scholarly journals Farmers' adaptation choices to climate change: a case study of wheat growers in Western Iran

2018 ◽  
Vol 10 (1) ◽  
pp. 102-116 ◽  
Author(s):  
Yousof Azadi ◽  
Masoud Yazdanpanah ◽  
Masoumeh Forouzani ◽  
Hossein Mahmoudi
Keyword(s):  
Climate Change ◽  
Financial Management ◽  
Negative Impact ◽  
Linear Regression Analysis ◽  
Principal Component ◽  
Multiple Linear Regression Analysis ◽  
Adaptation Measures ◽  
Western Iran ◽  
Multi Stage ◽  
Three Components

AbstractClimate change is expected to disproportionately affect farmers by further exacerbating the risks that they face. These risks have a huge negative impact on their livelihood. However, mounting evidence has revealed that farmers can effectively manage this negative impact by adapting their farming practices to climate change. The objectives of this study were to evaluate the farmers' ongoing adaptation measures, and to identify factors that influence their choice of adaptation methods in wheat production in the Kermanshah district in Western Iran. A sample of 350 farmers living in this region was selected through a multi-stage stratified and random sampling method. Principal component analysis revealed that three components play a role in the farmers' decisions on adaptation methods, namely, farm production practices, farm financial management, and government programs and insurance. The relative influence of the factors listed under each of the three components was assessed using a multiple linear regression analysis. Our analysis showed that these factors accounted for 50%, 25%, and 40% of the adaptation responses analyzed, respectively. In sum, our findings yield recommendations for agriculture extension and risk communication strategies that could promote adaptation behavior among Iranian farmers.

scholarly journals Empirical Evidences for Urban Influences on Public Health in Hamburg

2019 ◽  
Vol 9 (11) ◽  
pp. 2303 ◽  
Author(s):  
Malte von Szombathely ◽  
Benjamin Bechtel ◽  
Bernd Lemke ◽  
Jürgen Oßenbrügge ◽  
Thomas Pohl ◽  
...  
Keyword(s):  
Conceptual Model ◽  
Urban Health ◽  
Negative Impact ◽  
Linear Regression Analysis ◽  
Smoking Behavior ◽  
Principal Component ◽  
Well Being ◽  
Multiple Linear Regression Analysis ◽  
Data Set ◽  
Research Areas

From the current perspectives of urban health and environmental justice research, health is the result of a combination of individual, social and environmental factors. Yet, there are only few attempts to determine their joint influence on health and well-being. Grounded in debates surrounding conceptual models and based on a data set compiled for the city of Hamburg, this paper aims to provide insights into the most important variables influencing urban health. Theoretically, we are primarily referring to the conceptual model of health-related urban well-being (UrbWellth), which systemizes urban influences in four sectors. The systematization of the conceptual model is empirically confirmed by a principal component analysis: the factors derived from the data correspond well with the deductively derived model. Additionally, a multiple linear regression analysis was used to identify the most important variables influencing the participant’s self-rated health (SRH): rating of one’s social network, rating of neighborhood air quality, rating of neighborhood health infrastructure, heat stress (day/outdoors), cold stress (night/indoors). When controlling for age, income and smoking behavior, these variables explain 12% of the variance of SRH. Thus, these results support the concept of UrbWellth empirically. Finally, the study design helped to identify hotspots with negative impact on SRH within the research areas.

scholarly journals Assessing the Spatial Distribution of Soil PAHs and their Relationship with Anthropogenic Activities at a National Scale

2019 ◽  
Vol 16 (24) ◽  
pp. 4928 ◽  
Author(s):  
Siyan Zeng ◽  
Jing Ma ◽  
Yanhua Ren ◽  
Gang-Jun Liu ◽  
Qi Zhang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Rural Areas ◽  
Urban Areas ◽  
Negative Impact ◽  
Anthropogenic Activities ◽  
Linear Regression Analysis ◽  
Principal Component ◽  
Multiple Linear Regression Analysis ◽  
Anthropogenic Factors ◽  
Characteristic Ratio

Soil polycyclic aromatic hydrocarbon (PAH) pollution is a major concern due to its negative impact on soil quality around the world. In China, accurate data on soil PAHs and information on the relationship with anthropogenic activities are limited. In this study, about 30,800 samples from 1833 soil sample sites were reviewed from 306 published reports to build a soil PAHs database. Based on the data obtained, the results demonstrated that 24.11% of surface soils in China are heavily contaminated. Meanwhile, the concentration of soil PAHs varied, in the order of independent mining and industrial areas (IMIA) > urban areas > suburban areas > rural areas, and the spatial distribution in China demonstrated a descending trend from north to south. Moreover, the characteristic ratio and PCA-MLR (principal component analysis-multiple linear regression) analysis demonstrated that coal combustion and vehicular exhaust emissions were the main sources of soil PAH pollution in China. On the other hand, provincial total Σ16PAHs in surface soil were significantly correlated with the per square kilometer GDP (gross domestic product) of industrial land, the per capita GDP, as well as the production and consumption of energy. These results indicate that anthropogenic factors have greatly affected the levels of soil PAHs in China. This study improves our understanding on the status and sources of soil PAH contamination in China, thereby facilitating the implementation of strategies of prevention, control, and remediation of soils.

