Carboniferous Basin

Abstract The new economy of Valea Jiului Carboniferous Basin changes the economic profile of the six localities with urban status in Hunedoara County: Petroșani, Vulcan, Lupeni, Petrila, Uricani and Aninoasa. The changes in the new economic landscape occurred in a relatively short period of time (about 33 years) and created educational, social and political imbalances. The new economy proposes the reintegration of a significant part of the population by abandoning extractive operations, reducing the secondary sector of the economy and focusing on the tertiary sector, the service sector. The business environment in the Valea Jiului coalfield is going through a new stage, which began with the restructuring that began in 1990. It is influenced positively or negatively by technological advances, European Union policies, local, national and international political events and the evolution of demand and supply. Technology and strategic innovators have the opportunity to quickly enter competitive markets and replace or assimilate local players.