PENGARUH TRANSPARANSI PENGELOLAAN KEUANGAN DANA DESA DAN PEMBERDAYAAN MASYARAKAT TERHADAP KESEJAHTERAAN MASYARAKAT DESA SIDOHARJO

2020 ◽  
Vol 28 (1) ◽  
pp. 35-50
Author(s):  
Dewi Kusuma Wardani ◽  
Ratih Ranika Putri Utami
Keyword(s):  
Financial Management ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Community Empowerment ◽  
Primary Data ◽  
Community Members ◽  
The People ◽  
Quantitative Descriptive ◽  
Positive Effect

This study aims to determine the effect of transparency in financial management of village funds and community empowerment on community welfare in Sidoharjo Village, Tepus District, Gunungkidul Regency. This research method uses quantitative descriptive methods and primary data using questionnaires. This study took a sample of residents who were divided into 11 hamlets in Sidoharjo Village, Tepus District, Gunung kidul Regency. The sampling technique is stratified random sampling. Data collection is done by distributing questionnaires directly to people’s homes, attending social gatherings and routine meetings held by community members. It aims to obtain more data from respondents directly. The number of questionnaires processed was 120 questionnaires. Data were analyzed using multiple linear regression analysis. The results of this study indicate that community empowerment has a positive effect on the welfare of the people of Sidoharjo Village, Tepus District, Gunungkidul Regency, while transparency in financial management of village funds does not affect the welfare of the community in Sidoharjo Village, Tepus District, Gunungkidul Regency.

scholarly journals Farmers’ Perception on Climate Change: A Study in Tarai Region of Uttarakhand

2021 ◽  
pp. 581-591
Author(s):  
. Neha ◽  
Mohammad Aslam Ansari
Keyword(s):  
Climate Change ◽  
Negative Impact ◽  
Winter Season ◽  
Simple Random Sampling ◽  
Policy Formulation ◽  
Mitigation Measures ◽  
Peak Time ◽  
Adaptation Measures ◽  
Agriculture Sector ◽  
Long Run

Climate change has emerged as a potent threat disrupting the development process and is hurting several sectors of Indian economy, especially the agriculture sector. Knowledge about these disruptive factors can enable the farmers to mitigate the negative impact of climate change on agriculture. Therefore, the understanding of location-specific farmers’ perceptions and their adaptive behaviors can provide a better insight to design appropriate policy measures and guidelines to address these challenges effectively. The present study was aimed at determining farmers’ perceptions about climate change on agriculture. The study sample comprised 180 farmers selected using simple random sampling. The findings indicate that all the farmers (100%) were aware of climate change. All of them reported “increase in temperature” and “erratic rainfall” and “shortening of winter season” as the major indicators of climate change as experienced by them. Besides, 85.55 percent famers reported that “peak time of winter” has changed in Uttarakhand, a hilly state. Such perceptions about climate change can be seen as a precursor mediating the adoption of recommended practices and adaptation measures. Thus, the results of the study will enlighten the policy makers and agriculture scientists in preparing a roadmap for policy formulation regarding adaptation measures (short run initiatives) as well as undertaking mitigation measures (long run initiatives) of climate change besides helping the agriculture extension agencies to design and plan locale-specific adaptation strategies and agriculture development programs.

scholarly journals PENGARUH TEKNOLOGI INFORMASI DAN KOMPETENSI APARATUR PENGELOLA KEUANGAN TERHADAP KUALITAS INFORMASI AKUNTANSI PADA SKPD DI KOTA MANADO

2017 ◽  
Vol 12 (2) ◽  
Author(s):  
Ribka L.V Nantingkaseh ◽  
Ventje Ilat ◽  
Sintje Rondonuwu
Keyword(s):  
Information Technology ◽  
Financial Management ◽  
Linear Regression Analysis ◽  
Accounting Information ◽  
Financial Statements ◽  
Multiple Linear Regression Analysis ◽  
Financial Statement ◽  
Technology Competence ◽  
Quality Of Accounting Information

Quality of accounting information is a normative prerequisite that must be met in the preparation of financial statements so that accounting information generated can be useful for users of financial statement. This study aims to determine the effect of information technology and the competence of the financial management apparatus on the quality of accounting information on SPKD in Manado City. The data collected by through the spreading of questionnaires to 50 respondents which is the apparatus of financial management at SKPD in Manado City. The data were analyzed by using multiple linear regression analysis method with the help of SPSS 23 program. The result of this research indicates that information technology and competence of financial management apparatus have a positive and significant influence on the the quality of accounting information at SKPD in Manado City.Keywords : Information technology, Competence of financial management apparatus, Qualityof accounting information

scholarly journals Keputusan Keuangan dan Good Corporate Governance terhadap Kinerja Dimoderasi Ukuran Perusahaan

2019 ◽  
Vol 3 (1) ◽  
pp. 1-11
Author(s):  
AINUN JARIAH
Keyword(s):  
Corporate Governance ◽  
Financial Performance ◽  
Financial Management ◽  
Linear Regression Analysis ◽  
Investment Decisions ◽  
Multiple Linear Regression Analysis ◽  
Company Performance ◽  
Manufacturing Companies ◽  
Financial Decisions ◽  
Good Corporate Governance

Optimal financial performance is a company goal that can be achieved through the implementation of financial management functions. One way to improve company performance in addition to financial decisions is to implement good corporate governance. This study aims to determine the effect of financial management decisions and good corporate governance, partially or simultaneously on financial performance with the size of the company as moderating manufacturing in Indonesia. The number of samples is 37 manufacturing companies that routinely publish financial statements for the period 2014-2017. Using multiple linear regression analysis and moderation techniques, the results of the study show that partially funding decisions and good corporate governance significantly affect financial performance. Only investment decisions that have a significant partial effect on the size of the company. Investment decisions, funding decisions, dividend policies and good corporate governance simultaneously have a significant effect on both company size and financial performance. And the size of the company does not moderate the influence of financial decisions and good corporate governance on financial performance.

scholarly journals PENGARUH STRUKTUR KEPEMILIKAN DAN LEVERAGE TERHADAP RETURN SAHAM PADA PERUSAHAAN RITEL DI INDONESIA

2020 ◽  
Vol 8 (1) ◽  
pp. 19-30
Author(s):  
Fauziyah Nafishah
Keyword(s):  
Stock Returns ◽  
Financial Management ◽  
Stock Exchange ◽  
Hypothesis Test ◽  
Linear Regression Analysis ◽  
Sample Selection ◽  
Multiple Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Managerial Ownership ◽  
Financial Reports

Fauziyah Nafishah; This study aims to determine the effect of managerial ownership, and leverage on stock returns in retail companies in Indonesia.The research method used in this study is a quantitative method, the independent variable used in this study consists of managerial ownership structure and leverage while the dependent variable is stock returns. The population in this study are retail companies listed on the Indonesia Stock Exchange (IDX) listed on the Indonesia Stock Exchange 2013-2017 period. Sample selection through purposive sampling method. There are 7 (seven) companies that have criteria as research samples, so that the research data totaled 35 data. Data collection techniques used are document review, the data analyzed are annual financial reports (annual report), previous research journals and other literature relating to research problems. Data processing and analysis techniques include financial management analysis, multiple linear regression analysis, classic assumption test, hypothesis test, coefficient of determination test and coefficient of determination test. The results showed that managerial ownership partially influential and significant on stock returns, and partial leverage had no significant and significant effect on stock returns. While simultaneously managerial ownership, and leverage affect stock returns.Therefore, it is better for the company's internal parties to improve the company's performance because the company's performance and good company production will make investors interested in investing in these companies. Keyword : managerial ownership, leverage, stock returns

scholarly journals Consistency in Vulnerability Assessments of Wheat to Climate Change—A District-Level Analysis in India

2020 ◽  
Vol 12 (19) ◽  
pp. 8256
Author(s):  
Vanshika Dhamija ◽  
Roopam Shukla ◽  
Christoph Gornott ◽  
PK Joshi
Keyword(s):  
Climate Change ◽  
Principal Component ◽  
Central India ◽  
Climate Impacts ◽  
Wheat Crop ◽  
Climate Projections ◽  
Intergovernmental Panel ◽  
Adaptation Measures ◽  
Time Space ◽  
Weighting Methods

In India, a reduction in wheat crop yield would lead to a widespread impact on food security. In particular, the most vulnerable people are severely exposed to food insecurity. This study estimates the climate change vulnerability of wheat crops with respect to heterogeneities in time, space, and weighting methods. The study uses the Intergovernmental Panel on Climate Change (IPCC) framework of vulnerability while using composite indices of 27 indicators to explain exposure, sensitivity, and adaptive capacity. We used climate projections under current (1975–2005) conditions and two future (2021–2050) Representation Concentration Pathways (RCPs), 4.5 and 8.5, to estimate exposure to climatic risks. Consistency across three weighting methods (Analytical Hierarchy Process (AHP), Principal Component Analysis (PCA), and Equal Weights (EWs)) was evaluated. Results of the vulnerability profile suggest high vulnerability of the wheat crop in northern and central India. In particular, the districts Unnao, Sirsa, Hardoi, and Bathinda show high vulnerability and high consistency across current and future climate scenarios. In total, 84% of the districts show more than 75% consistency in the current climate, and 83% and 68% of the districts show more than 75% consistency for RCP 4.5 and RCP 8.5 climate scenario for the three weighting methods, respectively. By using different weighting methods, it was possible to quantify “method uncertainty” in vulnerability assessment and enhance robustness in identifying most vulnerable regions. Finally, we emphasize the importance of communicating uncertainties, both in data and methods in vulnerability research, to effectively guide adaptation planning. The results of this study would serve as the basis for designing climate impacts adjusted adaptation measures for policy interventions.

Salinity and climatic effects on the yields of citrus

1985 ◽  
Vol 25 (3) ◽  
pp. 711 ◽  
Author(s):  
PJ Cole ◽  
PI McCloud
Keyword(s):  
Regression Analysis ◽  
High Temperatures ◽  
Fruit Set ◽  
Yield Loss ◽  
Linear Regression Analysis ◽  
Principal Component ◽  
Multiple Linear Regression Analysis ◽  
Significant Variable ◽  
Irrigation Season ◽  
Climatic Effects

A multiple linear regression analysis of salinity and climate against yield of Valencia and Washington Navel Oranges was performed for the period 1945-79 on data from irrigated orchards in Sunraysia, Berri, Waikerie and Mypolonga. Principal component analysis was utilized to reduce the number of climatic variables introduced into the multiple regression analysis. High temperatures and high evaporation during flowering and fruit set (November and December) were associated with reduced yields in Sunraysia, Berri and Waikerie, possibly by increasing flower and fruit drop, and by reducing fruit set. At Mypolonga, the coolest location studied, high temperatures were associated with increased yields. Salinity was negatively associated with yield at Mypolonga, Waikerie and Berri, the locations of highest salinity. No effects were observed at Sunraysia. It was not possible to deduce a critical level of salinity in irrigation water that is associated with yield loss or the magnitude of yield loss from the statistical analyses. However, we did observe that salinity during the irrigation season prior to harvest was associated with decreased yields, while only at Mypolonga was salinity in the year of harvest a significant variable in the analyses.

Performance implications of industry appropriability for manufacturing SMEs

2015 ◽  
Vol 26 (5) ◽  
pp. 660-677 ◽  
Author(s):  
Safal Batra ◽  
Sunil Sharma ◽  
Mukund R Dixit ◽  
Neharika Vohra ◽  
Vishal K Gupta
Keyword(s):  
Negative Impact ◽  
Linear Regression Analysis ◽  
Limited Resource ◽  
Multiple Linear Regression Analysis ◽  
Resource Base ◽  
Firm Level ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
And Performance ◽  
Technology Orientation

Purpose – Industry appropriability – the degree to which firms in an industry can appropriate benefits from their innovations – is a crucial dimension of industry environment. Small and medium manufacturing enterprises (manufacturing SMEs), because of their limited resource base, tend to be especially sensitive to the appropriability conditions in their industry. The purpose of this paper is to understand the influence of industry appropriability on firm outcomes (innovativeness and performance), and posits technology orientation as a dynamic capability that helps firms overcome appropriability barriers in their industry. Design/methodology/approach – Data were collected from 162 manufacturing SMEs in India. Multiple linear regression analysis was used to test the proposed hypotheses. Findings – This study reveals that the perceived level of appropriability of manufacturing SMEs impacts their innovativeness. Further, findings also support technology orientation as a crucial firm-specific characteristic which enables firms to overcome unfavorable appropriability conditions. Technology orientation plays a significant role in mitigating the negative impact of lower appropriability conditions. Even when the patent regime is unfavorable, technology-oriented firms are able to innovate and perform better. Practical implications – The findings suggest technology orientation as a strategic mechanism for manufacturing SMEs to respond to conditions of unfavorable appropriability regime. Originality/value – This study elaborates the benefits of integrating industry-level and firm-level characteristics. Specifically, an attempt was made to extend the existing research on industry appropriability by bringing in the contingent effect of technology orientation. The context of manufacturing SMEs yielded several interesting insights.

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